diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,70193 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.8776958290248525, + "eval_steps": 500, + "global_step": 10000, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 8.776958290248525e-05, + "grad_norm": 0.40625, + "learning_rate": 3e-06, + "loss": 1.7689, + "step": 1 + }, + { + "epoch": 0.0001755391658049705, + "grad_norm": 0.38671875, + "learning_rate": 6e-06, + "loss": 1.7451, + "step": 2 + }, + { + "epoch": 0.00026330874870745575, + "grad_norm": 0.388671875, + "learning_rate": 9e-06, + "loss": 1.7571, + "step": 3 + }, + { + "epoch": 0.000351078331609941, + "grad_norm": 0.39453125, + "learning_rate": 1.2e-05, + "loss": 1.7319, + "step": 4 + }, + { + "epoch": 0.00043884791451242626, + "grad_norm": 0.36328125, + "learning_rate": 1.5e-05, + "loss": 1.7674, + "step": 5 + }, + { + "epoch": 0.0005266174974149115, + "grad_norm": 0.404296875, + "learning_rate": 1.8e-05, + "loss": 1.7341, + "step": 6 + }, + { + "epoch": 0.0006143870803173967, + "grad_norm": 0.357421875, + "learning_rate": 2.1000000000000002e-05, + "loss": 1.7525, + "step": 7 + }, + { + "epoch": 0.000702156663219882, + "grad_norm": 0.365234375, + "learning_rate": 2.4e-05, + "loss": 1.7367, + "step": 8 + }, + { + "epoch": 0.0007899262461223672, + "grad_norm": 0.3515625, + "learning_rate": 2.7e-05, + "loss": 1.7394, + "step": 9 + }, + { + "epoch": 0.0008776958290248525, + "grad_norm": 0.328125, + "learning_rate": 3e-05, + "loss": 1.7194, + "step": 10 + }, + { + "epoch": 0.0009654654119273377, + "grad_norm": 0.31640625, + "learning_rate": 3.2999999999999996e-05, + "loss": 1.7542, + "step": 11 + }, + { + "epoch": 0.001053234994829823, + "grad_norm": 0.310546875, + "learning_rate": 3.6e-05, + "loss": 1.7498, + "step": 12 + }, + { + "epoch": 0.0011410045777323083, + "grad_norm": 0.27734375, + "learning_rate": 3.9e-05, + "loss": 1.7251, + "step": 13 + }, + { + "epoch": 0.0012287741606347934, + "grad_norm": 0.271484375, + "learning_rate": 4.2000000000000004e-05, + "loss": 1.7456, + "step": 14 + }, + { + "epoch": 0.0013165437435372787, + "grad_norm": 0.251953125, + "learning_rate": 4.4999999999999996e-05, + "loss": 1.7261, + "step": 15 + }, + { + "epoch": 0.001404313326439764, + "grad_norm": 0.248046875, + "learning_rate": 4.8e-05, + "loss": 1.7426, + "step": 16 + }, + { + "epoch": 0.0014920829093422493, + "grad_norm": 0.2373046875, + "learning_rate": 5.1000000000000006e-05, + "loss": 1.7373, + "step": 17 + }, + { + "epoch": 0.0015798524922447344, + "grad_norm": 0.2236328125, + "learning_rate": 5.4e-05, + "loss": 1.7427, + "step": 18 + }, + { + "epoch": 0.0016676220751472197, + "grad_norm": 0.244140625, + "learning_rate": 5.7e-05, + "loss": 1.7142, + "step": 19 + }, + { + "epoch": 0.001755391658049705, + "grad_norm": 0.224609375, + "learning_rate": 6e-05, + "loss": 1.7586, + "step": 20 + }, + { + "epoch": 0.0018431612409521903, + "grad_norm": 0.2255859375, + "learning_rate": 6.3e-05, + "loss": 1.7348, + "step": 21 + }, + { + "epoch": 0.0019309308238546754, + "grad_norm": 0.2373046875, + "learning_rate": 6.599999999999999e-05, + "loss": 1.7164, + "step": 22 + }, + { + "epoch": 0.002018700406757161, + "grad_norm": 0.2138671875, + "learning_rate": 6.9e-05, + "loss": 1.7185, + "step": 23 + }, + { + "epoch": 0.002106469989659646, + "grad_norm": 0.2216796875, + "learning_rate": 7.2e-05, + "loss": 1.7122, + "step": 24 + }, + { + "epoch": 0.002194239572562131, + "grad_norm": 0.2177734375, + "learning_rate": 7.500000000000001e-05, + "loss": 1.7534, + "step": 25 + }, + { + "epoch": 0.0022820091554646166, + "grad_norm": 0.212890625, + "learning_rate": 7.8e-05, + "loss": 1.7097, + "step": 26 + }, + { + "epoch": 0.0023697787383671017, + "grad_norm": 0.197265625, + "learning_rate": 8.1e-05, + "loss": 1.7264, + "step": 27 + }, + { + "epoch": 0.002457548321269587, + "grad_norm": 0.1953125, + "learning_rate": 8.400000000000001e-05, + "loss": 1.7221, + "step": 28 + }, + { + "epoch": 0.0025453179041720723, + "grad_norm": 0.1962890625, + "learning_rate": 8.7e-05, + "loss": 1.7413, + "step": 29 + }, + { + "epoch": 0.0026330874870745574, + "grad_norm": 0.19140625, + "learning_rate": 8.999999999999999e-05, + "loss": 1.7129, + "step": 30 + }, + { + "epoch": 0.002720857069977043, + "grad_norm": 0.177734375, + "learning_rate": 9.3e-05, + "loss": 1.6926, + "step": 31 + }, + { + "epoch": 0.002808626652879528, + "grad_norm": 0.1708984375, + "learning_rate": 9.6e-05, + "loss": 1.7416, + "step": 32 + }, + { + "epoch": 0.002896396235782013, + "grad_norm": 0.1796875, + "learning_rate": 9.900000000000001e-05, + "loss": 1.7328, + "step": 33 + }, + { + "epoch": 0.0029841658186844987, + "grad_norm": 0.19140625, + "learning_rate": 0.00010200000000000001, + "loss": 1.7141, + "step": 34 + }, + { + "epoch": 0.0030719354015869837, + "grad_norm": 0.181640625, + "learning_rate": 0.00010500000000000002, + "loss": 1.7105, + "step": 35 + }, + { + "epoch": 0.003159704984489469, + "grad_norm": 0.16796875, + "learning_rate": 0.000108, + "loss": 1.7226, + "step": 36 + }, + { + "epoch": 0.0032474745673919544, + "grad_norm": 0.17578125, + "learning_rate": 0.000111, + "loss": 1.7251, + "step": 37 + }, + { + "epoch": 0.0033352441502944394, + "grad_norm": 0.1630859375, + "learning_rate": 0.000114, + "loss": 1.7446, + "step": 38 + }, + { + "epoch": 0.003423013733196925, + "grad_norm": 0.16015625, + "learning_rate": 0.000117, + "loss": 1.741, + "step": 39 + }, + { + "epoch": 0.00351078331609941, + "grad_norm": 0.17578125, + "learning_rate": 0.00012, + "loss": 1.6584, + "step": 40 + }, + { + "epoch": 0.003598552899001895, + "grad_norm": 0.158203125, + "learning_rate": 0.000123, + "loss": 1.6891, + "step": 41 + }, + { + "epoch": 0.0036863224819043807, + "grad_norm": 0.16015625, + "learning_rate": 0.000126, + "loss": 1.7028, + "step": 42 + }, + { + "epoch": 0.0037740920648068658, + "grad_norm": 0.16796875, + "learning_rate": 0.000129, + "loss": 1.6706, + "step": 43 + }, + { + "epoch": 0.003861861647709351, + "grad_norm": 0.1796875, + "learning_rate": 0.00013199999999999998, + "loss": 1.7151, + "step": 44 + }, + { + "epoch": 0.003949631230611836, + "grad_norm": 0.16796875, + "learning_rate": 0.000135, + "loss": 1.7094, + "step": 45 + }, + { + "epoch": 0.004037400813514322, + "grad_norm": 0.18359375, + "learning_rate": 0.000138, + "loss": 1.7015, + "step": 46 + }, + { + "epoch": 0.0041251703964168066, + "grad_norm": 0.1904296875, + "learning_rate": 0.000141, + "loss": 1.6753, + "step": 47 + }, + { + "epoch": 0.004212939979319292, + "grad_norm": 0.16796875, + "learning_rate": 0.000144, + "loss": 1.6983, + "step": 48 + }, + { + "epoch": 0.004300709562221778, + "grad_norm": 0.1875, + "learning_rate": 0.000147, + "loss": 1.6713, + "step": 49 + }, + { + "epoch": 0.004388479145124262, + "grad_norm": 0.1806640625, + "learning_rate": 0.00015000000000000001, + "loss": 1.7099, + "step": 50 + }, + { + "epoch": 0.004476248728026748, + "grad_norm": 0.216796875, + "learning_rate": 0.000153, + "loss": 1.698, + "step": 51 + }, + { + "epoch": 0.004564018310929233, + "grad_norm": 0.20703125, + "learning_rate": 0.000156, + "loss": 1.6855, + "step": 52 + }, + { + "epoch": 0.004651787893831718, + "grad_norm": 0.1796875, + "learning_rate": 0.000159, + "loss": 1.7034, + "step": 53 + }, + { + "epoch": 0.0047395574767342035, + "grad_norm": 0.162109375, + "learning_rate": 0.000162, + "loss": 1.7015, + "step": 54 + }, + { + "epoch": 0.004827327059636689, + "grad_norm": 0.1943359375, + "learning_rate": 0.000165, + "loss": 1.6715, + "step": 55 + }, + { + "epoch": 0.004915096642539174, + "grad_norm": 0.17578125, + "learning_rate": 0.00016800000000000002, + "loss": 1.6808, + "step": 56 + }, + { + "epoch": 0.005002866225441659, + "grad_norm": 0.16015625, + "learning_rate": 0.000171, + "loss": 1.6848, + "step": 57 + }, + { + "epoch": 0.005090635808344145, + "grad_norm": 0.1689453125, + "learning_rate": 0.000174, + "loss": 1.6683, + "step": 58 + }, + { + "epoch": 0.005178405391246629, + "grad_norm": 0.185546875, + "learning_rate": 0.000177, + "loss": 1.6896, + "step": 59 + }, + { + "epoch": 0.005266174974149115, + "grad_norm": 0.158203125, + "learning_rate": 0.00017999999999999998, + "loss": 1.7075, + "step": 60 + }, + { + "epoch": 0.0053539445570516, + "grad_norm": 0.1865234375, + "learning_rate": 0.000183, + "loss": 1.6605, + "step": 61 + }, + { + "epoch": 0.005441714139954086, + "grad_norm": 0.16796875, + "learning_rate": 0.000186, + "loss": 1.6536, + "step": 62 + }, + { + "epoch": 0.005529483722856571, + "grad_norm": 0.1650390625, + "learning_rate": 0.000189, + "loss": 1.6499, + "step": 63 + }, + { + "epoch": 0.005617253305759056, + "grad_norm": 0.17578125, + "learning_rate": 0.000192, + "loss": 1.6682, + "step": 64 + }, + { + "epoch": 0.005705022888661542, + "grad_norm": 0.171875, + "learning_rate": 0.00019500000000000002, + "loss": 1.6727, + "step": 65 + }, + { + "epoch": 0.005792792471564026, + "grad_norm": 0.158203125, + "learning_rate": 0.00019800000000000002, + "loss": 1.6554, + "step": 66 + }, + { + "epoch": 0.005880562054466512, + "grad_norm": 0.1767578125, + "learning_rate": 0.000201, + "loss": 1.651, + "step": 67 + }, + { + "epoch": 0.005968331637368997, + "grad_norm": 0.181640625, + "learning_rate": 0.00020400000000000003, + "loss": 1.6457, + "step": 68 + }, + { + "epoch": 0.006056101220271482, + "grad_norm": 0.171875, + "learning_rate": 0.00020700000000000002, + "loss": 1.6536, + "step": 69 + }, + { + "epoch": 0.0061438708031739675, + "grad_norm": 0.1982421875, + "learning_rate": 0.00021000000000000004, + "loss": 1.6843, + "step": 70 + }, + { + "epoch": 0.006231640386076453, + "grad_norm": 0.185546875, + "learning_rate": 0.00021299999999999997, + "loss": 1.6222, + "step": 71 + }, + { + "epoch": 0.006319409968978938, + "grad_norm": 0.236328125, + "learning_rate": 0.000216, + "loss": 1.6791, + "step": 72 + }, + { + "epoch": 0.006407179551881423, + "grad_norm": 0.2109375, + "learning_rate": 0.00021899999999999998, + "loss": 1.6917, + "step": 73 + }, + { + "epoch": 0.006494949134783909, + "grad_norm": 0.228515625, + "learning_rate": 0.000222, + "loss": 1.6895, + "step": 74 + }, + { + "epoch": 0.006582718717686393, + "grad_norm": 0.185546875, + "learning_rate": 0.000225, + "loss": 1.7024, + "step": 75 + }, + { + "epoch": 0.006670488300588879, + "grad_norm": 0.220703125, + "learning_rate": 0.000228, + "loss": 1.6649, + "step": 76 + }, + { + "epoch": 0.006758257883491364, + "grad_norm": 0.18359375, + "learning_rate": 0.000231, + "loss": 1.6537, + "step": 77 + }, + { + "epoch": 0.00684602746639385, + "grad_norm": 0.2001953125, + "learning_rate": 0.000234, + "loss": 1.6345, + "step": 78 + }, + { + "epoch": 0.006933797049296335, + "grad_norm": 0.21484375, + "learning_rate": 0.00023700000000000001, + "loss": 1.6799, + "step": 79 + }, + { + "epoch": 0.00702156663219882, + "grad_norm": 0.1826171875, + "learning_rate": 0.00024, + "loss": 1.6535, + "step": 80 + }, + { + "epoch": 0.007109336215101306, + "grad_norm": 0.251953125, + "learning_rate": 0.00024300000000000002, + "loss": 1.6421, + "step": 81 + }, + { + "epoch": 0.00719710579800379, + "grad_norm": 0.201171875, + "learning_rate": 0.000246, + "loss": 1.6371, + "step": 82 + }, + { + "epoch": 0.007284875380906276, + "grad_norm": 0.240234375, + "learning_rate": 0.00024900000000000004, + "loss": 1.6963, + "step": 83 + }, + { + "epoch": 0.007372644963808761, + "grad_norm": 0.205078125, + "learning_rate": 0.000252, + "loss": 1.6568, + "step": 84 + }, + { + "epoch": 0.007460414546711246, + "grad_norm": 0.220703125, + "learning_rate": 0.000255, + "loss": 1.6686, + "step": 85 + }, + { + "epoch": 0.0075481841296137315, + "grad_norm": 0.1962890625, + "learning_rate": 0.000258, + "loss": 1.6236, + "step": 86 + }, + { + "epoch": 0.007635953712516217, + "grad_norm": 0.2333984375, + "learning_rate": 0.000261, + "loss": 1.6198, + "step": 87 + }, + { + "epoch": 0.007723723295418702, + "grad_norm": 0.234375, + "learning_rate": 0.00026399999999999997, + "loss": 1.6159, + "step": 88 + }, + { + "epoch": 0.007811492878321187, + "grad_norm": 0.1767578125, + "learning_rate": 0.000267, + "loss": 1.6369, + "step": 89 + }, + { + "epoch": 0.007899262461223673, + "grad_norm": 0.275390625, + "learning_rate": 0.00027, + "loss": 1.5979, + "step": 90 + }, + { + "epoch": 0.007987032044126157, + "grad_norm": 0.1962890625, + "learning_rate": 0.000273, + "loss": 1.6274, + "step": 91 + }, + { + "epoch": 0.008074801627028644, + "grad_norm": 0.197265625, + "learning_rate": 0.000276, + "loss": 1.6396, + "step": 92 + }, + { + "epoch": 0.008162571209931128, + "grad_norm": 0.2060546875, + "learning_rate": 0.000279, + "loss": 1.6311, + "step": 93 + }, + { + "epoch": 0.008250340792833613, + "grad_norm": 0.22265625, + "learning_rate": 0.000282, + "loss": 1.6497, + "step": 94 + }, + { + "epoch": 0.0083381103757361, + "grad_norm": 0.20703125, + "learning_rate": 0.000285, + "loss": 1.6387, + "step": 95 + }, + { + "epoch": 0.008425879958638584, + "grad_norm": 0.203125, + "learning_rate": 0.000288, + "loss": 1.6348, + "step": 96 + }, + { + "epoch": 0.008513649541541069, + "grad_norm": 0.2021484375, + "learning_rate": 0.000291, + "loss": 1.6238, + "step": 97 + }, + { + "epoch": 0.008601419124443555, + "grad_norm": 0.208984375, + "learning_rate": 0.000294, + "loss": 1.6424, + "step": 98 + }, + { + "epoch": 0.00868918870734604, + "grad_norm": 0.201171875, + "learning_rate": 0.000297, + "loss": 1.6115, + "step": 99 + }, + { + "epoch": 0.008776958290248525, + "grad_norm": 0.2373046875, + "learning_rate": 0.00030000000000000003, + "loss": 1.6163, + "step": 100 + }, + { + "epoch": 0.008864727873151011, + "grad_norm": 0.1875, + "learning_rate": 0.00030300000000000005, + "loss": 1.6289, + "step": 101 + }, + { + "epoch": 0.008952497456053496, + "grad_norm": 0.216796875, + "learning_rate": 0.000306, + "loss": 1.6104, + "step": 102 + }, + { + "epoch": 0.00904026703895598, + "grad_norm": 0.18359375, + "learning_rate": 0.000309, + "loss": 1.5959, + "step": 103 + }, + { + "epoch": 0.009128036621858467, + "grad_norm": 0.232421875, + "learning_rate": 0.000312, + "loss": 1.6469, + "step": 104 + }, + { + "epoch": 0.009215806204760951, + "grad_norm": 0.2490234375, + "learning_rate": 0.000315, + "loss": 1.6033, + "step": 105 + }, + { + "epoch": 0.009303575787663436, + "grad_norm": 0.267578125, + "learning_rate": 0.000318, + "loss": 1.628, + "step": 106 + }, + { + "epoch": 0.009391345370565922, + "grad_norm": 0.23046875, + "learning_rate": 0.000321, + "loss": 1.6601, + "step": 107 + }, + { + "epoch": 0.009479114953468407, + "grad_norm": 0.23046875, + "learning_rate": 0.000324, + "loss": 1.6207, + "step": 108 + }, + { + "epoch": 0.009566884536370892, + "grad_norm": 0.234375, + "learning_rate": 0.000327, + "loss": 1.5845, + "step": 109 + }, + { + "epoch": 0.009654654119273378, + "grad_norm": 0.25390625, + "learning_rate": 0.00033, + "loss": 1.6281, + "step": 110 + }, + { + "epoch": 0.009742423702175863, + "grad_norm": 0.2119140625, + "learning_rate": 0.000333, + "loss": 1.6241, + "step": 111 + }, + { + "epoch": 0.009830193285078347, + "grad_norm": 0.2392578125, + "learning_rate": 0.00033600000000000004, + "loss": 1.6173, + "step": 112 + }, + { + "epoch": 0.009917962867980834, + "grad_norm": 0.224609375, + "learning_rate": 0.000339, + "loss": 1.6026, + "step": 113 + }, + { + "epoch": 0.010005732450883318, + "grad_norm": 0.220703125, + "learning_rate": 0.000342, + "loss": 1.6295, + "step": 114 + }, + { + "epoch": 0.010093502033785803, + "grad_norm": 0.26171875, + "learning_rate": 0.00034500000000000004, + "loss": 1.6142, + "step": 115 + }, + { + "epoch": 0.01018127161668829, + "grad_norm": 0.27734375, + "learning_rate": 0.000348, + "loss": 1.6091, + "step": 116 + }, + { + "epoch": 0.010269041199590774, + "grad_norm": 0.20703125, + "learning_rate": 0.000351, + "loss": 1.5936, + "step": 117 + }, + { + "epoch": 0.010356810782493259, + "grad_norm": 0.322265625, + "learning_rate": 0.000354, + "loss": 1.6154, + "step": 118 + }, + { + "epoch": 0.010444580365395745, + "grad_norm": 0.29296875, + "learning_rate": 0.000357, + "loss": 1.5782, + "step": 119 + }, + { + "epoch": 0.01053234994829823, + "grad_norm": 0.2060546875, + "learning_rate": 0.00035999999999999997, + "loss": 1.6065, + "step": 120 + }, + { + "epoch": 0.010620119531200716, + "grad_norm": 0.2373046875, + "learning_rate": 0.000363, + "loss": 1.5985, + "step": 121 + }, + { + "epoch": 0.0107078891141032, + "grad_norm": 0.1943359375, + "learning_rate": 0.000366, + "loss": 1.5969, + "step": 122 + }, + { + "epoch": 0.010795658697005685, + "grad_norm": 0.2197265625, + "learning_rate": 0.000369, + "loss": 1.6173, + "step": 123 + }, + { + "epoch": 0.010883428279908172, + "grad_norm": 0.2197265625, + "learning_rate": 0.000372, + "loss": 1.5828, + "step": 124 + }, + { + "epoch": 0.010971197862810656, + "grad_norm": 0.251953125, + "learning_rate": 0.000375, + "loss": 1.5594, + "step": 125 + }, + { + "epoch": 0.011058967445713141, + "grad_norm": 0.259765625, + "learning_rate": 0.000378, + "loss": 1.6131, + "step": 126 + }, + { + "epoch": 0.011146737028615628, + "grad_norm": 0.28125, + "learning_rate": 0.000381, + "loss": 1.6203, + "step": 127 + }, + { + "epoch": 0.011234506611518112, + "grad_norm": 0.2392578125, + "learning_rate": 0.000384, + "loss": 1.598, + "step": 128 + }, + { + "epoch": 0.011322276194420597, + "grad_norm": 0.267578125, + "learning_rate": 0.00038700000000000003, + "loss": 1.5817, + "step": 129 + }, + { + "epoch": 0.011410045777323083, + "grad_norm": 0.228515625, + "learning_rate": 0.00039000000000000005, + "loss": 1.5968, + "step": 130 + }, + { + "epoch": 0.011497815360225568, + "grad_norm": 0.251953125, + "learning_rate": 0.000393, + "loss": 1.6066, + "step": 131 + }, + { + "epoch": 0.011585584943128053, + "grad_norm": 0.251953125, + "learning_rate": 0.00039600000000000003, + "loss": 1.6208, + "step": 132 + }, + { + "epoch": 0.011673354526030539, + "grad_norm": 0.220703125, + "learning_rate": 0.00039900000000000005, + "loss": 1.5973, + "step": 133 + }, + { + "epoch": 0.011761124108933024, + "grad_norm": 0.263671875, + "learning_rate": 0.000402, + "loss": 1.588, + "step": 134 + }, + { + "epoch": 0.011848893691835508, + "grad_norm": 0.25, + "learning_rate": 0.00040500000000000003, + "loss": 1.6202, + "step": 135 + }, + { + "epoch": 0.011936663274737995, + "grad_norm": 0.283203125, + "learning_rate": 0.00040800000000000005, + "loss": 1.5611, + "step": 136 + }, + { + "epoch": 0.01202443285764048, + "grad_norm": 0.32421875, + "learning_rate": 0.000411, + "loss": 1.5582, + "step": 137 + }, + { + "epoch": 0.012112202440542964, + "grad_norm": 0.240234375, + "learning_rate": 0.00041400000000000003, + "loss": 1.5798, + "step": 138 + }, + { + "epoch": 0.01219997202344545, + "grad_norm": 0.244140625, + "learning_rate": 0.00041700000000000005, + "loss": 1.5895, + "step": 139 + }, + { + "epoch": 0.012287741606347935, + "grad_norm": 0.25, + "learning_rate": 0.00042000000000000007, + "loss": 1.605, + "step": 140 + }, + { + "epoch": 0.01237551118925042, + "grad_norm": 0.26953125, + "learning_rate": 0.000423, + "loss": 1.5972, + "step": 141 + }, + { + "epoch": 0.012463280772152906, + "grad_norm": 0.2197265625, + "learning_rate": 0.00042599999999999995, + "loss": 1.5651, + "step": 142 + }, + { + "epoch": 0.01255105035505539, + "grad_norm": 0.2265625, + "learning_rate": 0.00042899999999999997, + "loss": 1.5516, + "step": 143 + }, + { + "epoch": 0.012638819937957875, + "grad_norm": 0.2119140625, + "learning_rate": 0.000432, + "loss": 1.5887, + "step": 144 + }, + { + "epoch": 0.012726589520860362, + "grad_norm": 0.24609375, + "learning_rate": 0.000435, + "loss": 1.5829, + "step": 145 + }, + { + "epoch": 0.012814359103762846, + "grad_norm": 0.26953125, + "learning_rate": 0.00043799999999999997, + "loss": 1.5895, + "step": 146 + }, + { + "epoch": 0.012902128686665331, + "grad_norm": 0.234375, + "learning_rate": 0.000441, + "loss": 1.6111, + "step": 147 + }, + { + "epoch": 0.012989898269567817, + "grad_norm": 0.283203125, + "learning_rate": 0.000444, + "loss": 1.5881, + "step": 148 + }, + { + "epoch": 0.013077667852470302, + "grad_norm": 0.244140625, + "learning_rate": 0.00044699999999999997, + "loss": 1.5744, + "step": 149 + }, + { + "epoch": 0.013165437435372787, + "grad_norm": 0.263671875, + "learning_rate": 0.00045, + "loss": 1.5884, + "step": 150 + }, + { + "epoch": 0.013253207018275273, + "grad_norm": 0.357421875, + "learning_rate": 0.000453, + "loss": 1.5649, + "step": 151 + }, + { + "epoch": 0.013340976601177758, + "grad_norm": 0.31640625, + "learning_rate": 0.000456, + "loss": 1.5982, + "step": 152 + }, + { + "epoch": 0.013428746184080244, + "grad_norm": 0.328125, + "learning_rate": 0.000459, + "loss": 1.5878, + "step": 153 + }, + { + "epoch": 0.013516515766982729, + "grad_norm": 0.294921875, + "learning_rate": 0.000462, + "loss": 1.5519, + "step": 154 + }, + { + "epoch": 0.013604285349885213, + "grad_norm": 0.298828125, + "learning_rate": 0.000465, + "loss": 1.5693, + "step": 155 + }, + { + "epoch": 0.0136920549327877, + "grad_norm": 0.28125, + "learning_rate": 0.000468, + "loss": 1.5546, + "step": 156 + }, + { + "epoch": 0.013779824515690185, + "grad_norm": 0.375, + "learning_rate": 0.000471, + "loss": 1.5526, + "step": 157 + }, + { + "epoch": 0.01386759409859267, + "grad_norm": 0.337890625, + "learning_rate": 0.00047400000000000003, + "loss": 1.5593, + "step": 158 + }, + { + "epoch": 0.013955363681495156, + "grad_norm": 0.25390625, + "learning_rate": 0.000477, + "loss": 1.5608, + "step": 159 + }, + { + "epoch": 0.01404313326439764, + "grad_norm": 0.439453125, + "learning_rate": 0.00048, + "loss": 1.5527, + "step": 160 + }, + { + "epoch": 0.014130902847300125, + "grad_norm": 0.53125, + "learning_rate": 0.00048300000000000003, + "loss": 1.5818, + "step": 161 + }, + { + "epoch": 0.014218672430202611, + "grad_norm": 0.263671875, + "learning_rate": 0.00048600000000000005, + "loss": 1.5687, + "step": 162 + }, + { + "epoch": 0.014306442013105096, + "grad_norm": 0.47265625, + "learning_rate": 0.0004890000000000001, + "loss": 1.5944, + "step": 163 + }, + { + "epoch": 0.01439421159600758, + "grad_norm": 0.466796875, + "learning_rate": 0.000492, + "loss": 1.6024, + "step": 164 + }, + { + "epoch": 0.014481981178910067, + "grad_norm": 0.279296875, + "learning_rate": 0.000495, + "loss": 1.561, + "step": 165 + }, + { + "epoch": 0.014569750761812552, + "grad_norm": 0.578125, + "learning_rate": 0.0004980000000000001, + "loss": 1.576, + "step": 166 + }, + { + "epoch": 0.014657520344715036, + "grad_norm": 0.451171875, + "learning_rate": 0.000501, + "loss": 1.536, + "step": 167 + }, + { + "epoch": 0.014745289927617523, + "grad_norm": 0.2578125, + "learning_rate": 0.000504, + "loss": 1.5691, + "step": 168 + }, + { + "epoch": 0.014833059510520007, + "grad_norm": 0.423828125, + "learning_rate": 0.0005070000000000001, + "loss": 1.5502, + "step": 169 + }, + { + "epoch": 0.014920829093422492, + "grad_norm": 0.310546875, + "learning_rate": 0.00051, + "loss": 1.5524, + "step": 170 + }, + { + "epoch": 0.015008598676324978, + "grad_norm": 0.376953125, + "learning_rate": 0.000513, + "loss": 1.582, + "step": 171 + }, + { + "epoch": 0.015096368259227463, + "grad_norm": 0.51171875, + "learning_rate": 0.000516, + "loss": 1.5702, + "step": 172 + }, + { + "epoch": 0.015184137842129948, + "grad_norm": 0.31640625, + "learning_rate": 0.0005189999999999999, + "loss": 1.578, + "step": 173 + }, + { + "epoch": 0.015271907425032434, + "grad_norm": 0.59375, + "learning_rate": 0.000522, + "loss": 1.534, + "step": 174 + }, + { + "epoch": 0.015359677007934919, + "grad_norm": 0.365234375, + "learning_rate": 0.000525, + "loss": 1.5624, + "step": 175 + }, + { + "epoch": 0.015447446590837403, + "grad_norm": 0.412109375, + "learning_rate": 0.0005279999999999999, + "loss": 1.5523, + "step": 176 + }, + { + "epoch": 0.01553521617373989, + "grad_norm": 0.365234375, + "learning_rate": 0.000531, + "loss": 1.5955, + "step": 177 + }, + { + "epoch": 0.015622985756642374, + "grad_norm": 0.291015625, + "learning_rate": 0.000534, + "loss": 1.5625, + "step": 178 + }, + { + "epoch": 0.01571075533954486, + "grad_norm": 0.33203125, + "learning_rate": 0.000537, + "loss": 1.553, + "step": 179 + }, + { + "epoch": 0.015798524922447345, + "grad_norm": 0.287109375, + "learning_rate": 0.00054, + "loss": 1.5868, + "step": 180 + }, + { + "epoch": 0.01588629450534983, + "grad_norm": 0.357421875, + "learning_rate": 0.000543, + "loss": 1.5586, + "step": 181 + }, + { + "epoch": 0.015974064088252315, + "grad_norm": 0.294921875, + "learning_rate": 0.000546, + "loss": 1.5364, + "step": 182 + }, + { + "epoch": 0.0160618336711548, + "grad_norm": 0.28125, + "learning_rate": 0.000549, + "loss": 1.5587, + "step": 183 + }, + { + "epoch": 0.016149603254057288, + "grad_norm": 0.29296875, + "learning_rate": 0.000552, + "loss": 1.5493, + "step": 184 + }, + { + "epoch": 0.016237372836959772, + "grad_norm": 0.2333984375, + "learning_rate": 0.000555, + "loss": 1.5635, + "step": 185 + }, + { + "epoch": 0.016325142419862257, + "grad_norm": 0.296875, + "learning_rate": 0.000558, + "loss": 1.5035, + "step": 186 + }, + { + "epoch": 0.01641291200276474, + "grad_norm": 0.2578125, + "learning_rate": 0.000561, + "loss": 1.5546, + "step": 187 + }, + { + "epoch": 0.016500681585667226, + "grad_norm": 0.43359375, + "learning_rate": 0.000564, + "loss": 1.5222, + "step": 188 + }, + { + "epoch": 0.01658845116856971, + "grad_norm": 0.291015625, + "learning_rate": 0.000567, + "loss": 1.5477, + "step": 189 + }, + { + "epoch": 0.0166762207514722, + "grad_norm": 0.3125, + "learning_rate": 0.00057, + "loss": 1.5579, + "step": 190 + }, + { + "epoch": 0.016763990334374684, + "grad_norm": 0.353515625, + "learning_rate": 0.000573, + "loss": 1.5225, + "step": 191 + }, + { + "epoch": 0.01685175991727717, + "grad_norm": 0.291015625, + "learning_rate": 0.000576, + "loss": 1.5301, + "step": 192 + }, + { + "epoch": 0.016939529500179653, + "grad_norm": 0.2255859375, + "learning_rate": 0.000579, + "loss": 1.5545, + "step": 193 + }, + { + "epoch": 0.017027299083082138, + "grad_norm": 0.287109375, + "learning_rate": 0.000582, + "loss": 1.5481, + "step": 194 + }, + { + "epoch": 0.017115068665984622, + "grad_norm": 0.330078125, + "learning_rate": 0.000585, + "loss": 1.5556, + "step": 195 + }, + { + "epoch": 0.01720283824888711, + "grad_norm": 0.2265625, + "learning_rate": 0.000588, + "loss": 1.5607, + "step": 196 + }, + { + "epoch": 0.017290607831789595, + "grad_norm": 0.294921875, + "learning_rate": 0.000591, + "loss": 1.5166, + "step": 197 + }, + { + "epoch": 0.01737837741469208, + "grad_norm": 0.240234375, + "learning_rate": 0.000594, + "loss": 1.5709, + "step": 198 + }, + { + "epoch": 0.017466146997594564, + "grad_norm": 0.255859375, + "learning_rate": 0.0005970000000000001, + "loss": 1.5871, + "step": 199 + }, + { + "epoch": 0.01755391658049705, + "grad_norm": 0.2333984375, + "learning_rate": 0.0006000000000000001, + "loss": 1.5793, + "step": 200 + }, + { + "epoch": 0.017641686163399534, + "grad_norm": 0.3046875, + "learning_rate": 0.000603, + "loss": 1.5614, + "step": 201 + }, + { + "epoch": 0.017729455746302022, + "grad_norm": 0.232421875, + "learning_rate": 0.0006060000000000001, + "loss": 1.566, + "step": 202 + }, + { + "epoch": 0.017817225329204506, + "grad_norm": 0.25390625, + "learning_rate": 0.0006090000000000001, + "loss": 1.5251, + "step": 203 + }, + { + "epoch": 0.01790499491210699, + "grad_norm": 0.2373046875, + "learning_rate": 0.000612, + "loss": 1.5759, + "step": 204 + }, + { + "epoch": 0.017992764495009476, + "grad_norm": 0.259765625, + "learning_rate": 0.000615, + "loss": 1.568, + "step": 205 + }, + { + "epoch": 0.01808053407791196, + "grad_norm": 0.3046875, + "learning_rate": 0.000618, + "loss": 1.5376, + "step": 206 + }, + { + "epoch": 0.01816830366081445, + "grad_norm": 0.357421875, + "learning_rate": 0.000621, + "loss": 1.529, + "step": 207 + }, + { + "epoch": 0.018256073243716933, + "grad_norm": 0.3515625, + "learning_rate": 0.000624, + "loss": 1.5411, + "step": 208 + }, + { + "epoch": 0.018343842826619418, + "grad_norm": 0.28515625, + "learning_rate": 0.000627, + "loss": 1.5323, + "step": 209 + }, + { + "epoch": 0.018431612409521902, + "grad_norm": 0.2734375, + "learning_rate": 0.00063, + "loss": 1.5671, + "step": 210 + }, + { + "epoch": 0.018519381992424387, + "grad_norm": 0.2255859375, + "learning_rate": 0.000633, + "loss": 1.528, + "step": 211 + }, + { + "epoch": 0.018607151575326872, + "grad_norm": 0.279296875, + "learning_rate": 0.000636, + "loss": 1.5338, + "step": 212 + }, + { + "epoch": 0.01869492115822936, + "grad_norm": 0.384765625, + "learning_rate": 0.000639, + "loss": 1.4899, + "step": 213 + }, + { + "epoch": 0.018782690741131845, + "grad_norm": 0.34765625, + "learning_rate": 0.000642, + "loss": 1.5698, + "step": 214 + }, + { + "epoch": 0.01887046032403433, + "grad_norm": 0.353515625, + "learning_rate": 0.000645, + "loss": 1.5581, + "step": 215 + }, + { + "epoch": 0.018958229906936814, + "grad_norm": 0.248046875, + "learning_rate": 0.000648, + "loss": 1.5541, + "step": 216 + }, + { + "epoch": 0.0190459994898393, + "grad_norm": 0.25, + "learning_rate": 0.000651, + "loss": 1.5394, + "step": 217 + }, + { + "epoch": 0.019133769072741783, + "grad_norm": 0.2412109375, + "learning_rate": 0.000654, + "loss": 1.5317, + "step": 218 + }, + { + "epoch": 0.01922153865564427, + "grad_norm": 0.2431640625, + "learning_rate": 0.000657, + "loss": 1.4966, + "step": 219 + }, + { + "epoch": 0.019309308238546756, + "grad_norm": 0.318359375, + "learning_rate": 0.00066, + "loss": 1.54, + "step": 220 + }, + { + "epoch": 0.01939707782144924, + "grad_norm": 0.345703125, + "learning_rate": 0.0006630000000000001, + "loss": 1.5467, + "step": 221 + }, + { + "epoch": 0.019484847404351725, + "grad_norm": 0.43359375, + "learning_rate": 0.000666, + "loss": 1.5047, + "step": 222 + }, + { + "epoch": 0.01957261698725421, + "grad_norm": 0.50390625, + "learning_rate": 0.000669, + "loss": 1.5274, + "step": 223 + }, + { + "epoch": 0.019660386570156695, + "grad_norm": 0.64453125, + "learning_rate": 0.0006720000000000001, + "loss": 1.5205, + "step": 224 + }, + { + "epoch": 0.019748156153059183, + "grad_norm": 0.74609375, + "learning_rate": 0.000675, + "loss": 1.528, + "step": 225 + }, + { + "epoch": 0.019835925735961667, + "grad_norm": 0.494140625, + "learning_rate": 0.000678, + "loss": 1.5186, + "step": 226 + }, + { + "epoch": 0.019923695318864152, + "grad_norm": 0.291015625, + "learning_rate": 0.0006810000000000001, + "loss": 1.5292, + "step": 227 + }, + { + "epoch": 0.020011464901766637, + "grad_norm": 0.3515625, + "learning_rate": 0.000684, + "loss": 1.5265, + "step": 228 + }, + { + "epoch": 0.02009923448466912, + "grad_norm": 0.357421875, + "learning_rate": 0.000687, + "loss": 1.4965, + "step": 229 + }, + { + "epoch": 0.020187004067571606, + "grad_norm": 0.3671875, + "learning_rate": 0.0006900000000000001, + "loss": 1.4951, + "step": 230 + }, + { + "epoch": 0.020274773650474094, + "grad_norm": 0.365234375, + "learning_rate": 0.000693, + "loss": 1.5387, + "step": 231 + }, + { + "epoch": 0.02036254323337658, + "grad_norm": 0.318359375, + "learning_rate": 0.000696, + "loss": 1.5147, + "step": 232 + }, + { + "epoch": 0.020450312816279063, + "grad_norm": 0.34375, + "learning_rate": 0.0006990000000000001, + "loss": 1.4739, + "step": 233 + }, + { + "epoch": 0.020538082399181548, + "grad_norm": 0.31640625, + "learning_rate": 0.000702, + "loss": 1.5632, + "step": 234 + }, + { + "epoch": 0.020625851982084033, + "grad_norm": 0.447265625, + "learning_rate": 0.000705, + "loss": 1.5118, + "step": 235 + }, + { + "epoch": 0.020713621564986517, + "grad_norm": 0.279296875, + "learning_rate": 0.000708, + "loss": 1.5593, + "step": 236 + }, + { + "epoch": 0.020801391147889006, + "grad_norm": 0.361328125, + "learning_rate": 0.0007109999999999999, + "loss": 1.5134, + "step": 237 + }, + { + "epoch": 0.02088916073079149, + "grad_norm": 0.546875, + "learning_rate": 0.000714, + "loss": 1.4698, + "step": 238 + }, + { + "epoch": 0.020976930313693975, + "grad_norm": 0.5625, + "learning_rate": 0.000717, + "loss": 1.5551, + "step": 239 + }, + { + "epoch": 0.02106469989659646, + "grad_norm": 0.43359375, + "learning_rate": 0.0007199999999999999, + "loss": 1.5045, + "step": 240 + }, + { + "epoch": 0.021152469479498944, + "grad_norm": 0.345703125, + "learning_rate": 0.000723, + "loss": 1.5291, + "step": 241 + }, + { + "epoch": 0.021240239062401432, + "grad_norm": 0.294921875, + "learning_rate": 0.000726, + "loss": 1.5537, + "step": 242 + }, + { + "epoch": 0.021328008645303917, + "grad_norm": 0.306640625, + "learning_rate": 0.000729, + "loss": 1.5157, + "step": 243 + }, + { + "epoch": 0.0214157782282064, + "grad_norm": 0.33203125, + "learning_rate": 0.000732, + "loss": 1.4763, + "step": 244 + }, + { + "epoch": 0.021503547811108886, + "grad_norm": 0.36328125, + "learning_rate": 0.000735, + "loss": 1.5265, + "step": 245 + }, + { + "epoch": 0.02159131739401137, + "grad_norm": 0.279296875, + "learning_rate": 0.000738, + "loss": 1.5019, + "step": 246 + }, + { + "epoch": 0.021679086976913856, + "grad_norm": 0.2373046875, + "learning_rate": 0.000741, + "loss": 1.5275, + "step": 247 + }, + { + "epoch": 0.021766856559816344, + "grad_norm": 0.330078125, + "learning_rate": 0.000744, + "loss": 1.4965, + "step": 248 + }, + { + "epoch": 0.02185462614271883, + "grad_norm": 0.35546875, + "learning_rate": 0.000747, + "loss": 1.5335, + "step": 249 + }, + { + "epoch": 0.021942395725621313, + "grad_norm": 0.28515625, + "learning_rate": 0.00075, + "loss": 1.4928, + "step": 250 + }, + { + "epoch": 0.022030165308523798, + "grad_norm": 0.36328125, + "learning_rate": 0.000753, + "loss": 1.5167, + "step": 251 + }, + { + "epoch": 0.022117934891426282, + "grad_norm": 0.3671875, + "learning_rate": 0.000756, + "loss": 1.4861, + "step": 252 + }, + { + "epoch": 0.022205704474328767, + "grad_norm": 0.53515625, + "learning_rate": 0.000759, + "loss": 1.4847, + "step": 253 + }, + { + "epoch": 0.022293474057231255, + "grad_norm": 0.91015625, + "learning_rate": 0.000762, + "loss": 1.5386, + "step": 254 + }, + { + "epoch": 0.02238124364013374, + "grad_norm": 1.1875, + "learning_rate": 0.0007650000000000001, + "loss": 1.5287, + "step": 255 + }, + { + "epoch": 0.022469013223036224, + "grad_norm": 0.384765625, + "learning_rate": 0.000768, + "loss": 1.5219, + "step": 256 + }, + { + "epoch": 0.02255678280593871, + "grad_norm": 0.96875, + "learning_rate": 0.000771, + "loss": 1.5138, + "step": 257 + }, + { + "epoch": 0.022644552388841194, + "grad_norm": 1.046875, + "learning_rate": 0.0007740000000000001, + "loss": 1.5172, + "step": 258 + }, + { + "epoch": 0.02273232197174368, + "grad_norm": 0.390625, + "learning_rate": 0.000777, + "loss": 1.4874, + "step": 259 + }, + { + "epoch": 0.022820091554646166, + "grad_norm": 1.0078125, + "learning_rate": 0.0007800000000000001, + "loss": 1.5269, + "step": 260 + }, + { + "epoch": 0.02290786113754865, + "grad_norm": 0.421875, + "learning_rate": 0.0007830000000000001, + "loss": 1.5049, + "step": 261 + }, + { + "epoch": 0.022995630720451136, + "grad_norm": 0.58984375, + "learning_rate": 0.000786, + "loss": 1.5297, + "step": 262 + }, + { + "epoch": 0.02308340030335362, + "grad_norm": 0.37890625, + "learning_rate": 0.0007890000000000001, + "loss": 1.516, + "step": 263 + }, + { + "epoch": 0.023171169886256105, + "grad_norm": 0.48046875, + "learning_rate": 0.0007920000000000001, + "loss": 1.5185, + "step": 264 + }, + { + "epoch": 0.02325893946915859, + "grad_norm": 0.333984375, + "learning_rate": 0.000795, + "loss": 1.4899, + "step": 265 + }, + { + "epoch": 0.023346709052061078, + "grad_norm": 0.408203125, + "learning_rate": 0.0007980000000000001, + "loss": 1.5057, + "step": 266 + }, + { + "epoch": 0.023434478634963563, + "grad_norm": 0.33203125, + "learning_rate": 0.0008010000000000001, + "loss": 1.518, + "step": 267 + }, + { + "epoch": 0.023522248217866047, + "grad_norm": 0.279296875, + "learning_rate": 0.000804, + "loss": 1.4779, + "step": 268 + }, + { + "epoch": 0.023610017800768532, + "grad_norm": 0.36328125, + "learning_rate": 0.0008070000000000001, + "loss": 1.483, + "step": 269 + }, + { + "epoch": 0.023697787383671017, + "grad_norm": 0.302734375, + "learning_rate": 0.0008100000000000001, + "loss": 1.5232, + "step": 270 + }, + { + "epoch": 0.023785556966573505, + "grad_norm": 0.333984375, + "learning_rate": 0.000813, + "loss": 1.5, + "step": 271 + }, + { + "epoch": 0.02387332654947599, + "grad_norm": 0.34765625, + "learning_rate": 0.0008160000000000001, + "loss": 1.4608, + "step": 272 + }, + { + "epoch": 0.023961096132378474, + "grad_norm": 0.306640625, + "learning_rate": 0.0008190000000000001, + "loss": 1.4699, + "step": 273 + }, + { + "epoch": 0.02404886571528096, + "grad_norm": 0.279296875, + "learning_rate": 0.000822, + "loss": 1.493, + "step": 274 + }, + { + "epoch": 0.024136635298183443, + "grad_norm": 0.28515625, + "learning_rate": 0.0008250000000000001, + "loss": 1.5142, + "step": 275 + }, + { + "epoch": 0.024224404881085928, + "grad_norm": 0.326171875, + "learning_rate": 0.0008280000000000001, + "loss": 1.5442, + "step": 276 + }, + { + "epoch": 0.024312174463988416, + "grad_norm": 0.30859375, + "learning_rate": 0.0008310000000000001, + "loss": 1.5254, + "step": 277 + }, + { + "epoch": 0.0243999440468909, + "grad_norm": 0.28515625, + "learning_rate": 0.0008340000000000001, + "loss": 1.4906, + "step": 278 + }, + { + "epoch": 0.024487713629793385, + "grad_norm": 0.291015625, + "learning_rate": 0.0008370000000000001, + "loss": 1.4933, + "step": 279 + }, + { + "epoch": 0.02457548321269587, + "grad_norm": 0.294921875, + "learning_rate": 0.0008400000000000001, + "loss": 1.5112, + "step": 280 + }, + { + "epoch": 0.024663252795598355, + "grad_norm": 0.34375, + "learning_rate": 0.0008430000000000001, + "loss": 1.4743, + "step": 281 + }, + { + "epoch": 0.02475102237850084, + "grad_norm": 0.419921875, + "learning_rate": 0.000846, + "loss": 1.5153, + "step": 282 + }, + { + "epoch": 0.024838791961403327, + "grad_norm": 0.265625, + "learning_rate": 0.0008489999999999999, + "loss": 1.4923, + "step": 283 + }, + { + "epoch": 0.024926561544305812, + "grad_norm": 0.267578125, + "learning_rate": 0.0008519999999999999, + "loss": 1.4636, + "step": 284 + }, + { + "epoch": 0.025014331127208297, + "grad_norm": 0.298828125, + "learning_rate": 0.000855, + "loss": 1.5013, + "step": 285 + }, + { + "epoch": 0.02510210071011078, + "grad_norm": 0.294921875, + "learning_rate": 0.0008579999999999999, + "loss": 1.4789, + "step": 286 + }, + { + "epoch": 0.025189870293013266, + "grad_norm": 0.25, + "learning_rate": 0.000861, + "loss": 1.4871, + "step": 287 + }, + { + "epoch": 0.02527763987591575, + "grad_norm": 0.29296875, + "learning_rate": 0.000864, + "loss": 1.4758, + "step": 288 + }, + { + "epoch": 0.02536540945881824, + "grad_norm": 0.310546875, + "learning_rate": 0.0008669999999999999, + "loss": 1.4956, + "step": 289 + }, + { + "epoch": 0.025453179041720723, + "grad_norm": 0.2734375, + "learning_rate": 0.00087, + "loss": 1.5027, + "step": 290 + }, + { + "epoch": 0.025540948624623208, + "grad_norm": 0.33203125, + "learning_rate": 0.000873, + "loss": 1.503, + "step": 291 + }, + { + "epoch": 0.025628718207525693, + "grad_norm": 0.2421875, + "learning_rate": 0.0008759999999999999, + "loss": 1.4981, + "step": 292 + }, + { + "epoch": 0.025716487790428177, + "grad_norm": 0.337890625, + "learning_rate": 0.000879, + "loss": 1.5098, + "step": 293 + }, + { + "epoch": 0.025804257373330662, + "grad_norm": 0.44140625, + "learning_rate": 0.000882, + "loss": 1.4731, + "step": 294 + }, + { + "epoch": 0.02589202695623315, + "grad_norm": 0.78125, + "learning_rate": 0.0008849999999999999, + "loss": 1.4688, + "step": 295 + }, + { + "epoch": 0.025979796539135635, + "grad_norm": 1.2265625, + "learning_rate": 0.000888, + "loss": 1.4874, + "step": 296 + }, + { + "epoch": 0.02606756612203812, + "grad_norm": 0.5546875, + "learning_rate": 0.000891, + "loss": 1.4911, + "step": 297 + }, + { + "epoch": 0.026155335704940604, + "grad_norm": 0.37109375, + "learning_rate": 0.0008939999999999999, + "loss": 1.51, + "step": 298 + }, + { + "epoch": 0.02624310528784309, + "grad_norm": 0.71484375, + "learning_rate": 0.000897, + "loss": 1.509, + "step": 299 + }, + { + "epoch": 0.026330874870745574, + "grad_norm": 0.58203125, + "learning_rate": 0.0009, + "loss": 1.5112, + "step": 300 + }, + { + "epoch": 0.02641864445364806, + "grad_norm": 0.4140625, + "learning_rate": 0.0009029999999999999, + "loss": 1.5105, + "step": 301 + }, + { + "epoch": 0.026506414036550546, + "grad_norm": 0.310546875, + "learning_rate": 0.000906, + "loss": 1.5134, + "step": 302 + }, + { + "epoch": 0.02659418361945303, + "grad_norm": 0.333984375, + "learning_rate": 0.000909, + "loss": 1.4693, + "step": 303 + }, + { + "epoch": 0.026681953202355516, + "grad_norm": 0.3359375, + "learning_rate": 0.000912, + "loss": 1.4779, + "step": 304 + }, + { + "epoch": 0.026769722785258, + "grad_norm": 0.36328125, + "learning_rate": 0.000915, + "loss": 1.4689, + "step": 305 + }, + { + "epoch": 0.02685749236816049, + "grad_norm": 0.337890625, + "learning_rate": 0.000918, + "loss": 1.4608, + "step": 306 + }, + { + "epoch": 0.026945261951062973, + "grad_norm": 0.3203125, + "learning_rate": 0.000921, + "loss": 1.5206, + "step": 307 + }, + { + "epoch": 0.027033031533965458, + "grad_norm": 0.447265625, + "learning_rate": 0.000924, + "loss": 1.4968, + "step": 308 + }, + { + "epoch": 0.027120801116867942, + "grad_norm": 0.4609375, + "learning_rate": 0.000927, + "loss": 1.4968, + "step": 309 + }, + { + "epoch": 0.027208570699770427, + "grad_norm": 0.392578125, + "learning_rate": 0.00093, + "loss": 1.4736, + "step": 310 + }, + { + "epoch": 0.02729634028267291, + "grad_norm": 0.36328125, + "learning_rate": 0.000933, + "loss": 1.4864, + "step": 311 + }, + { + "epoch": 0.0273841098655754, + "grad_norm": 0.4375, + "learning_rate": 0.000936, + "loss": 1.4975, + "step": 312 + }, + { + "epoch": 0.027471879448477884, + "grad_norm": 0.48046875, + "learning_rate": 0.0009390000000000001, + "loss": 1.4502, + "step": 313 + }, + { + "epoch": 0.02755964903138037, + "grad_norm": 0.4921875, + "learning_rate": 0.000942, + "loss": 1.4725, + "step": 314 + }, + { + "epoch": 0.027647418614282854, + "grad_norm": 0.279296875, + "learning_rate": 0.000945, + "loss": 1.505, + "step": 315 + }, + { + "epoch": 0.02773518819718534, + "grad_norm": 0.447265625, + "learning_rate": 0.0009480000000000001, + "loss": 1.4774, + "step": 316 + }, + { + "epoch": 0.027822957780087823, + "grad_norm": 0.6015625, + "learning_rate": 0.000951, + "loss": 1.5004, + "step": 317 + }, + { + "epoch": 0.02791072736299031, + "grad_norm": 0.62890625, + "learning_rate": 0.000954, + "loss": 1.4844, + "step": 318 + }, + { + "epoch": 0.027998496945892796, + "grad_norm": 0.375, + "learning_rate": 0.0009570000000000001, + "loss": 1.4924, + "step": 319 + }, + { + "epoch": 0.02808626652879528, + "grad_norm": 0.33984375, + "learning_rate": 0.00096, + "loss": 1.4896, + "step": 320 + }, + { + "epoch": 0.028174036111697765, + "grad_norm": 0.365234375, + "learning_rate": 0.000963, + "loss": 1.5079, + "step": 321 + }, + { + "epoch": 0.02826180569460025, + "grad_norm": 0.357421875, + "learning_rate": 0.0009660000000000001, + "loss": 1.4842, + "step": 322 + }, + { + "epoch": 0.028349575277502734, + "grad_norm": 0.2578125, + "learning_rate": 0.000969, + "loss": 1.4825, + "step": 323 + }, + { + "epoch": 0.028437344860405223, + "grad_norm": 0.2734375, + "learning_rate": 0.0009720000000000001, + "loss": 1.502, + "step": 324 + }, + { + "epoch": 0.028525114443307707, + "grad_norm": 0.39453125, + "learning_rate": 0.0009750000000000001, + "loss": 1.4996, + "step": 325 + }, + { + "epoch": 0.028612884026210192, + "grad_norm": 0.435546875, + "learning_rate": 0.0009780000000000001, + "loss": 1.4486, + "step": 326 + }, + { + "epoch": 0.028700653609112677, + "grad_norm": 0.421875, + "learning_rate": 0.000981, + "loss": 1.483, + "step": 327 + }, + { + "epoch": 0.02878842319201516, + "grad_norm": 0.328125, + "learning_rate": 0.000984, + "loss": 1.465, + "step": 328 + }, + { + "epoch": 0.028876192774917646, + "grad_norm": 0.2412109375, + "learning_rate": 0.000987, + "loss": 1.4744, + "step": 329 + }, + { + "epoch": 0.028963962357820134, + "grad_norm": 0.240234375, + "learning_rate": 0.00099, + "loss": 1.4533, + "step": 330 + }, + { + "epoch": 0.02905173194072262, + "grad_norm": 1.1640625, + "learning_rate": 0.0009930000000000002, + "loss": 1.4598, + "step": 331 + }, + { + "epoch": 0.029139501523625103, + "grad_norm": 0.333984375, + "learning_rate": 0.0009960000000000001, + "loss": 1.4901, + "step": 332 + }, + { + "epoch": 0.029227271106527588, + "grad_norm": 0.474609375, + "learning_rate": 0.000999, + "loss": 1.5001, + "step": 333 + }, + { + "epoch": 0.029315040689430073, + "grad_norm": 0.5234375, + "learning_rate": 0.001002, + "loss": 1.4961, + "step": 334 + }, + { + "epoch": 0.029402810272332557, + "grad_norm": 0.46484375, + "learning_rate": 0.001005, + "loss": 1.4744, + "step": 335 + }, + { + "epoch": 0.029490579855235045, + "grad_norm": 0.4375, + "learning_rate": 0.001008, + "loss": 1.4319, + "step": 336 + }, + { + "epoch": 0.02957834943813753, + "grad_norm": 0.447265625, + "learning_rate": 0.0010110000000000002, + "loss": 1.4544, + "step": 337 + }, + { + "epoch": 0.029666119021040015, + "grad_norm": 0.53125, + "learning_rate": 0.0010140000000000001, + "loss": 1.4933, + "step": 338 + }, + { + "epoch": 0.0297538886039425, + "grad_norm": 0.5234375, + "learning_rate": 0.0010170000000000001, + "loss": 1.4171, + "step": 339 + }, + { + "epoch": 0.029841658186844984, + "grad_norm": 0.48046875, + "learning_rate": 0.00102, + "loss": 1.4674, + "step": 340 + }, + { + "epoch": 0.029929427769747472, + "grad_norm": 0.470703125, + "learning_rate": 0.001023, + "loss": 1.4816, + "step": 341 + }, + { + "epoch": 0.030017197352649957, + "grad_norm": 0.365234375, + "learning_rate": 0.001026, + "loss": 1.5247, + "step": 342 + }, + { + "epoch": 0.03010496693555244, + "grad_norm": 0.31640625, + "learning_rate": 0.0010290000000000002, + "loss": 1.5058, + "step": 343 + }, + { + "epoch": 0.030192736518454926, + "grad_norm": 0.326171875, + "learning_rate": 0.001032, + "loss": 1.4926, + "step": 344 + }, + { + "epoch": 0.03028050610135741, + "grad_norm": 0.59765625, + "learning_rate": 0.001035, + "loss": 1.4171, + "step": 345 + }, + { + "epoch": 0.030368275684259895, + "grad_norm": 0.72265625, + "learning_rate": 0.0010379999999999999, + "loss": 1.4589, + "step": 346 + }, + { + "epoch": 0.030456045267162384, + "grad_norm": 0.8671875, + "learning_rate": 0.001041, + "loss": 1.4681, + "step": 347 + }, + { + "epoch": 0.030543814850064868, + "grad_norm": 1.140625, + "learning_rate": 0.001044, + "loss": 1.4715, + "step": 348 + }, + { + "epoch": 0.030631584432967353, + "grad_norm": 0.640625, + "learning_rate": 0.001047, + "loss": 1.4296, + "step": 349 + }, + { + "epoch": 0.030719354015869837, + "grad_norm": 0.34375, + "learning_rate": 0.00105, + "loss": 1.4862, + "step": 350 + }, + { + "epoch": 0.030807123598772322, + "grad_norm": 0.490234375, + "learning_rate": 0.001053, + "loss": 1.4369, + "step": 351 + }, + { + "epoch": 0.030894893181674807, + "grad_norm": 0.296875, + "learning_rate": 0.0010559999999999999, + "loss": 1.506, + "step": 352 + }, + { + "epoch": 0.030982662764577295, + "grad_norm": 0.2890625, + "learning_rate": 0.001059, + "loss": 1.4843, + "step": 353 + }, + { + "epoch": 0.03107043234747978, + "grad_norm": 0.23828125, + "learning_rate": 0.001062, + "loss": 1.4721, + "step": 354 + }, + { + "epoch": 0.031158201930382264, + "grad_norm": 0.298828125, + "learning_rate": 0.001065, + "loss": 1.4635, + "step": 355 + }, + { + "epoch": 0.03124597151328475, + "grad_norm": 0.271484375, + "learning_rate": 0.001068, + "loss": 1.5184, + "step": 356 + }, + { + "epoch": 0.03133374109618724, + "grad_norm": 0.2890625, + "learning_rate": 0.001071, + "loss": 1.4645, + "step": 357 + }, + { + "epoch": 0.03142151067908972, + "grad_norm": 0.376953125, + "learning_rate": 0.001074, + "loss": 1.4442, + "step": 358 + }, + { + "epoch": 0.031509280261992206, + "grad_norm": 0.2734375, + "learning_rate": 0.001077, + "loss": 1.4393, + "step": 359 + }, + { + "epoch": 0.03159704984489469, + "grad_norm": 0.26171875, + "learning_rate": 0.00108, + "loss": 1.495, + "step": 360 + }, + { + "epoch": 0.031684819427797176, + "grad_norm": 0.291015625, + "learning_rate": 0.001083, + "loss": 1.4464, + "step": 361 + }, + { + "epoch": 0.03177258901069966, + "grad_norm": 0.337890625, + "learning_rate": 0.001086, + "loss": 1.4554, + "step": 362 + }, + { + "epoch": 0.031860358593602145, + "grad_norm": 0.2265625, + "learning_rate": 0.001089, + "loss": 1.4758, + "step": 363 + }, + { + "epoch": 0.03194812817650463, + "grad_norm": 0.3359375, + "learning_rate": 0.001092, + "loss": 1.4644, + "step": 364 + }, + { + "epoch": 0.032035897759407114, + "grad_norm": 0.40234375, + "learning_rate": 0.001095, + "loss": 1.4704, + "step": 365 + }, + { + "epoch": 0.0321236673423096, + "grad_norm": 0.328125, + "learning_rate": 0.001098, + "loss": 1.4682, + "step": 366 + }, + { + "epoch": 0.032211436925212084, + "grad_norm": 0.435546875, + "learning_rate": 0.001101, + "loss": 1.4806, + "step": 367 + }, + { + "epoch": 0.032299206508114575, + "grad_norm": 0.52734375, + "learning_rate": 0.001104, + "loss": 1.4375, + "step": 368 + }, + { + "epoch": 0.03238697609101706, + "grad_norm": 0.4921875, + "learning_rate": 0.001107, + "loss": 1.4962, + "step": 369 + }, + { + "epoch": 0.032474745673919544, + "grad_norm": 0.58203125, + "learning_rate": 0.00111, + "loss": 1.4409, + "step": 370 + }, + { + "epoch": 0.03256251525682203, + "grad_norm": 0.796875, + "learning_rate": 0.001113, + "loss": 1.5093, + "step": 371 + }, + { + "epoch": 0.032650284839724514, + "grad_norm": 0.69921875, + "learning_rate": 0.001116, + "loss": 1.4576, + "step": 372 + }, + { + "epoch": 0.032738054422627, + "grad_norm": 0.42578125, + "learning_rate": 0.001119, + "loss": 1.4691, + "step": 373 + }, + { + "epoch": 0.03282582400552948, + "grad_norm": 0.349609375, + "learning_rate": 0.001122, + "loss": 1.4446, + "step": 374 + }, + { + "epoch": 0.03291359358843197, + "grad_norm": 0.337890625, + "learning_rate": 0.0011250000000000001, + "loss": 1.4638, + "step": 375 + }, + { + "epoch": 0.03300136317133445, + "grad_norm": 0.328125, + "learning_rate": 0.001128, + "loss": 1.4647, + "step": 376 + }, + { + "epoch": 0.03308913275423694, + "grad_norm": 0.328125, + "learning_rate": 0.001131, + "loss": 1.4811, + "step": 377 + }, + { + "epoch": 0.03317690233713942, + "grad_norm": 0.275390625, + "learning_rate": 0.001134, + "loss": 1.4713, + "step": 378 + }, + { + "epoch": 0.03326467192004191, + "grad_norm": 0.3828125, + "learning_rate": 0.001137, + "loss": 1.455, + "step": 379 + }, + { + "epoch": 0.0333524415029444, + "grad_norm": 0.478515625, + "learning_rate": 0.00114, + "loss": 1.4806, + "step": 380 + }, + { + "epoch": 0.03344021108584688, + "grad_norm": 0.59765625, + "learning_rate": 0.0011430000000000001, + "loss": 1.4486, + "step": 381 + }, + { + "epoch": 0.03352798066874937, + "grad_norm": 0.65234375, + "learning_rate": 0.001146, + "loss": 1.5052, + "step": 382 + }, + { + "epoch": 0.03361575025165185, + "grad_norm": 0.56640625, + "learning_rate": 0.001149, + "loss": 1.4378, + "step": 383 + }, + { + "epoch": 0.03370351983455434, + "grad_norm": 0.447265625, + "learning_rate": 0.001152, + "loss": 1.4448, + "step": 384 + }, + { + "epoch": 0.03379128941745682, + "grad_norm": 0.34765625, + "learning_rate": 0.001155, + "loss": 1.4563, + "step": 385 + }, + { + "epoch": 0.033879059000359306, + "grad_norm": 0.306640625, + "learning_rate": 0.001158, + "loss": 1.4746, + "step": 386 + }, + { + "epoch": 0.03396682858326179, + "grad_norm": 0.36328125, + "learning_rate": 0.0011610000000000001, + "loss": 1.4195, + "step": 387 + }, + { + "epoch": 0.034054598166164275, + "grad_norm": 0.427734375, + "learning_rate": 0.001164, + "loss": 1.4748, + "step": 388 + }, + { + "epoch": 0.03414236774906676, + "grad_norm": 0.45703125, + "learning_rate": 0.001167, + "loss": 1.4435, + "step": 389 + }, + { + "epoch": 0.034230137331969245, + "grad_norm": 0.396484375, + "learning_rate": 0.00117, + "loss": 1.5054, + "step": 390 + }, + { + "epoch": 0.034317906914871736, + "grad_norm": 0.322265625, + "learning_rate": 0.001173, + "loss": 1.4637, + "step": 391 + }, + { + "epoch": 0.03440567649777422, + "grad_norm": 0.40625, + "learning_rate": 0.001176, + "loss": 1.4625, + "step": 392 + }, + { + "epoch": 0.034493446080676705, + "grad_norm": 0.376953125, + "learning_rate": 0.0011790000000000001, + "loss": 1.4551, + "step": 393 + }, + { + "epoch": 0.03458121566357919, + "grad_norm": 0.466796875, + "learning_rate": 0.001182, + "loss": 1.4235, + "step": 394 + }, + { + "epoch": 0.034668985246481675, + "grad_norm": 0.359375, + "learning_rate": 0.001185, + "loss": 1.4662, + "step": 395 + }, + { + "epoch": 0.03475675482938416, + "grad_norm": 0.298828125, + "learning_rate": 0.001188, + "loss": 1.4661, + "step": 396 + }, + { + "epoch": 0.034844524412286644, + "grad_norm": 0.3671875, + "learning_rate": 0.001191, + "loss": 1.4496, + "step": 397 + }, + { + "epoch": 0.03493229399518913, + "grad_norm": 0.404296875, + "learning_rate": 0.0011940000000000002, + "loss": 1.4556, + "step": 398 + }, + { + "epoch": 0.03502006357809161, + "grad_norm": 0.3828125, + "learning_rate": 0.0011970000000000001, + "loss": 1.4646, + "step": 399 + }, + { + "epoch": 0.0351078331609941, + "grad_norm": 0.37890625, + "learning_rate": 0.0012000000000000001, + "loss": 1.4353, + "step": 400 + }, + { + "epoch": 0.03519560274389658, + "grad_norm": 0.54296875, + "learning_rate": 0.001203, + "loss": 1.4552, + "step": 401 + }, + { + "epoch": 0.03528337232679907, + "grad_norm": 0.70703125, + "learning_rate": 0.001206, + "loss": 1.4238, + "step": 402 + }, + { + "epoch": 0.03537114190970156, + "grad_norm": 0.86328125, + "learning_rate": 0.001209, + "loss": 1.467, + "step": 403 + }, + { + "epoch": 0.035458911492604044, + "grad_norm": 1.0390625, + "learning_rate": 0.0012120000000000002, + "loss": 1.488, + "step": 404 + }, + { + "epoch": 0.03554668107550653, + "grad_norm": 0.890625, + "learning_rate": 0.0012150000000000002, + "loss": 1.505, + "step": 405 + }, + { + "epoch": 0.03563445065840901, + "grad_norm": 0.466796875, + "learning_rate": 0.0012180000000000001, + "loss": 1.4489, + "step": 406 + }, + { + "epoch": 0.0357222202413115, + "grad_norm": 0.419921875, + "learning_rate": 0.0012209999999999999, + "loss": 1.4478, + "step": 407 + }, + { + "epoch": 0.03580998982421398, + "grad_norm": 0.61328125, + "learning_rate": 0.001224, + "loss": 1.5016, + "step": 408 + }, + { + "epoch": 0.03589775940711647, + "grad_norm": 0.44921875, + "learning_rate": 0.001227, + "loss": 1.4721, + "step": 409 + }, + { + "epoch": 0.03598552899001895, + "grad_norm": 0.30859375, + "learning_rate": 0.00123, + "loss": 1.4401, + "step": 410 + }, + { + "epoch": 0.036073298572921436, + "grad_norm": 0.46484375, + "learning_rate": 0.001233, + "loss": 1.4316, + "step": 411 + }, + { + "epoch": 0.03616106815582392, + "grad_norm": 0.375, + "learning_rate": 0.001236, + "loss": 1.4899, + "step": 412 + }, + { + "epoch": 0.036248837738726405, + "grad_norm": 0.349609375, + "learning_rate": 0.0012389999999999999, + "loss": 1.459, + "step": 413 + }, + { + "epoch": 0.0363366073216289, + "grad_norm": 0.46875, + "learning_rate": 0.001242, + "loss": 1.4614, + "step": 414 + }, + { + "epoch": 0.03642437690453138, + "grad_norm": 0.326171875, + "learning_rate": 0.001245, + "loss": 1.4686, + "step": 415 + }, + { + "epoch": 0.036512146487433866, + "grad_norm": 0.2890625, + "learning_rate": 0.001248, + "loss": 1.4314, + "step": 416 + }, + { + "epoch": 0.03659991607033635, + "grad_norm": 0.2734375, + "learning_rate": 0.001251, + "loss": 1.4779, + "step": 417 + }, + { + "epoch": 0.036687685653238836, + "grad_norm": 0.26953125, + "learning_rate": 0.001254, + "loss": 1.4588, + "step": 418 + }, + { + "epoch": 0.03677545523614132, + "grad_norm": 0.3125, + "learning_rate": 0.0012569999999999999, + "loss": 1.4517, + "step": 419 + }, + { + "epoch": 0.036863224819043805, + "grad_norm": 0.2265625, + "learning_rate": 0.00126, + "loss": 1.4708, + "step": 420 + }, + { + "epoch": 0.03695099440194629, + "grad_norm": 0.25, + "learning_rate": 0.001263, + "loss": 1.3873, + "step": 421 + }, + { + "epoch": 0.037038763984848774, + "grad_norm": 0.287109375, + "learning_rate": 0.001266, + "loss": 1.4315, + "step": 422 + }, + { + "epoch": 0.03712653356775126, + "grad_norm": 0.59765625, + "learning_rate": 0.001269, + "loss": 1.4852, + "step": 423 + }, + { + "epoch": 0.037214303150653744, + "grad_norm": 0.48828125, + "learning_rate": 0.001272, + "loss": 1.4162, + "step": 424 + }, + { + "epoch": 0.03730207273355623, + "grad_norm": 0.375, + "learning_rate": 0.001275, + "loss": 1.4792, + "step": 425 + }, + { + "epoch": 0.03738984231645872, + "grad_norm": 0.33984375, + "learning_rate": 0.001278, + "loss": 1.4004, + "step": 426 + }, + { + "epoch": 0.037477611899361205, + "grad_norm": 0.2890625, + "learning_rate": 0.001281, + "loss": 1.4025, + "step": 427 + }, + { + "epoch": 0.03756538148226369, + "grad_norm": 0.28125, + "learning_rate": 0.001284, + "loss": 1.4255, + "step": 428 + }, + { + "epoch": 0.037653151065166174, + "grad_norm": 0.248046875, + "learning_rate": 0.001287, + "loss": 1.4704, + "step": 429 + }, + { + "epoch": 0.03774092064806866, + "grad_norm": 0.357421875, + "learning_rate": 0.00129, + "loss": 1.3953, + "step": 430 + }, + { + "epoch": 0.03782869023097114, + "grad_norm": 0.287109375, + "learning_rate": 0.001293, + "loss": 1.4279, + "step": 431 + }, + { + "epoch": 0.03791645981387363, + "grad_norm": 0.421875, + "learning_rate": 0.001296, + "loss": 1.4645, + "step": 432 + }, + { + "epoch": 0.03800422939677611, + "grad_norm": 0.55078125, + "learning_rate": 0.001299, + "loss": 1.4312, + "step": 433 + }, + { + "epoch": 0.0380919989796786, + "grad_norm": 0.62109375, + "learning_rate": 0.001302, + "loss": 1.4486, + "step": 434 + }, + { + "epoch": 0.03817976856258108, + "grad_norm": 1.1953125, + "learning_rate": 0.001305, + "loss": 1.4482, + "step": 435 + }, + { + "epoch": 0.038267538145483566, + "grad_norm": 1.0546875, + "learning_rate": 0.001308, + "loss": 1.4681, + "step": 436 + }, + { + "epoch": 0.03835530772838605, + "grad_norm": 0.55078125, + "learning_rate": 0.001311, + "loss": 1.4597, + "step": 437 + }, + { + "epoch": 0.03844307731128854, + "grad_norm": 0.61328125, + "learning_rate": 0.001314, + "loss": 1.4637, + "step": 438 + }, + { + "epoch": 0.03853084689419103, + "grad_norm": 2.390625, + "learning_rate": 0.001317, + "loss": 1.4723, + "step": 439 + }, + { + "epoch": 0.03861861647709351, + "grad_norm": 0.6484375, + "learning_rate": 0.00132, + "loss": 1.4858, + "step": 440 + }, + { + "epoch": 0.038706386059996, + "grad_norm": 0.435546875, + "learning_rate": 0.001323, + "loss": 1.4264, + "step": 441 + }, + { + "epoch": 0.03879415564289848, + "grad_norm": 0.53125, + "learning_rate": 0.0013260000000000001, + "loss": 1.4633, + "step": 442 + }, + { + "epoch": 0.038881925225800966, + "grad_norm": 0.34375, + "learning_rate": 0.001329, + "loss": 1.4634, + "step": 443 + }, + { + "epoch": 0.03896969480870345, + "grad_norm": 0.357421875, + "learning_rate": 0.001332, + "loss": 1.4455, + "step": 444 + }, + { + "epoch": 0.039057464391605935, + "grad_norm": 0.462890625, + "learning_rate": 0.001335, + "loss": 1.4572, + "step": 445 + }, + { + "epoch": 0.03914523397450842, + "grad_norm": 0.6015625, + "learning_rate": 0.001338, + "loss": 1.4889, + "step": 446 + }, + { + "epoch": 0.039233003557410905, + "grad_norm": 0.51171875, + "learning_rate": 0.001341, + "loss": 1.4454, + "step": 447 + }, + { + "epoch": 0.03932077314031339, + "grad_norm": 0.248046875, + "learning_rate": 0.0013440000000000001, + "loss": 1.4824, + "step": 448 + }, + { + "epoch": 0.03940854272321588, + "grad_norm": 0.369140625, + "learning_rate": 0.001347, + "loss": 1.4214, + "step": 449 + }, + { + "epoch": 0.039496312306118365, + "grad_norm": 0.443359375, + "learning_rate": 0.00135, + "loss": 1.4663, + "step": 450 + }, + { + "epoch": 0.03958408188902085, + "grad_norm": 0.310546875, + "learning_rate": 0.001353, + "loss": 1.4223, + "step": 451 + }, + { + "epoch": 0.039671851471923335, + "grad_norm": 0.287109375, + "learning_rate": 0.001356, + "loss": 1.4393, + "step": 452 + }, + { + "epoch": 0.03975962105482582, + "grad_norm": 0.421875, + "learning_rate": 0.001359, + "loss": 1.4849, + "step": 453 + }, + { + "epoch": 0.039847390637728304, + "grad_norm": 0.31640625, + "learning_rate": 0.0013620000000000001, + "loss": 1.4257, + "step": 454 + }, + { + "epoch": 0.03993516022063079, + "grad_norm": 0.32421875, + "learning_rate": 0.0013650000000000001, + "loss": 1.451, + "step": 455 + }, + { + "epoch": 0.04002292980353327, + "grad_norm": 0.41015625, + "learning_rate": 0.001368, + "loss": 1.466, + "step": 456 + }, + { + "epoch": 0.04011069938643576, + "grad_norm": 0.25390625, + "learning_rate": 0.001371, + "loss": 1.4471, + "step": 457 + }, + { + "epoch": 0.04019846896933824, + "grad_norm": 0.388671875, + "learning_rate": 0.001374, + "loss": 1.3836, + "step": 458 + }, + { + "epoch": 0.04028623855224073, + "grad_norm": 0.55859375, + "learning_rate": 0.0013770000000000002, + "loss": 1.4219, + "step": 459 + }, + { + "epoch": 0.04037400813514321, + "grad_norm": 1.0703125, + "learning_rate": 0.0013800000000000002, + "loss": 1.4534, + "step": 460 + }, + { + "epoch": 0.040461777718045704, + "grad_norm": 1.3828125, + "learning_rate": 0.0013830000000000001, + "loss": 1.4593, + "step": 461 + }, + { + "epoch": 0.04054954730094819, + "grad_norm": 0.3984375, + "learning_rate": 0.001386, + "loss": 1.4534, + "step": 462 + }, + { + "epoch": 0.04063731688385067, + "grad_norm": 1.625, + "learning_rate": 0.001389, + "loss": 1.4809, + "step": 463 + }, + { + "epoch": 0.04072508646675316, + "grad_norm": 0.4453125, + "learning_rate": 0.001392, + "loss": 1.452, + "step": 464 + }, + { + "epoch": 0.04081285604965564, + "grad_norm": 1.1171875, + "learning_rate": 0.0013950000000000002, + "loss": 1.4777, + "step": 465 + }, + { + "epoch": 0.04090062563255813, + "grad_norm": 0.5625, + "learning_rate": 0.0013980000000000002, + "loss": 1.4226, + "step": 466 + }, + { + "epoch": 0.04098839521546061, + "grad_norm": 0.55859375, + "learning_rate": 0.0014010000000000001, + "loss": 1.4141, + "step": 467 + }, + { + "epoch": 0.041076164798363096, + "grad_norm": 0.453125, + "learning_rate": 0.001404, + "loss": 1.4417, + "step": 468 + }, + { + "epoch": 0.04116393438126558, + "grad_norm": 0.373046875, + "learning_rate": 0.001407, + "loss": 1.4534, + "step": 469 + }, + { + "epoch": 0.041251703964168066, + "grad_norm": 0.333984375, + "learning_rate": 0.00141, + "loss": 1.4575, + "step": 470 + }, + { + "epoch": 0.04133947354707055, + "grad_norm": 0.33203125, + "learning_rate": 0.001413, + "loss": 1.4112, + "step": 471 + }, + { + "epoch": 0.041427243129973035, + "grad_norm": 0.365234375, + "learning_rate": 0.001416, + "loss": 1.4343, + "step": 472 + }, + { + "epoch": 0.041515012712875526, + "grad_norm": 0.267578125, + "learning_rate": 0.001419, + "loss": 1.4372, + "step": 473 + }, + { + "epoch": 0.04160278229577801, + "grad_norm": 0.330078125, + "learning_rate": 0.0014219999999999999, + "loss": 1.4323, + "step": 474 + }, + { + "epoch": 0.041690551878680496, + "grad_norm": 0.255859375, + "learning_rate": 0.001425, + "loss": 1.4271, + "step": 475 + }, + { + "epoch": 0.04177832146158298, + "grad_norm": 0.26171875, + "learning_rate": 0.001428, + "loss": 1.4238, + "step": 476 + }, + { + "epoch": 0.041866091044485465, + "grad_norm": 0.265625, + "learning_rate": 0.001431, + "loss": 1.4322, + "step": 477 + }, + { + "epoch": 0.04195386062738795, + "grad_norm": 0.2080078125, + "learning_rate": 0.001434, + "loss": 1.4554, + "step": 478 + }, + { + "epoch": 0.042041630210290434, + "grad_norm": 0.2421875, + "learning_rate": 0.001437, + "loss": 1.4249, + "step": 479 + }, + { + "epoch": 0.04212939979319292, + "grad_norm": 0.244140625, + "learning_rate": 0.0014399999999999999, + "loss": 1.4723, + "step": 480 + }, + { + "epoch": 0.042217169376095404, + "grad_norm": 0.2578125, + "learning_rate": 0.001443, + "loss": 1.4306, + "step": 481 + }, + { + "epoch": 0.04230493895899789, + "grad_norm": 0.26171875, + "learning_rate": 0.001446, + "loss": 1.454, + "step": 482 + }, + { + "epoch": 0.04239270854190037, + "grad_norm": 0.3984375, + "learning_rate": 0.001449, + "loss": 1.4104, + "step": 483 + }, + { + "epoch": 0.042480478124802865, + "grad_norm": 0.44921875, + "learning_rate": 0.001452, + "loss": 1.4182, + "step": 484 + }, + { + "epoch": 0.04256824770770535, + "grad_norm": 0.28515625, + "learning_rate": 0.001455, + "loss": 1.456, + "step": 485 + }, + { + "epoch": 0.042656017290607834, + "grad_norm": 0.2236328125, + "learning_rate": 0.001458, + "loss": 1.4492, + "step": 486 + }, + { + "epoch": 0.04274378687351032, + "grad_norm": 0.359375, + "learning_rate": 0.001461, + "loss": 1.4531, + "step": 487 + }, + { + "epoch": 0.0428315564564128, + "grad_norm": 0.4609375, + "learning_rate": 0.001464, + "loss": 1.4238, + "step": 488 + }, + { + "epoch": 0.04291932603931529, + "grad_norm": 0.48828125, + "learning_rate": 0.001467, + "loss": 1.3839, + "step": 489 + }, + { + "epoch": 0.04300709562221777, + "grad_norm": 0.421875, + "learning_rate": 0.00147, + "loss": 1.4123, + "step": 490 + }, + { + "epoch": 0.04309486520512026, + "grad_norm": 0.2431640625, + "learning_rate": 0.001473, + "loss": 1.499, + "step": 491 + }, + { + "epoch": 0.04318263478802274, + "grad_norm": 0.310546875, + "learning_rate": 0.001476, + "loss": 1.4202, + "step": 492 + }, + { + "epoch": 0.043270404370925226, + "grad_norm": 0.333984375, + "learning_rate": 0.001479, + "loss": 1.4173, + "step": 493 + }, + { + "epoch": 0.04335817395382771, + "grad_norm": 0.40234375, + "learning_rate": 0.001482, + "loss": 1.4403, + "step": 494 + }, + { + "epoch": 0.043445943536730196, + "grad_norm": 0.494140625, + "learning_rate": 0.001485, + "loss": 1.4078, + "step": 495 + }, + { + "epoch": 0.04353371311963269, + "grad_norm": 0.4921875, + "learning_rate": 0.001488, + "loss": 1.4551, + "step": 496 + }, + { + "epoch": 0.04362148270253517, + "grad_norm": 0.2021484375, + "learning_rate": 0.001491, + "loss": 1.4303, + "step": 497 + }, + { + "epoch": 0.04370925228543766, + "grad_norm": 0.404296875, + "learning_rate": 0.001494, + "loss": 1.3937, + "step": 498 + }, + { + "epoch": 0.04379702186834014, + "grad_norm": 0.6328125, + "learning_rate": 0.001497, + "loss": 1.464, + "step": 499 + }, + { + "epoch": 0.043884791451242626, + "grad_norm": 0.7890625, + "learning_rate": 0.0015, + "loss": 1.4162, + "step": 500 + }, + { + "epoch": 0.043884791451242626, + "eval_loss": 1.4264767169952393, + "eval_runtime": 436.4842, + "eval_samples_per_second": 33.77, + "eval_steps_per_second": 8.442, + "step": 500 + }, + { + "epoch": 0.04397256103414511, + "grad_norm": 0.77734375, + "learning_rate": 0.001503, + "loss": 1.4449, + "step": 501 + }, + { + "epoch": 0.044060330617047595, + "grad_norm": 0.58203125, + "learning_rate": 0.001506, + "loss": 1.4514, + "step": 502 + }, + { + "epoch": 0.04414810019995008, + "grad_norm": 0.248046875, + "learning_rate": 0.0015090000000000001, + "loss": 1.394, + "step": 503 + }, + { + "epoch": 0.044235869782852565, + "grad_norm": 0.498046875, + "learning_rate": 0.001512, + "loss": 1.4512, + "step": 504 + }, + { + "epoch": 0.04432363936575505, + "grad_norm": 0.39453125, + "learning_rate": 0.001515, + "loss": 1.4325, + "step": 505 + }, + { + "epoch": 0.044411408948657534, + "grad_norm": 0.35546875, + "learning_rate": 0.001518, + "loss": 1.4595, + "step": 506 + }, + { + "epoch": 0.044499178531560026, + "grad_norm": 0.439453125, + "learning_rate": 0.001521, + "loss": 1.4304, + "step": 507 + }, + { + "epoch": 0.04458694811446251, + "grad_norm": 0.310546875, + "learning_rate": 0.001524, + "loss": 1.4345, + "step": 508 + }, + { + "epoch": 0.044674717697364995, + "grad_norm": 0.283203125, + "learning_rate": 0.0015270000000000001, + "loss": 1.4321, + "step": 509 + }, + { + "epoch": 0.04476248728026748, + "grad_norm": 0.44140625, + "learning_rate": 0.0015300000000000001, + "loss": 1.4396, + "step": 510 + }, + { + "epoch": 0.044850256863169964, + "grad_norm": 0.41796875, + "learning_rate": 0.001533, + "loss": 1.4269, + "step": 511 + }, + { + "epoch": 0.04493802644607245, + "grad_norm": 0.40625, + "learning_rate": 0.001536, + "loss": 1.424, + "step": 512 + }, + { + "epoch": 0.04502579602897493, + "grad_norm": 0.4296875, + "learning_rate": 0.001539, + "loss": 1.4528, + "step": 513 + }, + { + "epoch": 0.04511356561187742, + "grad_norm": 0.275390625, + "learning_rate": 0.001542, + "loss": 1.4619, + "step": 514 + }, + { + "epoch": 0.0452013351947799, + "grad_norm": 0.31640625, + "learning_rate": 0.0015450000000000001, + "loss": 1.3829, + "step": 515 + }, + { + "epoch": 0.04528910477768239, + "grad_norm": 0.291015625, + "learning_rate": 0.0015480000000000001, + "loss": 1.3826, + "step": 516 + }, + { + "epoch": 0.04537687436058487, + "grad_norm": 0.294921875, + "learning_rate": 0.001551, + "loss": 1.4539, + "step": 517 + }, + { + "epoch": 0.04546464394348736, + "grad_norm": 0.322265625, + "learning_rate": 0.001554, + "loss": 1.4542, + "step": 518 + }, + { + "epoch": 0.04555241352638985, + "grad_norm": 0.298828125, + "learning_rate": 0.001557, + "loss": 1.3974, + "step": 519 + }, + { + "epoch": 0.04564018310929233, + "grad_norm": 0.36328125, + "learning_rate": 0.0015600000000000002, + "loss": 1.3831, + "step": 520 + }, + { + "epoch": 0.04572795269219482, + "grad_norm": 0.361328125, + "learning_rate": 0.0015630000000000002, + "loss": 1.4389, + "step": 521 + }, + { + "epoch": 0.0458157222750973, + "grad_norm": 0.31640625, + "learning_rate": 0.0015660000000000001, + "loss": 1.4368, + "step": 522 + }, + { + "epoch": 0.04590349185799979, + "grad_norm": 0.412109375, + "learning_rate": 0.001569, + "loss": 1.4652, + "step": 523 + }, + { + "epoch": 0.04599126144090227, + "grad_norm": 0.43359375, + "learning_rate": 0.001572, + "loss": 1.4344, + "step": 524 + }, + { + "epoch": 0.046079031023804756, + "grad_norm": 0.314453125, + "learning_rate": 0.001575, + "loss": 1.413, + "step": 525 + }, + { + "epoch": 0.04616680060670724, + "grad_norm": 0.283203125, + "learning_rate": 0.0015780000000000002, + "loss": 1.4295, + "step": 526 + }, + { + "epoch": 0.046254570189609726, + "grad_norm": 0.50390625, + "learning_rate": 0.0015810000000000002, + "loss": 1.4291, + "step": 527 + }, + { + "epoch": 0.04634233977251221, + "grad_norm": 0.67578125, + "learning_rate": 0.0015840000000000001, + "loss": 1.4636, + "step": 528 + }, + { + "epoch": 0.046430109355414695, + "grad_norm": 0.65625, + "learning_rate": 0.001587, + "loss": 1.4616, + "step": 529 + }, + { + "epoch": 0.04651787893831718, + "grad_norm": 0.5859375, + "learning_rate": 0.00159, + "loss": 1.4599, + "step": 530 + }, + { + "epoch": 0.04660564852121967, + "grad_norm": 0.322265625, + "learning_rate": 0.001593, + "loss": 1.4816, + "step": 531 + }, + { + "epoch": 0.046693418104122156, + "grad_norm": 0.271484375, + "learning_rate": 0.0015960000000000002, + "loss": 1.4006, + "step": 532 + }, + { + "epoch": 0.04678118768702464, + "grad_norm": 0.478515625, + "learning_rate": 0.0015990000000000002, + "loss": 1.4182, + "step": 533 + }, + { + "epoch": 0.046868957269927125, + "grad_norm": 0.345703125, + "learning_rate": 0.0016020000000000001, + "loss": 1.4418, + "step": 534 + }, + { + "epoch": 0.04695672685282961, + "grad_norm": 0.197265625, + "learning_rate": 0.001605, + "loss": 1.3954, + "step": 535 + }, + { + "epoch": 0.047044496435732094, + "grad_norm": 0.27734375, + "learning_rate": 0.001608, + "loss": 1.4086, + "step": 536 + }, + { + "epoch": 0.04713226601863458, + "grad_norm": 0.2392578125, + "learning_rate": 0.0016110000000000002, + "loss": 1.4538, + "step": 537 + }, + { + "epoch": 0.047220035601537064, + "grad_norm": 0.2109375, + "learning_rate": 0.0016140000000000002, + "loss": 1.4082, + "step": 538 + }, + { + "epoch": 0.04730780518443955, + "grad_norm": 0.25, + "learning_rate": 0.0016170000000000002, + "loss": 1.4373, + "step": 539 + }, + { + "epoch": 0.04739557476734203, + "grad_norm": 0.373046875, + "learning_rate": 0.0016200000000000001, + "loss": 1.4836, + "step": 540 + }, + { + "epoch": 0.04748334435024452, + "grad_norm": 0.384765625, + "learning_rate": 0.001623, + "loss": 1.4136, + "step": 541 + }, + { + "epoch": 0.04757111393314701, + "grad_norm": 0.1923828125, + "learning_rate": 0.001626, + "loss": 1.4191, + "step": 542 + }, + { + "epoch": 0.047658883516049494, + "grad_norm": 0.32421875, + "learning_rate": 0.0016290000000000002, + "loss": 1.4583, + "step": 543 + }, + { + "epoch": 0.04774665309895198, + "grad_norm": 0.302734375, + "learning_rate": 0.0016320000000000002, + "loss": 1.4471, + "step": 544 + }, + { + "epoch": 0.04783442268185446, + "grad_norm": 0.302734375, + "learning_rate": 0.0016350000000000002, + "loss": 1.5006, + "step": 545 + }, + { + "epoch": 0.04792219226475695, + "grad_norm": 0.2158203125, + "learning_rate": 0.0016380000000000001, + "loss": 1.4461, + "step": 546 + }, + { + "epoch": 0.04800996184765943, + "grad_norm": 0.28515625, + "learning_rate": 0.001641, + "loss": 1.4521, + "step": 547 + }, + { + "epoch": 0.04809773143056192, + "grad_norm": 0.38671875, + "learning_rate": 0.001644, + "loss": 1.4113, + "step": 548 + }, + { + "epoch": 0.0481855010134644, + "grad_norm": 0.53515625, + "learning_rate": 0.0016470000000000002, + "loss": 1.4362, + "step": 549 + }, + { + "epoch": 0.048273270596366886, + "grad_norm": 0.76953125, + "learning_rate": 0.0016500000000000002, + "loss": 1.3773, + "step": 550 + }, + { + "epoch": 0.04836104017926937, + "grad_norm": 1.1640625, + "learning_rate": 0.0016530000000000002, + "loss": 1.4137, + "step": 551 + }, + { + "epoch": 0.048448809762171856, + "grad_norm": 1.0078125, + "learning_rate": 0.0016560000000000001, + "loss": 1.3973, + "step": 552 + }, + { + "epoch": 0.04853657934507434, + "grad_norm": 0.66796875, + "learning_rate": 0.001659, + "loss": 1.4353, + "step": 553 + }, + { + "epoch": 0.04862434892797683, + "grad_norm": 0.484375, + "learning_rate": 0.0016620000000000003, + "loss": 1.3787, + "step": 554 + }, + { + "epoch": 0.04871211851087932, + "grad_norm": 0.474609375, + "learning_rate": 0.0016650000000000002, + "loss": 1.4034, + "step": 555 + }, + { + "epoch": 0.0487998880937818, + "grad_norm": 0.32421875, + "learning_rate": 0.0016680000000000002, + "loss": 1.4361, + "step": 556 + }, + { + "epoch": 0.048887657676684286, + "grad_norm": 0.38671875, + "learning_rate": 0.0016710000000000002, + "loss": 1.4113, + "step": 557 + }, + { + "epoch": 0.04897542725958677, + "grad_norm": 0.33984375, + "learning_rate": 0.0016740000000000001, + "loss": 1.4935, + "step": 558 + }, + { + "epoch": 0.049063196842489255, + "grad_norm": 0.34375, + "learning_rate": 0.001677, + "loss": 1.4107, + "step": 559 + }, + { + "epoch": 0.04915096642539174, + "grad_norm": 0.376953125, + "learning_rate": 0.0016800000000000003, + "loss": 1.4258, + "step": 560 + }, + { + "epoch": 0.049238736008294225, + "grad_norm": 0.1943359375, + "learning_rate": 0.0016830000000000003, + "loss": 1.4335, + "step": 561 + }, + { + "epoch": 0.04932650559119671, + "grad_norm": 0.337890625, + "learning_rate": 0.0016860000000000002, + "loss": 1.432, + "step": 562 + }, + { + "epoch": 0.049414275174099194, + "grad_norm": 0.302734375, + "learning_rate": 0.001689, + "loss": 1.4373, + "step": 563 + }, + { + "epoch": 0.04950204475700168, + "grad_norm": 0.251953125, + "learning_rate": 0.001692, + "loss": 1.3948, + "step": 564 + }, + { + "epoch": 0.04958981433990416, + "grad_norm": 0.275390625, + "learning_rate": 0.001695, + "loss": 1.4371, + "step": 565 + }, + { + "epoch": 0.049677583922806655, + "grad_norm": 0.28515625, + "learning_rate": 0.0016979999999999999, + "loss": 1.3975, + "step": 566 + }, + { + "epoch": 0.04976535350570914, + "grad_norm": 0.21484375, + "learning_rate": 0.0017009999999999998, + "loss": 1.4313, + "step": 567 + }, + { + "epoch": 0.049853123088611624, + "grad_norm": 0.2451171875, + "learning_rate": 0.0017039999999999998, + "loss": 1.4414, + "step": 568 + }, + { + "epoch": 0.04994089267151411, + "grad_norm": 0.2177734375, + "learning_rate": 0.001707, + "loss": 1.4192, + "step": 569 + }, + { + "epoch": 0.050028662254416593, + "grad_norm": 0.318359375, + "learning_rate": 0.00171, + "loss": 1.425, + "step": 570 + }, + { + "epoch": 0.05011643183731908, + "grad_norm": 0.232421875, + "learning_rate": 0.001713, + "loss": 1.421, + "step": 571 + }, + { + "epoch": 0.05020420142022156, + "grad_norm": 0.2490234375, + "learning_rate": 0.0017159999999999999, + "loss": 1.4101, + "step": 572 + }, + { + "epoch": 0.05029197100312405, + "grad_norm": 0.25390625, + "learning_rate": 0.0017189999999999998, + "loss": 1.4414, + "step": 573 + }, + { + "epoch": 0.05037974058602653, + "grad_norm": 0.337890625, + "learning_rate": 0.001722, + "loss": 1.4248, + "step": 574 + }, + { + "epoch": 0.05046751016892902, + "grad_norm": 0.28125, + "learning_rate": 0.001725, + "loss": 1.4058, + "step": 575 + }, + { + "epoch": 0.0505552797518315, + "grad_norm": 0.2275390625, + "learning_rate": 0.001728, + "loss": 1.4156, + "step": 576 + }, + { + "epoch": 0.05064304933473399, + "grad_norm": 0.2392578125, + "learning_rate": 0.001731, + "loss": 1.4011, + "step": 577 + }, + { + "epoch": 0.05073081891763648, + "grad_norm": 0.2353515625, + "learning_rate": 0.0017339999999999999, + "loss": 1.4422, + "step": 578 + }, + { + "epoch": 0.05081858850053896, + "grad_norm": 0.28515625, + "learning_rate": 0.0017369999999999998, + "loss": 1.4312, + "step": 579 + }, + { + "epoch": 0.05090635808344145, + "grad_norm": 0.29296875, + "learning_rate": 0.00174, + "loss": 1.4641, + "step": 580 + }, + { + "epoch": 0.05099412766634393, + "grad_norm": 0.248046875, + "learning_rate": 0.001743, + "loss": 1.4104, + "step": 581 + }, + { + "epoch": 0.051081897249246416, + "grad_norm": 0.232421875, + "learning_rate": 0.001746, + "loss": 1.3759, + "step": 582 + }, + { + "epoch": 0.0511696668321489, + "grad_norm": 0.232421875, + "learning_rate": 0.001749, + "loss": 1.4461, + "step": 583 + }, + { + "epoch": 0.051257436415051386, + "grad_norm": 0.2275390625, + "learning_rate": 0.0017519999999999999, + "loss": 1.4052, + "step": 584 + }, + { + "epoch": 0.05134520599795387, + "grad_norm": 0.34375, + "learning_rate": 0.0017549999999999998, + "loss": 1.4361, + "step": 585 + }, + { + "epoch": 0.051432975580856355, + "grad_norm": 0.5078125, + "learning_rate": 0.001758, + "loss": 1.4081, + "step": 586 + }, + { + "epoch": 0.05152074516375884, + "grad_norm": 0.7890625, + "learning_rate": 0.001761, + "loss": 1.4229, + "step": 587 + }, + { + "epoch": 0.051608514746661324, + "grad_norm": 1.4921875, + "learning_rate": 0.001764, + "loss": 1.4724, + "step": 588 + }, + { + "epoch": 0.051696284329563816, + "grad_norm": 0.6484375, + "learning_rate": 0.001767, + "loss": 1.4288, + "step": 589 + }, + { + "epoch": 0.0517840539124663, + "grad_norm": 0.53515625, + "learning_rate": 0.0017699999999999999, + "loss": 1.5109, + "step": 590 + }, + { + "epoch": 0.051871823495368785, + "grad_norm": 0.953125, + "learning_rate": 0.001773, + "loss": 1.4384, + "step": 591 + }, + { + "epoch": 0.05195959307827127, + "grad_norm": 0.84375, + "learning_rate": 0.001776, + "loss": 1.3817, + "step": 592 + }, + { + "epoch": 0.052047362661173754, + "grad_norm": 0.4765625, + "learning_rate": 0.001779, + "loss": 1.4257, + "step": 593 + }, + { + "epoch": 0.05213513224407624, + "grad_norm": 0.6171875, + "learning_rate": 0.001782, + "loss": 1.4052, + "step": 594 + }, + { + "epoch": 0.052222901826978724, + "grad_norm": 0.333984375, + "learning_rate": 0.001785, + "loss": 1.4482, + "step": 595 + }, + { + "epoch": 0.05231067140988121, + "grad_norm": 0.51171875, + "learning_rate": 0.0017879999999999999, + "loss": 1.4112, + "step": 596 + }, + { + "epoch": 0.05239844099278369, + "grad_norm": 0.291015625, + "learning_rate": 0.001791, + "loss": 1.4303, + "step": 597 + }, + { + "epoch": 0.05248621057568618, + "grad_norm": 0.330078125, + "learning_rate": 0.001794, + "loss": 1.4169, + "step": 598 + }, + { + "epoch": 0.05257398015858866, + "grad_norm": 0.259765625, + "learning_rate": 0.001797, + "loss": 1.408, + "step": 599 + }, + { + "epoch": 0.05266174974149115, + "grad_norm": 0.2314453125, + "learning_rate": 0.0018, + "loss": 1.4476, + "step": 600 + }, + { + "epoch": 0.05274951932439364, + "grad_norm": 0.255859375, + "learning_rate": 0.001803, + "loss": 1.4048, + "step": 601 + }, + { + "epoch": 0.05283728890729612, + "grad_norm": 0.2158203125, + "learning_rate": 0.0018059999999999999, + "loss": 1.3852, + "step": 602 + }, + { + "epoch": 0.05292505849019861, + "grad_norm": 0.1923828125, + "learning_rate": 0.001809, + "loss": 1.4454, + "step": 603 + }, + { + "epoch": 0.05301282807310109, + "grad_norm": 0.1806640625, + "learning_rate": 0.001812, + "loss": 1.4336, + "step": 604 + }, + { + "epoch": 0.05310059765600358, + "grad_norm": 0.1962890625, + "learning_rate": 0.001815, + "loss": 1.4297, + "step": 605 + }, + { + "epoch": 0.05318836723890606, + "grad_norm": 0.212890625, + "learning_rate": 0.001818, + "loss": 1.4429, + "step": 606 + }, + { + "epoch": 0.05327613682180855, + "grad_norm": 0.181640625, + "learning_rate": 0.001821, + "loss": 1.4271, + "step": 607 + }, + { + "epoch": 0.05336390640471103, + "grad_norm": 0.5859375, + "learning_rate": 0.001824, + "loss": 1.4233, + "step": 608 + }, + { + "epoch": 0.053451675987613516, + "grad_norm": 0.1923828125, + "learning_rate": 0.001827, + "loss": 1.3934, + "step": 609 + }, + { + "epoch": 0.053539445570516, + "grad_norm": 0.16796875, + "learning_rate": 0.00183, + "loss": 1.4198, + "step": 610 + }, + { + "epoch": 0.053627215153418485, + "grad_norm": 0.2314453125, + "learning_rate": 0.001833, + "loss": 1.3836, + "step": 611 + }, + { + "epoch": 0.05371498473632098, + "grad_norm": 0.205078125, + "learning_rate": 0.001836, + "loss": 1.4215, + "step": 612 + }, + { + "epoch": 0.05380275431922346, + "grad_norm": 0.265625, + "learning_rate": 0.001839, + "loss": 1.4335, + "step": 613 + }, + { + "epoch": 0.053890523902125946, + "grad_norm": 0.283203125, + "learning_rate": 0.001842, + "loss": 1.4146, + "step": 614 + }, + { + "epoch": 0.05397829348502843, + "grad_norm": 0.271484375, + "learning_rate": 0.001845, + "loss": 1.3886, + "step": 615 + }, + { + "epoch": 0.054066063067930915, + "grad_norm": 0.2265625, + "learning_rate": 0.001848, + "loss": 1.4687, + "step": 616 + }, + { + "epoch": 0.0541538326508334, + "grad_norm": 0.2255859375, + "learning_rate": 0.001851, + "loss": 1.4417, + "step": 617 + }, + { + "epoch": 0.054241602233735885, + "grad_norm": 0.279296875, + "learning_rate": 0.001854, + "loss": 1.4007, + "step": 618 + }, + { + "epoch": 0.05432937181663837, + "grad_norm": 0.326171875, + "learning_rate": 0.001857, + "loss": 1.3945, + "step": 619 + }, + { + "epoch": 0.054417141399540854, + "grad_norm": 0.412109375, + "learning_rate": 0.00186, + "loss": 1.4588, + "step": 620 + }, + { + "epoch": 0.05450491098244334, + "grad_norm": 0.40234375, + "learning_rate": 0.001863, + "loss": 1.3761, + "step": 621 + }, + { + "epoch": 0.05459268056534582, + "grad_norm": 0.55859375, + "learning_rate": 0.001866, + "loss": 1.4146, + "step": 622 + }, + { + "epoch": 0.05468045014824831, + "grad_norm": 0.96875, + "learning_rate": 0.001869, + "loss": 1.4337, + "step": 623 + }, + { + "epoch": 0.0547682197311508, + "grad_norm": 1.296875, + "learning_rate": 0.001872, + "loss": 1.4874, + "step": 624 + }, + { + "epoch": 0.054855989314053284, + "grad_norm": 0.466796875, + "learning_rate": 0.001875, + "loss": 1.4406, + "step": 625 + }, + { + "epoch": 0.05494375889695577, + "grad_norm": 1.65625, + "learning_rate": 0.0018780000000000001, + "loss": 1.5081, + "step": 626 + }, + { + "epoch": 0.055031528479858254, + "grad_norm": 0.58984375, + "learning_rate": 0.001881, + "loss": 1.4169, + "step": 627 + }, + { + "epoch": 0.05511929806276074, + "grad_norm": 1.203125, + "learning_rate": 0.001884, + "loss": 1.4722, + "step": 628 + }, + { + "epoch": 0.05520706764566322, + "grad_norm": 0.72265625, + "learning_rate": 0.001887, + "loss": 1.4118, + "step": 629 + }, + { + "epoch": 0.05529483722856571, + "grad_norm": 1.1875, + "learning_rate": 0.00189, + "loss": 1.4665, + "step": 630 + }, + { + "epoch": 0.05538260681146819, + "grad_norm": 0.56640625, + "learning_rate": 0.0018930000000000002, + "loss": 1.4355, + "step": 631 + }, + { + "epoch": 0.05547037639437068, + "grad_norm": 0.61328125, + "learning_rate": 0.0018960000000000001, + "loss": 1.43, + "step": 632 + }, + { + "epoch": 0.05555814597727316, + "grad_norm": 0.412109375, + "learning_rate": 0.001899, + "loss": 1.3824, + "step": 633 + }, + { + "epoch": 0.055645915560175646, + "grad_norm": 0.33203125, + "learning_rate": 0.001902, + "loss": 1.4145, + "step": 634 + }, + { + "epoch": 0.05573368514307813, + "grad_norm": 0.3125, + "learning_rate": 0.001905, + "loss": 1.4662, + "step": 635 + }, + { + "epoch": 0.05582145472598062, + "grad_norm": 0.255859375, + "learning_rate": 0.001908, + "loss": 1.4029, + "step": 636 + }, + { + "epoch": 0.05590922430888311, + "grad_norm": 0.2431640625, + "learning_rate": 0.0019110000000000002, + "loss": 1.385, + "step": 637 + }, + { + "epoch": 0.05599699389178559, + "grad_norm": 0.251953125, + "learning_rate": 0.0019140000000000001, + "loss": 1.4255, + "step": 638 + }, + { + "epoch": 0.056084763474688076, + "grad_norm": 0.2109375, + "learning_rate": 0.001917, + "loss": 1.4397, + "step": 639 + }, + { + "epoch": 0.05617253305759056, + "grad_norm": 0.2041015625, + "learning_rate": 0.00192, + "loss": 1.4382, + "step": 640 + }, + { + "epoch": 0.056260302640493046, + "grad_norm": 0.2021484375, + "learning_rate": 0.001923, + "loss": 1.4125, + "step": 641 + }, + { + "epoch": 0.05634807222339553, + "grad_norm": 0.171875, + "learning_rate": 0.001926, + "loss": 1.4425, + "step": 642 + }, + { + "epoch": 0.056435841806298015, + "grad_norm": 0.220703125, + "learning_rate": 0.0019290000000000002, + "loss": 1.4217, + "step": 643 + }, + { + "epoch": 0.0565236113892005, + "grad_norm": 0.1728515625, + "learning_rate": 0.0019320000000000001, + "loss": 1.3992, + "step": 644 + }, + { + "epoch": 0.056611380972102984, + "grad_norm": 0.1982421875, + "learning_rate": 0.001935, + "loss": 1.3734, + "step": 645 + }, + { + "epoch": 0.05669915055500547, + "grad_norm": 0.1484375, + "learning_rate": 0.001938, + "loss": 1.4064, + "step": 646 + }, + { + "epoch": 0.05678692013790796, + "grad_norm": 0.19921875, + "learning_rate": 0.001941, + "loss": 1.4006, + "step": 647 + }, + { + "epoch": 0.056874689720810445, + "grad_norm": 0.2099609375, + "learning_rate": 0.0019440000000000002, + "loss": 1.3646, + "step": 648 + }, + { + "epoch": 0.05696245930371293, + "grad_norm": 0.2451171875, + "learning_rate": 0.0019470000000000002, + "loss": 1.4171, + "step": 649 + }, + { + "epoch": 0.057050228886615414, + "grad_norm": 0.2431640625, + "learning_rate": 0.0019500000000000001, + "loss": 1.4012, + "step": 650 + }, + { + "epoch": 0.0571379984695179, + "grad_norm": 0.3125, + "learning_rate": 0.001953, + "loss": 1.434, + "step": 651 + }, + { + "epoch": 0.057225768052420384, + "grad_norm": 0.1962890625, + "learning_rate": 0.0019560000000000003, + "loss": 1.4133, + "step": 652 + }, + { + "epoch": 0.05731353763532287, + "grad_norm": 0.224609375, + "learning_rate": 0.0019590000000000002, + "loss": 1.3874, + "step": 653 + }, + { + "epoch": 0.05740130721822535, + "grad_norm": 0.228515625, + "learning_rate": 0.001962, + "loss": 1.4022, + "step": 654 + }, + { + "epoch": 0.05748907680112784, + "grad_norm": 0.251953125, + "learning_rate": 0.001965, + "loss": 1.4111, + "step": 655 + }, + { + "epoch": 0.05757684638403032, + "grad_norm": 0.203125, + "learning_rate": 0.001968, + "loss": 1.454, + "step": 656 + }, + { + "epoch": 0.05766461596693281, + "grad_norm": 0.22265625, + "learning_rate": 0.001971, + "loss": 1.4611, + "step": 657 + }, + { + "epoch": 0.05775238554983529, + "grad_norm": 0.1630859375, + "learning_rate": 0.001974, + "loss": 1.4277, + "step": 658 + }, + { + "epoch": 0.05784015513273778, + "grad_norm": 0.1572265625, + "learning_rate": 0.001977, + "loss": 1.4443, + "step": 659 + }, + { + "epoch": 0.05792792471564027, + "grad_norm": 0.23828125, + "learning_rate": 0.00198, + "loss": 1.3763, + "step": 660 + }, + { + "epoch": 0.05801569429854275, + "grad_norm": 0.298828125, + "learning_rate": 0.001983, + "loss": 1.3979, + "step": 661 + }, + { + "epoch": 0.05810346388144524, + "grad_norm": 0.2890625, + "learning_rate": 0.0019860000000000004, + "loss": 1.4839, + "step": 662 + }, + { + "epoch": 0.05819123346434772, + "grad_norm": 0.201171875, + "learning_rate": 0.0019890000000000003, + "loss": 1.3999, + "step": 663 + }, + { + "epoch": 0.05827900304725021, + "grad_norm": 0.1796875, + "learning_rate": 0.0019920000000000003, + "loss": 1.3618, + "step": 664 + }, + { + "epoch": 0.05836677263015269, + "grad_norm": 0.1962890625, + "learning_rate": 0.0019950000000000002, + "loss": 1.4032, + "step": 665 + }, + { + "epoch": 0.058454542213055176, + "grad_norm": 0.267578125, + "learning_rate": 0.001998, + "loss": 1.4011, + "step": 666 + }, + { + "epoch": 0.05854231179595766, + "grad_norm": 0.2421875, + "learning_rate": 0.002001, + "loss": 1.4109, + "step": 667 + }, + { + "epoch": 0.058630081378860145, + "grad_norm": 0.2265625, + "learning_rate": 0.002004, + "loss": 1.4714, + "step": 668 + }, + { + "epoch": 0.05871785096176263, + "grad_norm": 0.2236328125, + "learning_rate": 0.002007, + "loss": 1.3933, + "step": 669 + }, + { + "epoch": 0.058805620544665115, + "grad_norm": 0.2099609375, + "learning_rate": 0.00201, + "loss": 1.3808, + "step": 670 + }, + { + "epoch": 0.058893390127567606, + "grad_norm": 0.2373046875, + "learning_rate": 0.002013, + "loss": 1.3896, + "step": 671 + }, + { + "epoch": 0.05898115971047009, + "grad_norm": 0.2080078125, + "learning_rate": 0.002016, + "loss": 1.391, + "step": 672 + }, + { + "epoch": 0.059068929293372575, + "grad_norm": 0.267578125, + "learning_rate": 0.002019, + "loss": 1.378, + "step": 673 + }, + { + "epoch": 0.05915669887627506, + "grad_norm": 0.408203125, + "learning_rate": 0.0020220000000000004, + "loss": 1.4274, + "step": 674 + }, + { + "epoch": 0.059244468459177545, + "grad_norm": 0.349609375, + "learning_rate": 0.0020250000000000003, + "loss": 1.4078, + "step": 675 + }, + { + "epoch": 0.05933223804208003, + "grad_norm": 0.328125, + "learning_rate": 0.0020280000000000003, + "loss": 1.4316, + "step": 676 + }, + { + "epoch": 0.059420007624982514, + "grad_norm": 0.29296875, + "learning_rate": 0.0020310000000000003, + "loss": 1.4221, + "step": 677 + }, + { + "epoch": 0.059507777207885, + "grad_norm": 0.361328125, + "learning_rate": 0.0020340000000000002, + "loss": 1.4176, + "step": 678 + }, + { + "epoch": 0.05959554679078748, + "grad_norm": 0.49609375, + "learning_rate": 0.002037, + "loss": 1.4378, + "step": 679 + }, + { + "epoch": 0.05968331637368997, + "grad_norm": 0.65234375, + "learning_rate": 0.00204, + "loss": 1.4158, + "step": 680 + }, + { + "epoch": 0.05977108595659245, + "grad_norm": 0.87890625, + "learning_rate": 0.002043, + "loss": 1.4449, + "step": 681 + }, + { + "epoch": 0.059858855539494944, + "grad_norm": 0.7890625, + "learning_rate": 0.002046, + "loss": 1.4289, + "step": 682 + }, + { + "epoch": 0.05994662512239743, + "grad_norm": 0.283203125, + "learning_rate": 0.002049, + "loss": 1.4242, + "step": 683 + }, + { + "epoch": 0.060034394705299914, + "grad_norm": 0.55078125, + "learning_rate": 0.002052, + "loss": 1.3802, + "step": 684 + }, + { + "epoch": 0.0601221642882024, + "grad_norm": 1.703125, + "learning_rate": 0.0020550000000000004, + "loss": 1.4551, + "step": 685 + }, + { + "epoch": 0.06020993387110488, + "grad_norm": 2.828125, + "learning_rate": 0.0020580000000000004, + "loss": 1.9919, + "step": 686 + }, + { + "epoch": 0.06029770345400737, + "grad_norm": 1.046875, + "learning_rate": 0.0020610000000000003, + "loss": 1.469, + "step": 687 + }, + { + "epoch": 0.06038547303690985, + "grad_norm": 0.734375, + "learning_rate": 0.002064, + "loss": 1.4125, + "step": 688 + }, + { + "epoch": 0.06047324261981234, + "grad_norm": 0.3125, + "learning_rate": 0.002067, + "loss": 1.4094, + "step": 689 + }, + { + "epoch": 0.06056101220271482, + "grad_norm": 0.58984375, + "learning_rate": 0.00207, + "loss": 1.3779, + "step": 690 + }, + { + "epoch": 0.060648781785617306, + "grad_norm": 0.6875, + "learning_rate": 0.0020729999999999998, + "loss": 1.4507, + "step": 691 + }, + { + "epoch": 0.06073655136851979, + "grad_norm": 0.48046875, + "learning_rate": 0.0020759999999999997, + "loss": 1.4563, + "step": 692 + }, + { + "epoch": 0.060824320951422275, + "grad_norm": 0.2734375, + "learning_rate": 0.0020789999999999997, + "loss": 1.4445, + "step": 693 + }, + { + "epoch": 0.06091209053432477, + "grad_norm": 0.427734375, + "learning_rate": 0.002082, + "loss": 1.432, + "step": 694 + }, + { + "epoch": 0.06099986011722725, + "grad_norm": 0.2890625, + "learning_rate": 0.002085, + "loss": 1.3819, + "step": 695 + }, + { + "epoch": 0.061087629700129736, + "grad_norm": 0.3984375, + "learning_rate": 0.002088, + "loss": 1.4557, + "step": 696 + }, + { + "epoch": 0.06117539928303222, + "grad_norm": 0.265625, + "learning_rate": 0.002091, + "loss": 1.442, + "step": 697 + }, + { + "epoch": 0.061263168865934706, + "grad_norm": 0.26953125, + "learning_rate": 0.002094, + "loss": 1.4193, + "step": 698 + }, + { + "epoch": 0.06135093844883719, + "grad_norm": 0.162109375, + "learning_rate": 0.002097, + "loss": 1.4591, + "step": 699 + }, + { + "epoch": 0.061438708031739675, + "grad_norm": 0.22265625, + "learning_rate": 0.0021, + "loss": 1.4352, + "step": 700 + }, + { + "epoch": 0.06152647761464216, + "grad_norm": 0.201171875, + "learning_rate": 0.002103, + "loss": 1.4033, + "step": 701 + }, + { + "epoch": 0.061614247197544644, + "grad_norm": 0.2109375, + "learning_rate": 0.002106, + "loss": 1.4272, + "step": 702 + }, + { + "epoch": 0.06170201678044713, + "grad_norm": 0.1826171875, + "learning_rate": 0.0021089999999999998, + "loss": 1.39, + "step": 703 + }, + { + "epoch": 0.061789786363349614, + "grad_norm": 0.169921875, + "learning_rate": 0.0021119999999999997, + "loss": 1.3744, + "step": 704 + }, + { + "epoch": 0.0618775559462521, + "grad_norm": 0.19921875, + "learning_rate": 0.002115, + "loss": 1.4513, + "step": 705 + }, + { + "epoch": 0.06196532552915459, + "grad_norm": 0.21484375, + "learning_rate": 0.002118, + "loss": 1.428, + "step": 706 + }, + { + "epoch": 0.062053095112057075, + "grad_norm": 0.2236328125, + "learning_rate": 0.002121, + "loss": 1.4149, + "step": 707 + }, + { + "epoch": 0.06214086469495956, + "grad_norm": 0.24609375, + "learning_rate": 0.002124, + "loss": 1.4335, + "step": 708 + }, + { + "epoch": 0.062228634277862044, + "grad_norm": 0.1845703125, + "learning_rate": 0.002127, + "loss": 1.4268, + "step": 709 + }, + { + "epoch": 0.06231640386076453, + "grad_norm": 0.2294921875, + "learning_rate": 0.00213, + "loss": 1.4299, + "step": 710 + }, + { + "epoch": 0.06240417344366701, + "grad_norm": 0.21484375, + "learning_rate": 0.002133, + "loss": 1.428, + "step": 711 + }, + { + "epoch": 0.0624919430265695, + "grad_norm": 0.271484375, + "learning_rate": 0.002136, + "loss": 1.377, + "step": 712 + }, + { + "epoch": 0.06257971260947198, + "grad_norm": 0.275390625, + "learning_rate": 0.002139, + "loss": 1.3745, + "step": 713 + }, + { + "epoch": 0.06266748219237447, + "grad_norm": 0.205078125, + "learning_rate": 0.002142, + "loss": 1.4129, + "step": 714 + }, + { + "epoch": 0.06275525177527695, + "grad_norm": 0.1923828125, + "learning_rate": 0.0021449999999999998, + "loss": 1.4237, + "step": 715 + }, + { + "epoch": 0.06284302135817944, + "grad_norm": 0.189453125, + "learning_rate": 0.002148, + "loss": 1.4042, + "step": 716 + }, + { + "epoch": 0.06293079094108192, + "grad_norm": 0.1826171875, + "learning_rate": 0.002151, + "loss": 1.401, + "step": 717 + }, + { + "epoch": 0.06301856052398441, + "grad_norm": 0.2275390625, + "learning_rate": 0.002154, + "loss": 1.3501, + "step": 718 + }, + { + "epoch": 0.06310633010688689, + "grad_norm": 0.29296875, + "learning_rate": 0.002157, + "loss": 1.4434, + "step": 719 + }, + { + "epoch": 0.06319409968978938, + "grad_norm": 0.26171875, + "learning_rate": 0.00216, + "loss": 1.4139, + "step": 720 + }, + { + "epoch": 0.06328186927269186, + "grad_norm": 0.1962890625, + "learning_rate": 0.002163, + "loss": 1.3906, + "step": 721 + }, + { + "epoch": 0.06336963885559435, + "grad_norm": 0.158203125, + "learning_rate": 0.002166, + "loss": 1.3987, + "step": 722 + }, + { + "epoch": 0.06345740843849684, + "grad_norm": 0.1875, + "learning_rate": 0.002169, + "loss": 1.4363, + "step": 723 + }, + { + "epoch": 0.06354517802139932, + "grad_norm": 0.19140625, + "learning_rate": 0.002172, + "loss": 1.3764, + "step": 724 + }, + { + "epoch": 0.06363294760430181, + "grad_norm": 0.234375, + "learning_rate": 0.002175, + "loss": 1.4358, + "step": 725 + }, + { + "epoch": 0.06372071718720429, + "grad_norm": 0.2412109375, + "learning_rate": 0.002178, + "loss": 1.3627, + "step": 726 + }, + { + "epoch": 0.06380848677010678, + "grad_norm": 0.1904296875, + "learning_rate": 0.0021809999999999998, + "loss": 1.4233, + "step": 727 + }, + { + "epoch": 0.06389625635300926, + "grad_norm": 0.17578125, + "learning_rate": 0.002184, + "loss": 1.3925, + "step": 728 + }, + { + "epoch": 0.06398402593591175, + "grad_norm": 0.21484375, + "learning_rate": 0.002187, + "loss": 1.4323, + "step": 729 + }, + { + "epoch": 0.06407179551881423, + "grad_norm": 0.2333984375, + "learning_rate": 0.00219, + "loss": 1.4255, + "step": 730 + }, + { + "epoch": 0.06415956510171672, + "grad_norm": 0.2001953125, + "learning_rate": 0.002193, + "loss": 1.4131, + "step": 731 + }, + { + "epoch": 0.0642473346846192, + "grad_norm": 0.1875, + "learning_rate": 0.002196, + "loss": 1.415, + "step": 732 + }, + { + "epoch": 0.06433510426752169, + "grad_norm": 0.248046875, + "learning_rate": 0.002199, + "loss": 1.4095, + "step": 733 + }, + { + "epoch": 0.06442287385042417, + "grad_norm": 0.1982421875, + "learning_rate": 0.002202, + "loss": 1.4265, + "step": 734 + }, + { + "epoch": 0.06451064343332666, + "grad_norm": 0.2021484375, + "learning_rate": 0.002205, + "loss": 1.3979, + "step": 735 + }, + { + "epoch": 0.06459841301622915, + "grad_norm": 0.259765625, + "learning_rate": 0.002208, + "loss": 1.3926, + "step": 736 + }, + { + "epoch": 0.06468618259913163, + "grad_norm": 0.265625, + "learning_rate": 0.002211, + "loss": 1.3872, + "step": 737 + }, + { + "epoch": 0.06477395218203412, + "grad_norm": 0.46484375, + "learning_rate": 0.002214, + "loss": 1.4486, + "step": 738 + }, + { + "epoch": 0.0648617217649366, + "grad_norm": 0.8203125, + "learning_rate": 0.0022170000000000002, + "loss": 1.3547, + "step": 739 + }, + { + "epoch": 0.06494949134783909, + "grad_norm": 1.1953125, + "learning_rate": 0.00222, + "loss": 1.4189, + "step": 740 + }, + { + "epoch": 0.06503726093074157, + "grad_norm": 0.267578125, + "learning_rate": 0.002223, + "loss": 1.4166, + "step": 741 + }, + { + "epoch": 0.06512503051364406, + "grad_norm": 0.74609375, + "learning_rate": 0.002226, + "loss": 1.3736, + "step": 742 + }, + { + "epoch": 0.06521280009654654, + "grad_norm": 0.6328125, + "learning_rate": 0.002229, + "loss": 1.4195, + "step": 743 + }, + { + "epoch": 0.06530056967944903, + "grad_norm": 0.384765625, + "learning_rate": 0.002232, + "loss": 1.4215, + "step": 744 + }, + { + "epoch": 0.0653883392623515, + "grad_norm": 0.75, + "learning_rate": 0.002235, + "loss": 1.4432, + "step": 745 + }, + { + "epoch": 0.065476108845254, + "grad_norm": 0.29296875, + "learning_rate": 0.002238, + "loss": 1.372, + "step": 746 + }, + { + "epoch": 0.06556387842815649, + "grad_norm": 0.412109375, + "learning_rate": 0.002241, + "loss": 1.4103, + "step": 747 + }, + { + "epoch": 0.06565164801105897, + "grad_norm": 0.3046875, + "learning_rate": 0.002244, + "loss": 1.4322, + "step": 748 + }, + { + "epoch": 0.06573941759396146, + "grad_norm": 0.287109375, + "learning_rate": 0.002247, + "loss": 1.3891, + "step": 749 + }, + { + "epoch": 0.06582718717686394, + "grad_norm": 0.251953125, + "learning_rate": 0.0022500000000000003, + "loss": 1.4126, + "step": 750 + }, + { + "epoch": 0.06591495675976643, + "grad_norm": 0.1787109375, + "learning_rate": 0.0022530000000000002, + "loss": 1.3994, + "step": 751 + }, + { + "epoch": 0.0660027263426689, + "grad_norm": 0.16796875, + "learning_rate": 0.002256, + "loss": 1.3941, + "step": 752 + }, + { + "epoch": 0.0660904959255714, + "grad_norm": 0.177734375, + "learning_rate": 0.002259, + "loss": 1.3345, + "step": 753 + }, + { + "epoch": 0.06617826550847387, + "grad_norm": 0.2041015625, + "learning_rate": 0.002262, + "loss": 1.4136, + "step": 754 + }, + { + "epoch": 0.06626603509137637, + "grad_norm": 0.1767578125, + "learning_rate": 0.002265, + "loss": 1.3705, + "step": 755 + }, + { + "epoch": 0.06635380467427884, + "grad_norm": 0.255859375, + "learning_rate": 0.002268, + "loss": 1.4587, + "step": 756 + }, + { + "epoch": 0.06644157425718134, + "grad_norm": 0.1787109375, + "learning_rate": 0.002271, + "loss": 1.432, + "step": 757 + }, + { + "epoch": 0.06652934384008383, + "grad_norm": 0.1689453125, + "learning_rate": 0.002274, + "loss": 1.3662, + "step": 758 + }, + { + "epoch": 0.0666171134229863, + "grad_norm": 0.2109375, + "learning_rate": 0.002277, + "loss": 1.387, + "step": 759 + }, + { + "epoch": 0.0667048830058888, + "grad_norm": 0.1513671875, + "learning_rate": 0.00228, + "loss": 1.3745, + "step": 760 + }, + { + "epoch": 0.06679265258879127, + "grad_norm": 0.2197265625, + "learning_rate": 0.002283, + "loss": 1.4119, + "step": 761 + }, + { + "epoch": 0.06688042217169377, + "grad_norm": 0.1826171875, + "learning_rate": 0.0022860000000000003, + "loss": 1.3951, + "step": 762 + }, + { + "epoch": 0.06696819175459624, + "grad_norm": 0.146484375, + "learning_rate": 0.0022890000000000002, + "loss": 1.4563, + "step": 763 + }, + { + "epoch": 0.06705596133749873, + "grad_norm": 0.1572265625, + "learning_rate": 0.002292, + "loss": 1.3564, + "step": 764 + }, + { + "epoch": 0.06714373092040121, + "grad_norm": 0.1396484375, + "learning_rate": 0.002295, + "loss": 1.4115, + "step": 765 + }, + { + "epoch": 0.0672315005033037, + "grad_norm": 0.158203125, + "learning_rate": 0.002298, + "loss": 1.4028, + "step": 766 + }, + { + "epoch": 0.06731927008620618, + "grad_norm": 0.177734375, + "learning_rate": 0.002301, + "loss": 1.3478, + "step": 767 + }, + { + "epoch": 0.06740703966910867, + "grad_norm": 0.212890625, + "learning_rate": 0.002304, + "loss": 1.3808, + "step": 768 + }, + { + "epoch": 0.06749480925201115, + "grad_norm": 0.162109375, + "learning_rate": 0.002307, + "loss": 1.3547, + "step": 769 + }, + { + "epoch": 0.06758257883491364, + "grad_norm": 0.1826171875, + "learning_rate": 0.00231, + "loss": 1.4304, + "step": 770 + }, + { + "epoch": 0.06767034841781613, + "grad_norm": 0.1904296875, + "learning_rate": 0.002313, + "loss": 1.4404, + "step": 771 + }, + { + "epoch": 0.06775811800071861, + "grad_norm": 0.1630859375, + "learning_rate": 0.002316, + "loss": 1.4134, + "step": 772 + }, + { + "epoch": 0.0678458875836211, + "grad_norm": 0.208984375, + "learning_rate": 0.0023190000000000003, + "loss": 1.4424, + "step": 773 + }, + { + "epoch": 0.06793365716652358, + "grad_norm": 0.25, + "learning_rate": 0.0023220000000000003, + "loss": 1.4063, + "step": 774 + }, + { + "epoch": 0.06802142674942607, + "grad_norm": 0.31640625, + "learning_rate": 0.0023250000000000002, + "loss": 1.444, + "step": 775 + }, + { + "epoch": 0.06810919633232855, + "grad_norm": 0.359375, + "learning_rate": 0.002328, + "loss": 1.4046, + "step": 776 + }, + { + "epoch": 0.06819696591523104, + "grad_norm": 0.28125, + "learning_rate": 0.002331, + "loss": 1.3615, + "step": 777 + }, + { + "epoch": 0.06828473549813352, + "grad_norm": 0.1787109375, + "learning_rate": 0.002334, + "loss": 1.3941, + "step": 778 + }, + { + "epoch": 0.06837250508103601, + "grad_norm": 0.267578125, + "learning_rate": 0.002337, + "loss": 1.4284, + "step": 779 + }, + { + "epoch": 0.06846027466393849, + "grad_norm": 0.2197265625, + "learning_rate": 0.00234, + "loss": 1.4889, + "step": 780 + }, + { + "epoch": 0.06854804424684098, + "grad_norm": 0.2412109375, + "learning_rate": 0.002343, + "loss": 1.4139, + "step": 781 + }, + { + "epoch": 0.06863581382974347, + "grad_norm": 0.201171875, + "learning_rate": 0.002346, + "loss": 1.3882, + "step": 782 + }, + { + "epoch": 0.06872358341264595, + "grad_norm": 0.1669921875, + "learning_rate": 0.002349, + "loss": 1.3539, + "step": 783 + }, + { + "epoch": 0.06881135299554844, + "grad_norm": 0.2392578125, + "learning_rate": 0.002352, + "loss": 1.3903, + "step": 784 + }, + { + "epoch": 0.06889912257845092, + "grad_norm": 0.294921875, + "learning_rate": 0.0023550000000000003, + "loss": 1.4078, + "step": 785 + }, + { + "epoch": 0.06898689216135341, + "grad_norm": 0.28515625, + "learning_rate": 0.0023580000000000003, + "loss": 1.4124, + "step": 786 + }, + { + "epoch": 0.06907466174425589, + "grad_norm": 0.2275390625, + "learning_rate": 0.0023610000000000003, + "loss": 1.404, + "step": 787 + }, + { + "epoch": 0.06916243132715838, + "grad_norm": 0.1767578125, + "learning_rate": 0.002364, + "loss": 1.4122, + "step": 788 + }, + { + "epoch": 0.06925020091006086, + "grad_norm": 0.2099609375, + "learning_rate": 0.002367, + "loss": 1.3725, + "step": 789 + }, + { + "epoch": 0.06933797049296335, + "grad_norm": 0.1669921875, + "learning_rate": 0.00237, + "loss": 1.379, + "step": 790 + }, + { + "epoch": 0.06942574007586583, + "grad_norm": 0.205078125, + "learning_rate": 0.002373, + "loss": 1.3556, + "step": 791 + }, + { + "epoch": 0.06951350965876832, + "grad_norm": 0.212890625, + "learning_rate": 0.002376, + "loss": 1.361, + "step": 792 + }, + { + "epoch": 0.06960127924167081, + "grad_norm": 0.45703125, + "learning_rate": 0.002379, + "loss": 1.4277, + "step": 793 + }, + { + "epoch": 0.06968904882457329, + "grad_norm": 0.23828125, + "learning_rate": 0.002382, + "loss": 1.3974, + "step": 794 + }, + { + "epoch": 0.06977681840747578, + "grad_norm": 0.361328125, + "learning_rate": 0.002385, + "loss": 1.4055, + "step": 795 + }, + { + "epoch": 0.06986458799037826, + "grad_norm": 0.58984375, + "learning_rate": 0.0023880000000000004, + "loss": 1.3921, + "step": 796 + }, + { + "epoch": 0.06995235757328075, + "grad_norm": 0.85546875, + "learning_rate": 0.0023910000000000003, + "loss": 1.4157, + "step": 797 + }, + { + "epoch": 0.07004012715618323, + "grad_norm": 0.5703125, + "learning_rate": 0.0023940000000000003, + "loss": 1.3959, + "step": 798 + }, + { + "epoch": 0.07012789673908572, + "grad_norm": 0.3671875, + "learning_rate": 0.0023970000000000003, + "loss": 1.3814, + "step": 799 + }, + { + "epoch": 0.0702156663219882, + "grad_norm": 0.423828125, + "learning_rate": 0.0024000000000000002, + "loss": 1.3708, + "step": 800 + }, + { + "epoch": 0.07030343590489069, + "grad_norm": 0.279296875, + "learning_rate": 0.002403, + "loss": 1.4212, + "step": 801 + }, + { + "epoch": 0.07039120548779317, + "grad_norm": 0.291015625, + "learning_rate": 0.002406, + "loss": 1.3823, + "step": 802 + }, + { + "epoch": 0.07047897507069566, + "grad_norm": 0.30859375, + "learning_rate": 0.002409, + "loss": 1.4311, + "step": 803 + }, + { + "epoch": 0.07056674465359813, + "grad_norm": 0.1630859375, + "learning_rate": 0.002412, + "loss": 1.3919, + "step": 804 + }, + { + "epoch": 0.07065451423650063, + "grad_norm": 0.2392578125, + "learning_rate": 0.002415, + "loss": 1.4003, + "step": 805 + }, + { + "epoch": 0.07074228381940312, + "grad_norm": 0.1533203125, + "learning_rate": 0.002418, + "loss": 1.4254, + "step": 806 + }, + { + "epoch": 0.0708300534023056, + "grad_norm": 0.1474609375, + "learning_rate": 0.0024210000000000004, + "loss": 1.3777, + "step": 807 + }, + { + "epoch": 0.07091782298520809, + "grad_norm": 0.1806640625, + "learning_rate": 0.0024240000000000004, + "loss": 1.4008, + "step": 808 + }, + { + "epoch": 0.07100559256811056, + "grad_norm": 0.1953125, + "learning_rate": 0.0024270000000000003, + "loss": 1.3804, + "step": 809 + }, + { + "epoch": 0.07109336215101306, + "grad_norm": 0.154296875, + "learning_rate": 0.0024300000000000003, + "loss": 1.4175, + "step": 810 + }, + { + "epoch": 0.07118113173391553, + "grad_norm": 0.1572265625, + "learning_rate": 0.0024330000000000003, + "loss": 1.398, + "step": 811 + }, + { + "epoch": 0.07126890131681803, + "grad_norm": 0.1533203125, + "learning_rate": 0.0024360000000000002, + "loss": 1.3582, + "step": 812 + }, + { + "epoch": 0.0713566708997205, + "grad_norm": 0.1572265625, + "learning_rate": 0.0024389999999999998, + "loss": 1.4143, + "step": 813 + }, + { + "epoch": 0.071444440482623, + "grad_norm": 0.1875, + "learning_rate": 0.0024419999999999997, + "loss": 1.4149, + "step": 814 + }, + { + "epoch": 0.07153221006552547, + "grad_norm": 0.1767578125, + "learning_rate": 0.0024449999999999997, + "loss": 1.3686, + "step": 815 + }, + { + "epoch": 0.07161997964842796, + "grad_norm": 3.828125, + "learning_rate": 0.002448, + "loss": 1.4106, + "step": 816 + }, + { + "epoch": 0.07170774923133046, + "grad_norm": 0.279296875, + "learning_rate": 0.002451, + "loss": 1.4604, + "step": 817 + }, + { + "epoch": 0.07179551881423293, + "grad_norm": 0.5703125, + "learning_rate": 0.002454, + "loss": 1.4668, + "step": 818 + }, + { + "epoch": 0.07188328839713543, + "grad_norm": 0.55859375, + "learning_rate": 0.002457, + "loss": 1.3775, + "step": 819 + }, + { + "epoch": 0.0719710579800379, + "grad_norm": 0.294921875, + "learning_rate": 0.00246, + "loss": 1.3806, + "step": 820 + }, + { + "epoch": 0.0720588275629404, + "grad_norm": 0.59375, + "learning_rate": 0.002463, + "loss": 1.4512, + "step": 821 + }, + { + "epoch": 0.07214659714584287, + "grad_norm": 0.30859375, + "learning_rate": 0.002466, + "loss": 1.4076, + "step": 822 + }, + { + "epoch": 0.07223436672874536, + "grad_norm": 0.28515625, + "learning_rate": 0.002469, + "loss": 1.3972, + "step": 823 + }, + { + "epoch": 0.07232213631164784, + "grad_norm": 0.35546875, + "learning_rate": 0.002472, + "loss": 1.4491, + "step": 824 + }, + { + "epoch": 0.07240990589455033, + "grad_norm": 0.16796875, + "learning_rate": 0.0024749999999999998, + "loss": 1.4254, + "step": 825 + }, + { + "epoch": 0.07249767547745281, + "grad_norm": 0.37109375, + "learning_rate": 0.0024779999999999997, + "loss": 1.3944, + "step": 826 + }, + { + "epoch": 0.0725854450603553, + "grad_norm": 0.189453125, + "learning_rate": 0.002481, + "loss": 1.4159, + "step": 827 + }, + { + "epoch": 0.0726732146432578, + "grad_norm": 0.26171875, + "learning_rate": 0.002484, + "loss": 1.3851, + "step": 828 + }, + { + "epoch": 0.07276098422616027, + "grad_norm": 0.2177734375, + "learning_rate": 0.002487, + "loss": 1.3845, + "step": 829 + }, + { + "epoch": 0.07284875380906276, + "grad_norm": 0.212890625, + "learning_rate": 0.00249, + "loss": 1.4024, + "step": 830 + }, + { + "epoch": 0.07293652339196524, + "grad_norm": 0.1767578125, + "learning_rate": 0.002493, + "loss": 1.3894, + "step": 831 + }, + { + "epoch": 0.07302429297486773, + "grad_norm": 0.19921875, + "learning_rate": 0.002496, + "loss": 1.4546, + "step": 832 + }, + { + "epoch": 0.07311206255777021, + "grad_norm": 0.15234375, + "learning_rate": 0.002499, + "loss": 1.4338, + "step": 833 + }, + { + "epoch": 0.0731998321406727, + "grad_norm": 0.205078125, + "learning_rate": 0.002502, + "loss": 1.4251, + "step": 834 + }, + { + "epoch": 0.07328760172357518, + "grad_norm": 0.2255859375, + "learning_rate": 0.002505, + "loss": 1.4107, + "step": 835 + }, + { + "epoch": 0.07337537130647767, + "grad_norm": 0.19921875, + "learning_rate": 0.002508, + "loss": 1.3467, + "step": 836 + }, + { + "epoch": 0.07346314088938015, + "grad_norm": 0.208984375, + "learning_rate": 0.0025109999999999998, + "loss": 1.3859, + "step": 837 + }, + { + "epoch": 0.07355091047228264, + "grad_norm": 0.205078125, + "learning_rate": 0.0025139999999999997, + "loss": 1.3957, + "step": 838 + }, + { + "epoch": 0.07363868005518512, + "grad_norm": 0.1689453125, + "learning_rate": 0.002517, + "loss": 1.3665, + "step": 839 + }, + { + "epoch": 0.07372644963808761, + "grad_norm": 0.1650390625, + "learning_rate": 0.00252, + "loss": 1.3961, + "step": 840 + }, + { + "epoch": 0.0738142192209901, + "grad_norm": 0.2470703125, + "learning_rate": 0.002523, + "loss": 1.3849, + "step": 841 + }, + { + "epoch": 0.07390198880389258, + "grad_norm": 0.248046875, + "learning_rate": 0.002526, + "loss": 1.352, + "step": 842 + }, + { + "epoch": 0.07398975838679507, + "grad_norm": 0.1689453125, + "learning_rate": 0.002529, + "loss": 1.4165, + "step": 843 + }, + { + "epoch": 0.07407752796969755, + "grad_norm": 0.1474609375, + "learning_rate": 0.002532, + "loss": 1.4083, + "step": 844 + }, + { + "epoch": 0.07416529755260004, + "grad_norm": 0.1669921875, + "learning_rate": 0.002535, + "loss": 1.4197, + "step": 845 + }, + { + "epoch": 0.07425306713550252, + "grad_norm": 0.197265625, + "learning_rate": 0.002538, + "loss": 1.4065, + "step": 846 + }, + { + "epoch": 0.07434083671840501, + "grad_norm": 0.1923828125, + "learning_rate": 0.002541, + "loss": 1.3912, + "step": 847 + }, + { + "epoch": 0.07442860630130749, + "grad_norm": 0.2314453125, + "learning_rate": 0.002544, + "loss": 1.4331, + "step": 848 + }, + { + "epoch": 0.07451637588420998, + "grad_norm": 0.1630859375, + "learning_rate": 0.002547, + "loss": 1.3746, + "step": 849 + }, + { + "epoch": 0.07460414546711246, + "grad_norm": 0.14453125, + "learning_rate": 0.00255, + "loss": 1.3978, + "step": 850 + }, + { + "epoch": 0.07469191505001495, + "grad_norm": 0.197265625, + "learning_rate": 0.002553, + "loss": 1.4342, + "step": 851 + }, + { + "epoch": 0.07477968463291744, + "grad_norm": 0.21484375, + "learning_rate": 0.002556, + "loss": 1.369, + "step": 852 + }, + { + "epoch": 0.07486745421581992, + "grad_norm": 0.23828125, + "learning_rate": 0.002559, + "loss": 1.4062, + "step": 853 + }, + { + "epoch": 0.07495522379872241, + "grad_norm": 0.23828125, + "learning_rate": 0.002562, + "loss": 1.3848, + "step": 854 + }, + { + "epoch": 0.07504299338162489, + "grad_norm": 0.279296875, + "learning_rate": 0.002565, + "loss": 1.3805, + "step": 855 + }, + { + "epoch": 0.07513076296452738, + "grad_norm": 0.1982421875, + "learning_rate": 0.002568, + "loss": 1.3979, + "step": 856 + }, + { + "epoch": 0.07521853254742986, + "grad_norm": 0.2197265625, + "learning_rate": 0.002571, + "loss": 1.3539, + "step": 857 + }, + { + "epoch": 0.07530630213033235, + "grad_norm": 0.2001953125, + "learning_rate": 0.002574, + "loss": 1.3399, + "step": 858 + }, + { + "epoch": 0.07539407171323483, + "grad_norm": 0.2041015625, + "learning_rate": 0.002577, + "loss": 1.4018, + "step": 859 + }, + { + "epoch": 0.07548184129613732, + "grad_norm": 0.1953125, + "learning_rate": 0.00258, + "loss": 1.4543, + "step": 860 + }, + { + "epoch": 0.0755696108790398, + "grad_norm": 0.2421875, + "learning_rate": 0.0025830000000000002, + "loss": 1.4085, + "step": 861 + }, + { + "epoch": 0.07565738046194229, + "grad_norm": 0.2734375, + "learning_rate": 0.002586, + "loss": 1.4448, + "step": 862 + }, + { + "epoch": 0.07574515004484478, + "grad_norm": 0.197265625, + "learning_rate": 0.002589, + "loss": 1.4506, + "step": 863 + }, + { + "epoch": 0.07583291962774726, + "grad_norm": 0.25, + "learning_rate": 0.002592, + "loss": 1.4231, + "step": 864 + }, + { + "epoch": 0.07592068921064975, + "grad_norm": 0.2138671875, + "learning_rate": 0.002595, + "loss": 1.3962, + "step": 865 + }, + { + "epoch": 0.07600845879355222, + "grad_norm": 0.205078125, + "learning_rate": 0.002598, + "loss": 1.3933, + "step": 866 + }, + { + "epoch": 0.07609622837645472, + "grad_norm": 0.197265625, + "learning_rate": 0.002601, + "loss": 1.4323, + "step": 867 + }, + { + "epoch": 0.0761839979593572, + "grad_norm": 0.1845703125, + "learning_rate": 0.002604, + "loss": 1.4321, + "step": 868 + }, + { + "epoch": 0.07627176754225969, + "grad_norm": 0.255859375, + "learning_rate": 0.002607, + "loss": 1.403, + "step": 869 + }, + { + "epoch": 0.07635953712516216, + "grad_norm": 0.318359375, + "learning_rate": 0.00261, + "loss": 1.3849, + "step": 870 + }, + { + "epoch": 0.07644730670806466, + "grad_norm": 0.25390625, + "learning_rate": 0.002613, + "loss": 1.4362, + "step": 871 + }, + { + "epoch": 0.07653507629096713, + "grad_norm": 0.298828125, + "learning_rate": 0.002616, + "loss": 1.3857, + "step": 872 + }, + { + "epoch": 0.07662284587386962, + "grad_norm": 0.416015625, + "learning_rate": 0.0026190000000000002, + "loss": 1.424, + "step": 873 + }, + { + "epoch": 0.0767106154567721, + "grad_norm": 0.474609375, + "learning_rate": 0.002622, + "loss": 1.4226, + "step": 874 + }, + { + "epoch": 0.0767983850396746, + "grad_norm": 0.46484375, + "learning_rate": 0.002625, + "loss": 1.4058, + "step": 875 + }, + { + "epoch": 0.07688615462257709, + "grad_norm": 0.373046875, + "learning_rate": 0.002628, + "loss": 1.3957, + "step": 876 + }, + { + "epoch": 0.07697392420547956, + "grad_norm": 0.421875, + "learning_rate": 0.002631, + "loss": 1.4533, + "step": 877 + }, + { + "epoch": 0.07706169378838205, + "grad_norm": 0.365234375, + "learning_rate": 0.002634, + "loss": 1.3528, + "step": 878 + }, + { + "epoch": 0.07714946337128453, + "grad_norm": 0.287109375, + "learning_rate": 0.002637, + "loss": 1.3916, + "step": 879 + }, + { + "epoch": 0.07723723295418702, + "grad_norm": 0.244140625, + "learning_rate": 0.00264, + "loss": 1.449, + "step": 880 + }, + { + "epoch": 0.0773250025370895, + "grad_norm": 0.265625, + "learning_rate": 0.002643, + "loss": 1.4141, + "step": 881 + }, + { + "epoch": 0.077412772119992, + "grad_norm": 0.21875, + "learning_rate": 0.002646, + "loss": 1.4228, + "step": 882 + }, + { + "epoch": 0.07750054170289447, + "grad_norm": 0.1611328125, + "learning_rate": 0.002649, + "loss": 1.3928, + "step": 883 + }, + { + "epoch": 0.07758831128579696, + "grad_norm": 0.25, + "learning_rate": 0.0026520000000000003, + "loss": 1.3593, + "step": 884 + }, + { + "epoch": 0.07767608086869944, + "grad_norm": 0.1708984375, + "learning_rate": 0.0026550000000000002, + "loss": 1.3993, + "step": 885 + }, + { + "epoch": 0.07776385045160193, + "grad_norm": 0.17578125, + "learning_rate": 0.002658, + "loss": 1.3602, + "step": 886 + }, + { + "epoch": 0.07785162003450442, + "grad_norm": 0.2265625, + "learning_rate": 0.002661, + "loss": 1.4019, + "step": 887 + }, + { + "epoch": 0.0779393896174069, + "grad_norm": 0.2138671875, + "learning_rate": 0.002664, + "loss": 1.3701, + "step": 888 + }, + { + "epoch": 0.07802715920030939, + "grad_norm": 0.185546875, + "learning_rate": 0.002667, + "loss": 1.4444, + "step": 889 + }, + { + "epoch": 0.07811492878321187, + "grad_norm": 0.1572265625, + "learning_rate": 0.00267, + "loss": 1.401, + "step": 890 + }, + { + "epoch": 0.07820269836611436, + "grad_norm": 0.14453125, + "learning_rate": 0.002673, + "loss": 1.409, + "step": 891 + }, + { + "epoch": 0.07829046794901684, + "grad_norm": 0.20703125, + "learning_rate": 0.002676, + "loss": 1.3678, + "step": 892 + }, + { + "epoch": 0.07837823753191933, + "grad_norm": 0.1826171875, + "learning_rate": 0.002679, + "loss": 1.4032, + "step": 893 + }, + { + "epoch": 0.07846600711482181, + "grad_norm": 0.1611328125, + "learning_rate": 0.002682, + "loss": 1.3723, + "step": 894 + }, + { + "epoch": 0.0785537766977243, + "grad_norm": 0.1845703125, + "learning_rate": 0.0026850000000000003, + "loss": 1.3817, + "step": 895 + }, + { + "epoch": 0.07864154628062678, + "grad_norm": 0.1591796875, + "learning_rate": 0.0026880000000000003, + "loss": 1.4086, + "step": 896 + }, + { + "epoch": 0.07872931586352927, + "grad_norm": 0.21484375, + "learning_rate": 0.0026910000000000002, + "loss": 1.3719, + "step": 897 + }, + { + "epoch": 0.07881708544643176, + "grad_norm": 0.1689453125, + "learning_rate": 0.002694, + "loss": 1.3896, + "step": 898 + }, + { + "epoch": 0.07890485502933424, + "grad_norm": 0.1591796875, + "learning_rate": 0.002697, + "loss": 1.4354, + "step": 899 + }, + { + "epoch": 0.07899262461223673, + "grad_norm": 0.20703125, + "learning_rate": 0.0027, + "loss": 1.4313, + "step": 900 + }, + { + "epoch": 0.07908039419513921, + "grad_norm": 0.16796875, + "learning_rate": 0.002703, + "loss": 1.4053, + "step": 901 + }, + { + "epoch": 0.0791681637780417, + "grad_norm": 0.2294921875, + "learning_rate": 0.002706, + "loss": 1.4214, + "step": 902 + }, + { + "epoch": 0.07925593336094418, + "grad_norm": 0.271484375, + "learning_rate": 0.002709, + "loss": 1.3898, + "step": 903 + }, + { + "epoch": 0.07934370294384667, + "grad_norm": 0.193359375, + "learning_rate": 0.002712, + "loss": 1.4251, + "step": 904 + }, + { + "epoch": 0.07943147252674915, + "grad_norm": 0.1923828125, + "learning_rate": 0.002715, + "loss": 1.3688, + "step": 905 + }, + { + "epoch": 0.07951924210965164, + "grad_norm": 0.224609375, + "learning_rate": 0.002718, + "loss": 1.377, + "step": 906 + }, + { + "epoch": 0.07960701169255412, + "grad_norm": 0.291015625, + "learning_rate": 0.0027210000000000003, + "loss": 1.4229, + "step": 907 + }, + { + "epoch": 0.07969478127545661, + "grad_norm": 0.1630859375, + "learning_rate": 0.0027240000000000003, + "loss": 1.4327, + "step": 908 + }, + { + "epoch": 0.07978255085835909, + "grad_norm": 0.197265625, + "learning_rate": 0.0027270000000000003, + "loss": 1.3982, + "step": 909 + }, + { + "epoch": 0.07987032044126158, + "grad_norm": 0.2421875, + "learning_rate": 0.0027300000000000002, + "loss": 1.392, + "step": 910 + }, + { + "epoch": 0.07995809002416407, + "grad_norm": 0.36328125, + "learning_rate": 0.002733, + "loss": 1.4287, + "step": 911 + }, + { + "epoch": 0.08004585960706655, + "grad_norm": 0.6875, + "learning_rate": 0.002736, + "loss": 1.3982, + "step": 912 + }, + { + "epoch": 0.08013362918996904, + "grad_norm": 0.8671875, + "learning_rate": 0.002739, + "loss": 1.3988, + "step": 913 + }, + { + "epoch": 0.08022139877287152, + "grad_norm": 0.24609375, + "learning_rate": 0.002742, + "loss": 1.3755, + "step": 914 + }, + { + "epoch": 0.08030916835577401, + "grad_norm": 0.57421875, + "learning_rate": 0.002745, + "loss": 1.4671, + "step": 915 + }, + { + "epoch": 0.08039693793867649, + "grad_norm": 0.416015625, + "learning_rate": 0.002748, + "loss": 1.4094, + "step": 916 + }, + { + "epoch": 0.08048470752157898, + "grad_norm": 0.314453125, + "learning_rate": 0.002751, + "loss": 1.4038, + "step": 917 + }, + { + "epoch": 0.08057247710448145, + "grad_norm": 0.38671875, + "learning_rate": 0.0027540000000000004, + "loss": 1.4396, + "step": 918 + }, + { + "epoch": 0.08066024668738395, + "grad_norm": 0.201171875, + "learning_rate": 0.0027570000000000003, + "loss": 1.3817, + "step": 919 + }, + { + "epoch": 0.08074801627028642, + "grad_norm": 0.31640625, + "learning_rate": 0.0027600000000000003, + "loss": 1.382, + "step": 920 + }, + { + "epoch": 0.08083578585318892, + "grad_norm": 0.193359375, + "learning_rate": 0.0027630000000000003, + "loss": 1.4015, + "step": 921 + }, + { + "epoch": 0.08092355543609141, + "grad_norm": 0.21875, + "learning_rate": 0.0027660000000000002, + "loss": 1.4056, + "step": 922 + }, + { + "epoch": 0.08101132501899388, + "grad_norm": 0.1611328125, + "learning_rate": 0.002769, + "loss": 1.4484, + "step": 923 + }, + { + "epoch": 0.08109909460189638, + "grad_norm": 0.1826171875, + "learning_rate": 0.002772, + "loss": 1.4534, + "step": 924 + }, + { + "epoch": 0.08118686418479885, + "grad_norm": 0.1494140625, + "learning_rate": 0.002775, + "loss": 1.3962, + "step": 925 + }, + { + "epoch": 0.08127463376770135, + "grad_norm": 0.169921875, + "learning_rate": 0.002778, + "loss": 1.3683, + "step": 926 + }, + { + "epoch": 0.08136240335060382, + "grad_norm": 0.158203125, + "learning_rate": 0.002781, + "loss": 1.3443, + "step": 927 + }, + { + "epoch": 0.08145017293350632, + "grad_norm": 0.162109375, + "learning_rate": 0.002784, + "loss": 1.3491, + "step": 928 + }, + { + "epoch": 0.08153794251640879, + "grad_norm": 0.130859375, + "learning_rate": 0.0027870000000000004, + "loss": 1.3446, + "step": 929 + }, + { + "epoch": 0.08162571209931128, + "grad_norm": 0.13671875, + "learning_rate": 0.0027900000000000004, + "loss": 1.3753, + "step": 930 + }, + { + "epoch": 0.08171348168221376, + "grad_norm": 0.177734375, + "learning_rate": 0.0027930000000000003, + "loss": 1.4317, + "step": 931 + }, + { + "epoch": 0.08180125126511625, + "grad_norm": 0.16015625, + "learning_rate": 0.0027960000000000003, + "loss": 1.4003, + "step": 932 + }, + { + "epoch": 0.08188902084801875, + "grad_norm": 0.12353515625, + "learning_rate": 0.0027990000000000003, + "loss": 1.3705, + "step": 933 + }, + { + "epoch": 0.08197679043092122, + "grad_norm": 0.1171875, + "learning_rate": 0.0028020000000000002, + "loss": 1.4637, + "step": 934 + }, + { + "epoch": 0.08206456001382371, + "grad_norm": 0.1162109375, + "learning_rate": 0.002805, + "loss": 1.3788, + "step": 935 + }, + { + "epoch": 0.08215232959672619, + "grad_norm": 0.1572265625, + "learning_rate": 0.002808, + "loss": 1.4177, + "step": 936 + }, + { + "epoch": 0.08224009917962868, + "grad_norm": 0.138671875, + "learning_rate": 0.002811, + "loss": 1.365, + "step": 937 + }, + { + "epoch": 0.08232786876253116, + "grad_norm": 0.55859375, + "learning_rate": 0.002814, + "loss": 1.403, + "step": 938 + }, + { + "epoch": 0.08241563834543365, + "grad_norm": 0.1552734375, + "learning_rate": 0.002817, + "loss": 1.4323, + "step": 939 + }, + { + "epoch": 0.08250340792833613, + "grad_norm": 0.1572265625, + "learning_rate": 0.00282, + "loss": 1.3889, + "step": 940 + }, + { + "epoch": 0.08259117751123862, + "grad_norm": 0.2041015625, + "learning_rate": 0.002823, + "loss": 1.3413, + "step": 941 + }, + { + "epoch": 0.0826789470941411, + "grad_norm": 0.1484375, + "learning_rate": 0.002826, + "loss": 1.4498, + "step": 942 + }, + { + "epoch": 0.08276671667704359, + "grad_norm": 0.2021484375, + "learning_rate": 0.002829, + "loss": 1.4469, + "step": 943 + }, + { + "epoch": 0.08285448625994607, + "grad_norm": 0.1748046875, + "learning_rate": 0.002832, + "loss": 1.3705, + "step": 944 + }, + { + "epoch": 0.08294225584284856, + "grad_norm": 0.220703125, + "learning_rate": 0.002835, + "loss": 1.3415, + "step": 945 + }, + { + "epoch": 0.08303002542575105, + "grad_norm": 0.2470703125, + "learning_rate": 0.002838, + "loss": 1.4412, + "step": 946 + }, + { + "epoch": 0.08311779500865353, + "grad_norm": 0.2392578125, + "learning_rate": 0.0028409999999999998, + "loss": 1.4073, + "step": 947 + }, + { + "epoch": 0.08320556459155602, + "grad_norm": 0.1591796875, + "learning_rate": 0.0028439999999999997, + "loss": 1.4343, + "step": 948 + }, + { + "epoch": 0.0832933341744585, + "grad_norm": 0.1611328125, + "learning_rate": 0.002847, + "loss": 1.427, + "step": 949 + }, + { + "epoch": 0.08338110375736099, + "grad_norm": 0.21484375, + "learning_rate": 0.00285, + "loss": 1.3348, + "step": 950 + }, + { + "epoch": 0.08346887334026347, + "grad_norm": 0.181640625, + "learning_rate": 0.002853, + "loss": 1.3768, + "step": 951 + }, + { + "epoch": 0.08355664292316596, + "grad_norm": 0.2431640625, + "learning_rate": 0.002856, + "loss": 1.4057, + "step": 952 + }, + { + "epoch": 0.08364441250606844, + "grad_norm": 0.291015625, + "learning_rate": 0.002859, + "loss": 1.4168, + "step": 953 + }, + { + "epoch": 0.08373218208897093, + "grad_norm": 0.3359375, + "learning_rate": 0.002862, + "loss": 1.3865, + "step": 954 + }, + { + "epoch": 0.08381995167187341, + "grad_norm": 0.2490234375, + "learning_rate": 0.002865, + "loss": 1.447, + "step": 955 + }, + { + "epoch": 0.0839077212547759, + "grad_norm": 0.1884765625, + "learning_rate": 0.002868, + "loss": 1.3856, + "step": 956 + }, + { + "epoch": 0.08399549083767839, + "grad_norm": 0.25390625, + "learning_rate": 0.002871, + "loss": 1.4196, + "step": 957 + }, + { + "epoch": 0.08408326042058087, + "grad_norm": 0.15625, + "learning_rate": 0.002874, + "loss": 1.3786, + "step": 958 + }, + { + "epoch": 0.08417103000348336, + "grad_norm": 0.1376953125, + "learning_rate": 0.002877, + "loss": 1.3898, + "step": 959 + }, + { + "epoch": 0.08425879958638584, + "grad_norm": 0.126953125, + "learning_rate": 0.0028799999999999997, + "loss": 1.4289, + "step": 960 + }, + { + "epoch": 0.08434656916928833, + "grad_norm": 0.201171875, + "learning_rate": 0.002883, + "loss": 1.3777, + "step": 961 + }, + { + "epoch": 0.08443433875219081, + "grad_norm": 0.2138671875, + "learning_rate": 0.002886, + "loss": 1.4581, + "step": 962 + }, + { + "epoch": 0.0845221083350933, + "grad_norm": 0.17578125, + "learning_rate": 0.002889, + "loss": 1.3526, + "step": 963 + }, + { + "epoch": 0.08460987791799578, + "grad_norm": 0.3671875, + "learning_rate": 0.002892, + "loss": 1.404, + "step": 964 + }, + { + "epoch": 0.08469764750089827, + "grad_norm": 0.328125, + "learning_rate": 0.002895, + "loss": 1.3726, + "step": 965 + }, + { + "epoch": 0.08478541708380075, + "grad_norm": 0.1962890625, + "learning_rate": 0.002898, + "loss": 1.423, + "step": 966 + }, + { + "epoch": 0.08487318666670324, + "grad_norm": 0.26953125, + "learning_rate": 0.002901, + "loss": 1.4026, + "step": 967 + }, + { + "epoch": 0.08496095624960573, + "grad_norm": 0.33984375, + "learning_rate": 0.002904, + "loss": 1.4215, + "step": 968 + }, + { + "epoch": 0.0850487258325082, + "grad_norm": 0.4140625, + "learning_rate": 0.002907, + "loss": 1.3334, + "step": 969 + }, + { + "epoch": 0.0851364954154107, + "grad_norm": 0.330078125, + "learning_rate": 0.00291, + "loss": 1.4332, + "step": 970 + }, + { + "epoch": 0.08522426499831318, + "grad_norm": 0.1318359375, + "learning_rate": 0.002913, + "loss": 1.3709, + "step": 971 + }, + { + "epoch": 0.08531203458121567, + "grad_norm": 0.2255859375, + "learning_rate": 0.002916, + "loss": 1.378, + "step": 972 + }, + { + "epoch": 0.08539980416411815, + "grad_norm": 0.1611328125, + "learning_rate": 0.002919, + "loss": 1.3483, + "step": 973 + }, + { + "epoch": 0.08548757374702064, + "grad_norm": 0.1611328125, + "learning_rate": 0.002922, + "loss": 1.3419, + "step": 974 + }, + { + "epoch": 0.08557534332992311, + "grad_norm": 0.1552734375, + "learning_rate": 0.002925, + "loss": 1.4303, + "step": 975 + }, + { + "epoch": 0.0856631129128256, + "grad_norm": 0.177734375, + "learning_rate": 0.002928, + "loss": 1.3703, + "step": 976 + }, + { + "epoch": 0.08575088249572808, + "grad_norm": 0.267578125, + "learning_rate": 0.002931, + "loss": 1.3757, + "step": 977 + }, + { + "epoch": 0.08583865207863058, + "grad_norm": 0.169921875, + "learning_rate": 0.002934, + "loss": 1.4041, + "step": 978 + }, + { + "epoch": 0.08592642166153307, + "grad_norm": 0.1435546875, + "learning_rate": 0.002937, + "loss": 1.3838, + "step": 979 + }, + { + "epoch": 0.08601419124443554, + "grad_norm": 0.1669921875, + "learning_rate": 0.00294, + "loss": 1.3663, + "step": 980 + }, + { + "epoch": 0.08610196082733804, + "grad_norm": 0.12255859375, + "learning_rate": 0.002943, + "loss": 1.3884, + "step": 981 + }, + { + "epoch": 0.08618973041024051, + "grad_norm": 0.16796875, + "learning_rate": 0.002946, + "loss": 1.4175, + "step": 982 + }, + { + "epoch": 0.086277499993143, + "grad_norm": 0.1533203125, + "learning_rate": 0.0029490000000000002, + "loss": 1.3364, + "step": 983 + }, + { + "epoch": 0.08636526957604548, + "grad_norm": 0.1484375, + "learning_rate": 0.002952, + "loss": 1.3714, + "step": 984 + }, + { + "epoch": 0.08645303915894798, + "grad_norm": 0.189453125, + "learning_rate": 0.002955, + "loss": 1.3786, + "step": 985 + }, + { + "epoch": 0.08654080874185045, + "grad_norm": 0.2255859375, + "learning_rate": 0.002958, + "loss": 1.4111, + "step": 986 + }, + { + "epoch": 0.08662857832475294, + "grad_norm": 0.2021484375, + "learning_rate": 0.002961, + "loss": 1.4381, + "step": 987 + }, + { + "epoch": 0.08671634790765542, + "grad_norm": 0.2333984375, + "learning_rate": 0.002964, + "loss": 1.3721, + "step": 988 + }, + { + "epoch": 0.08680411749055791, + "grad_norm": 0.25, + "learning_rate": 0.002967, + "loss": 1.4126, + "step": 989 + }, + { + "epoch": 0.08689188707346039, + "grad_norm": 0.279296875, + "learning_rate": 0.00297, + "loss": 1.4663, + "step": 990 + }, + { + "epoch": 0.08697965665636288, + "grad_norm": 0.25, + "learning_rate": 0.002973, + "loss": 1.382, + "step": 991 + }, + { + "epoch": 0.08706742623926537, + "grad_norm": 0.328125, + "learning_rate": 0.002976, + "loss": 1.4019, + "step": 992 + }, + { + "epoch": 0.08715519582216785, + "grad_norm": 0.443359375, + "learning_rate": 0.002979, + "loss": 1.462, + "step": 993 + }, + { + "epoch": 0.08724296540507034, + "grad_norm": 0.439453125, + "learning_rate": 0.002982, + "loss": 1.421, + "step": 994 + }, + { + "epoch": 0.08733073498797282, + "grad_norm": 0.25, + "learning_rate": 0.0029850000000000002, + "loss": 1.3908, + "step": 995 + }, + { + "epoch": 0.08741850457087531, + "grad_norm": 0.16796875, + "learning_rate": 0.002988, + "loss": 1.3896, + "step": 996 + }, + { + "epoch": 0.08750627415377779, + "grad_norm": 0.287109375, + "learning_rate": 0.002991, + "loss": 1.4022, + "step": 997 + }, + { + "epoch": 0.08759404373668028, + "grad_norm": 0.1943359375, + "learning_rate": 0.002994, + "loss": 1.3985, + "step": 998 + }, + { + "epoch": 0.08768181331958276, + "grad_norm": 0.2041015625, + "learning_rate": 0.002997, + "loss": 1.3715, + "step": 999 + }, + { + "epoch": 0.08776958290248525, + "grad_norm": 0.177734375, + "learning_rate": 0.003, + "loss": 1.3632, + "step": 1000 + }, + { + "epoch": 0.08776958290248525, + "eval_loss": 1.3825047016143799, + "eval_runtime": 437.7802, + "eval_samples_per_second": 33.67, + "eval_steps_per_second": 8.417, + "step": 1000 + }, + { + "epoch": 0.08785735248538773, + "grad_norm": 0.1728515625, + "learning_rate": 0.0029999999333801706, + "loss": 1.4102, + "step": 1001 + }, + { + "epoch": 0.08794512206829022, + "grad_norm": 0.197265625, + "learning_rate": 0.0029999997335206897, + "loss": 1.4553, + "step": 1002 + }, + { + "epoch": 0.08803289165119271, + "grad_norm": 0.208984375, + "learning_rate": 0.0029999994004215767, + "loss": 1.3328, + "step": 1003 + }, + { + "epoch": 0.08812066123409519, + "grad_norm": 0.2373046875, + "learning_rate": 0.002999998934082865, + "loss": 1.4013, + "step": 1004 + }, + { + "epoch": 0.08820843081699768, + "grad_norm": 0.220703125, + "learning_rate": 0.0029999983345045996, + "loss": 1.3431, + "step": 1005 + }, + { + "epoch": 0.08829620039990016, + "grad_norm": 0.1787109375, + "learning_rate": 0.0029999976016868404, + "loss": 1.3888, + "step": 1006 + }, + { + "epoch": 0.08838396998280265, + "grad_norm": 0.1494140625, + "learning_rate": 0.0029999967356296596, + "loss": 1.4219, + "step": 1007 + }, + { + "epoch": 0.08847173956570513, + "grad_norm": 0.26953125, + "learning_rate": 0.002999995736333143, + "loss": 1.4155, + "step": 1008 + }, + { + "epoch": 0.08855950914860762, + "grad_norm": 0.1767578125, + "learning_rate": 0.0029999946037973886, + "loss": 1.3674, + "step": 1009 + }, + { + "epoch": 0.0886472787315101, + "grad_norm": 0.251953125, + "learning_rate": 0.0029999933380225087, + "loss": 1.3753, + "step": 1010 + }, + { + "epoch": 0.08873504831441259, + "grad_norm": 0.14453125, + "learning_rate": 0.0029999919390086274, + "loss": 1.3757, + "step": 1011 + }, + { + "epoch": 0.08882281789731507, + "grad_norm": 0.21484375, + "learning_rate": 0.0029999904067558834, + "loss": 1.3702, + "step": 1012 + }, + { + "epoch": 0.08891058748021756, + "grad_norm": 0.341796875, + "learning_rate": 0.002999988741264429, + "loss": 1.3923, + "step": 1013 + }, + { + "epoch": 0.08899835706312005, + "grad_norm": 0.193359375, + "learning_rate": 0.0029999869425344264, + "loss": 1.37, + "step": 1014 + }, + { + "epoch": 0.08908612664602253, + "grad_norm": 0.1865234375, + "learning_rate": 0.0029999850105660547, + "loss": 1.4014, + "step": 1015 + }, + { + "epoch": 0.08917389622892502, + "grad_norm": 0.283203125, + "learning_rate": 0.0029999829453595038, + "loss": 1.3861, + "step": 1016 + }, + { + "epoch": 0.0892616658118275, + "grad_norm": 0.28125, + "learning_rate": 0.002999980746914978, + "loss": 1.4112, + "step": 1017 + }, + { + "epoch": 0.08934943539472999, + "grad_norm": 0.251953125, + "learning_rate": 0.002999978415232694, + "loss": 1.3873, + "step": 1018 + }, + { + "epoch": 0.08943720497763247, + "grad_norm": 0.318359375, + "learning_rate": 0.002999975950312882, + "loss": 1.404, + "step": 1019 + }, + { + "epoch": 0.08952497456053496, + "grad_norm": 0.29296875, + "learning_rate": 0.002999973352155785, + "loss": 1.4123, + "step": 1020 + }, + { + "epoch": 0.08961274414343744, + "grad_norm": 0.1728515625, + "learning_rate": 0.00299997062076166, + "loss": 1.4009, + "step": 1021 + }, + { + "epoch": 0.08970051372633993, + "grad_norm": 0.19921875, + "learning_rate": 0.0029999677561307766, + "loss": 1.352, + "step": 1022 + }, + { + "epoch": 0.0897882833092424, + "grad_norm": 0.3203125, + "learning_rate": 0.002999964758263417, + "loss": 1.4426, + "step": 1023 + }, + { + "epoch": 0.0898760528921449, + "grad_norm": 0.18359375, + "learning_rate": 0.002999961627159877, + "loss": 1.4257, + "step": 1024 + }, + { + "epoch": 0.08996382247504738, + "grad_norm": 0.181640625, + "learning_rate": 0.002999958362820466, + "loss": 1.4002, + "step": 1025 + }, + { + "epoch": 0.09005159205794987, + "grad_norm": 0.234375, + "learning_rate": 0.0029999549652455063, + "loss": 1.413, + "step": 1026 + }, + { + "epoch": 0.09013936164085236, + "grad_norm": 0.1552734375, + "learning_rate": 0.002999951434435333, + "loss": 1.3596, + "step": 1027 + }, + { + "epoch": 0.09022713122375484, + "grad_norm": 0.20703125, + "learning_rate": 0.0029999477703902947, + "loss": 1.4353, + "step": 1028 + }, + { + "epoch": 0.09031490080665733, + "grad_norm": 0.220703125, + "learning_rate": 0.0029999439731107527, + "loss": 1.3752, + "step": 1029 + }, + { + "epoch": 0.0904026703895598, + "grad_norm": 0.2021484375, + "learning_rate": 0.002999940042597082, + "loss": 1.386, + "step": 1030 + }, + { + "epoch": 0.0904904399724623, + "grad_norm": 0.1181640625, + "learning_rate": 0.0029999359788496715, + "loss": 1.3796, + "step": 1031 + }, + { + "epoch": 0.09057820955536477, + "grad_norm": 0.1748046875, + "learning_rate": 0.00299993178186892, + "loss": 1.3642, + "step": 1032 + }, + { + "epoch": 0.09066597913826727, + "grad_norm": 0.1806640625, + "learning_rate": 0.0029999274516552435, + "loss": 1.3919, + "step": 1033 + }, + { + "epoch": 0.09075374872116974, + "grad_norm": 0.15234375, + "learning_rate": 0.002999922988209069, + "loss": 1.3464, + "step": 1034 + }, + { + "epoch": 0.09084151830407224, + "grad_norm": 0.2216796875, + "learning_rate": 0.002999918391530837, + "loss": 1.3758, + "step": 1035 + }, + { + "epoch": 0.09092928788697471, + "grad_norm": 0.287109375, + "learning_rate": 0.002999913661621001, + "loss": 1.408, + "step": 1036 + }, + { + "epoch": 0.0910170574698772, + "grad_norm": 0.1865234375, + "learning_rate": 0.0029999087984800277, + "loss": 1.3728, + "step": 1037 + }, + { + "epoch": 0.0911048270527797, + "grad_norm": 0.1337890625, + "learning_rate": 0.002999903802108398, + "loss": 1.3839, + "step": 1038 + }, + { + "epoch": 0.09119259663568217, + "grad_norm": 0.142578125, + "learning_rate": 0.0029998986725066033, + "loss": 1.3796, + "step": 1039 + }, + { + "epoch": 0.09128036621858467, + "grad_norm": 0.14453125, + "learning_rate": 0.002999893409675152, + "loss": 1.3723, + "step": 1040 + }, + { + "epoch": 0.09136813580148714, + "grad_norm": 0.251953125, + "learning_rate": 0.0029998880136145613, + "loss": 1.3627, + "step": 1041 + }, + { + "epoch": 0.09145590538438964, + "grad_norm": 0.458984375, + "learning_rate": 0.002999882484325366, + "loss": 1.4139, + "step": 1042 + }, + { + "epoch": 0.09154367496729211, + "grad_norm": 0.2314453125, + "learning_rate": 0.00299987682180811, + "loss": 1.4144, + "step": 1043 + }, + { + "epoch": 0.0916314445501946, + "grad_norm": 0.142578125, + "learning_rate": 0.002999871026063353, + "loss": 1.335, + "step": 1044 + }, + { + "epoch": 0.09171921413309708, + "grad_norm": 0.1650390625, + "learning_rate": 0.002999865097091667, + "loss": 1.36, + "step": 1045 + }, + { + "epoch": 0.09180698371599957, + "grad_norm": 0.2001953125, + "learning_rate": 0.0029998590348936376, + "loss": 1.3949, + "step": 1046 + }, + { + "epoch": 0.09189475329890205, + "grad_norm": 0.224609375, + "learning_rate": 0.0029998528394698616, + "loss": 1.3764, + "step": 1047 + }, + { + "epoch": 0.09198252288180454, + "grad_norm": 0.1396484375, + "learning_rate": 0.002999846510820952, + "loss": 1.3687, + "step": 1048 + }, + { + "epoch": 0.09207029246470703, + "grad_norm": 0.158203125, + "learning_rate": 0.0029998400489475332, + "loss": 1.3591, + "step": 1049 + }, + { + "epoch": 0.09215806204760951, + "grad_norm": 0.1689453125, + "learning_rate": 0.0029998334538502416, + "loss": 1.3819, + "step": 1050 + }, + { + "epoch": 0.092245831630512, + "grad_norm": 0.14453125, + "learning_rate": 0.0029998267255297298, + "loss": 1.3957, + "step": 1051 + }, + { + "epoch": 0.09233360121341448, + "grad_norm": 0.169921875, + "learning_rate": 0.0029998198639866612, + "loss": 1.3797, + "step": 1052 + }, + { + "epoch": 0.09242137079631697, + "grad_norm": 0.26953125, + "learning_rate": 0.0029998128692217125, + "loss": 1.4328, + "step": 1053 + }, + { + "epoch": 0.09250914037921945, + "grad_norm": 0.2578125, + "learning_rate": 0.0029998057412355754, + "loss": 1.425, + "step": 1054 + }, + { + "epoch": 0.09259690996212194, + "grad_norm": 0.140625, + "learning_rate": 0.002999798480028952, + "loss": 1.4552, + "step": 1055 + }, + { + "epoch": 0.09268467954502442, + "grad_norm": 4.5625, + "learning_rate": 0.0029997910856025597, + "loss": 1.4378, + "step": 1056 + }, + { + "epoch": 0.09277244912792691, + "grad_norm": 0.1904296875, + "learning_rate": 0.0029997835579571278, + "loss": 1.397, + "step": 1057 + }, + { + "epoch": 0.09286021871082939, + "grad_norm": 0.2216796875, + "learning_rate": 0.0029997758970933997, + "loss": 1.3356, + "step": 1058 + }, + { + "epoch": 0.09294798829373188, + "grad_norm": 0.1796875, + "learning_rate": 0.0029997681030121313, + "loss": 1.422, + "step": 1059 + }, + { + "epoch": 0.09303575787663436, + "grad_norm": 0.2421875, + "learning_rate": 0.002999760175714092, + "loss": 1.4501, + "step": 1060 + }, + { + "epoch": 0.09312352745953685, + "grad_norm": 0.1845703125, + "learning_rate": 0.0029997521152000644, + "loss": 1.4169, + "step": 1061 + }, + { + "epoch": 0.09321129704243934, + "grad_norm": 0.1748046875, + "learning_rate": 0.0029997439214708432, + "loss": 1.3878, + "step": 1062 + }, + { + "epoch": 0.09329906662534182, + "grad_norm": 0.177734375, + "learning_rate": 0.002999735594527238, + "loss": 1.406, + "step": 1063 + }, + { + "epoch": 0.09338683620824431, + "grad_norm": 0.2451171875, + "learning_rate": 0.00299972713437007, + "loss": 1.3747, + "step": 1064 + }, + { + "epoch": 0.09347460579114679, + "grad_norm": 0.28125, + "learning_rate": 0.0029997185410001745, + "loss": 1.3693, + "step": 1065 + }, + { + "epoch": 0.09356237537404928, + "grad_norm": 0.365234375, + "learning_rate": 0.0029997098144183996, + "loss": 1.4782, + "step": 1066 + }, + { + "epoch": 0.09365014495695176, + "grad_norm": 0.404296875, + "learning_rate": 0.0029997009546256065, + "loss": 1.3834, + "step": 1067 + }, + { + "epoch": 0.09373791453985425, + "grad_norm": 0.30078125, + "learning_rate": 0.00299969196162267, + "loss": 1.3232, + "step": 1068 + }, + { + "epoch": 0.09382568412275673, + "grad_norm": 0.1435546875, + "learning_rate": 0.0029996828354104765, + "loss": 1.4099, + "step": 1069 + }, + { + "epoch": 0.09391345370565922, + "grad_norm": 0.298828125, + "learning_rate": 0.002999673575989929, + "loss": 1.3691, + "step": 1070 + }, + { + "epoch": 0.0940012232885617, + "grad_norm": 0.2236328125, + "learning_rate": 0.002999664183361939, + "loss": 1.4001, + "step": 1071 + }, + { + "epoch": 0.09408899287146419, + "grad_norm": 0.1630859375, + "learning_rate": 0.002999654657527434, + "loss": 1.3827, + "step": 1072 + }, + { + "epoch": 0.09417676245436668, + "grad_norm": 0.224609375, + "learning_rate": 0.002999644998487355, + "loss": 1.3673, + "step": 1073 + }, + { + "epoch": 0.09426453203726916, + "grad_norm": 0.189453125, + "learning_rate": 0.0029996352062426554, + "loss": 1.3937, + "step": 1074 + }, + { + "epoch": 0.09435230162017165, + "grad_norm": 0.1494140625, + "learning_rate": 0.0029996252807943007, + "loss": 1.359, + "step": 1075 + }, + { + "epoch": 0.09444007120307413, + "grad_norm": 0.1494140625, + "learning_rate": 0.0029996152221432714, + "loss": 1.4212, + "step": 1076 + }, + { + "epoch": 0.09452784078597662, + "grad_norm": 0.1572265625, + "learning_rate": 0.0029996050302905594, + "loss": 1.3969, + "step": 1077 + }, + { + "epoch": 0.0946156103688791, + "grad_norm": 0.1328125, + "learning_rate": 0.002999594705237171, + "loss": 1.4725, + "step": 1078 + }, + { + "epoch": 0.09470337995178159, + "grad_norm": 0.1484375, + "learning_rate": 0.002999584246984126, + "loss": 1.3726, + "step": 1079 + }, + { + "epoch": 0.09479114953468407, + "grad_norm": 0.12109375, + "learning_rate": 0.002999573655532455, + "loss": 1.3471, + "step": 1080 + }, + { + "epoch": 0.09487891911758656, + "grad_norm": 0.11181640625, + "learning_rate": 0.0029995629308832046, + "loss": 1.3358, + "step": 1081 + }, + { + "epoch": 0.09496668870048904, + "grad_norm": 0.1494140625, + "learning_rate": 0.002999552073037433, + "loss": 1.3811, + "step": 1082 + }, + { + "epoch": 0.09505445828339153, + "grad_norm": 0.248046875, + "learning_rate": 0.002999541081996211, + "loss": 1.4059, + "step": 1083 + }, + { + "epoch": 0.09514222786629402, + "grad_norm": 0.1220703125, + "learning_rate": 0.0029995299577606246, + "loss": 1.411, + "step": 1084 + }, + { + "epoch": 0.0952299974491965, + "grad_norm": 0.2314453125, + "learning_rate": 0.0029995187003317714, + "loss": 1.344, + "step": 1085 + }, + { + "epoch": 0.09531776703209899, + "grad_norm": 0.23828125, + "learning_rate": 0.0029995073097107616, + "loss": 1.4106, + "step": 1086 + }, + { + "epoch": 0.09540553661500147, + "grad_norm": 0.162109375, + "learning_rate": 0.0029994957858987207, + "loss": 1.41, + "step": 1087 + }, + { + "epoch": 0.09549330619790396, + "grad_norm": 0.25390625, + "learning_rate": 0.0029994841288967854, + "loss": 1.3824, + "step": 1088 + }, + { + "epoch": 0.09558107578080643, + "grad_norm": 0.197265625, + "learning_rate": 0.002999472338706106, + "loss": 1.3149, + "step": 1089 + }, + { + "epoch": 0.09566884536370893, + "grad_norm": 0.1953125, + "learning_rate": 0.002999460415327846, + "loss": 1.4327, + "step": 1090 + }, + { + "epoch": 0.0957566149466114, + "grad_norm": 0.2099609375, + "learning_rate": 0.0029994483587631833, + "loss": 1.3614, + "step": 1091 + }, + { + "epoch": 0.0958443845295139, + "grad_norm": 0.1630859375, + "learning_rate": 0.0029994361690133067, + "loss": 1.4151, + "step": 1092 + }, + { + "epoch": 0.09593215411241637, + "grad_norm": 0.158203125, + "learning_rate": 0.0029994238460794194, + "loss": 1.4326, + "step": 1093 + }, + { + "epoch": 0.09601992369531887, + "grad_norm": 0.24609375, + "learning_rate": 0.0029994113899627383, + "loss": 1.4586, + "step": 1094 + }, + { + "epoch": 0.09610769327822134, + "grad_norm": 0.283203125, + "learning_rate": 0.0029993988006644925, + "loss": 1.4072, + "step": 1095 + }, + { + "epoch": 0.09619546286112383, + "grad_norm": 0.142578125, + "learning_rate": 0.002999386078185924, + "loss": 1.3702, + "step": 1096 + }, + { + "epoch": 0.09628323244402633, + "grad_norm": 0.29296875, + "learning_rate": 0.002999373222528289, + "loss": 1.3838, + "step": 1097 + }, + { + "epoch": 0.0963710020269288, + "grad_norm": 0.310546875, + "learning_rate": 0.0029993602336928563, + "loss": 1.3674, + "step": 1098 + }, + { + "epoch": 0.0964587716098313, + "grad_norm": 0.142578125, + "learning_rate": 0.0029993471116809074, + "loss": 1.4215, + "step": 1099 + }, + { + "epoch": 0.09654654119273377, + "grad_norm": 0.2236328125, + "learning_rate": 0.0029993338564937378, + "loss": 1.3732, + "step": 1100 + }, + { + "epoch": 0.09663431077563626, + "grad_norm": 0.263671875, + "learning_rate": 0.0029993204681326557, + "loss": 1.3703, + "step": 1101 + }, + { + "epoch": 0.09672208035853874, + "grad_norm": 0.12890625, + "learning_rate": 0.002999306946598982, + "loss": 1.3311, + "step": 1102 + }, + { + "epoch": 0.09680984994144123, + "grad_norm": 0.1201171875, + "learning_rate": 0.002999293291894052, + "loss": 1.4013, + "step": 1103 + }, + { + "epoch": 0.09689761952434371, + "grad_norm": 0.11328125, + "learning_rate": 0.0029992795040192127, + "loss": 1.3463, + "step": 1104 + }, + { + "epoch": 0.0969853891072462, + "grad_norm": 0.16015625, + "learning_rate": 0.0029992655829758253, + "loss": 1.3948, + "step": 1105 + }, + { + "epoch": 0.09707315869014868, + "grad_norm": 0.1279296875, + "learning_rate": 0.002999251528765264, + "loss": 1.3679, + "step": 1106 + }, + { + "epoch": 0.09716092827305117, + "grad_norm": 0.130859375, + "learning_rate": 0.0029992373413889146, + "loss": 1.3756, + "step": 1107 + }, + { + "epoch": 0.09724869785595366, + "grad_norm": 0.12158203125, + "learning_rate": 0.0029992230208481787, + "loss": 1.4107, + "step": 1108 + }, + { + "epoch": 0.09733646743885614, + "grad_norm": 0.1142578125, + "learning_rate": 0.00299920856714447, + "loss": 1.3858, + "step": 1109 + }, + { + "epoch": 0.09742423702175863, + "grad_norm": 0.130859375, + "learning_rate": 0.002999193980279213, + "loss": 1.3736, + "step": 1110 + }, + { + "epoch": 0.09751200660466111, + "grad_norm": 0.1025390625, + "learning_rate": 0.0029991792602538495, + "loss": 1.4024, + "step": 1111 + }, + { + "epoch": 0.0975997761875636, + "grad_norm": 0.126953125, + "learning_rate": 0.0029991644070698317, + "loss": 1.342, + "step": 1112 + }, + { + "epoch": 0.09768754577046608, + "grad_norm": 0.1181640625, + "learning_rate": 0.0029991494207286247, + "loss": 1.3804, + "step": 1113 + }, + { + "epoch": 0.09777531535336857, + "grad_norm": 0.130859375, + "learning_rate": 0.002999134301231708, + "loss": 1.4002, + "step": 1114 + }, + { + "epoch": 0.09786308493627105, + "grad_norm": 0.150390625, + "learning_rate": 0.0029991190485805746, + "loss": 1.406, + "step": 1115 + }, + { + "epoch": 0.09795085451917354, + "grad_norm": 0.19921875, + "learning_rate": 0.0029991036627767293, + "loss": 1.4043, + "step": 1116 + }, + { + "epoch": 0.09803862410207602, + "grad_norm": 0.365234375, + "learning_rate": 0.0029990881438216902, + "loss": 1.3829, + "step": 1117 + }, + { + "epoch": 0.09812639368497851, + "grad_norm": 0.466796875, + "learning_rate": 0.00299907249171699, + "loss": 1.4053, + "step": 1118 + }, + { + "epoch": 0.098214163267881, + "grad_norm": 0.31640625, + "learning_rate": 0.0029990567064641723, + "loss": 1.4058, + "step": 1119 + }, + { + "epoch": 0.09830193285078348, + "grad_norm": 0.2353515625, + "learning_rate": 0.0029990407880647954, + "loss": 1.3976, + "step": 1120 + }, + { + "epoch": 0.09838970243368597, + "grad_norm": 0.275390625, + "learning_rate": 0.0029990247365204313, + "loss": 1.3871, + "step": 1121 + }, + { + "epoch": 0.09847747201658845, + "grad_norm": 0.19140625, + "learning_rate": 0.002999008551832663, + "loss": 1.3627, + "step": 1122 + }, + { + "epoch": 0.09856524159949094, + "grad_norm": 0.1611328125, + "learning_rate": 0.0029989922340030884, + "loss": 1.4073, + "step": 1123 + }, + { + "epoch": 0.09865301118239342, + "grad_norm": 0.205078125, + "learning_rate": 0.0029989757830333184, + "loss": 1.4222, + "step": 1124 + }, + { + "epoch": 0.09874078076529591, + "grad_norm": 0.26171875, + "learning_rate": 0.002998959198924976, + "loss": 1.416, + "step": 1125 + }, + { + "epoch": 0.09882855034819839, + "grad_norm": 0.162109375, + "learning_rate": 0.0029989424816796984, + "loss": 1.3457, + "step": 1126 + }, + { + "epoch": 0.09891631993110088, + "grad_norm": 0.244140625, + "learning_rate": 0.0029989256312991353, + "loss": 1.3658, + "step": 1127 + }, + { + "epoch": 0.09900408951400336, + "grad_norm": 0.1328125, + "learning_rate": 0.002998908647784949, + "loss": 1.4118, + "step": 1128 + }, + { + "epoch": 0.09909185909690585, + "grad_norm": 0.25, + "learning_rate": 0.002998891531138818, + "loss": 1.3455, + "step": 1129 + }, + { + "epoch": 0.09917962867980833, + "grad_norm": 0.150390625, + "learning_rate": 0.002998874281362429, + "loss": 1.3987, + "step": 1130 + }, + { + "epoch": 0.09926739826271082, + "grad_norm": 0.1220703125, + "learning_rate": 0.002998856898457486, + "loss": 1.3671, + "step": 1131 + }, + { + "epoch": 0.09935516784561331, + "grad_norm": 0.15625, + "learning_rate": 0.0029988393824257045, + "loss": 1.4391, + "step": 1132 + }, + { + "epoch": 0.09944293742851579, + "grad_norm": 0.146484375, + "learning_rate": 0.0029988217332688133, + "loss": 1.3633, + "step": 1133 + }, + { + "epoch": 0.09953070701141828, + "grad_norm": 0.1298828125, + "learning_rate": 0.0029988039509885535, + "loss": 1.3812, + "step": 1134 + }, + { + "epoch": 0.09961847659432076, + "grad_norm": 0.154296875, + "learning_rate": 0.002998786035586681, + "loss": 1.3976, + "step": 1135 + }, + { + "epoch": 0.09970624617722325, + "grad_norm": 0.1474609375, + "learning_rate": 0.0029987679870649635, + "loss": 1.3556, + "step": 1136 + }, + { + "epoch": 0.09979401576012573, + "grad_norm": 0.1181640625, + "learning_rate": 0.0029987498054251825, + "loss": 1.3307, + "step": 1137 + }, + { + "epoch": 0.09988178534302822, + "grad_norm": 0.1689453125, + "learning_rate": 0.0029987314906691326, + "loss": 1.3842, + "step": 1138 + }, + { + "epoch": 0.0999695549259307, + "grad_norm": 0.154296875, + "learning_rate": 0.0029987130427986206, + "loss": 1.3949, + "step": 1139 + }, + { + "epoch": 0.10005732450883319, + "grad_norm": 0.138671875, + "learning_rate": 0.0029986944618154688, + "loss": 1.4001, + "step": 1140 + }, + { + "epoch": 0.10014509409173566, + "grad_norm": 0.25, + "learning_rate": 0.0029986757477215094, + "loss": 1.3963, + "step": 1141 + }, + { + "epoch": 0.10023286367463816, + "grad_norm": 0.142578125, + "learning_rate": 0.0029986569005185904, + "loss": 1.3784, + "step": 1142 + }, + { + "epoch": 0.10032063325754065, + "grad_norm": 0.1904296875, + "learning_rate": 0.0029986379202085714, + "loss": 1.3445, + "step": 1143 + }, + { + "epoch": 0.10040840284044313, + "grad_norm": 0.224609375, + "learning_rate": 0.0029986188067933264, + "loss": 1.3893, + "step": 1144 + }, + { + "epoch": 0.10049617242334562, + "grad_norm": 0.1552734375, + "learning_rate": 0.0029985995602747413, + "loss": 1.3833, + "step": 1145 + }, + { + "epoch": 0.1005839420062481, + "grad_norm": 0.10595703125, + "learning_rate": 0.0029985801806547154, + "loss": 1.412, + "step": 1146 + }, + { + "epoch": 0.10067171158915059, + "grad_norm": 0.111328125, + "learning_rate": 0.002998560667935162, + "loss": 1.3944, + "step": 1147 + }, + { + "epoch": 0.10075948117205306, + "grad_norm": 0.12255859375, + "learning_rate": 0.002998541022118007, + "loss": 1.3138, + "step": 1148 + }, + { + "epoch": 0.10084725075495556, + "grad_norm": 0.1123046875, + "learning_rate": 0.0029985212432051883, + "loss": 1.383, + "step": 1149 + }, + { + "epoch": 0.10093502033785803, + "grad_norm": 0.099609375, + "learning_rate": 0.00299850133119866, + "loss": 1.293, + "step": 1150 + }, + { + "epoch": 0.10102278992076053, + "grad_norm": 0.09619140625, + "learning_rate": 0.002998481286100385, + "loss": 1.464, + "step": 1151 + }, + { + "epoch": 0.101110559503663, + "grad_norm": 0.1240234375, + "learning_rate": 0.0029984611079123427, + "loss": 1.3577, + "step": 1152 + }, + { + "epoch": 0.1011983290865655, + "grad_norm": 0.1337890625, + "learning_rate": 0.0029984407966365248, + "loss": 1.3531, + "step": 1153 + }, + { + "epoch": 0.10128609866946799, + "grad_norm": 0.1416015625, + "learning_rate": 0.002998420352274936, + "loss": 1.3539, + "step": 1154 + }, + { + "epoch": 0.10137386825237046, + "grad_norm": 0.1376953125, + "learning_rate": 0.0029983997748295934, + "loss": 1.4027, + "step": 1155 + }, + { + "epoch": 0.10146163783527296, + "grad_norm": 0.1474609375, + "learning_rate": 0.002998379064302529, + "loss": 1.3267, + "step": 1156 + }, + { + "epoch": 0.10154940741817543, + "grad_norm": 0.2021484375, + "learning_rate": 0.002998358220695786, + "loss": 1.3353, + "step": 1157 + }, + { + "epoch": 0.10163717700107792, + "grad_norm": 0.2177734375, + "learning_rate": 0.0029983372440114215, + "loss": 1.3713, + "step": 1158 + }, + { + "epoch": 0.1017249465839804, + "grad_norm": 0.24609375, + "learning_rate": 0.002998316134251506, + "loss": 1.3866, + "step": 1159 + }, + { + "epoch": 0.1018127161668829, + "grad_norm": 0.21875, + "learning_rate": 0.0029982948914181237, + "loss": 1.418, + "step": 1160 + }, + { + "epoch": 0.10190048574978537, + "grad_norm": 0.1328125, + "learning_rate": 0.00299827351551337, + "loss": 1.3636, + "step": 1161 + }, + { + "epoch": 0.10198825533268786, + "grad_norm": 0.1416015625, + "learning_rate": 0.0029982520065393557, + "loss": 1.3576, + "step": 1162 + }, + { + "epoch": 0.10207602491559034, + "grad_norm": 0.41796875, + "learning_rate": 0.0029982303644982026, + "loss": 1.406, + "step": 1163 + }, + { + "epoch": 0.10216379449849283, + "grad_norm": 0.1875, + "learning_rate": 0.0029982085893920474, + "loss": 1.4094, + "step": 1164 + }, + { + "epoch": 0.10225156408139531, + "grad_norm": 0.26171875, + "learning_rate": 0.0029981866812230393, + "loss": 1.3641, + "step": 1165 + }, + { + "epoch": 0.1023393336642978, + "grad_norm": 0.23828125, + "learning_rate": 0.0029981646399933402, + "loss": 1.3666, + "step": 1166 + }, + { + "epoch": 0.1024271032472003, + "grad_norm": 0.23046875, + "learning_rate": 0.002998142465705125, + "loss": 1.3237, + "step": 1167 + }, + { + "epoch": 0.10251487283010277, + "grad_norm": 0.150390625, + "learning_rate": 0.0029981201583605833, + "loss": 1.3855, + "step": 1168 + }, + { + "epoch": 0.10260264241300526, + "grad_norm": 0.12353515625, + "learning_rate": 0.002998097717961916, + "loss": 1.3694, + "step": 1169 + }, + { + "epoch": 0.10269041199590774, + "grad_norm": 0.119140625, + "learning_rate": 0.002998075144511338, + "loss": 1.4139, + "step": 1170 + }, + { + "epoch": 0.10277818157881023, + "grad_norm": 0.1396484375, + "learning_rate": 0.0029980524380110777, + "loss": 1.3603, + "step": 1171 + }, + { + "epoch": 0.10286595116171271, + "grad_norm": 0.1240234375, + "learning_rate": 0.0029980295984633754, + "loss": 1.3754, + "step": 1172 + }, + { + "epoch": 0.1029537207446152, + "grad_norm": 0.1435546875, + "learning_rate": 0.0029980066258704858, + "loss": 1.4013, + "step": 1173 + }, + { + "epoch": 0.10304149032751768, + "grad_norm": 0.2041015625, + "learning_rate": 0.0029979835202346757, + "loss": 1.3714, + "step": 1174 + }, + { + "epoch": 0.10312925991042017, + "grad_norm": 0.12158203125, + "learning_rate": 0.0029979602815582264, + "loss": 1.393, + "step": 1175 + }, + { + "epoch": 0.10321702949332265, + "grad_norm": 0.20703125, + "learning_rate": 0.0029979369098434307, + "loss": 1.371, + "step": 1176 + }, + { + "epoch": 0.10330479907622514, + "grad_norm": 0.2255859375, + "learning_rate": 0.0029979134050925954, + "loss": 1.3506, + "step": 1177 + }, + { + "epoch": 0.10339256865912763, + "grad_norm": 0.1337890625, + "learning_rate": 0.00299788976730804, + "loss": 1.3718, + "step": 1178 + }, + { + "epoch": 0.10348033824203011, + "grad_norm": 0.208984375, + "learning_rate": 0.0029978659964920986, + "loss": 1.3942, + "step": 1179 + }, + { + "epoch": 0.1035681078249326, + "grad_norm": 0.251953125, + "learning_rate": 0.0029978420926471167, + "loss": 1.3182, + "step": 1180 + }, + { + "epoch": 0.10365587740783508, + "grad_norm": 0.1220703125, + "learning_rate": 0.0029978180557754526, + "loss": 1.3925, + "step": 1181 + }, + { + "epoch": 0.10374364699073757, + "grad_norm": 0.1728515625, + "learning_rate": 0.00299779388587948, + "loss": 1.4286, + "step": 1182 + }, + { + "epoch": 0.10383141657364005, + "grad_norm": 0.10986328125, + "learning_rate": 0.0029977695829615835, + "loss": 1.3791, + "step": 1183 + }, + { + "epoch": 0.10391918615654254, + "grad_norm": 0.2177734375, + "learning_rate": 0.0029977451470241624, + "loss": 1.3654, + "step": 1184 + }, + { + "epoch": 0.10400695573944502, + "grad_norm": 0.19140625, + "learning_rate": 0.0029977205780696275, + "loss": 1.3322, + "step": 1185 + }, + { + "epoch": 0.10409472532234751, + "grad_norm": 0.16015625, + "learning_rate": 0.002997695876100405, + "loss": 1.3478, + "step": 1186 + }, + { + "epoch": 0.10418249490524999, + "grad_norm": 0.189453125, + "learning_rate": 0.0029976710411189315, + "loss": 1.4218, + "step": 1187 + }, + { + "epoch": 0.10427026448815248, + "grad_norm": 0.18359375, + "learning_rate": 0.002997646073127659, + "loss": 1.4149, + "step": 1188 + }, + { + "epoch": 0.10435803407105497, + "grad_norm": 0.251953125, + "learning_rate": 0.002997620972129051, + "loss": 1.386, + "step": 1189 + }, + { + "epoch": 0.10444580365395745, + "grad_norm": 0.1962890625, + "learning_rate": 0.0029975957381255863, + "loss": 1.3308, + "step": 1190 + }, + { + "epoch": 0.10453357323685994, + "grad_norm": 0.177734375, + "learning_rate": 0.0029975703711197536, + "loss": 1.3653, + "step": 1191 + }, + { + "epoch": 0.10462134281976242, + "grad_norm": 0.1328125, + "learning_rate": 0.002997544871114057, + "loss": 1.3197, + "step": 1192 + }, + { + "epoch": 0.10470911240266491, + "grad_norm": 0.1962890625, + "learning_rate": 0.002997519238111014, + "loss": 1.3795, + "step": 1193 + }, + { + "epoch": 0.10479688198556739, + "grad_norm": 0.26953125, + "learning_rate": 0.0029974934721131545, + "loss": 1.3968, + "step": 1194 + }, + { + "epoch": 0.10488465156846988, + "grad_norm": 0.302734375, + "learning_rate": 0.0029974675731230206, + "loss": 1.358, + "step": 1195 + }, + { + "epoch": 0.10497242115137236, + "grad_norm": 0.232421875, + "learning_rate": 0.002997441541143169, + "loss": 1.3964, + "step": 1196 + }, + { + "epoch": 0.10506019073427485, + "grad_norm": 0.2177734375, + "learning_rate": 0.002997415376176169, + "loss": 1.3614, + "step": 1197 + }, + { + "epoch": 0.10514796031717732, + "grad_norm": 0.2236328125, + "learning_rate": 0.0029973890782246026, + "loss": 1.358, + "step": 1198 + }, + { + "epoch": 0.10523572990007982, + "grad_norm": 0.1494140625, + "learning_rate": 0.0029973626472910657, + "loss": 1.384, + "step": 1199 + }, + { + "epoch": 0.1053234994829823, + "grad_norm": 0.1767578125, + "learning_rate": 0.002997336083378167, + "loss": 1.401, + "step": 1200 + }, + { + "epoch": 0.10541126906588479, + "grad_norm": 0.1533203125, + "learning_rate": 0.002997309386488527, + "loss": 1.3944, + "step": 1201 + }, + { + "epoch": 0.10549903864878728, + "grad_norm": 0.1484375, + "learning_rate": 0.0029972825566247823, + "loss": 1.4017, + "step": 1202 + }, + { + "epoch": 0.10558680823168975, + "grad_norm": 0.20703125, + "learning_rate": 0.0029972555937895803, + "loss": 1.3158, + "step": 1203 + }, + { + "epoch": 0.10567457781459225, + "grad_norm": 0.21484375, + "learning_rate": 0.002997228497985582, + "loss": 1.4139, + "step": 1204 + }, + { + "epoch": 0.10576234739749472, + "grad_norm": 0.1015625, + "learning_rate": 0.0029972012692154612, + "loss": 1.3973, + "step": 1205 + }, + { + "epoch": 0.10585011698039722, + "grad_norm": 0.1767578125, + "learning_rate": 0.0029971739074819066, + "loss": 1.3658, + "step": 1206 + }, + { + "epoch": 0.1059378865632997, + "grad_norm": 0.10205078125, + "learning_rate": 0.002997146412787617, + "loss": 1.3152, + "step": 1207 + }, + { + "epoch": 0.10602565614620219, + "grad_norm": 0.28515625, + "learning_rate": 0.0029971187851353075, + "loss": 1.4202, + "step": 1208 + }, + { + "epoch": 0.10611342572910466, + "grad_norm": 0.3125, + "learning_rate": 0.0029970910245277036, + "loss": 1.3919, + "step": 1209 + }, + { + "epoch": 0.10620119531200715, + "grad_norm": 0.107421875, + "learning_rate": 0.002997063130967546, + "loss": 1.3949, + "step": 1210 + }, + { + "epoch": 0.10628896489490963, + "grad_norm": 0.2578125, + "learning_rate": 0.0029970351044575874, + "loss": 1.3882, + "step": 1211 + }, + { + "epoch": 0.10637673447781212, + "grad_norm": 0.1923828125, + "learning_rate": 0.002997006945000594, + "loss": 1.3757, + "step": 1212 + }, + { + "epoch": 0.10646450406071462, + "grad_norm": 0.1259765625, + "learning_rate": 0.0029969786525993448, + "loss": 1.4256, + "step": 1213 + }, + { + "epoch": 0.1065522736436171, + "grad_norm": 0.2255859375, + "learning_rate": 0.0029969502272566327, + "loss": 1.4044, + "step": 1214 + }, + { + "epoch": 0.10664004322651958, + "grad_norm": 0.154296875, + "learning_rate": 0.0029969216689752624, + "loss": 1.4365, + "step": 1215 + }, + { + "epoch": 0.10672781280942206, + "grad_norm": 0.169921875, + "learning_rate": 0.0029968929777580526, + "loss": 1.3836, + "step": 1216 + }, + { + "epoch": 0.10681558239232455, + "grad_norm": 0.21875, + "learning_rate": 0.002996864153607836, + "loss": 1.3908, + "step": 1217 + }, + { + "epoch": 0.10690335197522703, + "grad_norm": 0.09912109375, + "learning_rate": 0.0029968351965274564, + "loss": 1.3522, + "step": 1218 + }, + { + "epoch": 0.10699112155812952, + "grad_norm": 0.1513671875, + "learning_rate": 0.0029968061065197725, + "loss": 1.391, + "step": 1219 + }, + { + "epoch": 0.107078891141032, + "grad_norm": 0.107421875, + "learning_rate": 0.002996776883587654, + "loss": 1.389, + "step": 1220 + }, + { + "epoch": 0.10716666072393449, + "grad_norm": 0.173828125, + "learning_rate": 0.0029967475277339864, + "loss": 1.376, + "step": 1221 + }, + { + "epoch": 0.10725443030683697, + "grad_norm": 0.1748046875, + "learning_rate": 0.002996718038961667, + "loss": 1.3482, + "step": 1222 + }, + { + "epoch": 0.10734219988973946, + "grad_norm": 0.1337890625, + "learning_rate": 0.0029966884172736054, + "loss": 1.3258, + "step": 1223 + }, + { + "epoch": 0.10742996947264195, + "grad_norm": 0.12890625, + "learning_rate": 0.002996658662672726, + "loss": 1.3769, + "step": 1224 + }, + { + "epoch": 0.10751773905554443, + "grad_norm": 0.169921875, + "learning_rate": 0.0029966287751619644, + "loss": 1.3529, + "step": 1225 + }, + { + "epoch": 0.10760550863844692, + "grad_norm": 0.11328125, + "learning_rate": 0.0029965987547442715, + "loss": 1.3632, + "step": 1226 + }, + { + "epoch": 0.1076932782213494, + "grad_norm": 0.123046875, + "learning_rate": 0.00299656860142261, + "loss": 1.3678, + "step": 1227 + }, + { + "epoch": 0.10778104780425189, + "grad_norm": 0.1513671875, + "learning_rate": 0.002996538315199955, + "loss": 1.302, + "step": 1228 + }, + { + "epoch": 0.10786881738715437, + "grad_norm": 0.109375, + "learning_rate": 0.002996507896079297, + "loss": 1.4266, + "step": 1229 + }, + { + "epoch": 0.10795658697005686, + "grad_norm": 0.1455078125, + "learning_rate": 0.002996477344063637, + "loss": 1.3641, + "step": 1230 + }, + { + "epoch": 0.10804435655295934, + "grad_norm": 0.1787109375, + "learning_rate": 0.002996446659155991, + "loss": 1.3934, + "step": 1231 + }, + { + "epoch": 0.10813212613586183, + "grad_norm": 0.19140625, + "learning_rate": 0.002996415841359387, + "loss": 1.3668, + "step": 1232 + }, + { + "epoch": 0.10821989571876431, + "grad_norm": 0.14453125, + "learning_rate": 0.0029963848906768677, + "loss": 1.445, + "step": 1233 + }, + { + "epoch": 0.1083076653016668, + "grad_norm": 0.150390625, + "learning_rate": 0.0029963538071114864, + "loss": 1.3484, + "step": 1234 + }, + { + "epoch": 0.10839543488456928, + "grad_norm": 0.2021484375, + "learning_rate": 0.002996322590666312, + "loss": 1.3515, + "step": 1235 + }, + { + "epoch": 0.10848320446747177, + "grad_norm": 0.1162109375, + "learning_rate": 0.002996291241344425, + "loss": 1.3772, + "step": 1236 + }, + { + "epoch": 0.10857097405037426, + "grad_norm": 0.1298828125, + "learning_rate": 0.0029962597591489198, + "loss": 1.38, + "step": 1237 + }, + { + "epoch": 0.10865874363327674, + "grad_norm": 0.1181640625, + "learning_rate": 0.002996228144082903, + "loss": 1.435, + "step": 1238 + }, + { + "epoch": 0.10874651321617923, + "grad_norm": 0.13671875, + "learning_rate": 0.0029961963961494947, + "loss": 1.4508, + "step": 1239 + }, + { + "epoch": 0.10883428279908171, + "grad_norm": 0.162109375, + "learning_rate": 0.002996164515351829, + "loss": 1.3645, + "step": 1240 + }, + { + "epoch": 0.1089220523819842, + "grad_norm": 0.263671875, + "learning_rate": 0.002996132501693052, + "loss": 1.3712, + "step": 1241 + }, + { + "epoch": 0.10900982196488668, + "grad_norm": 0.2412109375, + "learning_rate": 0.0029961003551763235, + "loss": 1.3633, + "step": 1242 + }, + { + "epoch": 0.10909759154778917, + "grad_norm": 0.171875, + "learning_rate": 0.0029960680758048166, + "loss": 1.3638, + "step": 1243 + }, + { + "epoch": 0.10918536113069165, + "grad_norm": 0.150390625, + "learning_rate": 0.0029960356635817162, + "loss": 1.3499, + "step": 1244 + }, + { + "epoch": 0.10927313071359414, + "grad_norm": 0.1279296875, + "learning_rate": 0.002996003118510222, + "loss": 1.3687, + "step": 1245 + }, + { + "epoch": 0.10936090029649662, + "grad_norm": 0.1298828125, + "learning_rate": 0.002995970440593546, + "loss": 1.3434, + "step": 1246 + }, + { + "epoch": 0.10944866987939911, + "grad_norm": 0.15234375, + "learning_rate": 0.0029959376298349136, + "loss": 1.3438, + "step": 1247 + }, + { + "epoch": 0.1095364394623016, + "grad_norm": 0.20703125, + "learning_rate": 0.002995904686237562, + "loss": 1.3487, + "step": 1248 + }, + { + "epoch": 0.10962420904520408, + "grad_norm": 0.12353515625, + "learning_rate": 0.0029958716098047434, + "loss": 1.3443, + "step": 1249 + }, + { + "epoch": 0.10971197862810657, + "grad_norm": 0.11767578125, + "learning_rate": 0.0029958384005397227, + "loss": 1.4267, + "step": 1250 + }, + { + "epoch": 0.10979974821100905, + "grad_norm": 0.140625, + "learning_rate": 0.002995805058445777, + "loss": 1.4072, + "step": 1251 + }, + { + "epoch": 0.10988751779391154, + "grad_norm": 0.240234375, + "learning_rate": 0.002995771583526197, + "loss": 1.4223, + "step": 1252 + }, + { + "epoch": 0.10997528737681402, + "grad_norm": 0.302734375, + "learning_rate": 0.0029957379757842868, + "loss": 1.4047, + "step": 1253 + }, + { + "epoch": 0.11006305695971651, + "grad_norm": 0.1796875, + "learning_rate": 0.0029957042352233634, + "loss": 1.3857, + "step": 1254 + }, + { + "epoch": 0.11015082654261898, + "grad_norm": 0.1591796875, + "learning_rate": 0.002995670361846756, + "loss": 1.3768, + "step": 1255 + }, + { + "epoch": 0.11023859612552148, + "grad_norm": 0.2109375, + "learning_rate": 0.0029956363556578086, + "loss": 1.3833, + "step": 1256 + }, + { + "epoch": 0.11032636570842395, + "grad_norm": 0.19140625, + "learning_rate": 0.0029956022166598775, + "loss": 1.3569, + "step": 1257 + }, + { + "epoch": 0.11041413529132645, + "grad_norm": 0.1572265625, + "learning_rate": 0.0029955679448563323, + "loss": 1.3996, + "step": 1258 + }, + { + "epoch": 0.11050190487422894, + "grad_norm": 0.28515625, + "learning_rate": 0.0029955335402505547, + "loss": 1.3399, + "step": 1259 + }, + { + "epoch": 0.11058967445713141, + "grad_norm": 0.279296875, + "learning_rate": 0.00299549900284594, + "loss": 1.4107, + "step": 1260 + }, + { + "epoch": 0.1106774440400339, + "grad_norm": 0.12890625, + "learning_rate": 0.002995464332645899, + "loss": 1.3458, + "step": 1261 + }, + { + "epoch": 0.11076521362293638, + "grad_norm": 0.2021484375, + "learning_rate": 0.0029954295296538507, + "loss": 1.2937, + "step": 1262 + }, + { + "epoch": 0.11085298320583888, + "grad_norm": 0.15625, + "learning_rate": 0.0029953945938732325, + "loss": 1.3608, + "step": 1263 + }, + { + "epoch": 0.11094075278874135, + "grad_norm": 0.1416015625, + "learning_rate": 0.002995359525307491, + "loss": 1.463, + "step": 1264 + }, + { + "epoch": 0.11102852237164385, + "grad_norm": 0.08740234375, + "learning_rate": 0.0029953243239600872, + "loss": 1.4157, + "step": 1265 + }, + { + "epoch": 0.11111629195454632, + "grad_norm": 0.2890625, + "learning_rate": 0.0029952889898344965, + "loss": 1.3454, + "step": 1266 + }, + { + "epoch": 0.11120406153744881, + "grad_norm": 0.12890625, + "learning_rate": 0.0029952535229342053, + "loss": 1.379, + "step": 1267 + }, + { + "epoch": 0.11129183112035129, + "grad_norm": 0.11572265625, + "learning_rate": 0.002995217923262714, + "loss": 1.3982, + "step": 1268 + }, + { + "epoch": 0.11137960070325378, + "grad_norm": 0.11279296875, + "learning_rate": 0.0029951821908235365, + "loss": 1.3906, + "step": 1269 + }, + { + "epoch": 0.11146737028615626, + "grad_norm": 0.1220703125, + "learning_rate": 0.0029951463256201994, + "loss": 1.3601, + "step": 1270 + }, + { + "epoch": 0.11155513986905875, + "grad_norm": 0.1396484375, + "learning_rate": 0.0029951103276562433, + "loss": 1.3265, + "step": 1271 + }, + { + "epoch": 0.11164290945196124, + "grad_norm": 0.2001953125, + "learning_rate": 0.002995074196935219, + "loss": 1.3922, + "step": 1272 + }, + { + "epoch": 0.11173067903486372, + "grad_norm": 0.0986328125, + "learning_rate": 0.002995037933460694, + "loss": 1.3893, + "step": 1273 + }, + { + "epoch": 0.11181844861776621, + "grad_norm": 0.150390625, + "learning_rate": 0.0029950015372362474, + "loss": 1.3614, + "step": 1274 + }, + { + "epoch": 0.11190621820066869, + "grad_norm": 0.130859375, + "learning_rate": 0.002994965008265471, + "loss": 1.3425, + "step": 1275 + }, + { + "epoch": 0.11199398778357118, + "grad_norm": 0.166015625, + "learning_rate": 0.00299492834655197, + "loss": 1.329, + "step": 1276 + }, + { + "epoch": 0.11208175736647366, + "grad_norm": 0.201171875, + "learning_rate": 0.002994891552099362, + "loss": 1.3674, + "step": 1277 + }, + { + "epoch": 0.11216952694937615, + "grad_norm": 0.201171875, + "learning_rate": 0.0029948546249112798, + "loss": 1.3518, + "step": 1278 + }, + { + "epoch": 0.11225729653227863, + "grad_norm": 0.248046875, + "learning_rate": 0.002994817564991368, + "loss": 1.3763, + "step": 1279 + }, + { + "epoch": 0.11234506611518112, + "grad_norm": 0.1865234375, + "learning_rate": 0.002994780372343283, + "loss": 1.3855, + "step": 1280 + }, + { + "epoch": 0.1124328356980836, + "grad_norm": 0.10302734375, + "learning_rate": 0.0029947430469706962, + "loss": 1.3847, + "step": 1281 + }, + { + "epoch": 0.11252060528098609, + "grad_norm": 0.181640625, + "learning_rate": 0.002994705588877292, + "loss": 1.3432, + "step": 1282 + }, + { + "epoch": 0.11260837486388858, + "grad_norm": 0.19921875, + "learning_rate": 0.0029946679980667667, + "loss": 1.3996, + "step": 1283 + }, + { + "epoch": 0.11269614444679106, + "grad_norm": 0.1650390625, + "learning_rate": 0.0029946302745428306, + "loss": 1.3817, + "step": 1284 + }, + { + "epoch": 0.11278391402969355, + "grad_norm": 0.1962890625, + "learning_rate": 0.0029945924183092066, + "loss": 1.3386, + "step": 1285 + }, + { + "epoch": 0.11287168361259603, + "grad_norm": 0.20703125, + "learning_rate": 0.002994554429369632, + "loss": 1.4025, + "step": 1286 + }, + { + "epoch": 0.11295945319549852, + "grad_norm": 0.1083984375, + "learning_rate": 0.002994516307727855, + "loss": 1.3984, + "step": 1287 + }, + { + "epoch": 0.113047222778401, + "grad_norm": 0.203125, + "learning_rate": 0.0029944780533876377, + "loss": 1.3728, + "step": 1288 + }, + { + "epoch": 0.11313499236130349, + "grad_norm": 0.1494140625, + "learning_rate": 0.0029944396663527566, + "loss": 1.3559, + "step": 1289 + }, + { + "epoch": 0.11322276194420597, + "grad_norm": 0.11474609375, + "learning_rate": 0.0029944011466270007, + "loss": 1.3149, + "step": 1290 + }, + { + "epoch": 0.11331053152710846, + "grad_norm": 0.1357421875, + "learning_rate": 0.0029943624942141704, + "loss": 1.3477, + "step": 1291 + }, + { + "epoch": 0.11339830111001094, + "grad_norm": 0.1083984375, + "learning_rate": 0.002994323709118082, + "loss": 1.3523, + "step": 1292 + }, + { + "epoch": 0.11348607069291343, + "grad_norm": 0.1376953125, + "learning_rate": 0.002994284791342563, + "loss": 1.3462, + "step": 1293 + }, + { + "epoch": 0.11357384027581592, + "grad_norm": 0.154296875, + "learning_rate": 0.0029942457408914536, + "loss": 1.3958, + "step": 1294 + }, + { + "epoch": 0.1136616098587184, + "grad_norm": 0.12890625, + "learning_rate": 0.0029942065577686083, + "loss": 1.3697, + "step": 1295 + }, + { + "epoch": 0.11374937944162089, + "grad_norm": 0.125, + "learning_rate": 0.0029941672419778946, + "loss": 1.3842, + "step": 1296 + }, + { + "epoch": 0.11383714902452337, + "grad_norm": 0.146484375, + "learning_rate": 0.0029941277935231925, + "loss": 1.3605, + "step": 1297 + }, + { + "epoch": 0.11392491860742586, + "grad_norm": 0.2177734375, + "learning_rate": 0.002994088212408396, + "loss": 1.4183, + "step": 1298 + }, + { + "epoch": 0.11401268819032834, + "grad_norm": 0.11474609375, + "learning_rate": 0.0029940484986374113, + "loss": 1.4284, + "step": 1299 + }, + { + "epoch": 0.11410045777323083, + "grad_norm": 0.158203125, + "learning_rate": 0.0029940086522141584, + "loss": 1.3648, + "step": 1300 + }, + { + "epoch": 0.1141882273561333, + "grad_norm": 0.1171875, + "learning_rate": 0.0029939686731425682, + "loss": 1.4495, + "step": 1301 + }, + { + "epoch": 0.1142759969390358, + "grad_norm": 0.1044921875, + "learning_rate": 0.0029939285614265887, + "loss": 1.3307, + "step": 1302 + }, + { + "epoch": 0.11436376652193828, + "grad_norm": 0.1376953125, + "learning_rate": 0.002993888317070178, + "loss": 1.3453, + "step": 1303 + }, + { + "epoch": 0.11445153610484077, + "grad_norm": 0.09619140625, + "learning_rate": 0.0029938479400773072, + "loss": 1.3246, + "step": 1304 + }, + { + "epoch": 0.11453930568774325, + "grad_norm": 0.14453125, + "learning_rate": 0.002993807430451963, + "loss": 1.3524, + "step": 1305 + }, + { + "epoch": 0.11462707527064574, + "grad_norm": 0.1328125, + "learning_rate": 0.0029937667881981414, + "loss": 1.3968, + "step": 1306 + }, + { + "epoch": 0.11471484485354823, + "grad_norm": 0.1435546875, + "learning_rate": 0.0029937260133198556, + "loss": 1.3437, + "step": 1307 + }, + { + "epoch": 0.1148026144364507, + "grad_norm": 0.255859375, + "learning_rate": 0.002993685105821129, + "loss": 1.4529, + "step": 1308 + }, + { + "epoch": 0.1148903840193532, + "grad_norm": 0.2314453125, + "learning_rate": 0.002993644065705999, + "loss": 1.3231, + "step": 1309 + }, + { + "epoch": 0.11497815360225568, + "grad_norm": 0.134765625, + "learning_rate": 0.0029936028929785164, + "loss": 1.4442, + "step": 1310 + }, + { + "epoch": 0.11506592318515817, + "grad_norm": 0.126953125, + "learning_rate": 0.0029935615876427444, + "loss": 1.3429, + "step": 1311 + }, + { + "epoch": 0.11515369276806064, + "grad_norm": 0.2021484375, + "learning_rate": 0.00299352014970276, + "loss": 1.3844, + "step": 1312 + }, + { + "epoch": 0.11524146235096314, + "grad_norm": 0.11328125, + "learning_rate": 0.0029934785791626527, + "loss": 1.3531, + "step": 1313 + }, + { + "epoch": 0.11532923193386561, + "grad_norm": 0.23046875, + "learning_rate": 0.002993436876026526, + "loss": 1.3314, + "step": 1314 + }, + { + "epoch": 0.1154170015167681, + "grad_norm": 0.228515625, + "learning_rate": 0.0029933950402984957, + "loss": 1.3913, + "step": 1315 + }, + { + "epoch": 0.11550477109967058, + "grad_norm": 0.1171875, + "learning_rate": 0.002993353071982689, + "loss": 1.4322, + "step": 1316 + }, + { + "epoch": 0.11559254068257308, + "grad_norm": 0.2890625, + "learning_rate": 0.0029933109710832506, + "loss": 1.3768, + "step": 1317 + }, + { + "epoch": 0.11568031026547557, + "grad_norm": 0.1650390625, + "learning_rate": 0.0029932687376043347, + "loss": 1.3952, + "step": 1318 + }, + { + "epoch": 0.11576807984837804, + "grad_norm": 0.1279296875, + "learning_rate": 0.0029932263715501087, + "loss": 1.3741, + "step": 1319 + }, + { + "epoch": 0.11585584943128054, + "grad_norm": 0.1962890625, + "learning_rate": 0.0029931838729247554, + "loss": 1.4054, + "step": 1320 + }, + { + "epoch": 0.11594361901418301, + "grad_norm": 0.1630859375, + "learning_rate": 0.0029931412417324678, + "loss": 1.3497, + "step": 1321 + }, + { + "epoch": 0.1160313885970855, + "grad_norm": 0.1865234375, + "learning_rate": 0.002993098477977455, + "loss": 1.404, + "step": 1322 + }, + { + "epoch": 0.11611915817998798, + "grad_norm": 0.2099609375, + "learning_rate": 0.0029930555816639363, + "loss": 1.4049, + "step": 1323 + }, + { + "epoch": 0.11620692776289047, + "grad_norm": 0.11865234375, + "learning_rate": 0.002993012552796146, + "loss": 1.3405, + "step": 1324 + }, + { + "epoch": 0.11629469734579295, + "grad_norm": 0.1474609375, + "learning_rate": 0.002992969391378331, + "loss": 1.3917, + "step": 1325 + }, + { + "epoch": 0.11638246692869544, + "grad_norm": 0.1123046875, + "learning_rate": 0.0029929260974147502, + "loss": 1.396, + "step": 1326 + }, + { + "epoch": 0.11647023651159792, + "grad_norm": 0.11962890625, + "learning_rate": 0.002992882670909678, + "loss": 1.3071, + "step": 1327 + }, + { + "epoch": 0.11655800609450041, + "grad_norm": 0.115234375, + "learning_rate": 0.002992839111867399, + "loss": 1.3579, + "step": 1328 + }, + { + "epoch": 0.1166457756774029, + "grad_norm": 0.11474609375, + "learning_rate": 0.002992795420292214, + "loss": 1.3896, + "step": 1329 + }, + { + "epoch": 0.11673354526030538, + "grad_norm": 0.1025390625, + "learning_rate": 0.0029927515961884338, + "loss": 1.3201, + "step": 1330 + }, + { + "epoch": 0.11682131484320787, + "grad_norm": 0.11181640625, + "learning_rate": 0.002992707639560384, + "loss": 1.3282, + "step": 1331 + }, + { + "epoch": 0.11690908442611035, + "grad_norm": 0.109375, + "learning_rate": 0.0029926635504124027, + "loss": 1.3491, + "step": 1332 + }, + { + "epoch": 0.11699685400901284, + "grad_norm": 0.11376953125, + "learning_rate": 0.002992619328748842, + "loss": 1.4268, + "step": 1333 + }, + { + "epoch": 0.11708462359191532, + "grad_norm": 0.11376953125, + "learning_rate": 0.002992574974574066, + "loss": 1.3757, + "step": 1334 + }, + { + "epoch": 0.11717239317481781, + "grad_norm": 0.1435546875, + "learning_rate": 0.002992530487892452, + "loss": 1.3592, + "step": 1335 + }, + { + "epoch": 0.11726016275772029, + "grad_norm": 0.119140625, + "learning_rate": 0.0029924858687083913, + "loss": 1.349, + "step": 1336 + }, + { + "epoch": 0.11734793234062278, + "grad_norm": 0.15234375, + "learning_rate": 0.002992441117026287, + "loss": 1.367, + "step": 1337 + }, + { + "epoch": 0.11743570192352526, + "grad_norm": 0.1591796875, + "learning_rate": 0.0029923962328505566, + "loss": 1.3852, + "step": 1338 + }, + { + "epoch": 0.11752347150642775, + "grad_norm": 0.134765625, + "learning_rate": 0.0029923512161856296, + "loss": 1.3678, + "step": 1339 + }, + { + "epoch": 0.11761124108933023, + "grad_norm": 0.12890625, + "learning_rate": 0.0029923060670359485, + "loss": 1.3732, + "step": 1340 + }, + { + "epoch": 0.11769901067223272, + "grad_norm": 0.2001953125, + "learning_rate": 0.00299226078540597, + "loss": 1.3959, + "step": 1341 + }, + { + "epoch": 0.11778678025513521, + "grad_norm": 0.2109375, + "learning_rate": 0.0029922153713001633, + "loss": 1.3595, + "step": 1342 + }, + { + "epoch": 0.11787454983803769, + "grad_norm": 0.123046875, + "learning_rate": 0.0029921698247230106, + "loss": 1.3821, + "step": 1343 + }, + { + "epoch": 0.11796231942094018, + "grad_norm": 0.1396484375, + "learning_rate": 0.0029921241456790063, + "loss": 1.3625, + "step": 1344 + }, + { + "epoch": 0.11805008900384266, + "grad_norm": 0.1748046875, + "learning_rate": 0.0029920783341726596, + "loss": 1.4052, + "step": 1345 + }, + { + "epoch": 0.11813785858674515, + "grad_norm": 0.10888671875, + "learning_rate": 0.0029920323902084918, + "loss": 1.3745, + "step": 1346 + }, + { + "epoch": 0.11822562816964763, + "grad_norm": 0.1259765625, + "learning_rate": 0.0029919863137910364, + "loss": 1.3355, + "step": 1347 + }, + { + "epoch": 0.11831339775255012, + "grad_norm": 0.158203125, + "learning_rate": 0.002991940104924843, + "loss": 1.3472, + "step": 1348 + }, + { + "epoch": 0.1184011673354526, + "grad_norm": 0.16015625, + "learning_rate": 0.00299189376361447, + "loss": 1.3406, + "step": 1349 + }, + { + "epoch": 0.11848893691835509, + "grad_norm": 0.10400390625, + "learning_rate": 0.002991847289864493, + "loss": 1.3594, + "step": 1350 + }, + { + "epoch": 0.11857670650125757, + "grad_norm": 0.208984375, + "learning_rate": 0.0029918006836794973, + "loss": 1.3208, + "step": 1351 + }, + { + "epoch": 0.11866447608416006, + "grad_norm": 0.169921875, + "learning_rate": 0.0029917539450640836, + "loss": 1.3718, + "step": 1352 + }, + { + "epoch": 0.11875224566706255, + "grad_norm": 0.08642578125, + "learning_rate": 0.0029917070740228644, + "loss": 1.3373, + "step": 1353 + }, + { + "epoch": 0.11884001524996503, + "grad_norm": 0.0908203125, + "learning_rate": 0.002991660070560466, + "loss": 1.3994, + "step": 1354 + }, + { + "epoch": 0.11892778483286752, + "grad_norm": 0.130859375, + "learning_rate": 0.0029916129346815273, + "loss": 1.3803, + "step": 1355 + }, + { + "epoch": 0.11901555441577, + "grad_norm": 0.20703125, + "learning_rate": 0.0029915656663907003, + "loss": 1.3329, + "step": 1356 + }, + { + "epoch": 0.11910332399867249, + "grad_norm": 0.2578125, + "learning_rate": 0.0029915182656926505, + "loss": 1.3175, + "step": 1357 + }, + { + "epoch": 0.11919109358157497, + "grad_norm": 0.212890625, + "learning_rate": 0.0029914707325920564, + "loss": 1.3346, + "step": 1358 + }, + { + "epoch": 0.11927886316447746, + "grad_norm": 0.30078125, + "learning_rate": 0.0029914230670936084, + "loss": 1.3422, + "step": 1359 + }, + { + "epoch": 0.11936663274737994, + "grad_norm": 0.1875, + "learning_rate": 0.0029913752692020115, + "loss": 1.3332, + "step": 1360 + }, + { + "epoch": 0.11945440233028243, + "grad_norm": 0.2021484375, + "learning_rate": 0.002991327338921983, + "loss": 1.3248, + "step": 1361 + }, + { + "epoch": 0.1195421719131849, + "grad_norm": 0.1728515625, + "learning_rate": 0.0029912792762582536, + "loss": 1.3769, + "step": 1362 + }, + { + "epoch": 0.1196299414960874, + "grad_norm": 0.1103515625, + "learning_rate": 0.002991231081215567, + "loss": 1.3756, + "step": 1363 + }, + { + "epoch": 0.11971771107898989, + "grad_norm": 0.146484375, + "learning_rate": 0.0029911827537986795, + "loss": 1.362, + "step": 1364 + }, + { + "epoch": 0.11980548066189237, + "grad_norm": 0.09912109375, + "learning_rate": 0.002991134294012361, + "loss": 1.3265, + "step": 1365 + }, + { + "epoch": 0.11989325024479486, + "grad_norm": 0.2060546875, + "learning_rate": 0.002991085701861394, + "loss": 1.3849, + "step": 1366 + }, + { + "epoch": 0.11998101982769734, + "grad_norm": 0.1845703125, + "learning_rate": 0.0029910369773505753, + "loss": 1.3654, + "step": 1367 + }, + { + "epoch": 0.12006878941059983, + "grad_norm": 0.150390625, + "learning_rate": 0.0029909881204847125, + "loss": 1.3789, + "step": 1368 + }, + { + "epoch": 0.1201565589935023, + "grad_norm": 0.27734375, + "learning_rate": 0.002990939131268629, + "loss": 1.3777, + "step": 1369 + }, + { + "epoch": 0.1202443285764048, + "grad_norm": 0.12060546875, + "learning_rate": 0.002990890009707158, + "loss": 1.3323, + "step": 1370 + }, + { + "epoch": 0.12033209815930727, + "grad_norm": 0.203125, + "learning_rate": 0.0029908407558051496, + "loss": 1.3274, + "step": 1371 + }, + { + "epoch": 0.12041986774220977, + "grad_norm": 0.1904296875, + "learning_rate": 0.002990791369567464, + "loss": 1.3721, + "step": 1372 + }, + { + "epoch": 0.12050763732511224, + "grad_norm": 0.11669921875, + "learning_rate": 0.0029907418509989747, + "loss": 1.3789, + "step": 1373 + }, + { + "epoch": 0.12059540690801474, + "grad_norm": 0.1748046875, + "learning_rate": 0.00299069220010457, + "loss": 1.3182, + "step": 1374 + }, + { + "epoch": 0.12068317649091721, + "grad_norm": 0.1123046875, + "learning_rate": 0.0029906424168891508, + "loss": 1.3797, + "step": 1375 + }, + { + "epoch": 0.1207709460738197, + "grad_norm": 0.1669921875, + "learning_rate": 0.002990592501357629, + "loss": 1.4241, + "step": 1376 + }, + { + "epoch": 0.1208587156567222, + "grad_norm": 0.1103515625, + "learning_rate": 0.002990542453514932, + "loss": 1.4091, + "step": 1377 + }, + { + "epoch": 0.12094648523962467, + "grad_norm": 0.10546875, + "learning_rate": 0.0029904922733659987, + "loss": 1.3258, + "step": 1378 + }, + { + "epoch": 0.12103425482252717, + "grad_norm": 0.09228515625, + "learning_rate": 0.0029904419609157826, + "loss": 1.3287, + "step": 1379 + }, + { + "epoch": 0.12112202440542964, + "grad_norm": 0.1162109375, + "learning_rate": 0.0029903915161692486, + "loss": 1.3019, + "step": 1380 + }, + { + "epoch": 0.12120979398833213, + "grad_norm": 0.1298828125, + "learning_rate": 0.0029903409391313753, + "loss": 1.3934, + "step": 1381 + }, + { + "epoch": 0.12129756357123461, + "grad_norm": 0.12255859375, + "learning_rate": 0.002990290229807155, + "loss": 1.3374, + "step": 1382 + }, + { + "epoch": 0.1213853331541371, + "grad_norm": 0.1025390625, + "learning_rate": 0.0029902393882015924, + "loss": 1.3759, + "step": 1383 + }, + { + "epoch": 0.12147310273703958, + "grad_norm": 0.1005859375, + "learning_rate": 0.0029901884143197057, + "loss": 1.3208, + "step": 1384 + }, + { + "epoch": 0.12156087231994207, + "grad_norm": 0.11279296875, + "learning_rate": 0.0029901373081665248, + "loss": 1.3118, + "step": 1385 + }, + { + "epoch": 0.12164864190284455, + "grad_norm": 0.10107421875, + "learning_rate": 0.0029900860697470943, + "loss": 1.3979, + "step": 1386 + }, + { + "epoch": 0.12173641148574704, + "grad_norm": 0.10986328125, + "learning_rate": 0.002990034699066471, + "loss": 1.3388, + "step": 1387 + }, + { + "epoch": 0.12182418106864953, + "grad_norm": 0.1279296875, + "learning_rate": 0.002989983196129725, + "loss": 1.3613, + "step": 1388 + }, + { + "epoch": 0.12191195065155201, + "grad_norm": 0.1669921875, + "learning_rate": 0.0029899315609419404, + "loss": 1.4004, + "step": 1389 + }, + { + "epoch": 0.1219997202344545, + "grad_norm": 0.09423828125, + "learning_rate": 0.0029898797935082122, + "loss": 1.3582, + "step": 1390 + }, + { + "epoch": 0.12208748981735698, + "grad_norm": 0.134765625, + "learning_rate": 0.00298982789383365, + "loss": 1.2863, + "step": 1391 + }, + { + "epoch": 0.12217525940025947, + "grad_norm": 0.150390625, + "learning_rate": 0.002989775861923376, + "loss": 1.352, + "step": 1392 + }, + { + "epoch": 0.12226302898316195, + "grad_norm": 0.11865234375, + "learning_rate": 0.0029897236977825255, + "loss": 1.3793, + "step": 1393 + }, + { + "epoch": 0.12235079856606444, + "grad_norm": 0.1337890625, + "learning_rate": 0.002989671401416247, + "loss": 1.4031, + "step": 1394 + }, + { + "epoch": 0.12243856814896692, + "grad_norm": 0.142578125, + "learning_rate": 0.0029896189728297025, + "loss": 1.3277, + "step": 1395 + }, + { + "epoch": 0.12252633773186941, + "grad_norm": 0.158203125, + "learning_rate": 0.0029895664120280657, + "loss": 1.3364, + "step": 1396 + }, + { + "epoch": 0.12261410731477189, + "grad_norm": 0.2197265625, + "learning_rate": 0.0029895137190165243, + "loss": 1.3499, + "step": 1397 + }, + { + "epoch": 0.12270187689767438, + "grad_norm": 0.18359375, + "learning_rate": 0.0029894608938002792, + "loss": 1.2889, + "step": 1398 + }, + { + "epoch": 0.12278964648057687, + "grad_norm": 0.12890625, + "learning_rate": 0.002989407936384544, + "loss": 1.374, + "step": 1399 + }, + { + "epoch": 0.12287741606347935, + "grad_norm": 0.1787109375, + "learning_rate": 0.002989354846774545, + "loss": 1.3264, + "step": 1400 + }, + { + "epoch": 0.12296518564638184, + "grad_norm": 0.134765625, + "learning_rate": 0.0029893016249755225, + "loss": 1.3311, + "step": 1401 + }, + { + "epoch": 0.12305295522928432, + "grad_norm": 0.109375, + "learning_rate": 0.0029892482709927286, + "loss": 1.3802, + "step": 1402 + }, + { + "epoch": 0.12314072481218681, + "grad_norm": 0.1123046875, + "learning_rate": 0.0029891947848314296, + "loss": 1.3593, + "step": 1403 + }, + { + "epoch": 0.12322849439508929, + "grad_norm": 0.1455078125, + "learning_rate": 0.0029891411664969042, + "loss": 1.3706, + "step": 1404 + }, + { + "epoch": 0.12331626397799178, + "grad_norm": 0.150390625, + "learning_rate": 0.0029890874159944447, + "loss": 1.3851, + "step": 1405 + }, + { + "epoch": 0.12340403356089426, + "grad_norm": 0.10009765625, + "learning_rate": 0.0029890335333293554, + "loss": 1.3679, + "step": 1406 + }, + { + "epoch": 0.12349180314379675, + "grad_norm": 0.1064453125, + "learning_rate": 0.0029889795185069545, + "loss": 1.4016, + "step": 1407 + }, + { + "epoch": 0.12357957272669923, + "grad_norm": 0.1318359375, + "learning_rate": 0.0029889253715325737, + "loss": 1.359, + "step": 1408 + }, + { + "epoch": 0.12366734230960172, + "grad_norm": 0.2001953125, + "learning_rate": 0.0029888710924115564, + "loss": 1.3669, + "step": 1409 + }, + { + "epoch": 0.1237551118925042, + "grad_norm": 0.22265625, + "learning_rate": 0.0029888166811492603, + "loss": 1.3607, + "step": 1410 + }, + { + "epoch": 0.12384288147540669, + "grad_norm": 0.1396484375, + "learning_rate": 0.0029887621377510543, + "loss": 1.373, + "step": 1411 + }, + { + "epoch": 0.12393065105830918, + "grad_norm": 0.111328125, + "learning_rate": 0.002988707462222323, + "loss": 1.3402, + "step": 1412 + }, + { + "epoch": 0.12401842064121166, + "grad_norm": 0.09716796875, + "learning_rate": 0.0029886526545684624, + "loss": 1.3743, + "step": 1413 + }, + { + "epoch": 0.12410619022411415, + "grad_norm": 0.15234375, + "learning_rate": 0.0029885977147948817, + "loss": 1.4382, + "step": 1414 + }, + { + "epoch": 0.12419395980701663, + "grad_norm": 0.15234375, + "learning_rate": 0.0029885426429070022, + "loss": 1.355, + "step": 1415 + }, + { + "epoch": 0.12428172938991912, + "grad_norm": 0.09619140625, + "learning_rate": 0.0029884874389102607, + "loss": 1.4003, + "step": 1416 + }, + { + "epoch": 0.1243694989728216, + "grad_norm": 0.20703125, + "learning_rate": 0.0029884321028101055, + "loss": 1.3275, + "step": 1417 + }, + { + "epoch": 0.12445726855572409, + "grad_norm": 0.203125, + "learning_rate": 0.002988376634611997, + "loss": 1.3964, + "step": 1418 + }, + { + "epoch": 0.12454503813862657, + "grad_norm": 0.10791015625, + "learning_rate": 0.0029883210343214107, + "loss": 1.3267, + "step": 1419 + }, + { + "epoch": 0.12463280772152906, + "grad_norm": 0.265625, + "learning_rate": 0.002988265301943834, + "loss": 1.3603, + "step": 1420 + }, + { + "epoch": 0.12472057730443153, + "grad_norm": 0.2099609375, + "learning_rate": 0.002988209437484767, + "loss": 1.3409, + "step": 1421 + }, + { + "epoch": 0.12480834688733403, + "grad_norm": 0.11328125, + "learning_rate": 0.0029881534409497233, + "loss": 1.3781, + "step": 1422 + }, + { + "epoch": 0.12489611647023652, + "grad_norm": 0.19921875, + "learning_rate": 0.0029880973123442302, + "loss": 1.3592, + "step": 1423 + }, + { + "epoch": 0.124983886053139, + "grad_norm": 0.2021484375, + "learning_rate": 0.002988041051673827, + "loss": 1.3418, + "step": 1424 + }, + { + "epoch": 0.12507165563604147, + "grad_norm": 0.150390625, + "learning_rate": 0.002987984658944066, + "loss": 1.359, + "step": 1425 + }, + { + "epoch": 0.12515942521894396, + "grad_norm": 0.12890625, + "learning_rate": 0.002987928134160514, + "loss": 1.3482, + "step": 1426 + }, + { + "epoch": 0.12524719480184646, + "grad_norm": 0.169921875, + "learning_rate": 0.0029878714773287477, + "loss": 1.3765, + "step": 1427 + }, + { + "epoch": 0.12533496438474895, + "grad_norm": 0.0986328125, + "learning_rate": 0.0029878146884543618, + "loss": 1.3548, + "step": 1428 + }, + { + "epoch": 0.1254227339676514, + "grad_norm": 0.1328125, + "learning_rate": 0.002987757767542959, + "loss": 1.3192, + "step": 1429 + }, + { + "epoch": 0.1255105035505539, + "grad_norm": 0.10400390625, + "learning_rate": 0.002987700714600157, + "loss": 1.3591, + "step": 1430 + }, + { + "epoch": 0.1255982731334564, + "grad_norm": 0.12109375, + "learning_rate": 0.0029876435296315885, + "loss": 1.3376, + "step": 1431 + }, + { + "epoch": 0.1256860427163589, + "grad_norm": 0.1396484375, + "learning_rate": 0.002987586212642896, + "loss": 1.3401, + "step": 1432 + }, + { + "epoch": 0.12577381229926135, + "grad_norm": 0.1513671875, + "learning_rate": 0.0029875287636397367, + "loss": 1.3824, + "step": 1433 + }, + { + "epoch": 0.12586158188216384, + "grad_norm": 0.1181640625, + "learning_rate": 0.002987471182627781, + "loss": 1.3772, + "step": 1434 + }, + { + "epoch": 0.12594935146506633, + "grad_norm": 0.1064453125, + "learning_rate": 0.002987413469612712, + "loss": 1.2982, + "step": 1435 + }, + { + "epoch": 0.12603712104796883, + "grad_norm": 0.09228515625, + "learning_rate": 0.0029873556246002254, + "loss": 1.3317, + "step": 1436 + }, + { + "epoch": 0.12612489063087132, + "grad_norm": 0.1201171875, + "learning_rate": 0.00298729764759603, + "loss": 1.3751, + "step": 1437 + }, + { + "epoch": 0.12621266021377378, + "grad_norm": 0.185546875, + "learning_rate": 0.0029872395386058483, + "loss": 1.3396, + "step": 1438 + }, + { + "epoch": 0.12630042979667627, + "grad_norm": 0.1982421875, + "learning_rate": 0.0029871812976354157, + "loss": 1.3549, + "step": 1439 + }, + { + "epoch": 0.12638819937957876, + "grad_norm": 0.1826171875, + "learning_rate": 0.002987122924690479, + "loss": 1.3742, + "step": 1440 + }, + { + "epoch": 0.12647596896248126, + "grad_norm": 0.111328125, + "learning_rate": 0.0029870644197768016, + "loss": 1.2948, + "step": 1441 + }, + { + "epoch": 0.12656373854538372, + "grad_norm": 0.1357421875, + "learning_rate": 0.0029870057829001553, + "loss": 1.3143, + "step": 1442 + }, + { + "epoch": 0.1266515081282862, + "grad_norm": 0.1767578125, + "learning_rate": 0.002986947014066329, + "loss": 1.3048, + "step": 1443 + }, + { + "epoch": 0.1267392777111887, + "grad_norm": 0.09326171875, + "learning_rate": 0.002986888113281123, + "loss": 1.3771, + "step": 1444 + }, + { + "epoch": 0.1268270472940912, + "grad_norm": 0.1533203125, + "learning_rate": 0.002986829080550349, + "loss": 1.3069, + "step": 1445 + }, + { + "epoch": 0.12691481687699369, + "grad_norm": 0.189453125, + "learning_rate": 0.002986769915879835, + "loss": 1.3741, + "step": 1446 + }, + { + "epoch": 0.12700258645989615, + "grad_norm": 0.1552734375, + "learning_rate": 0.002986710619275419, + "loss": 1.3294, + "step": 1447 + }, + { + "epoch": 0.12709035604279864, + "grad_norm": 0.18359375, + "learning_rate": 0.0029866511907429547, + "loss": 1.3173, + "step": 1448 + }, + { + "epoch": 0.12717812562570113, + "grad_norm": 0.201171875, + "learning_rate": 0.0029865916302883066, + "loss": 1.328, + "step": 1449 + }, + { + "epoch": 0.12726589520860362, + "grad_norm": 0.1337890625, + "learning_rate": 0.0029865319379173525, + "loss": 1.3647, + "step": 1450 + }, + { + "epoch": 0.1273536647915061, + "grad_norm": 0.1357421875, + "learning_rate": 0.002986472113635985, + "loss": 1.3442, + "step": 1451 + }, + { + "epoch": 0.12744143437440858, + "grad_norm": 0.17578125, + "learning_rate": 0.0029864121574501084, + "loss": 1.3617, + "step": 1452 + }, + { + "epoch": 0.12752920395731107, + "grad_norm": 0.134765625, + "learning_rate": 0.0029863520693656394, + "loss": 1.3258, + "step": 1453 + }, + { + "epoch": 0.12761697354021356, + "grad_norm": 0.09423828125, + "learning_rate": 0.002986291849388509, + "loss": 1.326, + "step": 1454 + }, + { + "epoch": 0.12770474312311603, + "grad_norm": 0.1044921875, + "learning_rate": 0.0029862314975246606, + "loss": 1.3416, + "step": 1455 + }, + { + "epoch": 0.12779251270601852, + "grad_norm": 0.08251953125, + "learning_rate": 0.00298617101378005, + "loss": 1.3525, + "step": 1456 + }, + { + "epoch": 0.127880282288921, + "grad_norm": 0.1435546875, + "learning_rate": 0.002986110398160648, + "loss": 1.3637, + "step": 1457 + }, + { + "epoch": 0.1279680518718235, + "grad_norm": 0.1962890625, + "learning_rate": 0.0029860496506724362, + "loss": 1.3911, + "step": 1458 + }, + { + "epoch": 0.128055821454726, + "grad_norm": 0.1640625, + "learning_rate": 0.00298598877132141, + "loss": 1.3446, + "step": 1459 + }, + { + "epoch": 0.12814359103762846, + "grad_norm": 0.1181640625, + "learning_rate": 0.0029859277601135786, + "loss": 1.3192, + "step": 1460 + }, + { + "epoch": 0.12823136062053095, + "grad_norm": 0.0869140625, + "learning_rate": 0.0029858666170549638, + "loss": 1.3302, + "step": 1461 + }, + { + "epoch": 0.12831913020343344, + "grad_norm": 0.08984375, + "learning_rate": 0.002985805342151599, + "loss": 1.3877, + "step": 1462 + }, + { + "epoch": 0.12840689978633593, + "grad_norm": 0.11767578125, + "learning_rate": 0.0029857439354095323, + "loss": 1.3456, + "step": 1463 + }, + { + "epoch": 0.1284946693692384, + "grad_norm": 0.08984375, + "learning_rate": 0.002985682396834825, + "loss": 1.3953, + "step": 1464 + }, + { + "epoch": 0.1285824389521409, + "grad_norm": 0.10400390625, + "learning_rate": 0.0029856207264335496, + "loss": 1.3483, + "step": 1465 + }, + { + "epoch": 0.12867020853504338, + "grad_norm": 0.1259765625, + "learning_rate": 0.0029855589242117936, + "loss": 1.3472, + "step": 1466 + }, + { + "epoch": 0.12875797811794587, + "grad_norm": 0.158203125, + "learning_rate": 0.0029854969901756566, + "loss": 1.3891, + "step": 1467 + }, + { + "epoch": 0.12884574770084833, + "grad_norm": 0.12890625, + "learning_rate": 0.0029854349243312508, + "loss": 1.3622, + "step": 1468 + }, + { + "epoch": 0.12893351728375083, + "grad_norm": 0.099609375, + "learning_rate": 0.002985372726684702, + "loss": 1.2893, + "step": 1469 + }, + { + "epoch": 0.12902128686665332, + "grad_norm": 0.201171875, + "learning_rate": 0.002985310397242148, + "loss": 1.3801, + "step": 1470 + }, + { + "epoch": 0.1291090564495558, + "grad_norm": 0.166015625, + "learning_rate": 0.002985247936009743, + "loss": 1.3415, + "step": 1471 + }, + { + "epoch": 0.1291968260324583, + "grad_norm": 0.18359375, + "learning_rate": 0.0029851853429936487, + "loss": 1.3737, + "step": 1472 + }, + { + "epoch": 0.12928459561536076, + "grad_norm": 0.1845703125, + "learning_rate": 0.0029851226182000448, + "loss": 1.371, + "step": 1473 + }, + { + "epoch": 0.12937236519826326, + "grad_norm": 0.09228515625, + "learning_rate": 0.002985059761635121, + "loss": 1.3949, + "step": 1474 + }, + { + "epoch": 0.12946013478116575, + "grad_norm": 0.14453125, + "learning_rate": 0.0029849967733050816, + "loss": 1.411, + "step": 1475 + }, + { + "epoch": 0.12954790436406824, + "grad_norm": 0.1220703125, + "learning_rate": 0.0029849336532161426, + "loss": 1.3172, + "step": 1476 + }, + { + "epoch": 0.1296356739469707, + "grad_norm": 0.0947265625, + "learning_rate": 0.002984870401374534, + "loss": 1.3485, + "step": 1477 + }, + { + "epoch": 0.1297234435298732, + "grad_norm": 0.11181640625, + "learning_rate": 0.0029848070177864987, + "loss": 1.3172, + "step": 1478 + }, + { + "epoch": 0.1298112131127757, + "grad_norm": 0.103515625, + "learning_rate": 0.002984743502458292, + "loss": 1.3329, + "step": 1479 + }, + { + "epoch": 0.12989898269567818, + "grad_norm": 0.10693359375, + "learning_rate": 0.002984679855396184, + "loss": 1.2902, + "step": 1480 + }, + { + "epoch": 0.12998675227858067, + "grad_norm": 0.16015625, + "learning_rate": 0.002984616076606455, + "loss": 1.3072, + "step": 1481 + }, + { + "epoch": 0.13007452186148313, + "grad_norm": 0.154296875, + "learning_rate": 0.0029845521660953993, + "loss": 1.4163, + "step": 1482 + }, + { + "epoch": 0.13016229144438562, + "grad_norm": 0.1083984375, + "learning_rate": 0.002984488123869326, + "loss": 1.3862, + "step": 1483 + }, + { + "epoch": 0.13025006102728812, + "grad_norm": 0.10986328125, + "learning_rate": 0.002984423949934555, + "loss": 1.4167, + "step": 1484 + }, + { + "epoch": 0.1303378306101906, + "grad_norm": 0.11669921875, + "learning_rate": 0.0029843596442974203, + "loss": 1.33, + "step": 1485 + }, + { + "epoch": 0.13042560019309307, + "grad_norm": 0.2060546875, + "learning_rate": 0.0029842952069642683, + "loss": 1.3811, + "step": 1486 + }, + { + "epoch": 0.13051336977599556, + "grad_norm": 0.193359375, + "learning_rate": 0.002984230637941459, + "loss": 1.3511, + "step": 1487 + }, + { + "epoch": 0.13060113935889806, + "grad_norm": 0.10546875, + "learning_rate": 0.002984165937235365, + "loss": 1.3482, + "step": 1488 + }, + { + "epoch": 0.13068890894180055, + "grad_norm": 0.2001953125, + "learning_rate": 0.002984101104852372, + "loss": 1.3123, + "step": 1489 + }, + { + "epoch": 0.130776678524703, + "grad_norm": 0.1826171875, + "learning_rate": 0.002984036140798879, + "loss": 1.3456, + "step": 1490 + }, + { + "epoch": 0.1308644481076055, + "grad_norm": 0.111328125, + "learning_rate": 0.002983971045081297, + "loss": 1.2824, + "step": 1491 + }, + { + "epoch": 0.130952217690508, + "grad_norm": 0.123046875, + "learning_rate": 0.002983905817706051, + "loss": 1.3123, + "step": 1492 + }, + { + "epoch": 0.13103998727341049, + "grad_norm": 0.1669921875, + "learning_rate": 0.0029838404586795793, + "loss": 1.3536, + "step": 1493 + }, + { + "epoch": 0.13112775685631298, + "grad_norm": 0.0947265625, + "learning_rate": 0.0029837749680083317, + "loss": 1.3014, + "step": 1494 + }, + { + "epoch": 0.13121552643921544, + "grad_norm": 0.28125, + "learning_rate": 0.0029837093456987727, + "loss": 1.427, + "step": 1495 + }, + { + "epoch": 0.13130329602211793, + "grad_norm": 0.296875, + "learning_rate": 0.002983643591757378, + "loss": 1.3655, + "step": 1496 + }, + { + "epoch": 0.13139106560502042, + "grad_norm": 0.12353515625, + "learning_rate": 0.002983577706190638, + "loss": 1.2918, + "step": 1497 + }, + { + "epoch": 0.13147883518792292, + "grad_norm": 0.171875, + "learning_rate": 0.002983511689005055, + "loss": 1.3853, + "step": 1498 + }, + { + "epoch": 0.13156660477082538, + "grad_norm": 0.15234375, + "learning_rate": 0.002983445540207145, + "loss": 1.3599, + "step": 1499 + }, + { + "epoch": 0.13165437435372787, + "grad_norm": 0.1259765625, + "learning_rate": 0.002983379259803436, + "loss": 1.3563, + "step": 1500 + }, + { + "epoch": 0.13165437435372787, + "eval_loss": 1.3339033126831055, + "eval_runtime": 437.6205, + "eval_samples_per_second": 33.682, + "eval_steps_per_second": 8.421, + "step": 1500 + }, + { + "epoch": 0.13174214393663036, + "grad_norm": 0.1357421875, + "learning_rate": 0.00298331284780047, + "loss": 1.3152, + "step": 1501 + }, + { + "epoch": 0.13182991351953285, + "grad_norm": 0.12060546875, + "learning_rate": 0.0029832463042048017, + "loss": 1.3866, + "step": 1502 + }, + { + "epoch": 0.13191768310243532, + "grad_norm": 0.2021484375, + "learning_rate": 0.002983179629022999, + "loss": 1.3914, + "step": 1503 + }, + { + "epoch": 0.1320054526853378, + "grad_norm": 0.1552734375, + "learning_rate": 0.002983112822261641, + "loss": 1.3485, + "step": 1504 + }, + { + "epoch": 0.1320932222682403, + "grad_norm": 0.154296875, + "learning_rate": 0.002983045883927323, + "loss": 1.3199, + "step": 1505 + }, + { + "epoch": 0.1321809918511428, + "grad_norm": 0.1787109375, + "learning_rate": 0.0029829788140266506, + "loss": 1.3547, + "step": 1506 + }, + { + "epoch": 0.13226876143404528, + "grad_norm": 0.095703125, + "learning_rate": 0.002982911612566244, + "loss": 1.2855, + "step": 1507 + }, + { + "epoch": 0.13235653101694775, + "grad_norm": 0.12890625, + "learning_rate": 0.0029828442795527352, + "loss": 1.3168, + "step": 1508 + }, + { + "epoch": 0.13244430059985024, + "grad_norm": 0.146484375, + "learning_rate": 0.0029827768149927694, + "loss": 1.3254, + "step": 1509 + }, + { + "epoch": 0.13253207018275273, + "grad_norm": 0.0888671875, + "learning_rate": 0.0029827092188930058, + "loss": 1.3223, + "step": 1510 + }, + { + "epoch": 0.13261983976565522, + "grad_norm": 0.09228515625, + "learning_rate": 0.0029826414912601158, + "loss": 1.3559, + "step": 1511 + }, + { + "epoch": 0.1327076093485577, + "grad_norm": 0.09765625, + "learning_rate": 0.0029825736321007833, + "loss": 1.3301, + "step": 1512 + }, + { + "epoch": 0.13279537893146018, + "grad_norm": 0.142578125, + "learning_rate": 0.0029825056414217056, + "loss": 1.3512, + "step": 1513 + }, + { + "epoch": 0.13288314851436267, + "grad_norm": 0.1357421875, + "learning_rate": 0.0029824375192295943, + "loss": 1.351, + "step": 1514 + }, + { + "epoch": 0.13297091809726516, + "grad_norm": 0.169921875, + "learning_rate": 0.0029823692655311716, + "loss": 1.3494, + "step": 1515 + }, + { + "epoch": 0.13305868768016765, + "grad_norm": 0.205078125, + "learning_rate": 0.0029823008803331746, + "loss": 1.3305, + "step": 1516 + }, + { + "epoch": 0.13314645726307012, + "grad_norm": 0.09130859375, + "learning_rate": 0.0029822323636423524, + "loss": 1.342, + "step": 1517 + }, + { + "epoch": 0.1332342268459726, + "grad_norm": 0.2392578125, + "learning_rate": 0.002982163715465467, + "loss": 1.3594, + "step": 1518 + }, + { + "epoch": 0.1333219964288751, + "grad_norm": 0.201171875, + "learning_rate": 0.0029820949358092944, + "loss": 1.3676, + "step": 1519 + }, + { + "epoch": 0.1334097660117776, + "grad_norm": 0.09375, + "learning_rate": 0.0029820260246806217, + "loss": 1.3476, + "step": 1520 + }, + { + "epoch": 0.13349753559468006, + "grad_norm": 0.146484375, + "learning_rate": 0.0029819569820862517, + "loss": 1.3209, + "step": 1521 + }, + { + "epoch": 0.13358530517758255, + "grad_norm": 0.10009765625, + "learning_rate": 0.0029818878080329976, + "loss": 1.2706, + "step": 1522 + }, + { + "epoch": 0.13367307476048504, + "grad_norm": 0.1220703125, + "learning_rate": 0.0029818185025276872, + "loss": 1.3376, + "step": 1523 + }, + { + "epoch": 0.13376084434338753, + "grad_norm": 0.1298828125, + "learning_rate": 0.0029817490655771593, + "loss": 1.3505, + "step": 1524 + }, + { + "epoch": 0.13384861392629, + "grad_norm": 0.0908203125, + "learning_rate": 0.002981679497188269, + "loss": 1.3944, + "step": 1525 + }, + { + "epoch": 0.13393638350919249, + "grad_norm": 0.10791015625, + "learning_rate": 0.0029816097973678814, + "loss": 1.3454, + "step": 1526 + }, + { + "epoch": 0.13402415309209498, + "grad_norm": 0.1181640625, + "learning_rate": 0.0029815399661228753, + "loss": 1.3408, + "step": 1527 + }, + { + "epoch": 0.13411192267499747, + "grad_norm": 0.0986328125, + "learning_rate": 0.0029814700034601436, + "loss": 1.3401, + "step": 1528 + }, + { + "epoch": 0.13419969225789996, + "grad_norm": 0.1259765625, + "learning_rate": 0.002981399909386591, + "loss": 1.342, + "step": 1529 + }, + { + "epoch": 0.13428746184080242, + "grad_norm": 0.10595703125, + "learning_rate": 0.002981329683909135, + "loss": 1.3279, + "step": 1530 + }, + { + "epoch": 0.13437523142370492, + "grad_norm": 0.1064453125, + "learning_rate": 0.002981259327034707, + "loss": 1.3395, + "step": 1531 + }, + { + "epoch": 0.1344630010066074, + "grad_norm": 0.12890625, + "learning_rate": 0.0029811888387702512, + "loss": 1.3474, + "step": 1532 + }, + { + "epoch": 0.1345507705895099, + "grad_norm": 0.10595703125, + "learning_rate": 0.0029811182191227244, + "loss": 1.346, + "step": 1533 + }, + { + "epoch": 0.13463854017241236, + "grad_norm": 0.0947265625, + "learning_rate": 0.002981047468099096, + "loss": 1.3413, + "step": 1534 + }, + { + "epoch": 0.13472630975531485, + "grad_norm": 0.10302734375, + "learning_rate": 0.0029809765857063495, + "loss": 1.2592, + "step": 1535 + }, + { + "epoch": 0.13481407933821735, + "grad_norm": 0.1796875, + "learning_rate": 0.0029809055719514804, + "loss": 1.4012, + "step": 1536 + }, + { + "epoch": 0.13490184892111984, + "grad_norm": 0.09521484375, + "learning_rate": 0.0029808344268414974, + "loss": 1.3536, + "step": 1537 + }, + { + "epoch": 0.1349896185040223, + "grad_norm": 0.201171875, + "learning_rate": 0.002980763150383422, + "loss": 1.3417, + "step": 1538 + }, + { + "epoch": 0.1350773880869248, + "grad_norm": 0.1494140625, + "learning_rate": 0.00298069174258429, + "loss": 1.3449, + "step": 1539 + }, + { + "epoch": 0.13516515766982728, + "grad_norm": 0.1455078125, + "learning_rate": 0.0029806202034511472, + "loss": 1.3331, + "step": 1540 + }, + { + "epoch": 0.13525292725272978, + "grad_norm": 0.2021484375, + "learning_rate": 0.002980548532991056, + "loss": 1.3557, + "step": 1541 + }, + { + "epoch": 0.13534069683563227, + "grad_norm": 0.1298828125, + "learning_rate": 0.002980476731211089, + "loss": 1.371, + "step": 1542 + }, + { + "epoch": 0.13542846641853473, + "grad_norm": 0.08837890625, + "learning_rate": 0.0029804047981183334, + "loss": 1.358, + "step": 1543 + }, + { + "epoch": 0.13551623600143722, + "grad_norm": 0.1513671875, + "learning_rate": 0.0029803327337198887, + "loss": 1.334, + "step": 1544 + }, + { + "epoch": 0.13560400558433972, + "grad_norm": 0.1689453125, + "learning_rate": 0.002980260538022866, + "loss": 1.3648, + "step": 1545 + }, + { + "epoch": 0.1356917751672422, + "grad_norm": 0.10302734375, + "learning_rate": 0.0029801882110343926, + "loss": 1.3304, + "step": 1546 + }, + { + "epoch": 0.13577954475014467, + "grad_norm": 0.1337890625, + "learning_rate": 0.0029801157527616063, + "loss": 1.338, + "step": 1547 + }, + { + "epoch": 0.13586731433304716, + "grad_norm": 0.150390625, + "learning_rate": 0.0029800431632116577, + "loss": 1.3448, + "step": 1548 + }, + { + "epoch": 0.13595508391594965, + "grad_norm": 0.2119140625, + "learning_rate": 0.002979970442391711, + "loss": 1.3134, + "step": 1549 + }, + { + "epoch": 0.13604285349885215, + "grad_norm": 0.228515625, + "learning_rate": 0.002979897590308945, + "loss": 1.3217, + "step": 1550 + }, + { + "epoch": 0.13613062308175464, + "grad_norm": 0.10205078125, + "learning_rate": 0.0029798246069705483, + "loss": 1.32, + "step": 1551 + }, + { + "epoch": 0.1362183926646571, + "grad_norm": 0.3671875, + "learning_rate": 0.002979751492383725, + "loss": 1.3061, + "step": 1552 + }, + { + "epoch": 0.1363061622475596, + "grad_norm": 0.171875, + "learning_rate": 0.0029796782465556916, + "loss": 1.3187, + "step": 1553 + }, + { + "epoch": 0.13639393183046208, + "grad_norm": 0.1669921875, + "learning_rate": 0.002979604869493676, + "loss": 1.3302, + "step": 1554 + }, + { + "epoch": 0.13648170141336458, + "grad_norm": 0.1259765625, + "learning_rate": 0.0029795313612049202, + "loss": 1.3247, + "step": 1555 + }, + { + "epoch": 0.13656947099626704, + "grad_norm": 0.16796875, + "learning_rate": 0.0029794577216966807, + "loss": 1.3718, + "step": 1556 + }, + { + "epoch": 0.13665724057916953, + "grad_norm": 0.2314453125, + "learning_rate": 0.0029793839509762244, + "loss": 1.3535, + "step": 1557 + }, + { + "epoch": 0.13674501016207202, + "grad_norm": 0.11328125, + "learning_rate": 0.0029793100490508313, + "loss": 1.2986, + "step": 1558 + }, + { + "epoch": 0.13683277974497451, + "grad_norm": 0.154296875, + "learning_rate": 0.002979236015927797, + "loss": 1.3521, + "step": 1559 + }, + { + "epoch": 0.13692054932787698, + "grad_norm": 0.1435546875, + "learning_rate": 0.0029791618516144276, + "loss": 1.3595, + "step": 1560 + }, + { + "epoch": 0.13700831891077947, + "grad_norm": 0.103515625, + "learning_rate": 0.0029790875561180423, + "loss": 1.3786, + "step": 1561 + }, + { + "epoch": 0.13709608849368196, + "grad_norm": 0.1845703125, + "learning_rate": 0.0029790131294459743, + "loss": 1.3616, + "step": 1562 + }, + { + "epoch": 0.13718385807658445, + "grad_norm": 0.109375, + "learning_rate": 0.0029789385716055684, + "loss": 1.3719, + "step": 1563 + }, + { + "epoch": 0.13727162765948694, + "grad_norm": 0.107421875, + "learning_rate": 0.0029788638826041846, + "loss": 1.4084, + "step": 1564 + }, + { + "epoch": 0.1373593972423894, + "grad_norm": 0.12451171875, + "learning_rate": 0.0029787890624491933, + "loss": 1.341, + "step": 1565 + }, + { + "epoch": 0.1374471668252919, + "grad_norm": 0.10302734375, + "learning_rate": 0.0029787141111479796, + "loss": 1.3723, + "step": 1566 + }, + { + "epoch": 0.1375349364081944, + "grad_norm": 0.10009765625, + "learning_rate": 0.00297863902870794, + "loss": 1.3145, + "step": 1567 + }, + { + "epoch": 0.13762270599109688, + "grad_norm": 0.10498046875, + "learning_rate": 0.0029785638151364857, + "loss": 1.3448, + "step": 1568 + }, + { + "epoch": 0.13771047557399935, + "grad_norm": 0.1318359375, + "learning_rate": 0.0029784884704410403, + "loss": 1.3786, + "step": 1569 + }, + { + "epoch": 0.13779824515690184, + "grad_norm": 0.1015625, + "learning_rate": 0.0029784129946290386, + "loss": 1.3183, + "step": 1570 + }, + { + "epoch": 0.13788601473980433, + "grad_norm": 0.1533203125, + "learning_rate": 0.002978337387707931, + "loss": 1.3635, + "step": 1571 + }, + { + "epoch": 0.13797378432270682, + "grad_norm": 0.1416015625, + "learning_rate": 0.002978261649685179, + "loss": 1.3174, + "step": 1572 + }, + { + "epoch": 0.13806155390560929, + "grad_norm": 0.1025390625, + "learning_rate": 0.002978185780568258, + "loss": 1.35, + "step": 1573 + }, + { + "epoch": 0.13814932348851178, + "grad_norm": 0.20703125, + "learning_rate": 0.0029781097803646558, + "loss": 1.3759, + "step": 1574 + }, + { + "epoch": 0.13823709307141427, + "grad_norm": 0.181640625, + "learning_rate": 0.0029780336490818735, + "loss": 1.394, + "step": 1575 + }, + { + "epoch": 0.13832486265431676, + "grad_norm": 0.09228515625, + "learning_rate": 0.002977957386727425, + "loss": 1.2821, + "step": 1576 + }, + { + "epoch": 0.13841263223721925, + "grad_norm": 0.2421875, + "learning_rate": 0.002977880993308836, + "loss": 1.3619, + "step": 1577 + }, + { + "epoch": 0.13850040182012172, + "grad_norm": 0.205078125, + "learning_rate": 0.002977804468833648, + "loss": 1.3, + "step": 1578 + }, + { + "epoch": 0.1385881714030242, + "grad_norm": 0.10107421875, + "learning_rate": 0.0029777278133094123, + "loss": 1.31, + "step": 1579 + }, + { + "epoch": 0.1386759409859267, + "grad_norm": 0.1396484375, + "learning_rate": 0.0029776510267436954, + "loss": 1.3326, + "step": 1580 + }, + { + "epoch": 0.1387637105688292, + "grad_norm": 0.18359375, + "learning_rate": 0.002977574109144075, + "loss": 1.4208, + "step": 1581 + }, + { + "epoch": 0.13885148015173165, + "grad_norm": 0.134765625, + "learning_rate": 0.002977497060518143, + "loss": 1.361, + "step": 1582 + }, + { + "epoch": 0.13893924973463415, + "grad_norm": 0.11865234375, + "learning_rate": 0.0029774198808735037, + "loss": 1.2836, + "step": 1583 + }, + { + "epoch": 0.13902701931753664, + "grad_norm": 0.12890625, + "learning_rate": 0.002977342570217775, + "loss": 1.382, + "step": 1584 + }, + { + "epoch": 0.13911478890043913, + "grad_norm": 0.09375, + "learning_rate": 0.0029772651285585863, + "loss": 1.3055, + "step": 1585 + }, + { + "epoch": 0.13920255848334162, + "grad_norm": 0.40234375, + "learning_rate": 0.002977187555903581, + "loss": 1.4256, + "step": 1586 + }, + { + "epoch": 0.13929032806624408, + "grad_norm": 0.1103515625, + "learning_rate": 0.0029771098522604154, + "loss": 1.3969, + "step": 1587 + }, + { + "epoch": 0.13937809764914658, + "grad_norm": 0.08642578125, + "learning_rate": 0.002977032017636759, + "loss": 1.3544, + "step": 1588 + }, + { + "epoch": 0.13946586723204907, + "grad_norm": 0.1748046875, + "learning_rate": 0.0029769540520402926, + "loss": 1.3442, + "step": 1589 + }, + { + "epoch": 0.13955363681495156, + "grad_norm": 0.1455078125, + "learning_rate": 0.002976875955478712, + "loss": 1.398, + "step": 1590 + }, + { + "epoch": 0.13964140639785402, + "grad_norm": 0.10791015625, + "learning_rate": 0.002976797727959725, + "loss": 1.3587, + "step": 1591 + }, + { + "epoch": 0.13972917598075651, + "grad_norm": 0.12255859375, + "learning_rate": 0.0029767193694910515, + "loss": 1.3348, + "step": 1592 + }, + { + "epoch": 0.139816945563659, + "grad_norm": 0.08349609375, + "learning_rate": 0.0029766408800804265, + "loss": 1.3375, + "step": 1593 + }, + { + "epoch": 0.1399047151465615, + "grad_norm": 0.1513671875, + "learning_rate": 0.0029765622597355953, + "loss": 1.3374, + "step": 1594 + }, + { + "epoch": 0.13999248472946396, + "grad_norm": 0.0859375, + "learning_rate": 0.0029764835084643186, + "loss": 1.2843, + "step": 1595 + }, + { + "epoch": 0.14008025431236645, + "grad_norm": 0.09130859375, + "learning_rate": 0.002976404626274368, + "loss": 1.304, + "step": 1596 + }, + { + "epoch": 0.14016802389526895, + "grad_norm": 0.10595703125, + "learning_rate": 0.0029763256131735286, + "loss": 1.3601, + "step": 1597 + }, + { + "epoch": 0.14025579347817144, + "grad_norm": 0.1142578125, + "learning_rate": 0.0029762464691696, + "loss": 1.3425, + "step": 1598 + }, + { + "epoch": 0.14034356306107393, + "grad_norm": 0.09423828125, + "learning_rate": 0.0029761671942703924, + "loss": 1.3645, + "step": 1599 + }, + { + "epoch": 0.1404313326439764, + "grad_norm": 0.07958984375, + "learning_rate": 0.00297608778848373, + "loss": 1.3378, + "step": 1600 + }, + { + "epoch": 0.14051910222687888, + "grad_norm": 0.1005859375, + "learning_rate": 0.0029760082518174493, + "loss": 1.2775, + "step": 1601 + }, + { + "epoch": 0.14060687180978138, + "grad_norm": 0.1494140625, + "learning_rate": 0.002975928584279402, + "loss": 1.2902, + "step": 1602 + }, + { + "epoch": 0.14069464139268387, + "grad_norm": 0.08544921875, + "learning_rate": 0.002975848785877449, + "loss": 1.2893, + "step": 1603 + }, + { + "epoch": 0.14078241097558633, + "grad_norm": 0.119140625, + "learning_rate": 0.0029757688566194674, + "loss": 1.3126, + "step": 1604 + }, + { + "epoch": 0.14087018055848882, + "grad_norm": 0.09326171875, + "learning_rate": 0.0029756887965133455, + "loss": 1.3202, + "step": 1605 + }, + { + "epoch": 0.1409579501413913, + "grad_norm": 0.2451171875, + "learning_rate": 0.0029756086055669844, + "loss": 1.2834, + "step": 1606 + }, + { + "epoch": 0.1410457197242938, + "grad_norm": 0.12255859375, + "learning_rate": 0.0029755282837882996, + "loss": 1.3656, + "step": 1607 + }, + { + "epoch": 0.14113348930719627, + "grad_norm": 0.28515625, + "learning_rate": 0.002975447831185218, + "loss": 1.3275, + "step": 1608 + }, + { + "epoch": 0.14122125889009876, + "grad_norm": 0.3203125, + "learning_rate": 0.00297536724776568, + "loss": 1.3322, + "step": 1609 + }, + { + "epoch": 0.14130902847300125, + "grad_norm": 0.0830078125, + "learning_rate": 0.0029752865335376387, + "loss": 1.3148, + "step": 1610 + }, + { + "epoch": 0.14139679805590374, + "grad_norm": 0.296875, + "learning_rate": 0.00297520568850906, + "loss": 1.3834, + "step": 1611 + }, + { + "epoch": 0.14148456763880624, + "grad_norm": 0.2158203125, + "learning_rate": 0.0029751247126879243, + "loss": 1.3611, + "step": 1612 + }, + { + "epoch": 0.1415723372217087, + "grad_norm": 0.1455078125, + "learning_rate": 0.0029750436060822223, + "loss": 1.3554, + "step": 1613 + }, + { + "epoch": 0.1416601068046112, + "grad_norm": 0.2138671875, + "learning_rate": 0.002974962368699959, + "loss": 1.3455, + "step": 1614 + }, + { + "epoch": 0.14174787638751368, + "grad_norm": 0.0849609375, + "learning_rate": 0.0029748810005491527, + "loss": 1.3609, + "step": 1615 + }, + { + "epoch": 0.14183564597041617, + "grad_norm": 0.146484375, + "learning_rate": 0.0029747995016378348, + "loss": 1.2825, + "step": 1616 + }, + { + "epoch": 0.14192341555331864, + "grad_norm": 0.1064453125, + "learning_rate": 0.0029747178719740468, + "loss": 1.3947, + "step": 1617 + }, + { + "epoch": 0.14201118513622113, + "grad_norm": 0.09130859375, + "learning_rate": 0.002974636111565847, + "loss": 1.3454, + "step": 1618 + }, + { + "epoch": 0.14209895471912362, + "grad_norm": 0.134765625, + "learning_rate": 0.0029745542204213044, + "loss": 1.3789, + "step": 1619 + }, + { + "epoch": 0.1421867243020261, + "grad_norm": 0.1591796875, + "learning_rate": 0.002974472198548501, + "loss": 1.3436, + "step": 1620 + }, + { + "epoch": 0.1422744938849286, + "grad_norm": 0.08203125, + "learning_rate": 0.0029743900459555327, + "loss": 1.3593, + "step": 1621 + }, + { + "epoch": 0.14236226346783107, + "grad_norm": 0.1669921875, + "learning_rate": 0.002974307762650507, + "loss": 1.3492, + "step": 1622 + }, + { + "epoch": 0.14245003305073356, + "grad_norm": 0.1318359375, + "learning_rate": 0.0029742253486415445, + "loss": 1.3053, + "step": 1623 + }, + { + "epoch": 0.14253780263363605, + "grad_norm": 0.1904296875, + "learning_rate": 0.002974142803936781, + "loss": 1.3863, + "step": 1624 + }, + { + "epoch": 0.14262557221653854, + "grad_norm": 0.1484375, + "learning_rate": 0.002974060128544361, + "loss": 1.2817, + "step": 1625 + }, + { + "epoch": 0.142713341799441, + "grad_norm": 0.1630859375, + "learning_rate": 0.002973977322472446, + "loss": 1.3204, + "step": 1626 + }, + { + "epoch": 0.1428011113823435, + "grad_norm": 0.16015625, + "learning_rate": 0.0029738943857292076, + "loss": 1.3363, + "step": 1627 + }, + { + "epoch": 0.142888880965246, + "grad_norm": 0.14453125, + "learning_rate": 0.002973811318322832, + "loss": 1.3195, + "step": 1628 + }, + { + "epoch": 0.14297665054814848, + "grad_norm": 0.095703125, + "learning_rate": 0.0029737281202615175, + "loss": 1.287, + "step": 1629 + }, + { + "epoch": 0.14306442013105095, + "grad_norm": 0.10205078125, + "learning_rate": 0.002973644791553475, + "loss": 1.3488, + "step": 1630 + }, + { + "epoch": 0.14315218971395344, + "grad_norm": 0.1884765625, + "learning_rate": 0.0029735613322069286, + "loss": 1.3186, + "step": 1631 + }, + { + "epoch": 0.14323995929685593, + "grad_norm": 0.193359375, + "learning_rate": 0.0029734777422301168, + "loss": 1.3029, + "step": 1632 + }, + { + "epoch": 0.14332772887975842, + "grad_norm": 0.08203125, + "learning_rate": 0.0029733940216312878, + "loss": 1.3344, + "step": 1633 + }, + { + "epoch": 0.1434154984626609, + "grad_norm": 0.14453125, + "learning_rate": 0.0029733101704187055, + "loss": 1.3609, + "step": 1634 + }, + { + "epoch": 0.14350326804556338, + "grad_norm": 0.11767578125, + "learning_rate": 0.0029732261886006453, + "loss": 1.3649, + "step": 1635 + }, + { + "epoch": 0.14359103762846587, + "grad_norm": 0.0927734375, + "learning_rate": 0.0029731420761853963, + "loss": 1.3182, + "step": 1636 + }, + { + "epoch": 0.14367880721136836, + "grad_norm": 0.15234375, + "learning_rate": 0.0029730578331812595, + "loss": 1.3874, + "step": 1637 + }, + { + "epoch": 0.14376657679427085, + "grad_norm": 0.1572265625, + "learning_rate": 0.00297297345959655, + "loss": 1.3422, + "step": 1638 + }, + { + "epoch": 0.14385434637717331, + "grad_norm": 0.11572265625, + "learning_rate": 0.002972888955439594, + "loss": 1.4337, + "step": 1639 + }, + { + "epoch": 0.1439421159600758, + "grad_norm": 0.2451171875, + "learning_rate": 0.002972804320718733, + "loss": 1.3749, + "step": 1640 + }, + { + "epoch": 0.1440298855429783, + "grad_norm": 0.1787109375, + "learning_rate": 0.0029727195554423197, + "loss": 1.3506, + "step": 1641 + }, + { + "epoch": 0.1441176551258808, + "grad_norm": 0.09619140625, + "learning_rate": 0.0029726346596187204, + "loss": 1.3125, + "step": 1642 + }, + { + "epoch": 0.14420542470878325, + "grad_norm": 0.1708984375, + "learning_rate": 0.0029725496332563134, + "loss": 1.3447, + "step": 1643 + }, + { + "epoch": 0.14429319429168574, + "grad_norm": 0.1396484375, + "learning_rate": 0.00297246447636349, + "loss": 1.2968, + "step": 1644 + }, + { + "epoch": 0.14438096387458824, + "grad_norm": 0.107421875, + "learning_rate": 0.002972379188948656, + "loss": 1.315, + "step": 1645 + }, + { + "epoch": 0.14446873345749073, + "grad_norm": 0.1748046875, + "learning_rate": 0.002972293771020228, + "loss": 1.3592, + "step": 1646 + }, + { + "epoch": 0.14455650304039322, + "grad_norm": 0.07958984375, + "learning_rate": 0.0029722082225866375, + "loss": 1.3075, + "step": 1647 + }, + { + "epoch": 0.14464427262329568, + "grad_norm": 0.10302734375, + "learning_rate": 0.002972122543656327, + "loss": 1.3091, + "step": 1648 + }, + { + "epoch": 0.14473204220619817, + "grad_norm": 0.1923828125, + "learning_rate": 0.0029720367342377526, + "loss": 1.3056, + "step": 1649 + }, + { + "epoch": 0.14481981178910067, + "grad_norm": 0.099609375, + "learning_rate": 0.002971950794339384, + "loss": 1.3202, + "step": 1650 + }, + { + "epoch": 0.14490758137200316, + "grad_norm": 0.08837890625, + "learning_rate": 0.002971864723969702, + "loss": 1.3596, + "step": 1651 + }, + { + "epoch": 0.14499535095490562, + "grad_norm": 0.11181640625, + "learning_rate": 0.002971778523137203, + "loss": 1.3292, + "step": 1652 + }, + { + "epoch": 0.1450831205378081, + "grad_norm": 0.10986328125, + "learning_rate": 0.002971692191850393, + "loss": 1.3106, + "step": 1653 + }, + { + "epoch": 0.1451708901207106, + "grad_norm": 0.10888671875, + "learning_rate": 0.0029716057301177935, + "loss": 1.3506, + "step": 1654 + }, + { + "epoch": 0.1452586597036131, + "grad_norm": 0.1728515625, + "learning_rate": 0.002971519137947938, + "loss": 1.3225, + "step": 1655 + }, + { + "epoch": 0.1453464292865156, + "grad_norm": 0.0927734375, + "learning_rate": 0.0029714324153493725, + "loss": 1.3785, + "step": 1656 + }, + { + "epoch": 0.14543419886941805, + "grad_norm": 0.1689453125, + "learning_rate": 0.0029713455623306562, + "loss": 1.328, + "step": 1657 + }, + { + "epoch": 0.14552196845232054, + "grad_norm": 0.1845703125, + "learning_rate": 0.002971258578900361, + "loss": 1.3539, + "step": 1658 + }, + { + "epoch": 0.14560973803522304, + "grad_norm": 0.09619140625, + "learning_rate": 0.002971171465067072, + "loss": 1.3286, + "step": 1659 + }, + { + "epoch": 0.14569750761812553, + "grad_norm": 0.16015625, + "learning_rate": 0.0029710842208393873, + "loss": 1.3292, + "step": 1660 + }, + { + "epoch": 0.145785277201028, + "grad_norm": 0.1533203125, + "learning_rate": 0.0029709968462259175, + "loss": 1.3318, + "step": 1661 + }, + { + "epoch": 0.14587304678393048, + "grad_norm": 0.140625, + "learning_rate": 0.0029709093412352856, + "loss": 1.304, + "step": 1662 + }, + { + "epoch": 0.14596081636683297, + "grad_norm": 0.19140625, + "learning_rate": 0.002970821705876128, + "loss": 1.3398, + "step": 1663 + }, + { + "epoch": 0.14604858594973547, + "grad_norm": 0.09814453125, + "learning_rate": 0.0029707339401570947, + "loss": 1.3355, + "step": 1664 + }, + { + "epoch": 0.14613635553263793, + "grad_norm": 0.0986328125, + "learning_rate": 0.002970646044086847, + "loss": 1.3437, + "step": 1665 + }, + { + "epoch": 0.14622412511554042, + "grad_norm": 0.11474609375, + "learning_rate": 0.0029705580176740604, + "loss": 1.3, + "step": 1666 + }, + { + "epoch": 0.1463118946984429, + "grad_norm": 0.150390625, + "learning_rate": 0.0029704698609274226, + "loss": 1.3435, + "step": 1667 + }, + { + "epoch": 0.1463996642813454, + "grad_norm": 0.1513671875, + "learning_rate": 0.0029703815738556347, + "loss": 1.3546, + "step": 1668 + }, + { + "epoch": 0.1464874338642479, + "grad_norm": 0.09765625, + "learning_rate": 0.00297029315646741, + "loss": 1.2785, + "step": 1669 + }, + { + "epoch": 0.14657520344715036, + "grad_norm": 0.09619140625, + "learning_rate": 0.0029702046087714744, + "loss": 1.3239, + "step": 1670 + }, + { + "epoch": 0.14666297303005285, + "grad_norm": 0.0986328125, + "learning_rate": 0.002970115930776568, + "loss": 1.3436, + "step": 1671 + }, + { + "epoch": 0.14675074261295534, + "grad_norm": 0.1123046875, + "learning_rate": 0.002970027122491443, + "loss": 1.3654, + "step": 1672 + }, + { + "epoch": 0.14683851219585783, + "grad_norm": 0.09619140625, + "learning_rate": 0.0029699381839248633, + "loss": 1.3356, + "step": 1673 + }, + { + "epoch": 0.1469262817787603, + "grad_norm": 0.103515625, + "learning_rate": 0.0029698491150856082, + "loss": 1.3234, + "step": 1674 + }, + { + "epoch": 0.1470140513616628, + "grad_norm": 0.1552734375, + "learning_rate": 0.0029697599159824676, + "loss": 1.3224, + "step": 1675 + }, + { + "epoch": 0.14710182094456528, + "grad_norm": 0.216796875, + "learning_rate": 0.0029696705866242455, + "loss": 1.3654, + "step": 1676 + }, + { + "epoch": 0.14718959052746777, + "grad_norm": 0.126953125, + "learning_rate": 0.0029695811270197578, + "loss": 1.2866, + "step": 1677 + }, + { + "epoch": 0.14727736011037024, + "grad_norm": 0.095703125, + "learning_rate": 0.002969491537177834, + "loss": 1.3362, + "step": 1678 + }, + { + "epoch": 0.14736512969327273, + "grad_norm": 0.1123046875, + "learning_rate": 0.002969401817107317, + "loss": 1.337, + "step": 1679 + }, + { + "epoch": 0.14745289927617522, + "grad_norm": 0.12158203125, + "learning_rate": 0.0029693119668170614, + "loss": 1.4001, + "step": 1680 + }, + { + "epoch": 0.1475406688590777, + "grad_norm": 0.0888671875, + "learning_rate": 0.0029692219863159345, + "loss": 1.3351, + "step": 1681 + }, + { + "epoch": 0.1476284384419802, + "grad_norm": 0.08837890625, + "learning_rate": 0.0029691318756128173, + "loss": 1.3084, + "step": 1682 + }, + { + "epoch": 0.14771620802488267, + "grad_norm": 0.1220703125, + "learning_rate": 0.002969041634716604, + "loss": 1.3714, + "step": 1683 + }, + { + "epoch": 0.14780397760778516, + "grad_norm": 0.1572265625, + "learning_rate": 0.0029689512636362006, + "loss": 1.2869, + "step": 1684 + }, + { + "epoch": 0.14789174719068765, + "grad_norm": 0.109375, + "learning_rate": 0.002968860762380526, + "loss": 1.3356, + "step": 1685 + }, + { + "epoch": 0.14797951677359014, + "grad_norm": 0.224609375, + "learning_rate": 0.0029687701309585126, + "loss": 1.3372, + "step": 1686 + }, + { + "epoch": 0.1480672863564926, + "grad_norm": 0.162109375, + "learning_rate": 0.0029686793693791055, + "loss": 1.3333, + "step": 1687 + }, + { + "epoch": 0.1481550559393951, + "grad_norm": 0.08251953125, + "learning_rate": 0.002968588477651262, + "loss": 1.3643, + "step": 1688 + }, + { + "epoch": 0.1482428255222976, + "grad_norm": 0.1845703125, + "learning_rate": 0.0029684974557839536, + "loss": 1.3312, + "step": 1689 + }, + { + "epoch": 0.14833059510520008, + "grad_norm": 0.1259765625, + "learning_rate": 0.002968406303786163, + "loss": 1.3926, + "step": 1690 + }, + { + "epoch": 0.14841836468810257, + "grad_norm": 0.087890625, + "learning_rate": 0.0029683150216668875, + "loss": 1.3173, + "step": 1691 + }, + { + "epoch": 0.14850613427100504, + "grad_norm": 0.10546875, + "learning_rate": 0.002968223609435135, + "loss": 1.3306, + "step": 1692 + }, + { + "epoch": 0.14859390385390753, + "grad_norm": 0.1494140625, + "learning_rate": 0.0029681320670999285, + "loss": 1.3116, + "step": 1693 + }, + { + "epoch": 0.14868167343681002, + "grad_norm": 0.0888671875, + "learning_rate": 0.0029680403946703024, + "loss": 1.3639, + "step": 1694 + }, + { + "epoch": 0.1487694430197125, + "grad_norm": 0.189453125, + "learning_rate": 0.0029679485921553046, + "loss": 1.38, + "step": 1695 + }, + { + "epoch": 0.14885721260261497, + "grad_norm": 0.2451171875, + "learning_rate": 0.0029678566595639964, + "loss": 1.293, + "step": 1696 + }, + { + "epoch": 0.14894498218551747, + "grad_norm": 0.1142578125, + "learning_rate": 0.0029677645969054495, + "loss": 1.3172, + "step": 1697 + }, + { + "epoch": 0.14903275176841996, + "grad_norm": 0.126953125, + "learning_rate": 0.0029676724041887512, + "loss": 1.3452, + "step": 1698 + }, + { + "epoch": 0.14912052135132245, + "grad_norm": 0.1474609375, + "learning_rate": 0.0029675800814230003, + "loss": 1.3612, + "step": 1699 + }, + { + "epoch": 0.1492082909342249, + "grad_norm": 0.109375, + "learning_rate": 0.0029674876286173092, + "loss": 1.3398, + "step": 1700 + }, + { + "epoch": 0.1492960605171274, + "grad_norm": 0.18359375, + "learning_rate": 0.0029673950457808017, + "loss": 1.3592, + "step": 1701 + }, + { + "epoch": 0.1493838301000299, + "grad_norm": 0.185546875, + "learning_rate": 0.002967302332922616, + "loss": 1.375, + "step": 1702 + }, + { + "epoch": 0.1494715996829324, + "grad_norm": 0.095703125, + "learning_rate": 0.002967209490051903, + "loss": 1.3833, + "step": 1703 + }, + { + "epoch": 0.14955936926583488, + "grad_norm": 0.12890625, + "learning_rate": 0.002967116517177824, + "loss": 1.3336, + "step": 1704 + }, + { + "epoch": 0.14964713884873734, + "grad_norm": 0.1494140625, + "learning_rate": 0.0029670234143095568, + "loss": 1.3037, + "step": 1705 + }, + { + "epoch": 0.14973490843163983, + "grad_norm": 0.1474609375, + "learning_rate": 0.00296693018145629, + "loss": 1.3435, + "step": 1706 + }, + { + "epoch": 0.14982267801454233, + "grad_norm": 0.169921875, + "learning_rate": 0.002966836818627225, + "loss": 1.4144, + "step": 1707 + }, + { + "epoch": 0.14991044759744482, + "grad_norm": 0.1572265625, + "learning_rate": 0.002966743325831577, + "loss": 1.3661, + "step": 1708 + }, + { + "epoch": 0.14999821718034728, + "grad_norm": 0.107421875, + "learning_rate": 0.0029666497030785724, + "loss": 1.3676, + "step": 1709 + }, + { + "epoch": 0.15008598676324977, + "grad_norm": 0.0927734375, + "learning_rate": 0.0029665559503774517, + "loss": 1.3522, + "step": 1710 + }, + { + "epoch": 0.15017375634615227, + "grad_norm": 0.1220703125, + "learning_rate": 0.002966462067737468, + "loss": 1.3386, + "step": 1711 + }, + { + "epoch": 0.15026152592905476, + "grad_norm": 0.1328125, + "learning_rate": 0.0029663680551678877, + "loss": 1.3055, + "step": 1712 + }, + { + "epoch": 0.15034929551195722, + "grad_norm": 0.07470703125, + "learning_rate": 0.002966273912677988, + "loss": 1.3126, + "step": 1713 + }, + { + "epoch": 0.1504370650948597, + "grad_norm": 0.09326171875, + "learning_rate": 0.002966179640277062, + "loss": 1.3661, + "step": 1714 + }, + { + "epoch": 0.1505248346777622, + "grad_norm": 0.134765625, + "learning_rate": 0.002966085237974414, + "loss": 1.3166, + "step": 1715 + }, + { + "epoch": 0.1506126042606647, + "grad_norm": 0.0966796875, + "learning_rate": 0.00296599070577936, + "loss": 1.2842, + "step": 1716 + }, + { + "epoch": 0.1507003738435672, + "grad_norm": 0.140625, + "learning_rate": 0.0029658960437012297, + "loss": 1.3629, + "step": 1717 + }, + { + "epoch": 0.15078814342646965, + "grad_norm": 0.1630859375, + "learning_rate": 0.002965801251749367, + "loss": 1.2343, + "step": 1718 + }, + { + "epoch": 0.15087591300937214, + "grad_norm": 0.1640625, + "learning_rate": 0.0029657063299331275, + "loss": 1.3709, + "step": 1719 + }, + { + "epoch": 0.15096368259227463, + "grad_norm": 0.2275390625, + "learning_rate": 0.002965611278261879, + "loss": 1.3609, + "step": 1720 + }, + { + "epoch": 0.15105145217517713, + "grad_norm": 0.1962890625, + "learning_rate": 0.0029655160967450036, + "loss": 1.3305, + "step": 1721 + }, + { + "epoch": 0.1511392217580796, + "grad_norm": 0.1416015625, + "learning_rate": 0.0029654207853918937, + "loss": 1.3748, + "step": 1722 + }, + { + "epoch": 0.15122699134098208, + "grad_norm": 0.2041015625, + "learning_rate": 0.0029653253442119575, + "loss": 1.3154, + "step": 1723 + }, + { + "epoch": 0.15131476092388457, + "grad_norm": 0.09521484375, + "learning_rate": 0.002965229773214614, + "loss": 1.3339, + "step": 1724 + }, + { + "epoch": 0.15140253050678706, + "grad_norm": 0.15625, + "learning_rate": 0.002965134072409297, + "loss": 1.2991, + "step": 1725 + }, + { + "epoch": 0.15149030008968956, + "grad_norm": 0.10693359375, + "learning_rate": 0.00296503824180545, + "loss": 1.3629, + "step": 1726 + }, + { + "epoch": 0.15157806967259202, + "grad_norm": 0.0927734375, + "learning_rate": 0.0029649422814125317, + "loss": 1.3489, + "step": 1727 + }, + { + "epoch": 0.1516658392554945, + "grad_norm": 0.078125, + "learning_rate": 0.0029648461912400136, + "loss": 1.2968, + "step": 1728 + }, + { + "epoch": 0.151753608838397, + "grad_norm": 0.12060546875, + "learning_rate": 0.002964749971297379, + "loss": 1.312, + "step": 1729 + }, + { + "epoch": 0.1518413784212995, + "grad_norm": 0.177734375, + "learning_rate": 0.002964653621594124, + "loss": 1.3319, + "step": 1730 + }, + { + "epoch": 0.15192914800420196, + "grad_norm": 0.177734375, + "learning_rate": 0.0029645571421397588, + "loss": 1.3371, + "step": 1731 + }, + { + "epoch": 0.15201691758710445, + "grad_norm": 0.09619140625, + "learning_rate": 0.002964460532943805, + "loss": 1.3227, + "step": 1732 + }, + { + "epoch": 0.15210468717000694, + "grad_norm": 0.091796875, + "learning_rate": 0.002964363794015798, + "loss": 1.3408, + "step": 1733 + }, + { + "epoch": 0.15219245675290943, + "grad_norm": 0.0927734375, + "learning_rate": 0.0029642669253652845, + "loss": 1.285, + "step": 1734 + }, + { + "epoch": 0.1522802263358119, + "grad_norm": 0.10009765625, + "learning_rate": 0.002964169927001826, + "loss": 1.3042, + "step": 1735 + }, + { + "epoch": 0.1523679959187144, + "grad_norm": 0.1044921875, + "learning_rate": 0.0029640727989349957, + "loss": 1.3264, + "step": 1736 + }, + { + "epoch": 0.15245576550161688, + "grad_norm": 0.08837890625, + "learning_rate": 0.0029639755411743794, + "loss": 1.3388, + "step": 1737 + }, + { + "epoch": 0.15254353508451937, + "grad_norm": 0.07421875, + "learning_rate": 0.002963878153729577, + "loss": 1.2758, + "step": 1738 + }, + { + "epoch": 0.15263130466742186, + "grad_norm": 0.09326171875, + "learning_rate": 0.002963780636610199, + "loss": 1.3148, + "step": 1739 + }, + { + "epoch": 0.15271907425032433, + "grad_norm": 0.095703125, + "learning_rate": 0.002963682989825871, + "loss": 1.3109, + "step": 1740 + }, + { + "epoch": 0.15280684383322682, + "grad_norm": 0.091796875, + "learning_rate": 0.002963585213386229, + "loss": 1.3591, + "step": 1741 + }, + { + "epoch": 0.1528946134161293, + "grad_norm": 0.171875, + "learning_rate": 0.0029634873073009255, + "loss": 1.3326, + "step": 1742 + }, + { + "epoch": 0.1529823829990318, + "grad_norm": 0.10888671875, + "learning_rate": 0.0029633892715796206, + "loss": 1.4084, + "step": 1743 + }, + { + "epoch": 0.15307015258193427, + "grad_norm": 0.11083984375, + "learning_rate": 0.0029632911062319922, + "loss": 1.3302, + "step": 1744 + }, + { + "epoch": 0.15315792216483676, + "grad_norm": 0.0888671875, + "learning_rate": 0.002963192811267728, + "loss": 1.323, + "step": 1745 + }, + { + "epoch": 0.15324569174773925, + "grad_norm": 0.0908203125, + "learning_rate": 0.002963094386696529, + "loss": 1.3406, + "step": 1746 + }, + { + "epoch": 0.15333346133064174, + "grad_norm": 0.1845703125, + "learning_rate": 0.0029629958325281098, + "loss": 1.3364, + "step": 1747 + }, + { + "epoch": 0.1534212309135442, + "grad_norm": 0.20703125, + "learning_rate": 0.002962897148772197, + "loss": 1.3756, + "step": 1748 + }, + { + "epoch": 0.1535090004964467, + "grad_norm": 0.08251953125, + "learning_rate": 0.002962798335438531, + "loss": 1.3815, + "step": 1749 + }, + { + "epoch": 0.1535967700793492, + "grad_norm": 0.158203125, + "learning_rate": 0.0029626993925368633, + "loss": 1.2959, + "step": 1750 + }, + { + "epoch": 0.15368453966225168, + "grad_norm": 0.19921875, + "learning_rate": 0.0029626003200769603, + "loss": 1.3421, + "step": 1751 + }, + { + "epoch": 0.15377230924515417, + "grad_norm": 0.11572265625, + "learning_rate": 0.0029625011180685985, + "loss": 1.2874, + "step": 1752 + }, + { + "epoch": 0.15386007882805663, + "grad_norm": 0.10400390625, + "learning_rate": 0.00296240178652157, + "loss": 1.4442, + "step": 1753 + }, + { + "epoch": 0.15394784841095913, + "grad_norm": 0.13671875, + "learning_rate": 0.0029623023254456786, + "loss": 1.3041, + "step": 1754 + }, + { + "epoch": 0.15403561799386162, + "grad_norm": 0.1005859375, + "learning_rate": 0.0029622027348507394, + "loss": 1.3858, + "step": 1755 + }, + { + "epoch": 0.1541233875767641, + "grad_norm": 0.1181640625, + "learning_rate": 0.002962103014746583, + "loss": 1.2826, + "step": 1756 + }, + { + "epoch": 0.15421115715966657, + "grad_norm": 0.123046875, + "learning_rate": 0.002962003165143051, + "loss": 1.3288, + "step": 1757 + }, + { + "epoch": 0.15429892674256906, + "grad_norm": 0.09912109375, + "learning_rate": 0.0029619031860499976, + "loss": 1.3348, + "step": 1758 + }, + { + "epoch": 0.15438669632547156, + "grad_norm": 0.1787109375, + "learning_rate": 0.00296180307747729, + "loss": 1.3248, + "step": 1759 + }, + { + "epoch": 0.15447446590837405, + "grad_norm": 0.189453125, + "learning_rate": 0.00296170283943481, + "loss": 1.3364, + "step": 1760 + }, + { + "epoch": 0.15456223549127654, + "grad_norm": 0.12353515625, + "learning_rate": 0.0029616024719324495, + "loss": 1.2944, + "step": 1761 + }, + { + "epoch": 0.154650005074179, + "grad_norm": 0.18359375, + "learning_rate": 0.002961501974980115, + "loss": 1.3995, + "step": 1762 + }, + { + "epoch": 0.1547377746570815, + "grad_norm": 0.27734375, + "learning_rate": 0.002961401348587725, + "loss": 1.3033, + "step": 1763 + }, + { + "epoch": 0.154825544239984, + "grad_norm": 0.109375, + "learning_rate": 0.0029613005927652107, + "loss": 1.3228, + "step": 1764 + }, + { + "epoch": 0.15491331382288648, + "grad_norm": 0.16015625, + "learning_rate": 0.0029611997075225166, + "loss": 1.3379, + "step": 1765 + }, + { + "epoch": 0.15500108340578894, + "grad_norm": 0.140625, + "learning_rate": 0.002961098692869599, + "loss": 1.3414, + "step": 1766 + }, + { + "epoch": 0.15508885298869143, + "grad_norm": 0.126953125, + "learning_rate": 0.0029609975488164284, + "loss": 1.2882, + "step": 1767 + }, + { + "epoch": 0.15517662257159393, + "grad_norm": 0.134765625, + "learning_rate": 0.002960896275372987, + "loss": 1.3297, + "step": 1768 + }, + { + "epoch": 0.15526439215449642, + "grad_norm": 0.1025390625, + "learning_rate": 0.002960794872549271, + "loss": 1.3558, + "step": 1769 + }, + { + "epoch": 0.15535216173739888, + "grad_norm": 0.08837890625, + "learning_rate": 0.002960693340355287, + "loss": 1.292, + "step": 1770 + }, + { + "epoch": 0.15543993132030137, + "grad_norm": 0.09716796875, + "learning_rate": 0.0029605916788010564, + "loss": 1.2973, + "step": 1771 + }, + { + "epoch": 0.15552770090320386, + "grad_norm": 0.12060546875, + "learning_rate": 0.0029604898878966127, + "loss": 1.3015, + "step": 1772 + }, + { + "epoch": 0.15561547048610636, + "grad_norm": 0.1005859375, + "learning_rate": 0.002960387967652003, + "loss": 1.3052, + "step": 1773 + }, + { + "epoch": 0.15570324006900885, + "grad_norm": 0.123046875, + "learning_rate": 0.002960285918077285, + "loss": 1.3675, + "step": 1774 + }, + { + "epoch": 0.1557910096519113, + "grad_norm": 0.0869140625, + "learning_rate": 0.0029601837391825324, + "loss": 1.3843, + "step": 1775 + }, + { + "epoch": 0.1558787792348138, + "grad_norm": 0.1044921875, + "learning_rate": 0.0029600814309778288, + "loss": 1.3903, + "step": 1776 + }, + { + "epoch": 0.1559665488177163, + "grad_norm": 0.173828125, + "learning_rate": 0.002959978993473271, + "loss": 1.3131, + "step": 1777 + }, + { + "epoch": 0.15605431840061879, + "grad_norm": 0.09912109375, + "learning_rate": 0.00295987642667897, + "loss": 1.368, + "step": 1778 + }, + { + "epoch": 0.15614208798352125, + "grad_norm": 0.1787109375, + "learning_rate": 0.002959773730605049, + "loss": 1.3273, + "step": 1779 + }, + { + "epoch": 0.15622985756642374, + "grad_norm": 0.1591796875, + "learning_rate": 0.0029596709052616427, + "loss": 1.2855, + "step": 1780 + }, + { + "epoch": 0.15631762714932623, + "grad_norm": 0.10888671875, + "learning_rate": 0.0029595679506589007, + "loss": 1.3126, + "step": 1781 + }, + { + "epoch": 0.15640539673222872, + "grad_norm": 0.10791015625, + "learning_rate": 0.0029594648668069836, + "loss": 1.3176, + "step": 1782 + }, + { + "epoch": 0.1564931663151312, + "grad_norm": 0.12060546875, + "learning_rate": 0.0029593616537160654, + "loss": 1.2997, + "step": 1783 + }, + { + "epoch": 0.15658093589803368, + "grad_norm": 0.1328125, + "learning_rate": 0.0029592583113963325, + "loss": 1.3273, + "step": 1784 + }, + { + "epoch": 0.15666870548093617, + "grad_norm": 0.1123046875, + "learning_rate": 0.002959154839857985, + "loss": 1.2225, + "step": 1785 + }, + { + "epoch": 0.15675647506383866, + "grad_norm": 0.2373046875, + "learning_rate": 0.0029590512391112355, + "loss": 1.3383, + "step": 1786 + }, + { + "epoch": 0.15684424464674115, + "grad_norm": 0.169921875, + "learning_rate": 0.002958947509166307, + "loss": 1.2893, + "step": 1787 + }, + { + "epoch": 0.15693201422964362, + "grad_norm": 0.107421875, + "learning_rate": 0.00295884365003344, + "loss": 1.3182, + "step": 1788 + }, + { + "epoch": 0.1570197838125461, + "grad_norm": 0.1318359375, + "learning_rate": 0.002958739661722883, + "loss": 1.3575, + "step": 1789 + }, + { + "epoch": 0.1571075533954486, + "grad_norm": 0.1044921875, + "learning_rate": 0.0029586355442448994, + "loss": 1.3134, + "step": 1790 + }, + { + "epoch": 0.1571953229783511, + "grad_norm": 0.10107421875, + "learning_rate": 0.002958531297609766, + "loss": 1.2641, + "step": 1791 + }, + { + "epoch": 0.15728309256125356, + "grad_norm": 0.1728515625, + "learning_rate": 0.002958426921827771, + "loss": 1.3329, + "step": 1792 + }, + { + "epoch": 0.15737086214415605, + "grad_norm": 0.07421875, + "learning_rate": 0.002958322416909216, + "loss": 1.3176, + "step": 1793 + }, + { + "epoch": 0.15745863172705854, + "grad_norm": 0.1865234375, + "learning_rate": 0.002958217782864415, + "loss": 1.3579, + "step": 1794 + }, + { + "epoch": 0.15754640130996103, + "grad_norm": 0.1708984375, + "learning_rate": 0.002958113019703696, + "loss": 1.3458, + "step": 1795 + }, + { + "epoch": 0.15763417089286352, + "grad_norm": 0.0927734375, + "learning_rate": 0.0029580081274373973, + "loss": 1.3286, + "step": 1796 + }, + { + "epoch": 0.157721940475766, + "grad_norm": 0.1796875, + "learning_rate": 0.002957903106075872, + "loss": 1.2778, + "step": 1797 + }, + { + "epoch": 0.15780971005866848, + "grad_norm": 0.10888671875, + "learning_rate": 0.0029577979556294856, + "loss": 1.4001, + "step": 1798 + }, + { + "epoch": 0.15789747964157097, + "grad_norm": 0.1298828125, + "learning_rate": 0.002957692676108615, + "loss": 1.3583, + "step": 1799 + }, + { + "epoch": 0.15798524922447346, + "grad_norm": 0.2421875, + "learning_rate": 0.0029575872675236523, + "loss": 1.3638, + "step": 1800 + }, + { + "epoch": 0.15807301880737593, + "grad_norm": 0.1044921875, + "learning_rate": 0.0029574817298849993, + "loss": 1.3447, + "step": 1801 + }, + { + "epoch": 0.15816078839027842, + "grad_norm": 0.1767578125, + "learning_rate": 0.0029573760632030737, + "loss": 1.3347, + "step": 1802 + }, + { + "epoch": 0.1582485579731809, + "grad_norm": 0.1123046875, + "learning_rate": 0.0029572702674883033, + "loss": 1.338, + "step": 1803 + }, + { + "epoch": 0.1583363275560834, + "grad_norm": 0.1572265625, + "learning_rate": 0.0029571643427511304, + "loss": 1.3664, + "step": 1804 + }, + { + "epoch": 0.15842409713898586, + "grad_norm": 0.1806640625, + "learning_rate": 0.0029570582890020088, + "loss": 1.3042, + "step": 1805 + }, + { + "epoch": 0.15851186672188836, + "grad_norm": 0.076171875, + "learning_rate": 0.002956952106251406, + "loss": 1.3055, + "step": 1806 + }, + { + "epoch": 0.15859963630479085, + "grad_norm": 0.1767578125, + "learning_rate": 0.0029568457945098017, + "loss": 1.3305, + "step": 1807 + }, + { + "epoch": 0.15868740588769334, + "grad_norm": 0.150390625, + "learning_rate": 0.0029567393537876883, + "loss": 1.2891, + "step": 1808 + }, + { + "epoch": 0.15877517547059583, + "grad_norm": 0.0927734375, + "learning_rate": 0.0029566327840955713, + "loss": 1.3102, + "step": 1809 + }, + { + "epoch": 0.1588629450534983, + "grad_norm": 0.2158203125, + "learning_rate": 0.0029565260854439684, + "loss": 1.3204, + "step": 1810 + }, + { + "epoch": 0.1589507146364008, + "grad_norm": 0.11328125, + "learning_rate": 0.0029564192578434103, + "loss": 1.3443, + "step": 1811 + }, + { + "epoch": 0.15903848421930328, + "grad_norm": 0.09814453125, + "learning_rate": 0.0029563123013044415, + "loss": 1.3179, + "step": 1812 + }, + { + "epoch": 0.15912625380220577, + "grad_norm": 0.0859375, + "learning_rate": 0.002956205215837617, + "loss": 1.3436, + "step": 1813 + }, + { + "epoch": 0.15921402338510823, + "grad_norm": 0.07763671875, + "learning_rate": 0.0029560980014535056, + "loss": 1.3426, + "step": 1814 + }, + { + "epoch": 0.15930179296801072, + "grad_norm": 0.07177734375, + "learning_rate": 0.00295599065816269, + "loss": 1.3132, + "step": 1815 + }, + { + "epoch": 0.15938956255091322, + "grad_norm": 0.0869140625, + "learning_rate": 0.002955883185975764, + "loss": 1.2819, + "step": 1816 + }, + { + "epoch": 0.1594773321338157, + "grad_norm": 0.1103515625, + "learning_rate": 0.002955775584903334, + "loss": 1.276, + "step": 1817 + }, + { + "epoch": 0.15956510171671817, + "grad_norm": 0.1513671875, + "learning_rate": 0.0029556678549560213, + "loss": 1.2953, + "step": 1818 + }, + { + "epoch": 0.15965287129962066, + "grad_norm": 0.12060546875, + "learning_rate": 0.0029555599961444577, + "loss": 1.3201, + "step": 1819 + }, + { + "epoch": 0.15974064088252315, + "grad_norm": 0.09130859375, + "learning_rate": 0.0029554520084792875, + "loss": 1.3501, + "step": 1820 + }, + { + "epoch": 0.15982841046542565, + "grad_norm": 0.11279296875, + "learning_rate": 0.00295534389197117, + "loss": 1.3125, + "step": 1821 + }, + { + "epoch": 0.15991618004832814, + "grad_norm": 0.1015625, + "learning_rate": 0.002955235646630775, + "loss": 1.3271, + "step": 1822 + }, + { + "epoch": 0.1600039496312306, + "grad_norm": 0.1474609375, + "learning_rate": 0.0029551272724687863, + "loss": 1.3424, + "step": 1823 + }, + { + "epoch": 0.1600917192141331, + "grad_norm": 0.09619140625, + "learning_rate": 0.0029550187694959, + "loss": 1.3016, + "step": 1824 + }, + { + "epoch": 0.16017948879703559, + "grad_norm": 0.130859375, + "learning_rate": 0.0029549101377228247, + "loss": 1.3332, + "step": 1825 + }, + { + "epoch": 0.16026725837993808, + "grad_norm": 0.1279296875, + "learning_rate": 0.0029548013771602826, + "loss": 1.2631, + "step": 1826 + }, + { + "epoch": 0.16035502796284054, + "grad_norm": 0.10595703125, + "learning_rate": 0.0029546924878190066, + "loss": 1.2696, + "step": 1827 + }, + { + "epoch": 0.16044279754574303, + "grad_norm": 0.09716796875, + "learning_rate": 0.0029545834697097453, + "loss": 1.2918, + "step": 1828 + }, + { + "epoch": 0.16053056712864552, + "grad_norm": 0.08984375, + "learning_rate": 0.0029544743228432572, + "loss": 1.2892, + "step": 1829 + }, + { + "epoch": 0.16061833671154802, + "grad_norm": 0.10888671875, + "learning_rate": 0.0029543650472303147, + "loss": 1.3321, + "step": 1830 + }, + { + "epoch": 0.1607061062944505, + "grad_norm": 0.08837890625, + "learning_rate": 0.002954255642881704, + "loss": 1.3393, + "step": 1831 + }, + { + "epoch": 0.16079387587735297, + "grad_norm": 0.1318359375, + "learning_rate": 0.002954146109808221, + "loss": 1.3037, + "step": 1832 + }, + { + "epoch": 0.16088164546025546, + "grad_norm": 0.09912109375, + "learning_rate": 0.0029540364480206776, + "loss": 1.3358, + "step": 1833 + }, + { + "epoch": 0.16096941504315795, + "grad_norm": 0.08837890625, + "learning_rate": 0.002953926657529897, + "loss": 1.2961, + "step": 1834 + }, + { + "epoch": 0.16105718462606045, + "grad_norm": 0.11767578125, + "learning_rate": 0.0029538167383467142, + "loss": 1.3394, + "step": 1835 + }, + { + "epoch": 0.1611449542089629, + "grad_norm": 0.11865234375, + "learning_rate": 0.0029537066904819784, + "loss": 1.3531, + "step": 1836 + }, + { + "epoch": 0.1612327237918654, + "grad_norm": 0.08837890625, + "learning_rate": 0.0029535965139465504, + "loss": 1.2862, + "step": 1837 + }, + { + "epoch": 0.1613204933747679, + "grad_norm": 0.1240234375, + "learning_rate": 0.002953486208751305, + "loss": 1.3085, + "step": 1838 + }, + { + "epoch": 0.16140826295767038, + "grad_norm": 0.1416015625, + "learning_rate": 0.0029533757749071283, + "loss": 1.3163, + "step": 1839 + }, + { + "epoch": 0.16149603254057285, + "grad_norm": 0.11572265625, + "learning_rate": 0.0029532652124249197, + "loss": 1.2983, + "step": 1840 + }, + { + "epoch": 0.16158380212347534, + "grad_norm": 0.1279296875, + "learning_rate": 0.0029531545213155918, + "loss": 1.3236, + "step": 1841 + }, + { + "epoch": 0.16167157170637783, + "grad_norm": 0.171875, + "learning_rate": 0.002953043701590069, + "loss": 1.3114, + "step": 1842 + }, + { + "epoch": 0.16175934128928032, + "grad_norm": 0.087890625, + "learning_rate": 0.002952932753259288, + "loss": 1.3014, + "step": 1843 + }, + { + "epoch": 0.16184711087218281, + "grad_norm": 0.1044921875, + "learning_rate": 0.0029528216763342, + "loss": 1.3481, + "step": 1844 + }, + { + "epoch": 0.16193488045508528, + "grad_norm": 0.11083984375, + "learning_rate": 0.0029527104708257676, + "loss": 1.2856, + "step": 1845 + }, + { + "epoch": 0.16202265003798777, + "grad_norm": 0.1103515625, + "learning_rate": 0.0029525991367449667, + "loss": 1.3673, + "step": 1846 + }, + { + "epoch": 0.16211041962089026, + "grad_norm": 0.2294921875, + "learning_rate": 0.0029524876741027846, + "loss": 1.3396, + "step": 1847 + }, + { + "epoch": 0.16219818920379275, + "grad_norm": 0.1484375, + "learning_rate": 0.002952376082910223, + "loss": 1.2964, + "step": 1848 + }, + { + "epoch": 0.16228595878669522, + "grad_norm": 0.09130859375, + "learning_rate": 0.002952264363178295, + "loss": 1.2986, + "step": 1849 + }, + { + "epoch": 0.1623737283695977, + "grad_norm": 0.205078125, + "learning_rate": 0.0029521525149180275, + "loss": 1.349, + "step": 1850 + }, + { + "epoch": 0.1624614979525002, + "grad_norm": 0.18359375, + "learning_rate": 0.002952040538140459, + "loss": 1.3361, + "step": 1851 + }, + { + "epoch": 0.1625492675354027, + "grad_norm": 0.0966796875, + "learning_rate": 0.002951928432856641, + "loss": 1.2789, + "step": 1852 + }, + { + "epoch": 0.16263703711830516, + "grad_norm": 0.2001953125, + "learning_rate": 0.002951816199077639, + "loss": 1.3311, + "step": 1853 + }, + { + "epoch": 0.16272480670120765, + "grad_norm": 0.09228515625, + "learning_rate": 0.0029517038368145287, + "loss": 1.3419, + "step": 1854 + }, + { + "epoch": 0.16281257628411014, + "grad_norm": 0.1572265625, + "learning_rate": 0.0029515913460784, + "loss": 1.2982, + "step": 1855 + }, + { + "epoch": 0.16290034586701263, + "grad_norm": 0.09033203125, + "learning_rate": 0.0029514787268803554, + "loss": 1.3098, + "step": 1856 + }, + { + "epoch": 0.16298811544991512, + "grad_norm": 0.169921875, + "learning_rate": 0.0029513659792315106, + "loss": 1.2828, + "step": 1857 + }, + { + "epoch": 0.16307588503281759, + "grad_norm": 0.126953125, + "learning_rate": 0.0029512531031429933, + "loss": 1.3173, + "step": 1858 + }, + { + "epoch": 0.16316365461572008, + "grad_norm": 0.0966796875, + "learning_rate": 0.0029511400986259426, + "loss": 1.3546, + "step": 1859 + }, + { + "epoch": 0.16325142419862257, + "grad_norm": 0.10693359375, + "learning_rate": 0.002951026965691513, + "loss": 1.3284, + "step": 1860 + }, + { + "epoch": 0.16333919378152506, + "grad_norm": 0.12060546875, + "learning_rate": 0.00295091370435087, + "loss": 1.3001, + "step": 1861 + }, + { + "epoch": 0.16342696336442752, + "grad_norm": 0.107421875, + "learning_rate": 0.0029508003146151915, + "loss": 1.3214, + "step": 1862 + }, + { + "epoch": 0.16351473294733002, + "grad_norm": 0.0908203125, + "learning_rate": 0.0029506867964956694, + "loss": 1.2816, + "step": 1863 + }, + { + "epoch": 0.1636025025302325, + "grad_norm": 0.111328125, + "learning_rate": 0.0029505731500035063, + "loss": 1.3581, + "step": 1864 + }, + { + "epoch": 0.163690272113135, + "grad_norm": 0.1337890625, + "learning_rate": 0.0029504593751499197, + "loss": 1.33, + "step": 1865 + }, + { + "epoch": 0.1637780416960375, + "grad_norm": 0.11279296875, + "learning_rate": 0.002950345471946139, + "loss": 1.318, + "step": 1866 + }, + { + "epoch": 0.16386581127893995, + "grad_norm": 0.251953125, + "learning_rate": 0.0029502314404034045, + "loss": 1.2866, + "step": 1867 + }, + { + "epoch": 0.16395358086184245, + "grad_norm": 0.1484375, + "learning_rate": 0.002950117280532972, + "loss": 1.3199, + "step": 1868 + }, + { + "epoch": 0.16404135044474494, + "grad_norm": 0.1259765625, + "learning_rate": 0.0029500029923461087, + "loss": 1.307, + "step": 1869 + }, + { + "epoch": 0.16412912002764743, + "grad_norm": 0.10302734375, + "learning_rate": 0.0029498885758540935, + "loss": 1.2498, + "step": 1870 + }, + { + "epoch": 0.1642168896105499, + "grad_norm": 0.125, + "learning_rate": 0.0029497740310682192, + "loss": 1.3835, + "step": 1871 + }, + { + "epoch": 0.16430465919345238, + "grad_norm": 0.1494140625, + "learning_rate": 0.002949659357999791, + "loss": 1.3665, + "step": 1872 + }, + { + "epoch": 0.16439242877635488, + "grad_norm": 0.12451171875, + "learning_rate": 0.0029495445566601265, + "loss": 1.3354, + "step": 1873 + }, + { + "epoch": 0.16448019835925737, + "grad_norm": 0.08984375, + "learning_rate": 0.0029494296270605566, + "loss": 1.3732, + "step": 1874 + }, + { + "epoch": 0.16456796794215983, + "grad_norm": 0.09765625, + "learning_rate": 0.002949314569212424, + "loss": 1.3693, + "step": 1875 + }, + { + "epoch": 0.16465573752506232, + "grad_norm": 0.07666015625, + "learning_rate": 0.0029491993831270847, + "loss": 1.3408, + "step": 1876 + }, + { + "epoch": 0.16474350710796482, + "grad_norm": 0.1220703125, + "learning_rate": 0.002949084068815907, + "loss": 1.3244, + "step": 1877 + }, + { + "epoch": 0.1648312766908673, + "grad_norm": 0.1640625, + "learning_rate": 0.002948968626290271, + "loss": 1.32, + "step": 1878 + }, + { + "epoch": 0.1649190462737698, + "grad_norm": 0.12109375, + "learning_rate": 0.0029488530555615722, + "loss": 1.2796, + "step": 1879 + }, + { + "epoch": 0.16500681585667226, + "grad_norm": 0.1123046875, + "learning_rate": 0.0029487373566412156, + "loss": 1.3104, + "step": 1880 + }, + { + "epoch": 0.16509458543957475, + "grad_norm": 0.28125, + "learning_rate": 0.0029486215295406216, + "loss": 1.3216, + "step": 1881 + }, + { + "epoch": 0.16518235502247725, + "grad_norm": 0.212890625, + "learning_rate": 0.0029485055742712206, + "loss": 1.3015, + "step": 1882 + }, + { + "epoch": 0.16527012460537974, + "grad_norm": 0.11083984375, + "learning_rate": 0.002948389490844457, + "loss": 1.3027, + "step": 1883 + }, + { + "epoch": 0.1653578941882822, + "grad_norm": 0.10693359375, + "learning_rate": 0.002948273279271789, + "loss": 1.2722, + "step": 1884 + }, + { + "epoch": 0.1654456637711847, + "grad_norm": 0.10986328125, + "learning_rate": 0.0029481569395646843, + "loss": 1.2734, + "step": 1885 + }, + { + "epoch": 0.16553343335408718, + "grad_norm": 0.12255859375, + "learning_rate": 0.002948040471734627, + "loss": 1.3116, + "step": 1886 + }, + { + "epoch": 0.16562120293698968, + "grad_norm": 0.0927734375, + "learning_rate": 0.00294792387579311, + "loss": 1.2624, + "step": 1887 + }, + { + "epoch": 0.16570897251989214, + "grad_norm": 0.09033203125, + "learning_rate": 0.0029478071517516436, + "loss": 1.3011, + "step": 1888 + }, + { + "epoch": 0.16579674210279463, + "grad_norm": 0.1494140625, + "learning_rate": 0.002947690299621746, + "loss": 1.3676, + "step": 1889 + }, + { + "epoch": 0.16588451168569712, + "grad_norm": 0.1015625, + "learning_rate": 0.0029475733194149504, + "loss": 1.3082, + "step": 1890 + }, + { + "epoch": 0.16597228126859961, + "grad_norm": 0.1494140625, + "learning_rate": 0.0029474562111428022, + "loss": 1.3579, + "step": 1891 + }, + { + "epoch": 0.1660600508515021, + "grad_norm": 0.2021484375, + "learning_rate": 0.00294733897481686, + "loss": 1.3564, + "step": 1892 + }, + { + "epoch": 0.16614782043440457, + "grad_norm": 0.0869140625, + "learning_rate": 0.002947221610448694, + "loss": 1.3186, + "step": 1893 + }, + { + "epoch": 0.16623559001730706, + "grad_norm": 0.1005859375, + "learning_rate": 0.002947104118049888, + "loss": 1.3272, + "step": 1894 + }, + { + "epoch": 0.16632335960020955, + "grad_norm": 0.10107421875, + "learning_rate": 0.0029469864976320384, + "loss": 1.2855, + "step": 1895 + }, + { + "epoch": 0.16641112918311204, + "grad_norm": 0.10107421875, + "learning_rate": 0.002946868749206753, + "loss": 1.3089, + "step": 1896 + }, + { + "epoch": 0.1664988987660145, + "grad_norm": 0.1044921875, + "learning_rate": 0.002946750872785654, + "loss": 1.2869, + "step": 1897 + }, + { + "epoch": 0.166586668348917, + "grad_norm": 0.08056640625, + "learning_rate": 0.002946632868380374, + "loss": 1.38, + "step": 1898 + }, + { + "epoch": 0.1666744379318195, + "grad_norm": 0.091796875, + "learning_rate": 0.002946514736002561, + "loss": 1.3421, + "step": 1899 + }, + { + "epoch": 0.16676220751472198, + "grad_norm": 0.109375, + "learning_rate": 0.002946396475663873, + "loss": 1.2534, + "step": 1900 + }, + { + "epoch": 0.16684997709762447, + "grad_norm": 0.10791015625, + "learning_rate": 0.0029462780873759833, + "loss": 1.3187, + "step": 1901 + }, + { + "epoch": 0.16693774668052694, + "grad_norm": 0.099609375, + "learning_rate": 0.0029461595711505746, + "loss": 1.312, + "step": 1902 + }, + { + "epoch": 0.16702551626342943, + "grad_norm": 0.10302734375, + "learning_rate": 0.0029460409269993454, + "loss": 1.2773, + "step": 1903 + }, + { + "epoch": 0.16711328584633192, + "grad_norm": 0.1474609375, + "learning_rate": 0.002945922154934005, + "loss": 1.3131, + "step": 1904 + }, + { + "epoch": 0.1672010554292344, + "grad_norm": 0.126953125, + "learning_rate": 0.0029458032549662754, + "loss": 1.3198, + "step": 1905 + }, + { + "epoch": 0.16728882501213688, + "grad_norm": 0.0791015625, + "learning_rate": 0.0029456842271078916, + "loss": 1.3323, + "step": 1906 + }, + { + "epoch": 0.16737659459503937, + "grad_norm": 0.09912109375, + "learning_rate": 0.0029455650713706015, + "loss": 1.3593, + "step": 1907 + }, + { + "epoch": 0.16746436417794186, + "grad_norm": 0.0693359375, + "learning_rate": 0.0029454457877661653, + "loss": 1.2929, + "step": 1908 + }, + { + "epoch": 0.16755213376084435, + "grad_norm": 0.12353515625, + "learning_rate": 0.0029453263763063557, + "loss": 1.3747, + "step": 1909 + }, + { + "epoch": 0.16763990334374682, + "grad_norm": 0.154296875, + "learning_rate": 0.002945206837002958, + "loss": 1.3061, + "step": 1910 + }, + { + "epoch": 0.1677276729266493, + "grad_norm": 0.08203125, + "learning_rate": 0.0029450871698677703, + "loss": 1.2855, + "step": 1911 + }, + { + "epoch": 0.1678154425095518, + "grad_norm": 0.1962890625, + "learning_rate": 0.0029449673749126033, + "loss": 1.312, + "step": 1912 + }, + { + "epoch": 0.1679032120924543, + "grad_norm": 0.2197265625, + "learning_rate": 0.0029448474521492803, + "loss": 1.3613, + "step": 1913 + }, + { + "epoch": 0.16799098167535678, + "grad_norm": 0.09228515625, + "learning_rate": 0.0029447274015896373, + "loss": 1.345, + "step": 1914 + }, + { + "epoch": 0.16807875125825925, + "grad_norm": 0.1513671875, + "learning_rate": 0.002944607223245523, + "loss": 1.2973, + "step": 1915 + }, + { + "epoch": 0.16816652084116174, + "grad_norm": 0.087890625, + "learning_rate": 0.0029444869171287983, + "loss": 1.3704, + "step": 1916 + }, + { + "epoch": 0.16825429042406423, + "grad_norm": 0.208984375, + "learning_rate": 0.0029443664832513364, + "loss": 1.2957, + "step": 1917 + }, + { + "epoch": 0.16834206000696672, + "grad_norm": 0.0869140625, + "learning_rate": 0.002944245921625024, + "loss": 1.2621, + "step": 1918 + }, + { + "epoch": 0.16842982958986918, + "grad_norm": 0.298828125, + "learning_rate": 0.0029441252322617607, + "loss": 1.382, + "step": 1919 + }, + { + "epoch": 0.16851759917277168, + "grad_norm": 0.263671875, + "learning_rate": 0.0029440044151734573, + "loss": 1.2368, + "step": 1920 + }, + { + "epoch": 0.16860536875567417, + "grad_norm": 0.0830078125, + "learning_rate": 0.0029438834703720386, + "loss": 1.3038, + "step": 1921 + }, + { + "epoch": 0.16869313833857666, + "grad_norm": 0.16015625, + "learning_rate": 0.002943762397869441, + "loss": 1.2904, + "step": 1922 + }, + { + "epoch": 0.16878090792147912, + "grad_norm": 0.11669921875, + "learning_rate": 0.0029436411976776137, + "loss": 1.3509, + "step": 1923 + }, + { + "epoch": 0.16886867750438161, + "grad_norm": 0.08544921875, + "learning_rate": 0.0029435198698085185, + "loss": 1.3115, + "step": 1924 + }, + { + "epoch": 0.1689564470872841, + "grad_norm": 0.126953125, + "learning_rate": 0.002943398414274131, + "loss": 1.3038, + "step": 1925 + }, + { + "epoch": 0.1690442166701866, + "grad_norm": 0.0732421875, + "learning_rate": 0.002943276831086438, + "loss": 1.3011, + "step": 1926 + }, + { + "epoch": 0.1691319862530891, + "grad_norm": 0.10302734375, + "learning_rate": 0.002943155120257438, + "loss": 1.2891, + "step": 1927 + }, + { + "epoch": 0.16921975583599155, + "grad_norm": 0.1083984375, + "learning_rate": 0.0029430332817991446, + "loss": 1.2734, + "step": 1928 + }, + { + "epoch": 0.16930752541889404, + "grad_norm": 0.07763671875, + "learning_rate": 0.002942911315723583, + "loss": 1.3928, + "step": 1929 + }, + { + "epoch": 0.16939529500179654, + "grad_norm": 0.07861328125, + "learning_rate": 0.00294278922204279, + "loss": 1.3, + "step": 1930 + }, + { + "epoch": 0.16948306458469903, + "grad_norm": 0.10107421875, + "learning_rate": 0.0029426670007688164, + "loss": 1.2545, + "step": 1931 + }, + { + "epoch": 0.1695708341676015, + "grad_norm": 0.07080078125, + "learning_rate": 0.002942544651913724, + "loss": 1.3696, + "step": 1932 + }, + { + "epoch": 0.16965860375050398, + "grad_norm": 0.109375, + "learning_rate": 0.0029424221754895895, + "loss": 1.2651, + "step": 1933 + }, + { + "epoch": 0.16974637333340648, + "grad_norm": 0.0947265625, + "learning_rate": 0.0029422995715085, + "loss": 1.3701, + "step": 1934 + }, + { + "epoch": 0.16983414291630897, + "grad_norm": 0.07666015625, + "learning_rate": 0.0029421768399825565, + "loss": 1.2822, + "step": 1935 + }, + { + "epoch": 0.16992191249921146, + "grad_norm": 0.0771484375, + "learning_rate": 0.0029420539809238712, + "loss": 1.2544, + "step": 1936 + }, + { + "epoch": 0.17000968208211392, + "grad_norm": 0.09326171875, + "learning_rate": 0.002941930994344571, + "loss": 1.3308, + "step": 1937 + }, + { + "epoch": 0.1700974516650164, + "grad_norm": 0.0712890625, + "learning_rate": 0.002941807880256792, + "loss": 1.3318, + "step": 1938 + }, + { + "epoch": 0.1701852212479189, + "grad_norm": 0.080078125, + "learning_rate": 0.0029416846386726885, + "loss": 1.3578, + "step": 1939 + }, + { + "epoch": 0.1702729908308214, + "grad_norm": 0.076171875, + "learning_rate": 0.0029415612696044213, + "loss": 1.3668, + "step": 1940 + }, + { + "epoch": 0.17036076041372386, + "grad_norm": 0.12255859375, + "learning_rate": 0.0029414377730641672, + "loss": 1.4032, + "step": 1941 + }, + { + "epoch": 0.17044852999662635, + "grad_norm": 0.2158203125, + "learning_rate": 0.0029413141490641148, + "loss": 1.3287, + "step": 1942 + }, + { + "epoch": 0.17053629957952884, + "grad_norm": 0.12451171875, + "learning_rate": 0.0029411903976164656, + "loss": 1.3229, + "step": 1943 + }, + { + "epoch": 0.17062406916243134, + "grad_norm": 0.1572265625, + "learning_rate": 0.0029410665187334334, + "loss": 1.2777, + "step": 1944 + }, + { + "epoch": 0.1707118387453338, + "grad_norm": 0.0830078125, + "learning_rate": 0.0029409425124272436, + "loss": 1.3409, + "step": 1945 + }, + { + "epoch": 0.1707996083282363, + "grad_norm": 0.150390625, + "learning_rate": 0.002940818378710136, + "loss": 1.3148, + "step": 1946 + }, + { + "epoch": 0.17088737791113878, + "grad_norm": 0.08740234375, + "learning_rate": 0.0029406941175943624, + "loss": 1.2958, + "step": 1947 + }, + { + "epoch": 0.17097514749404127, + "grad_norm": 0.2236328125, + "learning_rate": 0.002940569729092186, + "loss": 1.37, + "step": 1948 + }, + { + "epoch": 0.17106291707694377, + "grad_norm": 0.181640625, + "learning_rate": 0.002940445213215884, + "loss": 1.2833, + "step": 1949 + }, + { + "epoch": 0.17115068665984623, + "grad_norm": 0.080078125, + "learning_rate": 0.0029403205699777453, + "loss": 1.3383, + "step": 1950 + }, + { + "epoch": 0.17123845624274872, + "grad_norm": 0.1767578125, + "learning_rate": 0.0029401957993900724, + "loss": 1.3357, + "step": 1951 + }, + { + "epoch": 0.1713262258256512, + "grad_norm": 0.162109375, + "learning_rate": 0.002940070901465179, + "loss": 1.375, + "step": 1952 + }, + { + "epoch": 0.1714139954085537, + "grad_norm": 0.130859375, + "learning_rate": 0.0029399458762153917, + "loss": 1.28, + "step": 1953 + }, + { + "epoch": 0.17150176499145617, + "grad_norm": 0.2119140625, + "learning_rate": 0.0029398207236530512, + "loss": 1.3448, + "step": 1954 + }, + { + "epoch": 0.17158953457435866, + "grad_norm": 0.0908203125, + "learning_rate": 0.0029396954437905082, + "loss": 1.283, + "step": 1955 + }, + { + "epoch": 0.17167730415726115, + "grad_norm": 0.2255859375, + "learning_rate": 0.0029395700366401283, + "loss": 1.2932, + "step": 1956 + }, + { + "epoch": 0.17176507374016364, + "grad_norm": 0.142578125, + "learning_rate": 0.002939444502214288, + "loss": 1.3213, + "step": 1957 + }, + { + "epoch": 0.17185284332306613, + "grad_norm": 0.1162109375, + "learning_rate": 0.0029393188405253774, + "loss": 1.2877, + "step": 1958 + }, + { + "epoch": 0.1719406129059686, + "grad_norm": 0.1787109375, + "learning_rate": 0.0029391930515857995, + "loss": 1.3419, + "step": 1959 + }, + { + "epoch": 0.1720283824888711, + "grad_norm": 0.1650390625, + "learning_rate": 0.0029390671354079683, + "loss": 1.4361, + "step": 1960 + }, + { + "epoch": 0.17211615207177358, + "grad_norm": 0.083984375, + "learning_rate": 0.002938941092004311, + "loss": 1.335, + "step": 1961 + }, + { + "epoch": 0.17220392165467607, + "grad_norm": 0.185546875, + "learning_rate": 0.002938814921387268, + "loss": 1.3516, + "step": 1962 + }, + { + "epoch": 0.17229169123757854, + "grad_norm": 0.09423828125, + "learning_rate": 0.002938688623569292, + "loss": 1.3127, + "step": 1963 + }, + { + "epoch": 0.17237946082048103, + "grad_norm": 0.146484375, + "learning_rate": 0.002938562198562848, + "loss": 1.2745, + "step": 1964 + }, + { + "epoch": 0.17246723040338352, + "grad_norm": 0.09228515625, + "learning_rate": 0.0029384356463804133, + "loss": 1.3242, + "step": 1965 + }, + { + "epoch": 0.172554999986286, + "grad_norm": 0.12353515625, + "learning_rate": 0.0029383089670344787, + "loss": 1.3244, + "step": 1966 + }, + { + "epoch": 0.17264276956918848, + "grad_norm": 0.076171875, + "learning_rate": 0.0029381821605375465, + "loss": 1.3211, + "step": 1967 + }, + { + "epoch": 0.17273053915209097, + "grad_norm": 0.1083984375, + "learning_rate": 0.0029380552269021322, + "loss": 1.3583, + "step": 1968 + }, + { + "epoch": 0.17281830873499346, + "grad_norm": 0.08251953125, + "learning_rate": 0.002937928166140764, + "loss": 1.3176, + "step": 1969 + }, + { + "epoch": 0.17290607831789595, + "grad_norm": 0.125, + "learning_rate": 0.0029378009782659816, + "loss": 1.4045, + "step": 1970 + }, + { + "epoch": 0.17299384790079844, + "grad_norm": 0.078125, + "learning_rate": 0.0029376736632903376, + "loss": 1.2959, + "step": 1971 + }, + { + "epoch": 0.1730816174837009, + "grad_norm": 0.07080078125, + "learning_rate": 0.002937546221226399, + "loss": 1.3519, + "step": 1972 + }, + { + "epoch": 0.1731693870666034, + "grad_norm": 0.083984375, + "learning_rate": 0.0029374186520867425, + "loss": 1.3616, + "step": 1973 + }, + { + "epoch": 0.1732571566495059, + "grad_norm": 0.10009765625, + "learning_rate": 0.002937290955883959, + "loss": 1.2925, + "step": 1974 + }, + { + "epoch": 0.17334492623240838, + "grad_norm": 0.1201171875, + "learning_rate": 0.0029371631326306517, + "loss": 1.3424, + "step": 1975 + }, + { + "epoch": 0.17343269581531084, + "grad_norm": 0.10791015625, + "learning_rate": 0.0029370351823394363, + "loss": 1.2905, + "step": 1976 + }, + { + "epoch": 0.17352046539821334, + "grad_norm": 0.10107421875, + "learning_rate": 0.002936907105022941, + "loss": 1.3576, + "step": 1977 + }, + { + "epoch": 0.17360823498111583, + "grad_norm": 0.1396484375, + "learning_rate": 0.002936778900693807, + "loss": 1.3014, + "step": 1978 + }, + { + "epoch": 0.17369600456401832, + "grad_norm": 0.07373046875, + "learning_rate": 0.0029366505693646863, + "loss": 1.3876, + "step": 1979 + }, + { + "epoch": 0.17378377414692078, + "grad_norm": 0.087890625, + "learning_rate": 0.0029365221110482457, + "loss": 1.3465, + "step": 1980 + }, + { + "epoch": 0.17387154372982327, + "grad_norm": 0.07861328125, + "learning_rate": 0.002936393525757163, + "loss": 1.2636, + "step": 1981 + }, + { + "epoch": 0.17395931331272577, + "grad_norm": 0.080078125, + "learning_rate": 0.0029362648135041296, + "loss": 1.3364, + "step": 1982 + }, + { + "epoch": 0.17404708289562826, + "grad_norm": 0.06396484375, + "learning_rate": 0.0029361359743018487, + "loss": 1.3762, + "step": 1983 + }, + { + "epoch": 0.17413485247853075, + "grad_norm": 0.09619140625, + "learning_rate": 0.002936007008163036, + "loss": 1.3732, + "step": 1984 + }, + { + "epoch": 0.1742226220614332, + "grad_norm": 0.10791015625, + "learning_rate": 0.0029358779151004194, + "loss": 1.3531, + "step": 1985 + }, + { + "epoch": 0.1743103916443357, + "grad_norm": 0.07373046875, + "learning_rate": 0.0029357486951267415, + "loss": 1.2781, + "step": 1986 + }, + { + "epoch": 0.1743981612272382, + "grad_norm": 0.08056640625, + "learning_rate": 0.002935619348254754, + "loss": 1.2857, + "step": 1987 + }, + { + "epoch": 0.1744859308101407, + "grad_norm": 0.0947265625, + "learning_rate": 0.0029354898744972245, + "loss": 1.2691, + "step": 1988 + }, + { + "epoch": 0.17457370039304315, + "grad_norm": 0.0947265625, + "learning_rate": 0.0029353602738669306, + "loss": 1.3292, + "step": 1989 + }, + { + "epoch": 0.17466146997594564, + "grad_norm": 0.0908203125, + "learning_rate": 0.0029352305463766636, + "loss": 1.2833, + "step": 1990 + }, + { + "epoch": 0.17474923955884814, + "grad_norm": 0.1015625, + "learning_rate": 0.0029351006920392267, + "loss": 1.3149, + "step": 1991 + }, + { + "epoch": 0.17483700914175063, + "grad_norm": 0.103515625, + "learning_rate": 0.002934970710867437, + "loss": 1.2937, + "step": 1992 + }, + { + "epoch": 0.17492477872465312, + "grad_norm": 0.10400390625, + "learning_rate": 0.0029348406028741223, + "loss": 1.2783, + "step": 1993 + }, + { + "epoch": 0.17501254830755558, + "grad_norm": 0.158203125, + "learning_rate": 0.0029347103680721237, + "loss": 1.304, + "step": 1994 + }, + { + "epoch": 0.17510031789045807, + "grad_norm": 0.1376953125, + "learning_rate": 0.002934580006474295, + "loss": 1.3559, + "step": 1995 + }, + { + "epoch": 0.17518808747336057, + "grad_norm": 0.111328125, + "learning_rate": 0.0029344495180935034, + "loss": 1.347, + "step": 1996 + }, + { + "epoch": 0.17527585705626306, + "grad_norm": 0.1708984375, + "learning_rate": 0.0029343189029426256, + "loss": 1.3305, + "step": 1997 + }, + { + "epoch": 0.17536362663916552, + "grad_norm": 0.09423828125, + "learning_rate": 0.0029341881610345545, + "loss": 1.2606, + "step": 1998 + }, + { + "epoch": 0.175451396222068, + "grad_norm": 0.138671875, + "learning_rate": 0.002934057292382193, + "loss": 1.2748, + "step": 1999 + }, + { + "epoch": 0.1755391658049705, + "grad_norm": 0.16796875, + "learning_rate": 0.0029339262969984574, + "loss": 1.2638, + "step": 2000 + }, + { + "epoch": 0.1755391658049705, + "eval_loss": 1.303299069404602, + "eval_runtime": 437.5784, + "eval_samples_per_second": 33.685, + "eval_steps_per_second": 8.421, + "step": 2000 + }, + { + "epoch": 0.175626935387873, + "grad_norm": 0.126953125, + "learning_rate": 0.0029337951748962766, + "loss": 1.3049, + "step": 2001 + }, + { + "epoch": 0.17571470497077546, + "grad_norm": 0.11572265625, + "learning_rate": 0.0029336639260885916, + "loss": 1.3366, + "step": 2002 + }, + { + "epoch": 0.17580247455367795, + "grad_norm": 0.1669921875, + "learning_rate": 0.0029335325505883566, + "loss": 1.3756, + "step": 2003 + }, + { + "epoch": 0.17589024413658044, + "grad_norm": 0.11083984375, + "learning_rate": 0.0029334010484085376, + "loss": 1.3383, + "step": 2004 + }, + { + "epoch": 0.17597801371948293, + "grad_norm": 0.08740234375, + "learning_rate": 0.002933269419562113, + "loss": 1.3419, + "step": 2005 + }, + { + "epoch": 0.17606578330238543, + "grad_norm": 0.10009765625, + "learning_rate": 0.002933137664062074, + "loss": 1.3246, + "step": 2006 + }, + { + "epoch": 0.1761535528852879, + "grad_norm": 0.1025390625, + "learning_rate": 0.002933005781921426, + "loss": 1.2929, + "step": 2007 + }, + { + "epoch": 0.17624132246819038, + "grad_norm": 0.0927734375, + "learning_rate": 0.0029328737731531824, + "loss": 1.3092, + "step": 2008 + }, + { + "epoch": 0.17632909205109287, + "grad_norm": 0.17578125, + "learning_rate": 0.0029327416377703743, + "loss": 1.3364, + "step": 2009 + }, + { + "epoch": 0.17641686163399536, + "grad_norm": 0.22265625, + "learning_rate": 0.0029326093757860417, + "loss": 1.3512, + "step": 2010 + }, + { + "epoch": 0.17650463121689783, + "grad_norm": 0.10888671875, + "learning_rate": 0.0029324769872132394, + "loss": 1.2838, + "step": 2011 + }, + { + "epoch": 0.17659240079980032, + "grad_norm": 0.197265625, + "learning_rate": 0.0029323444720650324, + "loss": 1.272, + "step": 2012 + }, + { + "epoch": 0.1766801703827028, + "grad_norm": 0.201171875, + "learning_rate": 0.0029322118303545, + "loss": 1.3825, + "step": 2013 + }, + { + "epoch": 0.1767679399656053, + "grad_norm": 0.0849609375, + "learning_rate": 0.0029320790620947336, + "loss": 1.2813, + "step": 2014 + }, + { + "epoch": 0.17685570954850777, + "grad_norm": 0.1845703125, + "learning_rate": 0.0029319461672988366, + "loss": 1.3582, + "step": 2015 + }, + { + "epoch": 0.17694347913141026, + "grad_norm": 0.11474609375, + "learning_rate": 0.0029318131459799253, + "loss": 1.2998, + "step": 2016 + }, + { + "epoch": 0.17703124871431275, + "grad_norm": 0.1318359375, + "learning_rate": 0.0029316799981511286, + "loss": 1.3067, + "step": 2017 + }, + { + "epoch": 0.17711901829721524, + "grad_norm": 0.185546875, + "learning_rate": 0.002931546723825587, + "loss": 1.2548, + "step": 2018 + }, + { + "epoch": 0.17720678788011773, + "grad_norm": 0.10107421875, + "learning_rate": 0.0029314133230164546, + "loss": 1.3689, + "step": 2019 + }, + { + "epoch": 0.1772945574630202, + "grad_norm": 0.10546875, + "learning_rate": 0.0029312797957368976, + "loss": 1.3229, + "step": 2020 + }, + { + "epoch": 0.1773823270459227, + "grad_norm": 0.193359375, + "learning_rate": 0.0029311461420000948, + "loss": 1.3033, + "step": 2021 + }, + { + "epoch": 0.17747009662882518, + "grad_norm": 0.1416015625, + "learning_rate": 0.002931012361819237, + "loss": 1.2997, + "step": 2022 + }, + { + "epoch": 0.17755786621172767, + "grad_norm": 0.1533203125, + "learning_rate": 0.002930878455207527, + "loss": 1.3353, + "step": 2023 + }, + { + "epoch": 0.17764563579463014, + "grad_norm": 0.1650390625, + "learning_rate": 0.002930744422178183, + "loss": 1.2805, + "step": 2024 + }, + { + "epoch": 0.17773340537753263, + "grad_norm": 0.103515625, + "learning_rate": 0.002930610262744431, + "loss": 1.3085, + "step": 2025 + }, + { + "epoch": 0.17782117496043512, + "grad_norm": 0.1748046875, + "learning_rate": 0.0029304759769195137, + "loss": 1.304, + "step": 2026 + }, + { + "epoch": 0.1779089445433376, + "grad_norm": 0.1318359375, + "learning_rate": 0.0029303415647166844, + "loss": 1.2915, + "step": 2027 + }, + { + "epoch": 0.1779967141262401, + "grad_norm": 0.125, + "learning_rate": 0.002930207026149208, + "loss": 1.3411, + "step": 2028 + }, + { + "epoch": 0.17808448370914257, + "grad_norm": 0.169921875, + "learning_rate": 0.0029300723612303643, + "loss": 1.3686, + "step": 2029 + }, + { + "epoch": 0.17817225329204506, + "grad_norm": 0.1025390625, + "learning_rate": 0.002929937569973443, + "loss": 1.283, + "step": 2030 + }, + { + "epoch": 0.17826002287494755, + "grad_norm": 0.232421875, + "learning_rate": 0.0029298026523917483, + "loss": 1.3273, + "step": 2031 + }, + { + "epoch": 0.17834779245785004, + "grad_norm": 0.1337890625, + "learning_rate": 0.002929667608498596, + "loss": 1.3028, + "step": 2032 + }, + { + "epoch": 0.1784355620407525, + "grad_norm": 0.2314453125, + "learning_rate": 0.002929532438307314, + "loss": 1.3427, + "step": 2033 + }, + { + "epoch": 0.178523331623655, + "grad_norm": 0.2353515625, + "learning_rate": 0.0029293971418312427, + "loss": 1.3177, + "step": 2034 + }, + { + "epoch": 0.1786111012065575, + "grad_norm": 0.11474609375, + "learning_rate": 0.002929261719083736, + "loss": 1.3875, + "step": 2035 + }, + { + "epoch": 0.17869887078945998, + "grad_norm": 0.1826171875, + "learning_rate": 0.0029291261700781592, + "loss": 1.3412, + "step": 2036 + }, + { + "epoch": 0.17878664037236244, + "grad_norm": 0.10546875, + "learning_rate": 0.0029289904948278916, + "loss": 1.3463, + "step": 2037 + }, + { + "epoch": 0.17887440995526493, + "grad_norm": 0.08935546875, + "learning_rate": 0.002928854693346322, + "loss": 1.3193, + "step": 2038 + }, + { + "epoch": 0.17896217953816743, + "grad_norm": 0.091796875, + "learning_rate": 0.002928718765646855, + "loss": 1.3168, + "step": 2039 + }, + { + "epoch": 0.17904994912106992, + "grad_norm": 0.1005859375, + "learning_rate": 0.002928582711742905, + "loss": 1.3616, + "step": 2040 + }, + { + "epoch": 0.1791377187039724, + "grad_norm": 0.0791015625, + "learning_rate": 0.0029284465316479, + "loss": 1.301, + "step": 2041 + }, + { + "epoch": 0.17922548828687487, + "grad_norm": 0.083984375, + "learning_rate": 0.0029283102253752817, + "loss": 1.299, + "step": 2042 + }, + { + "epoch": 0.17931325786977736, + "grad_norm": 0.09765625, + "learning_rate": 0.002928173792938502, + "loss": 1.3139, + "step": 2043 + }, + { + "epoch": 0.17940102745267986, + "grad_norm": 0.08740234375, + "learning_rate": 0.0029280372343510265, + "loss": 1.3261, + "step": 2044 + }, + { + "epoch": 0.17948879703558235, + "grad_norm": 0.11181640625, + "learning_rate": 0.0029279005496263325, + "loss": 1.3821, + "step": 2045 + }, + { + "epoch": 0.1795765666184848, + "grad_norm": 0.08984375, + "learning_rate": 0.0029277637387779107, + "loss": 1.3539, + "step": 2046 + }, + { + "epoch": 0.1796643362013873, + "grad_norm": 0.1220703125, + "learning_rate": 0.002927626801819264, + "loss": 1.2577, + "step": 2047 + }, + { + "epoch": 0.1797521057842898, + "grad_norm": 0.0908203125, + "learning_rate": 0.0029274897387639074, + "loss": 1.3158, + "step": 2048 + }, + { + "epoch": 0.1798398753671923, + "grad_norm": 0.0966796875, + "learning_rate": 0.002927352549625368, + "loss": 1.2814, + "step": 2049 + }, + { + "epoch": 0.17992764495009475, + "grad_norm": 0.134765625, + "learning_rate": 0.002927215234417186, + "loss": 1.3311, + "step": 2050 + }, + { + "epoch": 0.18001541453299724, + "grad_norm": 0.12109375, + "learning_rate": 0.0029270777931529146, + "loss": 1.3424, + "step": 2051 + }, + { + "epoch": 0.18010318411589973, + "grad_norm": 0.07470703125, + "learning_rate": 0.002926940225846118, + "loss": 1.2519, + "step": 2052 + }, + { + "epoch": 0.18019095369880223, + "grad_norm": 0.0986328125, + "learning_rate": 0.002926802532510373, + "loss": 1.3654, + "step": 2053 + }, + { + "epoch": 0.18027872328170472, + "grad_norm": 0.07470703125, + "learning_rate": 0.002926664713159271, + "loss": 1.3042, + "step": 2054 + }, + { + "epoch": 0.18036649286460718, + "grad_norm": 0.10498046875, + "learning_rate": 0.002926526767806413, + "loss": 1.2686, + "step": 2055 + }, + { + "epoch": 0.18045426244750967, + "grad_norm": 0.10107421875, + "learning_rate": 0.0029263886964654142, + "loss": 1.2894, + "step": 2056 + }, + { + "epoch": 0.18054203203041216, + "grad_norm": 0.08984375, + "learning_rate": 0.002926250499149901, + "loss": 1.3748, + "step": 2057 + }, + { + "epoch": 0.18062980161331466, + "grad_norm": 0.1357421875, + "learning_rate": 0.002926112175873514, + "loss": 1.3336, + "step": 2058 + }, + { + "epoch": 0.18071757119621712, + "grad_norm": 0.10595703125, + "learning_rate": 0.0029259737266499044, + "loss": 1.3166, + "step": 2059 + }, + { + "epoch": 0.1808053407791196, + "grad_norm": 0.10986328125, + "learning_rate": 0.0029258351514927367, + "loss": 1.3143, + "step": 2060 + }, + { + "epoch": 0.1808931103620221, + "grad_norm": 0.1396484375, + "learning_rate": 0.0029256964504156876, + "loss": 1.2732, + "step": 2061 + }, + { + "epoch": 0.1809808799449246, + "grad_norm": 0.111328125, + "learning_rate": 0.002925557623432447, + "loss": 1.318, + "step": 2062 + }, + { + "epoch": 0.18106864952782709, + "grad_norm": 0.16796875, + "learning_rate": 0.002925418670556715, + "loss": 1.3617, + "step": 2063 + }, + { + "epoch": 0.18115641911072955, + "grad_norm": 0.208984375, + "learning_rate": 0.0029252795918022077, + "loss": 1.301, + "step": 2064 + }, + { + "epoch": 0.18124418869363204, + "grad_norm": 0.0791015625, + "learning_rate": 0.0029251403871826506, + "loss": 1.3337, + "step": 2065 + }, + { + "epoch": 0.18133195827653453, + "grad_norm": 0.1494140625, + "learning_rate": 0.002925001056711783, + "loss": 1.2517, + "step": 2066 + }, + { + "epoch": 0.18141972785943702, + "grad_norm": 0.10693359375, + "learning_rate": 0.0029248616004033555, + "loss": 1.3646, + "step": 2067 + }, + { + "epoch": 0.1815074974423395, + "grad_norm": 0.09375, + "learning_rate": 0.0029247220182711323, + "loss": 1.2915, + "step": 2068 + }, + { + "epoch": 0.18159526702524198, + "grad_norm": 0.12890625, + "learning_rate": 0.00292458231032889, + "loss": 1.2812, + "step": 2069 + }, + { + "epoch": 0.18168303660814447, + "grad_norm": 0.1357421875, + "learning_rate": 0.0029244424765904175, + "loss": 1.3036, + "step": 2070 + }, + { + "epoch": 0.18177080619104696, + "grad_norm": 0.09375, + "learning_rate": 0.0029243025170695145, + "loss": 1.2834, + "step": 2071 + }, + { + "epoch": 0.18185857577394943, + "grad_norm": 0.1572265625, + "learning_rate": 0.0029241624317799956, + "loss": 1.3161, + "step": 2072 + }, + { + "epoch": 0.18194634535685192, + "grad_norm": 0.10693359375, + "learning_rate": 0.002924022220735686, + "loss": 1.2891, + "step": 2073 + }, + { + "epoch": 0.1820341149397544, + "grad_norm": 0.1171875, + "learning_rate": 0.0029238818839504247, + "loss": 1.3126, + "step": 2074 + }, + { + "epoch": 0.1821218845226569, + "grad_norm": 0.083984375, + "learning_rate": 0.002923741421438061, + "loss": 1.3688, + "step": 2075 + }, + { + "epoch": 0.1822096541055594, + "grad_norm": 0.11328125, + "learning_rate": 0.0029236008332124597, + "loss": 1.3122, + "step": 2076 + }, + { + "epoch": 0.18229742368846186, + "grad_norm": 0.095703125, + "learning_rate": 0.002923460119287496, + "loss": 1.3137, + "step": 2077 + }, + { + "epoch": 0.18238519327136435, + "grad_norm": 0.08251953125, + "learning_rate": 0.002923319279677057, + "loss": 1.2864, + "step": 2078 + }, + { + "epoch": 0.18247296285426684, + "grad_norm": 0.0947265625, + "learning_rate": 0.002923178314395043, + "loss": 1.2935, + "step": 2079 + }, + { + "epoch": 0.18256073243716933, + "grad_norm": 0.095703125, + "learning_rate": 0.0029230372234553673, + "loss": 1.2647, + "step": 2080 + }, + { + "epoch": 0.1826485020200718, + "grad_norm": 0.0732421875, + "learning_rate": 0.0029228960068719547, + "loss": 1.3071, + "step": 2081 + }, + { + "epoch": 0.1827362716029743, + "grad_norm": 0.10595703125, + "learning_rate": 0.0029227546646587426, + "loss": 1.3071, + "step": 2082 + }, + { + "epoch": 0.18282404118587678, + "grad_norm": 0.08349609375, + "learning_rate": 0.002922613196829681, + "loss": 1.3912, + "step": 2083 + }, + { + "epoch": 0.18291181076877927, + "grad_norm": 0.11083984375, + "learning_rate": 0.002922471603398733, + "loss": 1.3432, + "step": 2084 + }, + { + "epoch": 0.18299958035168173, + "grad_norm": 0.11474609375, + "learning_rate": 0.0029223298843798727, + "loss": 1.3597, + "step": 2085 + }, + { + "epoch": 0.18308734993458423, + "grad_norm": 0.15234375, + "learning_rate": 0.0029221880397870873, + "loss": 1.2975, + "step": 2086 + }, + { + "epoch": 0.18317511951748672, + "grad_norm": 0.11328125, + "learning_rate": 0.0029220460696343753, + "loss": 1.3389, + "step": 2087 + }, + { + "epoch": 0.1832628891003892, + "grad_norm": 0.166015625, + "learning_rate": 0.00292190397393575, + "loss": 1.32, + "step": 2088 + }, + { + "epoch": 0.1833506586832917, + "grad_norm": 0.2001953125, + "learning_rate": 0.002921761752705235, + "loss": 1.336, + "step": 2089 + }, + { + "epoch": 0.18343842826619416, + "grad_norm": 0.08447265625, + "learning_rate": 0.002921619405956867, + "loss": 1.3098, + "step": 2090 + }, + { + "epoch": 0.18352619784909666, + "grad_norm": 0.1181640625, + "learning_rate": 0.002921476933704696, + "loss": 1.2683, + "step": 2091 + }, + { + "epoch": 0.18361396743199915, + "grad_norm": 0.119140625, + "learning_rate": 0.0029213343359627817, + "loss": 1.2809, + "step": 2092 + }, + { + "epoch": 0.18370173701490164, + "grad_norm": 0.11767578125, + "learning_rate": 0.0029211916127451993, + "loss": 1.2894, + "step": 2093 + }, + { + "epoch": 0.1837895065978041, + "grad_norm": 0.10498046875, + "learning_rate": 0.0029210487640660343, + "loss": 1.2965, + "step": 2094 + }, + { + "epoch": 0.1838772761807066, + "grad_norm": 0.0712890625, + "learning_rate": 0.002920905789939386, + "loss": 1.3088, + "step": 2095 + }, + { + "epoch": 0.1839650457636091, + "grad_norm": 0.11669921875, + "learning_rate": 0.0029207626903793643, + "loss": 1.2807, + "step": 2096 + }, + { + "epoch": 0.18405281534651158, + "grad_norm": 0.12353515625, + "learning_rate": 0.0029206194654000936, + "loss": 1.2842, + "step": 2097 + }, + { + "epoch": 0.18414058492941407, + "grad_norm": 0.08203125, + "learning_rate": 0.002920476115015709, + "loss": 1.3278, + "step": 2098 + }, + { + "epoch": 0.18422835451231653, + "grad_norm": 0.1279296875, + "learning_rate": 0.0029203326392403597, + "loss": 1.3635, + "step": 2099 + }, + { + "epoch": 0.18431612409521902, + "grad_norm": 0.1083984375, + "learning_rate": 0.0029201890380882046, + "loss": 1.321, + "step": 2100 + }, + { + "epoch": 0.18440389367812152, + "grad_norm": 0.0908203125, + "learning_rate": 0.0029200453115734177, + "loss": 1.3196, + "step": 2101 + }, + { + "epoch": 0.184491663261024, + "grad_norm": 0.0888671875, + "learning_rate": 0.0029199014597101835, + "loss": 1.308, + "step": 2102 + }, + { + "epoch": 0.18457943284392647, + "grad_norm": 0.064453125, + "learning_rate": 0.0029197574825126998, + "loss": 1.317, + "step": 2103 + }, + { + "epoch": 0.18466720242682896, + "grad_norm": 0.09716796875, + "learning_rate": 0.002919613379995177, + "loss": 1.2931, + "step": 2104 + }, + { + "epoch": 0.18475497200973146, + "grad_norm": 0.1162109375, + "learning_rate": 0.0029194691521718377, + "loss": 1.2302, + "step": 2105 + }, + { + "epoch": 0.18484274159263395, + "grad_norm": 0.06982421875, + "learning_rate": 0.0029193247990569153, + "loss": 1.3406, + "step": 2106 + }, + { + "epoch": 0.1849305111755364, + "grad_norm": 0.08203125, + "learning_rate": 0.0029191803206646584, + "loss": 1.276, + "step": 2107 + }, + { + "epoch": 0.1850182807584389, + "grad_norm": 0.10498046875, + "learning_rate": 0.002919035717009325, + "loss": 1.3149, + "step": 2108 + }, + { + "epoch": 0.1851060503413414, + "grad_norm": 0.1279296875, + "learning_rate": 0.0029188909881051883, + "loss": 1.3338, + "step": 2109 + }, + { + "epoch": 0.18519381992424389, + "grad_norm": 0.10400390625, + "learning_rate": 0.0029187461339665317, + "loss": 1.3204, + "step": 2110 + }, + { + "epoch": 0.18528158950714638, + "grad_norm": 0.11181640625, + "learning_rate": 0.0029186011546076516, + "loss": 1.317, + "step": 2111 + }, + { + "epoch": 0.18536935909004884, + "grad_norm": 0.11962890625, + "learning_rate": 0.0029184560500428573, + "loss": 1.2885, + "step": 2112 + }, + { + "epoch": 0.18545712867295133, + "grad_norm": 0.08251953125, + "learning_rate": 0.0029183108202864697, + "loss": 1.3115, + "step": 2113 + }, + { + "epoch": 0.18554489825585382, + "grad_norm": 0.1591796875, + "learning_rate": 0.002918165465352823, + "loss": 1.3109, + "step": 2114 + }, + { + "epoch": 0.18563266783875632, + "grad_norm": 0.09423828125, + "learning_rate": 0.002918019985256263, + "loss": 1.2992, + "step": 2115 + }, + { + "epoch": 0.18572043742165878, + "grad_norm": 0.1279296875, + "learning_rate": 0.002917874380011147, + "loss": 1.3017, + "step": 2116 + }, + { + "epoch": 0.18580820700456127, + "grad_norm": 0.076171875, + "learning_rate": 0.0029177286496318462, + "loss": 1.3196, + "step": 2117 + }, + { + "epoch": 0.18589597658746376, + "grad_norm": 0.0947265625, + "learning_rate": 0.0029175827941327445, + "loss": 1.2701, + "step": 2118 + }, + { + "epoch": 0.18598374617036625, + "grad_norm": 0.068359375, + "learning_rate": 0.0029174368135282368, + "loss": 1.2962, + "step": 2119 + }, + { + "epoch": 0.18607151575326872, + "grad_norm": 0.07666015625, + "learning_rate": 0.0029172907078327303, + "loss": 1.2666, + "step": 2120 + }, + { + "epoch": 0.1861592853361712, + "grad_norm": 0.1015625, + "learning_rate": 0.002917144477060645, + "loss": 1.2587, + "step": 2121 + }, + { + "epoch": 0.1862470549190737, + "grad_norm": 0.115234375, + "learning_rate": 0.002916998121226414, + "loss": 1.2867, + "step": 2122 + }, + { + "epoch": 0.1863348245019762, + "grad_norm": 0.09716796875, + "learning_rate": 0.0029168516403444817, + "loss": 1.3342, + "step": 2123 + }, + { + "epoch": 0.18642259408487868, + "grad_norm": 0.08056640625, + "learning_rate": 0.0029167050344293052, + "loss": 1.3325, + "step": 2124 + }, + { + "epoch": 0.18651036366778115, + "grad_norm": 0.1357421875, + "learning_rate": 0.002916558303495354, + "loss": 1.3282, + "step": 2125 + }, + { + "epoch": 0.18659813325068364, + "grad_norm": 0.07568359375, + "learning_rate": 0.0029164114475571097, + "loss": 1.2693, + "step": 2126 + }, + { + "epoch": 0.18668590283358613, + "grad_norm": 0.12451171875, + "learning_rate": 0.002916264466629066, + "loss": 1.2907, + "step": 2127 + }, + { + "epoch": 0.18677367241648862, + "grad_norm": 0.07958984375, + "learning_rate": 0.00291611736072573, + "loss": 1.3408, + "step": 2128 + }, + { + "epoch": 0.1868614419993911, + "grad_norm": 0.0810546875, + "learning_rate": 0.00291597012986162, + "loss": 1.345, + "step": 2129 + }, + { + "epoch": 0.18694921158229358, + "grad_norm": 0.12890625, + "learning_rate": 0.002915822774051268, + "loss": 1.3048, + "step": 2130 + }, + { + "epoch": 0.18703698116519607, + "grad_norm": 0.1474609375, + "learning_rate": 0.0029156752933092167, + "loss": 1.3583, + "step": 2131 + }, + { + "epoch": 0.18712475074809856, + "grad_norm": 0.10400390625, + "learning_rate": 0.002915527687650022, + "loss": 1.3022, + "step": 2132 + }, + { + "epoch": 0.18721252033100105, + "grad_norm": 0.09130859375, + "learning_rate": 0.0029153799570882516, + "loss": 1.38, + "step": 2133 + }, + { + "epoch": 0.18730028991390352, + "grad_norm": 0.126953125, + "learning_rate": 0.002915232101638487, + "loss": 1.31, + "step": 2134 + }, + { + "epoch": 0.187388059496806, + "grad_norm": 0.0869140625, + "learning_rate": 0.00291508412131532, + "loss": 1.2774, + "step": 2135 + }, + { + "epoch": 0.1874758290797085, + "grad_norm": 0.1103515625, + "learning_rate": 0.002914936016133355, + "loss": 1.2977, + "step": 2136 + }, + { + "epoch": 0.187563598662611, + "grad_norm": 0.1572265625, + "learning_rate": 0.0029147877861072113, + "loss": 1.3102, + "step": 2137 + }, + { + "epoch": 0.18765136824551346, + "grad_norm": 0.1259765625, + "learning_rate": 0.0029146394312515173, + "loss": 1.2452, + "step": 2138 + }, + { + "epoch": 0.18773913782841595, + "grad_norm": 0.1611328125, + "learning_rate": 0.0029144909515809152, + "loss": 1.3241, + "step": 2139 + }, + { + "epoch": 0.18782690741131844, + "grad_norm": 0.205078125, + "learning_rate": 0.0029143423471100598, + "loss": 1.2632, + "step": 2140 + }, + { + "epoch": 0.18791467699422093, + "grad_norm": 0.09619140625, + "learning_rate": 0.0029141936178536175, + "loss": 1.3414, + "step": 2141 + }, + { + "epoch": 0.1880024465771234, + "grad_norm": 0.2392578125, + "learning_rate": 0.0029140447638262667, + "loss": 1.3056, + "step": 2142 + }, + { + "epoch": 0.18809021616002589, + "grad_norm": 0.142578125, + "learning_rate": 0.0029138957850427002, + "loss": 1.3506, + "step": 2143 + }, + { + "epoch": 0.18817798574292838, + "grad_norm": 0.123046875, + "learning_rate": 0.00291374668151762, + "loss": 1.3226, + "step": 2144 + }, + { + "epoch": 0.18826575532583087, + "grad_norm": 0.154296875, + "learning_rate": 0.002913597453265743, + "loss": 1.3124, + "step": 2145 + }, + { + "epoch": 0.18835352490873336, + "grad_norm": 0.080078125, + "learning_rate": 0.002913448100301797, + "loss": 1.3316, + "step": 2146 + }, + { + "epoch": 0.18844129449163582, + "grad_norm": 0.16796875, + "learning_rate": 0.0029132986226405233, + "loss": 1.2576, + "step": 2147 + }, + { + "epoch": 0.18852906407453832, + "grad_norm": 0.2060546875, + "learning_rate": 0.0029131490202966735, + "loss": 1.347, + "step": 2148 + }, + { + "epoch": 0.1886168336574408, + "grad_norm": 0.0927734375, + "learning_rate": 0.0029129992932850138, + "loss": 1.3147, + "step": 2149 + }, + { + "epoch": 0.1887046032403433, + "grad_norm": 0.1767578125, + "learning_rate": 0.0029128494416203214, + "loss": 1.3429, + "step": 2150 + }, + { + "epoch": 0.18879237282324576, + "grad_norm": 0.1513671875, + "learning_rate": 0.0029126994653173852, + "loss": 1.3109, + "step": 2151 + }, + { + "epoch": 0.18888014240614825, + "grad_norm": 0.1416015625, + "learning_rate": 0.0029125493643910086, + "loss": 1.2686, + "step": 2152 + }, + { + "epoch": 0.18896791198905075, + "grad_norm": 0.20703125, + "learning_rate": 0.0029123991388560052, + "loss": 1.3486, + "step": 2153 + }, + { + "epoch": 0.18905568157195324, + "grad_norm": 0.08837890625, + "learning_rate": 0.002912248788727202, + "loss": 1.2511, + "step": 2154 + }, + { + "epoch": 0.1891434511548557, + "grad_norm": 0.1591796875, + "learning_rate": 0.0029120983140194377, + "loss": 1.3016, + "step": 2155 + }, + { + "epoch": 0.1892312207377582, + "grad_norm": 0.0703125, + "learning_rate": 0.002911947714747564, + "loss": 1.259, + "step": 2156 + }, + { + "epoch": 0.18931899032066069, + "grad_norm": 0.1240234375, + "learning_rate": 0.0029117969909264437, + "loss": 1.2719, + "step": 2157 + }, + { + "epoch": 0.18940675990356318, + "grad_norm": 0.11572265625, + "learning_rate": 0.0029116461425709532, + "loss": 1.3267, + "step": 2158 + }, + { + "epoch": 0.18949452948646567, + "grad_norm": 0.1279296875, + "learning_rate": 0.002911495169695981, + "loss": 1.2936, + "step": 2159 + }, + { + "epoch": 0.18958229906936813, + "grad_norm": 0.1240234375, + "learning_rate": 0.0029113440723164265, + "loss": 1.3098, + "step": 2160 + }, + { + "epoch": 0.18967006865227062, + "grad_norm": 0.09912109375, + "learning_rate": 0.002911192850447203, + "loss": 1.2725, + "step": 2161 + }, + { + "epoch": 0.18975783823517312, + "grad_norm": 0.216796875, + "learning_rate": 0.0029110415041032353, + "loss": 1.3344, + "step": 2162 + }, + { + "epoch": 0.1898456078180756, + "grad_norm": 0.07373046875, + "learning_rate": 0.002910890033299461, + "loss": 1.3558, + "step": 2163 + }, + { + "epoch": 0.18993337740097807, + "grad_norm": 0.1845703125, + "learning_rate": 0.00291073843805083, + "loss": 1.3024, + "step": 2164 + }, + { + "epoch": 0.19002114698388056, + "grad_norm": 0.1259765625, + "learning_rate": 0.0029105867183723028, + "loss": 1.2924, + "step": 2165 + }, + { + "epoch": 0.19010891656678305, + "grad_norm": 0.1025390625, + "learning_rate": 0.002910434874278855, + "loss": 1.344, + "step": 2166 + }, + { + "epoch": 0.19019668614968555, + "grad_norm": 0.1064453125, + "learning_rate": 0.0029102829057854724, + "loss": 1.3312, + "step": 2167 + }, + { + "epoch": 0.19028445573258804, + "grad_norm": 0.099609375, + "learning_rate": 0.002910130812907153, + "loss": 1.2713, + "step": 2168 + }, + { + "epoch": 0.1903722253154905, + "grad_norm": 0.126953125, + "learning_rate": 0.002909978595658909, + "loss": 1.293, + "step": 2169 + }, + { + "epoch": 0.190459994898393, + "grad_norm": 0.0830078125, + "learning_rate": 0.002909826254055763, + "loss": 1.2687, + "step": 2170 + }, + { + "epoch": 0.19054776448129548, + "grad_norm": 0.07958984375, + "learning_rate": 0.0029096737881127506, + "loss": 1.268, + "step": 2171 + }, + { + "epoch": 0.19063553406419798, + "grad_norm": 0.07958984375, + "learning_rate": 0.0029095211978449197, + "loss": 1.3009, + "step": 2172 + }, + { + "epoch": 0.19072330364710044, + "grad_norm": 0.0751953125, + "learning_rate": 0.0029093684832673305, + "loss": 1.2841, + "step": 2173 + }, + { + "epoch": 0.19081107323000293, + "grad_norm": 0.107421875, + "learning_rate": 0.0029092156443950544, + "loss": 1.2893, + "step": 2174 + }, + { + "epoch": 0.19089884281290542, + "grad_norm": 0.08056640625, + "learning_rate": 0.002909062681243177, + "loss": 1.2805, + "step": 2175 + }, + { + "epoch": 0.19098661239580791, + "grad_norm": 0.0888671875, + "learning_rate": 0.002908909593826795, + "loss": 1.2638, + "step": 2176 + }, + { + "epoch": 0.19107438197871038, + "grad_norm": 0.078125, + "learning_rate": 0.002908756382161017, + "loss": 1.2976, + "step": 2177 + }, + { + "epoch": 0.19116215156161287, + "grad_norm": 0.09912109375, + "learning_rate": 0.0029086030462609647, + "loss": 1.3008, + "step": 2178 + }, + { + "epoch": 0.19124992114451536, + "grad_norm": 0.08740234375, + "learning_rate": 0.0029084495861417723, + "loss": 1.2945, + "step": 2179 + }, + { + "epoch": 0.19133769072741785, + "grad_norm": 0.07568359375, + "learning_rate": 0.0029082960018185847, + "loss": 1.3352, + "step": 2180 + }, + { + "epoch": 0.19142546031032034, + "grad_norm": 0.07275390625, + "learning_rate": 0.002908142293306561, + "loss": 1.3138, + "step": 2181 + }, + { + "epoch": 0.1915132298932228, + "grad_norm": 0.0732421875, + "learning_rate": 0.0029079884606208707, + "loss": 1.3149, + "step": 2182 + }, + { + "epoch": 0.1916009994761253, + "grad_norm": 0.10107421875, + "learning_rate": 0.002907834503776697, + "loss": 1.3493, + "step": 2183 + }, + { + "epoch": 0.1916887690590278, + "grad_norm": 0.1455078125, + "learning_rate": 0.002907680422789235, + "loss": 1.374, + "step": 2184 + }, + { + "epoch": 0.19177653864193028, + "grad_norm": 0.12353515625, + "learning_rate": 0.0029075262176736917, + "loss": 1.3089, + "step": 2185 + }, + { + "epoch": 0.19186430822483275, + "grad_norm": 0.095703125, + "learning_rate": 0.0029073718884452863, + "loss": 1.3155, + "step": 2186 + }, + { + "epoch": 0.19195207780773524, + "grad_norm": 0.1376953125, + "learning_rate": 0.0029072174351192507, + "loss": 1.2978, + "step": 2187 + }, + { + "epoch": 0.19203984739063773, + "grad_norm": 0.08056640625, + "learning_rate": 0.002907062857710829, + "loss": 1.2919, + "step": 2188 + }, + { + "epoch": 0.19212761697354022, + "grad_norm": 0.158203125, + "learning_rate": 0.002906908156235277, + "loss": 1.3122, + "step": 2189 + }, + { + "epoch": 0.19221538655644269, + "grad_norm": 0.166015625, + "learning_rate": 0.002906753330707863, + "loss": 1.3184, + "step": 2190 + }, + { + "epoch": 0.19230315613934518, + "grad_norm": 0.087890625, + "learning_rate": 0.002906598381143869, + "loss": 1.3007, + "step": 2191 + }, + { + "epoch": 0.19239092572224767, + "grad_norm": 0.171875, + "learning_rate": 0.002906443307558586, + "loss": 1.3458, + "step": 2192 + }, + { + "epoch": 0.19247869530515016, + "grad_norm": 0.07763671875, + "learning_rate": 0.0029062881099673203, + "loss": 1.314, + "step": 2193 + }, + { + "epoch": 0.19256646488805265, + "grad_norm": 0.11865234375, + "learning_rate": 0.0029061327883853887, + "loss": 1.3517, + "step": 2194 + }, + { + "epoch": 0.19265423447095512, + "grad_norm": 0.125, + "learning_rate": 0.002905977342828122, + "loss": 1.3017, + "step": 2195 + }, + { + "epoch": 0.1927420040538576, + "grad_norm": 0.07080078125, + "learning_rate": 0.00290582177331086, + "loss": 1.2707, + "step": 2196 + }, + { + "epoch": 0.1928297736367601, + "grad_norm": 0.1533203125, + "learning_rate": 0.002905666079848959, + "loss": 1.26, + "step": 2197 + }, + { + "epoch": 0.1929175432196626, + "grad_norm": 0.1669921875, + "learning_rate": 0.002905510262457784, + "loss": 1.2971, + "step": 2198 + }, + { + "epoch": 0.19300531280256505, + "grad_norm": 0.10888671875, + "learning_rate": 0.002905354321152714, + "loss": 1.3218, + "step": 2199 + }, + { + "epoch": 0.19309308238546755, + "grad_norm": 0.076171875, + "learning_rate": 0.0029051982559491394, + "loss": 1.2688, + "step": 2200 + }, + { + "epoch": 0.19318085196837004, + "grad_norm": 0.123046875, + "learning_rate": 0.002905042066862464, + "loss": 1.3785, + "step": 2201 + }, + { + "epoch": 0.19326862155127253, + "grad_norm": 0.1455078125, + "learning_rate": 0.002904885753908102, + "loss": 1.321, + "step": 2202 + }, + { + "epoch": 0.19335639113417502, + "grad_norm": 0.12158203125, + "learning_rate": 0.002904729317101482, + "loss": 1.323, + "step": 2203 + }, + { + "epoch": 0.19344416071707748, + "grad_norm": 0.099609375, + "learning_rate": 0.0029045727564580427, + "loss": 1.2085, + "step": 2204 + }, + { + "epoch": 0.19353193029997998, + "grad_norm": 0.1875, + "learning_rate": 0.0029044160719932364, + "loss": 1.3641, + "step": 2205 + }, + { + "epoch": 0.19361969988288247, + "grad_norm": 0.08349609375, + "learning_rate": 0.002904259263722527, + "loss": 1.3244, + "step": 2206 + }, + { + "epoch": 0.19370746946578496, + "grad_norm": 0.298828125, + "learning_rate": 0.002904102331661392, + "loss": 1.3476, + "step": 2207 + }, + { + "epoch": 0.19379523904868742, + "grad_norm": 0.2314453125, + "learning_rate": 0.0029039452758253185, + "loss": 1.343, + "step": 2208 + }, + { + "epoch": 0.19388300863158991, + "grad_norm": 0.08984375, + "learning_rate": 0.002903788096229808, + "loss": 1.2731, + "step": 2209 + }, + { + "epoch": 0.1939707782144924, + "grad_norm": 0.15625, + "learning_rate": 0.0029036307928903735, + "loss": 1.285, + "step": 2210 + }, + { + "epoch": 0.1940585477973949, + "grad_norm": 0.0712890625, + "learning_rate": 0.0029034733658225404, + "loss": 1.2825, + "step": 2211 + }, + { + "epoch": 0.19414631738029736, + "grad_norm": 0.11328125, + "learning_rate": 0.0029033158150418453, + "loss": 1.2815, + "step": 2212 + }, + { + "epoch": 0.19423408696319985, + "grad_norm": 0.0830078125, + "learning_rate": 0.002903158140563838, + "loss": 1.288, + "step": 2213 + }, + { + "epoch": 0.19432185654610235, + "grad_norm": 0.06982421875, + "learning_rate": 0.0029030003424040814, + "loss": 1.2565, + "step": 2214 + }, + { + "epoch": 0.19440962612900484, + "grad_norm": 0.072265625, + "learning_rate": 0.002902842420578149, + "loss": 1.2907, + "step": 2215 + }, + { + "epoch": 0.19449739571190733, + "grad_norm": 0.1240234375, + "learning_rate": 0.0029026843751016264, + "loss": 1.3151, + "step": 2216 + }, + { + "epoch": 0.1945851652948098, + "grad_norm": 0.09130859375, + "learning_rate": 0.002902526205990113, + "loss": 1.2367, + "step": 2217 + }, + { + "epoch": 0.19467293487771228, + "grad_norm": 0.072265625, + "learning_rate": 0.002902367913259219, + "loss": 1.4069, + "step": 2218 + }, + { + "epoch": 0.19476070446061478, + "grad_norm": 0.06884765625, + "learning_rate": 0.0029022094969245672, + "loss": 1.2718, + "step": 2219 + }, + { + "epoch": 0.19484847404351727, + "grad_norm": 0.06787109375, + "learning_rate": 0.002902050957001793, + "loss": 1.3363, + "step": 2220 + }, + { + "epoch": 0.19493624362641973, + "grad_norm": 0.07080078125, + "learning_rate": 0.002901892293506543, + "loss": 1.3827, + "step": 2221 + }, + { + "epoch": 0.19502401320932222, + "grad_norm": 0.078125, + "learning_rate": 0.0029017335064544774, + "loss": 1.2886, + "step": 2222 + }, + { + "epoch": 0.19511178279222471, + "grad_norm": 0.06591796875, + "learning_rate": 0.002901574595861268, + "loss": 1.271, + "step": 2223 + }, + { + "epoch": 0.1951995523751272, + "grad_norm": 0.0654296875, + "learning_rate": 0.0029014155617425974, + "loss": 1.2646, + "step": 2224 + }, + { + "epoch": 0.19528732195802967, + "grad_norm": 0.083984375, + "learning_rate": 0.0029012564041141628, + "loss": 1.34, + "step": 2225 + }, + { + "epoch": 0.19537509154093216, + "grad_norm": 0.09326171875, + "learning_rate": 0.0029010971229916725, + "loss": 1.2941, + "step": 2226 + }, + { + "epoch": 0.19546286112383465, + "grad_norm": 0.16015625, + "learning_rate": 0.0029009377183908465, + "loss": 1.3545, + "step": 2227 + }, + { + "epoch": 0.19555063070673714, + "grad_norm": 0.06884765625, + "learning_rate": 0.0029007781903274167, + "loss": 1.2947, + "step": 2228 + }, + { + "epoch": 0.19563840028963964, + "grad_norm": 0.14453125, + "learning_rate": 0.002900618538817129, + "loss": 1.3155, + "step": 2229 + }, + { + "epoch": 0.1957261698725421, + "grad_norm": 0.11962890625, + "learning_rate": 0.00290045876387574, + "loss": 1.3905, + "step": 2230 + }, + { + "epoch": 0.1958139394554446, + "grad_norm": 0.1103515625, + "learning_rate": 0.0029002988655190184, + "loss": 1.339, + "step": 2231 + }, + { + "epoch": 0.19590170903834708, + "grad_norm": 0.0771484375, + "learning_rate": 0.0029001388437627468, + "loss": 1.2732, + "step": 2232 + }, + { + "epoch": 0.19598947862124957, + "grad_norm": 0.11181640625, + "learning_rate": 0.0028999786986227175, + "loss": 1.3036, + "step": 2233 + }, + { + "epoch": 0.19607724820415204, + "grad_norm": 0.0908203125, + "learning_rate": 0.0028998184301147365, + "loss": 1.334, + "step": 2234 + }, + { + "epoch": 0.19616501778705453, + "grad_norm": 0.08447265625, + "learning_rate": 0.0028996580382546215, + "loss": 1.3219, + "step": 2235 + }, + { + "epoch": 0.19625278736995702, + "grad_norm": 0.07177734375, + "learning_rate": 0.0028994975230582027, + "loss": 1.2653, + "step": 2236 + }, + { + "epoch": 0.1963405569528595, + "grad_norm": 0.09375, + "learning_rate": 0.002899336884541323, + "loss": 1.3116, + "step": 2237 + }, + { + "epoch": 0.196428326535762, + "grad_norm": 0.11083984375, + "learning_rate": 0.002899176122719836, + "loss": 1.2569, + "step": 2238 + }, + { + "epoch": 0.19651609611866447, + "grad_norm": 0.06298828125, + "learning_rate": 0.002899015237609608, + "loss": 1.3395, + "step": 2239 + }, + { + "epoch": 0.19660386570156696, + "grad_norm": 0.15234375, + "learning_rate": 0.002898854229226518, + "loss": 1.264, + "step": 2240 + }, + { + "epoch": 0.19669163528446945, + "grad_norm": 0.166015625, + "learning_rate": 0.002898693097586458, + "loss": 1.2882, + "step": 2241 + }, + { + "epoch": 0.19677940486737194, + "grad_norm": 0.09716796875, + "learning_rate": 0.0028985318427053293, + "loss": 1.3069, + "step": 2242 + }, + { + "epoch": 0.1968671744502744, + "grad_norm": 0.08349609375, + "learning_rate": 0.0028983704645990484, + "loss": 1.2961, + "step": 2243 + }, + { + "epoch": 0.1969549440331769, + "grad_norm": 0.0888671875, + "learning_rate": 0.0028982089632835417, + "loss": 1.3366, + "step": 2244 + }, + { + "epoch": 0.1970427136160794, + "grad_norm": 0.126953125, + "learning_rate": 0.00289804733877475, + "loss": 1.328, + "step": 2245 + }, + { + "epoch": 0.19713048319898188, + "grad_norm": 0.1259765625, + "learning_rate": 0.002897885591088623, + "loss": 1.2685, + "step": 2246 + }, + { + "epoch": 0.19721825278188435, + "grad_norm": 0.12255859375, + "learning_rate": 0.0028977237202411268, + "loss": 1.3347, + "step": 2247 + }, + { + "epoch": 0.19730602236478684, + "grad_norm": 0.2041015625, + "learning_rate": 0.002897561726248236, + "loss": 1.2983, + "step": 2248 + }, + { + "epoch": 0.19739379194768933, + "grad_norm": 0.0888671875, + "learning_rate": 0.0028973996091259395, + "loss": 1.2672, + "step": 2249 + }, + { + "epoch": 0.19748156153059182, + "grad_norm": 0.1396484375, + "learning_rate": 0.0028972373688902374, + "loss": 1.2969, + "step": 2250 + }, + { + "epoch": 0.1975693311134943, + "grad_norm": 0.09765625, + "learning_rate": 0.002897075005557142, + "loss": 1.2327, + "step": 2251 + }, + { + "epoch": 0.19765710069639678, + "grad_norm": 0.1337890625, + "learning_rate": 0.0028969125191426774, + "loss": 1.3086, + "step": 2252 + }, + { + "epoch": 0.19774487027929927, + "grad_norm": 0.177734375, + "learning_rate": 0.002896749909662881, + "loss": 1.295, + "step": 2253 + }, + { + "epoch": 0.19783263986220176, + "grad_norm": 0.1015625, + "learning_rate": 0.0028965871771338024, + "loss": 1.3236, + "step": 2254 + }, + { + "epoch": 0.19792040944510425, + "grad_norm": 0.10498046875, + "learning_rate": 0.002896424321571501, + "loss": 1.2835, + "step": 2255 + }, + { + "epoch": 0.19800817902800671, + "grad_norm": 0.09130859375, + "learning_rate": 0.0028962613429920517, + "loss": 1.3419, + "step": 2256 + }, + { + "epoch": 0.1980959486109092, + "grad_norm": 0.09716796875, + "learning_rate": 0.0028960982414115385, + "loss": 1.329, + "step": 2257 + }, + { + "epoch": 0.1981837181938117, + "grad_norm": 0.07666015625, + "learning_rate": 0.00289593501684606, + "loss": 1.3221, + "step": 2258 + }, + { + "epoch": 0.1982714877767142, + "grad_norm": 0.0849609375, + "learning_rate": 0.0028957716693117246, + "loss": 1.2858, + "step": 2259 + }, + { + "epoch": 0.19835925735961665, + "grad_norm": 0.08203125, + "learning_rate": 0.002895608198824655, + "loss": 1.3049, + "step": 2260 + }, + { + "epoch": 0.19844702694251914, + "grad_norm": 0.103515625, + "learning_rate": 0.002895444605400985, + "loss": 1.272, + "step": 2261 + }, + { + "epoch": 0.19853479652542164, + "grad_norm": 0.09423828125, + "learning_rate": 0.00289528088905686, + "loss": 1.3099, + "step": 2262 + }, + { + "epoch": 0.19862256610832413, + "grad_norm": 0.1220703125, + "learning_rate": 0.0028951170498084386, + "loss": 1.2792, + "step": 2263 + }, + { + "epoch": 0.19871033569122662, + "grad_norm": 0.080078125, + "learning_rate": 0.002894953087671892, + "loss": 1.3152, + "step": 2264 + }, + { + "epoch": 0.19879810527412908, + "grad_norm": 0.083984375, + "learning_rate": 0.002894789002663401, + "loss": 1.3203, + "step": 2265 + }, + { + "epoch": 0.19888587485703157, + "grad_norm": 0.08544921875, + "learning_rate": 0.0028946247947991607, + "loss": 1.301, + "step": 2266 + }, + { + "epoch": 0.19897364443993407, + "grad_norm": 0.09228515625, + "learning_rate": 0.0028944604640953778, + "loss": 1.3096, + "step": 2267 + }, + { + "epoch": 0.19906141402283656, + "grad_norm": 0.1142578125, + "learning_rate": 0.0028942960105682713, + "loss": 1.33, + "step": 2268 + }, + { + "epoch": 0.19914918360573902, + "grad_norm": 0.11083984375, + "learning_rate": 0.002894131434234072, + "loss": 1.3559, + "step": 2269 + }, + { + "epoch": 0.1992369531886415, + "grad_norm": 0.11279296875, + "learning_rate": 0.002893966735109023, + "loss": 1.276, + "step": 2270 + }, + { + "epoch": 0.199324722771544, + "grad_norm": 0.10595703125, + "learning_rate": 0.0028938019132093793, + "loss": 1.2809, + "step": 2271 + }, + { + "epoch": 0.1994124923544465, + "grad_norm": 0.1484375, + "learning_rate": 0.002893636968551408, + "loss": 1.2869, + "step": 2272 + }, + { + "epoch": 0.199500261937349, + "grad_norm": 0.10107421875, + "learning_rate": 0.002893471901151389, + "loss": 1.217, + "step": 2273 + }, + { + "epoch": 0.19958803152025145, + "grad_norm": 0.1083984375, + "learning_rate": 0.002893306711025614, + "loss": 1.3172, + "step": 2274 + }, + { + "epoch": 0.19967580110315394, + "grad_norm": 0.2177734375, + "learning_rate": 0.0028931413981903857, + "loss": 1.3734, + "step": 2275 + }, + { + "epoch": 0.19976357068605644, + "grad_norm": 0.15625, + "learning_rate": 0.0028929759626620203, + "loss": 1.2834, + "step": 2276 + }, + { + "epoch": 0.19985134026895893, + "grad_norm": 0.107421875, + "learning_rate": 0.0028928104044568448, + "loss": 1.3359, + "step": 2277 + }, + { + "epoch": 0.1999391098518614, + "grad_norm": 0.1962890625, + "learning_rate": 0.0028926447235912015, + "loss": 1.2903, + "step": 2278 + }, + { + "epoch": 0.20002687943476388, + "grad_norm": 0.07421875, + "learning_rate": 0.0028924789200814394, + "loss": 1.4082, + "step": 2279 + }, + { + "epoch": 0.20011464901766637, + "grad_norm": 0.1904296875, + "learning_rate": 0.002892312993943925, + "loss": 1.2767, + "step": 2280 + }, + { + "epoch": 0.20020241860056887, + "grad_norm": 0.1484375, + "learning_rate": 0.0028921469451950337, + "loss": 1.2858, + "step": 2281 + }, + { + "epoch": 0.20029018818347133, + "grad_norm": 0.111328125, + "learning_rate": 0.0028919807738511535, + "loss": 1.3065, + "step": 2282 + }, + { + "epoch": 0.20037795776637382, + "grad_norm": 0.171875, + "learning_rate": 0.0028918144799286853, + "loss": 1.3137, + "step": 2283 + }, + { + "epoch": 0.2004657273492763, + "grad_norm": 0.0732421875, + "learning_rate": 0.0028916480634440414, + "loss": 1.2735, + "step": 2284 + }, + { + "epoch": 0.2005534969321788, + "grad_norm": 0.1865234375, + "learning_rate": 0.0028914815244136466, + "loss": 1.2725, + "step": 2285 + }, + { + "epoch": 0.2006412665150813, + "grad_norm": 0.083984375, + "learning_rate": 0.002891314862853938, + "loss": 1.2455, + "step": 2286 + }, + { + "epoch": 0.20072903609798376, + "grad_norm": 0.2060546875, + "learning_rate": 0.0028911480787813634, + "loss": 1.2959, + "step": 2287 + }, + { + "epoch": 0.20081680568088625, + "grad_norm": 0.0966796875, + "learning_rate": 0.002890981172212385, + "loss": 1.2491, + "step": 2288 + }, + { + "epoch": 0.20090457526378874, + "grad_norm": 0.275390625, + "learning_rate": 0.0028908141431634752, + "loss": 1.3692, + "step": 2289 + }, + { + "epoch": 0.20099234484669123, + "grad_norm": 0.17578125, + "learning_rate": 0.0028906469916511186, + "loss": 1.3203, + "step": 2290 + }, + { + "epoch": 0.2010801144295937, + "grad_norm": 0.1650390625, + "learning_rate": 0.002890479717691814, + "loss": 1.2715, + "step": 2291 + }, + { + "epoch": 0.2011678840124962, + "grad_norm": 0.1455078125, + "learning_rate": 0.002890312321302068, + "loss": 1.2872, + "step": 2292 + }, + { + "epoch": 0.20125565359539868, + "grad_norm": 0.10693359375, + "learning_rate": 0.002890144802498405, + "loss": 1.3064, + "step": 2293 + }, + { + "epoch": 0.20134342317830117, + "grad_norm": 0.11669921875, + "learning_rate": 0.0028899771612973563, + "loss": 1.2813, + "step": 2294 + }, + { + "epoch": 0.20143119276120364, + "grad_norm": 0.1025390625, + "learning_rate": 0.002889809397715468, + "loss": 1.309, + "step": 2295 + }, + { + "epoch": 0.20151896234410613, + "grad_norm": 0.48046875, + "learning_rate": 0.0028896415117692985, + "loss": 1.3348, + "step": 2296 + }, + { + "epoch": 0.20160673192700862, + "grad_norm": 0.107421875, + "learning_rate": 0.0028894735034754163, + "loss": 1.2646, + "step": 2297 + }, + { + "epoch": 0.2016945015099111, + "grad_norm": 0.10595703125, + "learning_rate": 0.0028893053728504038, + "loss": 1.2591, + "step": 2298 + }, + { + "epoch": 0.2017822710928136, + "grad_norm": 0.08203125, + "learning_rate": 0.002889137119910854, + "loss": 1.3292, + "step": 2299 + }, + { + "epoch": 0.20187004067571607, + "grad_norm": 0.125, + "learning_rate": 0.0028889687446733746, + "loss": 1.2715, + "step": 2300 + }, + { + "epoch": 0.20195781025861856, + "grad_norm": 0.07763671875, + "learning_rate": 0.002888800247154582, + "loss": 1.3209, + "step": 2301 + }, + { + "epoch": 0.20204557984152105, + "grad_norm": 0.09619140625, + "learning_rate": 0.0028886316273711065, + "loss": 1.3558, + "step": 2302 + }, + { + "epoch": 0.20213334942442354, + "grad_norm": 0.10009765625, + "learning_rate": 0.0028884628853395908, + "loss": 1.2889, + "step": 2303 + }, + { + "epoch": 0.202221119007326, + "grad_norm": 0.0673828125, + "learning_rate": 0.0028882940210766886, + "loss": 1.319, + "step": 2304 + }, + { + "epoch": 0.2023088885902285, + "grad_norm": 0.08447265625, + "learning_rate": 0.0028881250345990654, + "loss": 1.3286, + "step": 2305 + }, + { + "epoch": 0.202396658173131, + "grad_norm": 0.0771484375, + "learning_rate": 0.0028879559259234015, + "loss": 1.2802, + "step": 2306 + }, + { + "epoch": 0.20248442775603348, + "grad_norm": 0.1015625, + "learning_rate": 0.0028877866950663853, + "loss": 1.3011, + "step": 2307 + }, + { + "epoch": 0.20257219733893597, + "grad_norm": 0.1259765625, + "learning_rate": 0.00288761734204472, + "loss": 1.3207, + "step": 2308 + }, + { + "epoch": 0.20265996692183844, + "grad_norm": 0.10205078125, + "learning_rate": 0.0028874478668751203, + "loss": 1.2711, + "step": 2309 + }, + { + "epoch": 0.20274773650474093, + "grad_norm": 0.09130859375, + "learning_rate": 0.002887278269574312, + "loss": 1.2906, + "step": 2310 + }, + { + "epoch": 0.20283550608764342, + "grad_norm": 0.07861328125, + "learning_rate": 0.002887108550159035, + "loss": 1.2525, + "step": 2311 + }, + { + "epoch": 0.2029232756705459, + "grad_norm": 0.119140625, + "learning_rate": 0.002886938708646039, + "loss": 1.3109, + "step": 2312 + }, + { + "epoch": 0.20301104525344837, + "grad_norm": 0.08740234375, + "learning_rate": 0.002886768745052086, + "loss": 1.3077, + "step": 2313 + }, + { + "epoch": 0.20309881483635087, + "grad_norm": 0.08984375, + "learning_rate": 0.002886598659393952, + "loss": 1.3287, + "step": 2314 + }, + { + "epoch": 0.20318658441925336, + "grad_norm": 0.09521484375, + "learning_rate": 0.0028864284516884227, + "loss": 1.3065, + "step": 2315 + }, + { + "epoch": 0.20327435400215585, + "grad_norm": 0.08740234375, + "learning_rate": 0.002886258121952298, + "loss": 1.2697, + "step": 2316 + }, + { + "epoch": 0.2033621235850583, + "grad_norm": 0.08203125, + "learning_rate": 0.0028860876702023882, + "loss": 1.2881, + "step": 2317 + }, + { + "epoch": 0.2034498931679608, + "grad_norm": 0.09228515625, + "learning_rate": 0.0028859170964555167, + "loss": 1.3198, + "step": 2318 + }, + { + "epoch": 0.2035376627508633, + "grad_norm": 0.083984375, + "learning_rate": 0.002885746400728518, + "loss": 1.3082, + "step": 2319 + }, + { + "epoch": 0.2036254323337658, + "grad_norm": 0.08642578125, + "learning_rate": 0.002885575583038239, + "loss": 1.3452, + "step": 2320 + }, + { + "epoch": 0.20371320191666828, + "grad_norm": 0.1337890625, + "learning_rate": 0.0028854046434015385, + "loss": 1.3227, + "step": 2321 + }, + { + "epoch": 0.20380097149957074, + "grad_norm": 0.1455078125, + "learning_rate": 0.0028852335818352884, + "loss": 1.3368, + "step": 2322 + }, + { + "epoch": 0.20388874108247323, + "grad_norm": 0.1005859375, + "learning_rate": 0.002885062398356371, + "loss": 1.3182, + "step": 2323 + }, + { + "epoch": 0.20397651066537573, + "grad_norm": 0.1279296875, + "learning_rate": 0.0028848910929816824, + "loss": 1.2907, + "step": 2324 + }, + { + "epoch": 0.20406428024827822, + "grad_norm": 0.138671875, + "learning_rate": 0.0028847196657281284, + "loss": 1.3292, + "step": 2325 + }, + { + "epoch": 0.20415204983118068, + "grad_norm": 0.140625, + "learning_rate": 0.0028845481166126295, + "loss": 1.3166, + "step": 2326 + }, + { + "epoch": 0.20423981941408317, + "grad_norm": 0.1279296875, + "learning_rate": 0.0028843764456521156, + "loss": 1.2836, + "step": 2327 + }, + { + "epoch": 0.20432758899698567, + "grad_norm": 0.087890625, + "learning_rate": 0.0028842046528635315, + "loss": 1.3468, + "step": 2328 + }, + { + "epoch": 0.20441535857988816, + "grad_norm": 0.1416015625, + "learning_rate": 0.0028840327382638315, + "loss": 1.3004, + "step": 2329 + }, + { + "epoch": 0.20450312816279062, + "grad_norm": 0.08056640625, + "learning_rate": 0.0028838607018699825, + "loss": 1.2457, + "step": 2330 + }, + { + "epoch": 0.2045908977456931, + "grad_norm": 0.0966796875, + "learning_rate": 0.002883688543698965, + "loss": 1.2878, + "step": 2331 + }, + { + "epoch": 0.2046786673285956, + "grad_norm": 0.1552734375, + "learning_rate": 0.0028835162637677694, + "loss": 1.2904, + "step": 2332 + }, + { + "epoch": 0.2047664369114981, + "grad_norm": 0.080078125, + "learning_rate": 0.0028833438620933997, + "loss": 1.2577, + "step": 2333 + }, + { + "epoch": 0.2048542064944006, + "grad_norm": 0.11767578125, + "learning_rate": 0.00288317133869287, + "loss": 1.3141, + "step": 2334 + }, + { + "epoch": 0.20494197607730305, + "grad_norm": 0.08251953125, + "learning_rate": 0.0028829986935832094, + "loss": 1.2969, + "step": 2335 + }, + { + "epoch": 0.20502974566020554, + "grad_norm": 0.0751953125, + "learning_rate": 0.0028828259267814566, + "loss": 1.329, + "step": 2336 + }, + { + "epoch": 0.20511751524310803, + "grad_norm": 0.080078125, + "learning_rate": 0.0028826530383046626, + "loss": 1.3423, + "step": 2337 + }, + { + "epoch": 0.20520528482601053, + "grad_norm": 0.08740234375, + "learning_rate": 0.0028824800281698907, + "loss": 1.2635, + "step": 2338 + }, + { + "epoch": 0.205293054408913, + "grad_norm": 0.1328125, + "learning_rate": 0.0028823068963942174, + "loss": 1.2605, + "step": 2339 + }, + { + "epoch": 0.20538082399181548, + "grad_norm": 0.0869140625, + "learning_rate": 0.002882133642994729, + "loss": 1.2924, + "step": 2340 + }, + { + "epoch": 0.20546859357471797, + "grad_norm": 0.1328125, + "learning_rate": 0.0028819602679885253, + "loss": 1.3222, + "step": 2341 + }, + { + "epoch": 0.20555636315762046, + "grad_norm": 0.06884765625, + "learning_rate": 0.002881786771392718, + "loss": 1.2976, + "step": 2342 + }, + { + "epoch": 0.20564413274052296, + "grad_norm": 0.09765625, + "learning_rate": 0.00288161315322443, + "loss": 1.2954, + "step": 2343 + }, + { + "epoch": 0.20573190232342542, + "grad_norm": 0.10791015625, + "learning_rate": 0.0028814394135007974, + "loss": 1.3379, + "step": 2344 + }, + { + "epoch": 0.2058196719063279, + "grad_norm": 0.080078125, + "learning_rate": 0.002881265552238967, + "loss": 1.2876, + "step": 2345 + }, + { + "epoch": 0.2059074414892304, + "grad_norm": 0.11376953125, + "learning_rate": 0.0028810915694560987, + "loss": 1.2907, + "step": 2346 + }, + { + "epoch": 0.2059952110721329, + "grad_norm": 0.076171875, + "learning_rate": 0.0028809174651693633, + "loss": 1.3451, + "step": 2347 + }, + { + "epoch": 0.20608298065503536, + "grad_norm": 0.234375, + "learning_rate": 0.0028807432393959448, + "loss": 1.3329, + "step": 2348 + }, + { + "epoch": 0.20617075023793785, + "grad_norm": 0.1708984375, + "learning_rate": 0.002880568892153038, + "loss": 1.3236, + "step": 2349 + }, + { + "epoch": 0.20625851982084034, + "grad_norm": 0.0888671875, + "learning_rate": 0.0028803944234578513, + "loss": 1.3613, + "step": 2350 + }, + { + "epoch": 0.20634628940374283, + "grad_norm": 0.1826171875, + "learning_rate": 0.002880219833327603, + "loss": 1.2599, + "step": 2351 + }, + { + "epoch": 0.2064340589866453, + "grad_norm": 0.12255859375, + "learning_rate": 0.002880045121779525, + "loss": 1.3439, + "step": 2352 + }, + { + "epoch": 0.2065218285695478, + "grad_norm": 0.08251953125, + "learning_rate": 0.0028798702888308604, + "loss": 1.3908, + "step": 2353 + }, + { + "epoch": 0.20660959815245028, + "grad_norm": 0.130859375, + "learning_rate": 0.002879695334498865, + "loss": 1.3702, + "step": 2354 + }, + { + "epoch": 0.20669736773535277, + "grad_norm": 0.08203125, + "learning_rate": 0.0028795202588008054, + "loss": 1.2913, + "step": 2355 + }, + { + "epoch": 0.20678513731825526, + "grad_norm": 0.1376953125, + "learning_rate": 0.002879345061753961, + "loss": 1.2786, + "step": 2356 + }, + { + "epoch": 0.20687290690115773, + "grad_norm": 0.09228515625, + "learning_rate": 0.0028791697433756245, + "loss": 1.3243, + "step": 2357 + }, + { + "epoch": 0.20696067648406022, + "grad_norm": 0.08251953125, + "learning_rate": 0.0028789943036830966, + "loss": 1.3272, + "step": 2358 + }, + { + "epoch": 0.2070484460669627, + "grad_norm": 0.1376953125, + "learning_rate": 0.0028788187426936943, + "loss": 1.3094, + "step": 2359 + }, + { + "epoch": 0.2071362156498652, + "grad_norm": 0.1005859375, + "learning_rate": 0.0028786430604247444, + "loss": 1.2953, + "step": 2360 + }, + { + "epoch": 0.20722398523276767, + "grad_norm": 0.08544921875, + "learning_rate": 0.0028784672568935854, + "loss": 1.3535, + "step": 2361 + }, + { + "epoch": 0.20731175481567016, + "grad_norm": 0.10595703125, + "learning_rate": 0.00287829133211757, + "loss": 1.3137, + "step": 2362 + }, + { + "epoch": 0.20739952439857265, + "grad_norm": 0.06982421875, + "learning_rate": 0.002878115286114059, + "loss": 1.2906, + "step": 2363 + }, + { + "epoch": 0.20748729398147514, + "grad_norm": 0.11083984375, + "learning_rate": 0.0028779391189004294, + "loss": 1.3038, + "step": 2364 + }, + { + "epoch": 0.2075750635643776, + "grad_norm": 0.14453125, + "learning_rate": 0.002877762830494067, + "loss": 1.296, + "step": 2365 + }, + { + "epoch": 0.2076628331472801, + "grad_norm": 0.06689453125, + "learning_rate": 0.0028775864209123715, + "loss": 1.2616, + "step": 2366 + }, + { + "epoch": 0.2077506027301826, + "grad_norm": 0.12060546875, + "learning_rate": 0.0028774098901727537, + "loss": 1.2957, + "step": 2367 + }, + { + "epoch": 0.20783837231308508, + "grad_norm": 0.064453125, + "learning_rate": 0.0028772332382926364, + "loss": 1.3068, + "step": 2368 + }, + { + "epoch": 0.20792614189598757, + "grad_norm": 0.185546875, + "learning_rate": 0.0028770564652894543, + "loss": 1.2917, + "step": 2369 + }, + { + "epoch": 0.20801391147889003, + "grad_norm": 0.1201171875, + "learning_rate": 0.0028768795711806546, + "loss": 1.2785, + "step": 2370 + }, + { + "epoch": 0.20810168106179253, + "grad_norm": 0.1044921875, + "learning_rate": 0.002876702555983695, + "loss": 1.2979, + "step": 2371 + }, + { + "epoch": 0.20818945064469502, + "grad_norm": 0.10595703125, + "learning_rate": 0.002876525419716047, + "loss": 1.2484, + "step": 2372 + }, + { + "epoch": 0.2082772202275975, + "grad_norm": 0.08447265625, + "learning_rate": 0.0028763481623951936, + "loss": 1.3524, + "step": 2373 + }, + { + "epoch": 0.20836498981049997, + "grad_norm": 0.0947265625, + "learning_rate": 0.0028761707840386287, + "loss": 1.2403, + "step": 2374 + }, + { + "epoch": 0.20845275939340246, + "grad_norm": 0.08935546875, + "learning_rate": 0.00287599328466386, + "loss": 1.306, + "step": 2375 + }, + { + "epoch": 0.20854052897630496, + "grad_norm": 0.1298828125, + "learning_rate": 0.002875815664288404, + "loss": 1.2855, + "step": 2376 + }, + { + "epoch": 0.20862829855920745, + "grad_norm": 0.0859375, + "learning_rate": 0.002875637922929793, + "loss": 1.2874, + "step": 2377 + }, + { + "epoch": 0.20871606814210994, + "grad_norm": 0.09033203125, + "learning_rate": 0.002875460060605568, + "loss": 1.3003, + "step": 2378 + }, + { + "epoch": 0.2088038377250124, + "grad_norm": 0.125, + "learning_rate": 0.0028752820773332846, + "loss": 1.2508, + "step": 2379 + }, + { + "epoch": 0.2088916073079149, + "grad_norm": 0.08984375, + "learning_rate": 0.0028751039731305075, + "loss": 1.2825, + "step": 2380 + }, + { + "epoch": 0.2089793768908174, + "grad_norm": 0.1669921875, + "learning_rate": 0.0028749257480148163, + "loss": 1.3611, + "step": 2381 + }, + { + "epoch": 0.20906714647371988, + "grad_norm": 0.185546875, + "learning_rate": 0.002874747402003801, + "loss": 1.2617, + "step": 2382 + }, + { + "epoch": 0.20915491605662234, + "grad_norm": 0.10107421875, + "learning_rate": 0.0028745689351150627, + "loss": 1.3146, + "step": 2383 + }, + { + "epoch": 0.20924268563952483, + "grad_norm": 0.091796875, + "learning_rate": 0.0028743903473662158, + "loss": 1.3093, + "step": 2384 + }, + { + "epoch": 0.20933045522242733, + "grad_norm": 0.10498046875, + "learning_rate": 0.0028742116387748865, + "loss": 1.348, + "step": 2385 + }, + { + "epoch": 0.20941822480532982, + "grad_norm": 0.08984375, + "learning_rate": 0.0028740328093587123, + "loss": 1.2962, + "step": 2386 + }, + { + "epoch": 0.20950599438823228, + "grad_norm": 0.09765625, + "learning_rate": 0.0028738538591353427, + "loss": 1.3539, + "step": 2387 + }, + { + "epoch": 0.20959376397113477, + "grad_norm": 0.08642578125, + "learning_rate": 0.0028736747881224402, + "loss": 1.3226, + "step": 2388 + }, + { + "epoch": 0.20968153355403726, + "grad_norm": 0.07177734375, + "learning_rate": 0.0028734955963376782, + "loss": 1.2698, + "step": 2389 + }, + { + "epoch": 0.20976930313693976, + "grad_norm": 0.1142578125, + "learning_rate": 0.002873316283798741, + "loss": 1.2835, + "step": 2390 + }, + { + "epoch": 0.20985707271984225, + "grad_norm": 0.07421875, + "learning_rate": 0.002873136850523328, + "loss": 1.2798, + "step": 2391 + }, + { + "epoch": 0.2099448423027447, + "grad_norm": 0.1796875, + "learning_rate": 0.0028729572965291474, + "loss": 1.3507, + "step": 2392 + }, + { + "epoch": 0.2100326118856472, + "grad_norm": 0.1669921875, + "learning_rate": 0.0028727776218339203, + "loss": 1.2885, + "step": 2393 + }, + { + "epoch": 0.2101203814685497, + "grad_norm": 0.0830078125, + "learning_rate": 0.00287259782645538, + "loss": 1.314, + "step": 2394 + }, + { + "epoch": 0.21020815105145219, + "grad_norm": 0.12451171875, + "learning_rate": 0.0028724179104112724, + "loss": 1.3207, + "step": 2395 + }, + { + "epoch": 0.21029592063435465, + "grad_norm": 0.1533203125, + "learning_rate": 0.0028722378737193535, + "loss": 1.2802, + "step": 2396 + }, + { + "epoch": 0.21038369021725714, + "grad_norm": 0.0966796875, + "learning_rate": 0.0028720577163973927, + "loss": 1.2236, + "step": 2397 + }, + { + "epoch": 0.21047145980015963, + "grad_norm": 0.1240234375, + "learning_rate": 0.002871877438463171, + "loss": 1.2892, + "step": 2398 + }, + { + "epoch": 0.21055922938306212, + "grad_norm": 0.130859375, + "learning_rate": 0.0028716970399344805, + "loss": 1.3224, + "step": 2399 + }, + { + "epoch": 0.2106469989659646, + "grad_norm": 0.11474609375, + "learning_rate": 0.0028715165208291265, + "loss": 1.2556, + "step": 2400 + }, + { + "epoch": 0.21073476854886708, + "grad_norm": 0.140625, + "learning_rate": 0.002871335881164925, + "loss": 1.3055, + "step": 2401 + }, + { + "epoch": 0.21082253813176957, + "grad_norm": 0.078125, + "learning_rate": 0.0028711551209597043, + "loss": 1.299, + "step": 2402 + }, + { + "epoch": 0.21091030771467206, + "grad_norm": 0.078125, + "learning_rate": 0.0028709742402313054, + "loss": 1.3579, + "step": 2403 + }, + { + "epoch": 0.21099807729757455, + "grad_norm": 0.07177734375, + "learning_rate": 0.0028707932389975804, + "loss": 1.3595, + "step": 2404 + }, + { + "epoch": 0.21108584688047702, + "grad_norm": 0.099609375, + "learning_rate": 0.002870612117276393, + "loss": 1.2872, + "step": 2405 + }, + { + "epoch": 0.2111736164633795, + "grad_norm": 0.09814453125, + "learning_rate": 0.0028704308750856188, + "loss": 1.2803, + "step": 2406 + }, + { + "epoch": 0.211261386046282, + "grad_norm": 0.078125, + "learning_rate": 0.002870249512443147, + "loss": 1.3525, + "step": 2407 + }, + { + "epoch": 0.2113491556291845, + "grad_norm": 0.0791015625, + "learning_rate": 0.002870068029366876, + "loss": 1.2667, + "step": 2408 + }, + { + "epoch": 0.21143692521208696, + "grad_norm": 0.0732421875, + "learning_rate": 0.002869886425874718, + "loss": 1.3334, + "step": 2409 + }, + { + "epoch": 0.21152469479498945, + "grad_norm": 0.140625, + "learning_rate": 0.002869704701984597, + "loss": 1.2823, + "step": 2410 + }, + { + "epoch": 0.21161246437789194, + "grad_norm": 0.103515625, + "learning_rate": 0.0028695228577144483, + "loss": 1.3074, + "step": 2411 + }, + { + "epoch": 0.21170023396079443, + "grad_norm": 0.0966796875, + "learning_rate": 0.0028693408930822186, + "loss": 1.2667, + "step": 2412 + }, + { + "epoch": 0.21178800354369692, + "grad_norm": 0.09716796875, + "learning_rate": 0.002869158808105867, + "loss": 1.3875, + "step": 2413 + }, + { + "epoch": 0.2118757731265994, + "grad_norm": 0.06591796875, + "learning_rate": 0.0028689766028033655, + "loss": 1.302, + "step": 2414 + }, + { + "epoch": 0.21196354270950188, + "grad_norm": 0.0986328125, + "learning_rate": 0.0028687942771926968, + "loss": 1.334, + "step": 2415 + }, + { + "epoch": 0.21205131229240437, + "grad_norm": 0.0771484375, + "learning_rate": 0.0028686118312918553, + "loss": 1.2637, + "step": 2416 + }, + { + "epoch": 0.21213908187530686, + "grad_norm": 0.07568359375, + "learning_rate": 0.0028684292651188475, + "loss": 1.3055, + "step": 2417 + }, + { + "epoch": 0.21222685145820933, + "grad_norm": 0.10986328125, + "learning_rate": 0.0028682465786916927, + "loss": 1.2792, + "step": 2418 + }, + { + "epoch": 0.21231462104111182, + "grad_norm": 0.140625, + "learning_rate": 0.0028680637720284205, + "loss": 1.3173, + "step": 2419 + }, + { + "epoch": 0.2124023906240143, + "grad_norm": 0.09326171875, + "learning_rate": 0.002867880845147074, + "loss": 1.2788, + "step": 2420 + }, + { + "epoch": 0.2124901602069168, + "grad_norm": 0.0869140625, + "learning_rate": 0.0028676977980657066, + "loss": 1.2482, + "step": 2421 + }, + { + "epoch": 0.21257792978981926, + "grad_norm": 0.0732421875, + "learning_rate": 0.0028675146308023854, + "loss": 1.2852, + "step": 2422 + }, + { + "epoch": 0.21266569937272176, + "grad_norm": 0.1494140625, + "learning_rate": 0.002867331343375187, + "loss": 1.21, + "step": 2423 + }, + { + "epoch": 0.21275346895562425, + "grad_norm": 0.08154296875, + "learning_rate": 0.002867147935802202, + "loss": 1.2382, + "step": 2424 + }, + { + "epoch": 0.21284123853852674, + "grad_norm": 0.1708984375, + "learning_rate": 0.002866964408101532, + "loss": 1.3486, + "step": 2425 + }, + { + "epoch": 0.21292900812142923, + "grad_norm": 0.2421875, + "learning_rate": 0.0028667807602912898, + "loss": 1.272, + "step": 2426 + }, + { + "epoch": 0.2130167777043317, + "grad_norm": 0.11865234375, + "learning_rate": 0.002866596992389601, + "loss": 1.2788, + "step": 2427 + }, + { + "epoch": 0.2131045472872342, + "grad_norm": 0.228515625, + "learning_rate": 0.002866413104414603, + "loss": 1.2698, + "step": 2428 + }, + { + "epoch": 0.21319231687013668, + "grad_norm": 0.10546875, + "learning_rate": 0.002866229096384445, + "loss": 1.329, + "step": 2429 + }, + { + "epoch": 0.21328008645303917, + "grad_norm": 0.1640625, + "learning_rate": 0.0028660449683172873, + "loss": 1.2794, + "step": 2430 + }, + { + "epoch": 0.21336785603594163, + "grad_norm": 0.0966796875, + "learning_rate": 0.002865860720231303, + "loss": 1.2735, + "step": 2431 + }, + { + "epoch": 0.21345562561884412, + "grad_norm": 0.10400390625, + "learning_rate": 0.002865676352144677, + "loss": 1.3595, + "step": 2432 + }, + { + "epoch": 0.21354339520174662, + "grad_norm": 0.1279296875, + "learning_rate": 0.0028654918640756044, + "loss": 1.2883, + "step": 2433 + }, + { + "epoch": 0.2136311647846491, + "grad_norm": 0.06982421875, + "learning_rate": 0.0028653072560422947, + "loss": 1.2778, + "step": 2434 + }, + { + "epoch": 0.21371893436755157, + "grad_norm": 0.14453125, + "learning_rate": 0.0028651225280629674, + "loss": 1.35, + "step": 2435 + }, + { + "epoch": 0.21380670395045406, + "grad_norm": 0.0673828125, + "learning_rate": 0.0028649376801558545, + "loss": 1.2904, + "step": 2436 + }, + { + "epoch": 0.21389447353335655, + "grad_norm": 0.1572265625, + "learning_rate": 0.0028647527123391997, + "loss": 1.2926, + "step": 2437 + }, + { + "epoch": 0.21398224311625905, + "grad_norm": 0.0849609375, + "learning_rate": 0.002864567624631259, + "loss": 1.322, + "step": 2438 + }, + { + "epoch": 0.21407001269916154, + "grad_norm": 0.0771484375, + "learning_rate": 0.0028643824170502996, + "loss": 1.2998, + "step": 2439 + }, + { + "epoch": 0.214157782282064, + "grad_norm": 0.07373046875, + "learning_rate": 0.002864197089614601, + "loss": 1.2738, + "step": 2440 + }, + { + "epoch": 0.2142455518649665, + "grad_norm": 0.09228515625, + "learning_rate": 0.0028640116423424536, + "loss": 1.3009, + "step": 2441 + }, + { + "epoch": 0.21433332144786899, + "grad_norm": 0.0859375, + "learning_rate": 0.0028638260752521607, + "loss": 1.2854, + "step": 2442 + }, + { + "epoch": 0.21442109103077148, + "grad_norm": 0.07666015625, + "learning_rate": 0.0028636403883620367, + "loss": 1.2842, + "step": 2443 + }, + { + "epoch": 0.21450886061367394, + "grad_norm": 0.1064453125, + "learning_rate": 0.002863454581690409, + "loss": 1.3257, + "step": 2444 + }, + { + "epoch": 0.21459663019657643, + "grad_norm": 0.07080078125, + "learning_rate": 0.0028632686552556162, + "loss": 1.2528, + "step": 2445 + }, + { + "epoch": 0.21468439977947892, + "grad_norm": 0.1044921875, + "learning_rate": 0.0028630826090760065, + "loss": 1.2651, + "step": 2446 + }, + { + "epoch": 0.21477216936238142, + "grad_norm": 0.107421875, + "learning_rate": 0.0028628964431699436, + "loss": 1.3215, + "step": 2447 + }, + { + "epoch": 0.2148599389452839, + "grad_norm": 0.0888671875, + "learning_rate": 0.002862710157555801, + "loss": 1.2939, + "step": 2448 + }, + { + "epoch": 0.21494770852818637, + "grad_norm": 0.07568359375, + "learning_rate": 0.0028625237522519643, + "loss": 1.2623, + "step": 2449 + }, + { + "epoch": 0.21503547811108886, + "grad_norm": 0.07666015625, + "learning_rate": 0.002862337227276831, + "loss": 1.314, + "step": 2450 + }, + { + "epoch": 0.21512324769399135, + "grad_norm": 0.0732421875, + "learning_rate": 0.0028621505826488106, + "loss": 1.2892, + "step": 2451 + }, + { + "epoch": 0.21521101727689385, + "grad_norm": 0.07568359375, + "learning_rate": 0.0028619638183863235, + "loss": 1.2987, + "step": 2452 + }, + { + "epoch": 0.2152987868597963, + "grad_norm": 0.08935546875, + "learning_rate": 0.002861776934507803, + "loss": 1.2992, + "step": 2453 + }, + { + "epoch": 0.2153865564426988, + "grad_norm": 0.1044921875, + "learning_rate": 0.0028615899310316943, + "loss": 1.31, + "step": 2454 + }, + { + "epoch": 0.2154743260256013, + "grad_norm": 0.07958984375, + "learning_rate": 0.0028614028079764534, + "loss": 1.2462, + "step": 2455 + }, + { + "epoch": 0.21556209560850378, + "grad_norm": 0.09423828125, + "learning_rate": 0.002861215565360548, + "loss": 1.31, + "step": 2456 + }, + { + "epoch": 0.21564986519140625, + "grad_norm": 0.10986328125, + "learning_rate": 0.0028610282032024595, + "loss": 1.3042, + "step": 2457 + }, + { + "epoch": 0.21573763477430874, + "grad_norm": 0.07275390625, + "learning_rate": 0.0028608407215206786, + "loss": 1.2576, + "step": 2458 + }, + { + "epoch": 0.21582540435721123, + "grad_norm": 0.07958984375, + "learning_rate": 0.00286065312033371, + "loss": 1.3492, + "step": 2459 + }, + { + "epoch": 0.21591317394011372, + "grad_norm": 0.11865234375, + "learning_rate": 0.0028604653996600685, + "loss": 1.3167, + "step": 2460 + }, + { + "epoch": 0.21600094352301621, + "grad_norm": 0.10205078125, + "learning_rate": 0.0028602775595182816, + "loss": 1.2599, + "step": 2461 + }, + { + "epoch": 0.21608871310591868, + "grad_norm": 0.08203125, + "learning_rate": 0.0028600895999268882, + "loss": 1.305, + "step": 2462 + }, + { + "epoch": 0.21617648268882117, + "grad_norm": 0.08154296875, + "learning_rate": 0.0028599015209044404, + "loss": 1.2478, + "step": 2463 + }, + { + "epoch": 0.21626425227172366, + "grad_norm": 0.1572265625, + "learning_rate": 0.0028597133224694984, + "loss": 1.3179, + "step": 2464 + }, + { + "epoch": 0.21635202185462615, + "grad_norm": 0.115234375, + "learning_rate": 0.002859525004640639, + "loss": 1.3279, + "step": 2465 + }, + { + "epoch": 0.21643979143752862, + "grad_norm": 0.09033203125, + "learning_rate": 0.0028593365674364473, + "loss": 1.291, + "step": 2466 + }, + { + "epoch": 0.2165275610204311, + "grad_norm": 0.11572265625, + "learning_rate": 0.002859148010875521, + "loss": 1.2743, + "step": 2467 + }, + { + "epoch": 0.2166153306033336, + "grad_norm": 0.12890625, + "learning_rate": 0.0028589593349764714, + "loss": 1.2508, + "step": 2468 + }, + { + "epoch": 0.2167031001862361, + "grad_norm": 0.0859375, + "learning_rate": 0.002858770539757918, + "loss": 1.3308, + "step": 2469 + }, + { + "epoch": 0.21679086976913856, + "grad_norm": 0.189453125, + "learning_rate": 0.0028585816252384958, + "loss": 1.2618, + "step": 2470 + }, + { + "epoch": 0.21687863935204105, + "grad_norm": 0.189453125, + "learning_rate": 0.002858392591436849, + "loss": 1.3408, + "step": 2471 + }, + { + "epoch": 0.21696640893494354, + "grad_norm": 0.072265625, + "learning_rate": 0.002858203438371635, + "loss": 1.2779, + "step": 2472 + }, + { + "epoch": 0.21705417851784603, + "grad_norm": 0.15625, + "learning_rate": 0.0028580141660615225, + "loss": 1.2347, + "step": 2473 + }, + { + "epoch": 0.21714194810074852, + "grad_norm": 0.11328125, + "learning_rate": 0.002857824774525191, + "loss": 1.2368, + "step": 2474 + }, + { + "epoch": 0.21722971768365099, + "grad_norm": 0.09814453125, + "learning_rate": 0.002857635263781334, + "loss": 1.2678, + "step": 2475 + }, + { + "epoch": 0.21731748726655348, + "grad_norm": 0.154296875, + "learning_rate": 0.0028574456338486547, + "loss": 1.2988, + "step": 2476 + }, + { + "epoch": 0.21740525684945597, + "grad_norm": 0.11865234375, + "learning_rate": 0.0028572558847458685, + "loss": 1.2508, + "step": 2477 + }, + { + "epoch": 0.21749302643235846, + "grad_norm": 0.09033203125, + "learning_rate": 0.002857066016491704, + "loss": 1.3486, + "step": 2478 + }, + { + "epoch": 0.21758079601526092, + "grad_norm": 0.185546875, + "learning_rate": 0.0028568760291048994, + "loss": 1.252, + "step": 2479 + }, + { + "epoch": 0.21766856559816342, + "grad_norm": 0.0966796875, + "learning_rate": 0.002856685922604206, + "loss": 1.2619, + "step": 2480 + }, + { + "epoch": 0.2177563351810659, + "grad_norm": 0.09423828125, + "learning_rate": 0.002856495697008387, + "loss": 1.3153, + "step": 2481 + }, + { + "epoch": 0.2178441047639684, + "grad_norm": 0.0791015625, + "learning_rate": 0.0028563053523362166, + "loss": 1.3575, + "step": 2482 + }, + { + "epoch": 0.2179318743468709, + "grad_norm": 0.10986328125, + "learning_rate": 0.002856114888606481, + "loss": 1.285, + "step": 2483 + }, + { + "epoch": 0.21801964392977335, + "grad_norm": 0.10009765625, + "learning_rate": 0.002855924305837978, + "loss": 1.269, + "step": 2484 + }, + { + "epoch": 0.21810741351267585, + "grad_norm": 0.1279296875, + "learning_rate": 0.0028557336040495175, + "loss": 1.3152, + "step": 2485 + }, + { + "epoch": 0.21819518309557834, + "grad_norm": 0.07568359375, + "learning_rate": 0.0028555427832599213, + "loss": 1.2733, + "step": 2486 + }, + { + "epoch": 0.21828295267848083, + "grad_norm": 0.09033203125, + "learning_rate": 0.0028553518434880224, + "loss": 1.3076, + "step": 2487 + }, + { + "epoch": 0.2183707222613833, + "grad_norm": 0.06640625, + "learning_rate": 0.0028551607847526663, + "loss": 1.2777, + "step": 2488 + }, + { + "epoch": 0.21845849184428578, + "grad_norm": 0.12158203125, + "learning_rate": 0.0028549696070727087, + "loss": 1.2325, + "step": 2489 + }, + { + "epoch": 0.21854626142718828, + "grad_norm": 0.1435546875, + "learning_rate": 0.002854778310467019, + "loss": 1.2831, + "step": 2490 + }, + { + "epoch": 0.21863403101009077, + "grad_norm": 0.11376953125, + "learning_rate": 0.002854586894954478, + "loss": 1.2836, + "step": 2491 + }, + { + "epoch": 0.21872180059299323, + "grad_norm": 0.07177734375, + "learning_rate": 0.0028543953605539756, + "loss": 1.3051, + "step": 2492 + }, + { + "epoch": 0.21880957017589572, + "grad_norm": 0.08544921875, + "learning_rate": 0.002854203707284417, + "loss": 1.2443, + "step": 2493 + }, + { + "epoch": 0.21889733975879822, + "grad_norm": 0.08984375, + "learning_rate": 0.002854011935164717, + "loss": 1.3067, + "step": 2494 + }, + { + "epoch": 0.2189851093417007, + "grad_norm": 0.07666015625, + "learning_rate": 0.002853820044213803, + "loss": 1.3076, + "step": 2495 + }, + { + "epoch": 0.2190728789246032, + "grad_norm": 0.0830078125, + "learning_rate": 0.0028536280344506147, + "loss": 1.3224, + "step": 2496 + }, + { + "epoch": 0.21916064850750566, + "grad_norm": 0.06982421875, + "learning_rate": 0.002853435905894101, + "loss": 1.278, + "step": 2497 + }, + { + "epoch": 0.21924841809040815, + "grad_norm": 0.1796875, + "learning_rate": 0.002853243658563226, + "loss": 1.3356, + "step": 2498 + }, + { + "epoch": 0.21933618767331065, + "grad_norm": 0.2041015625, + "learning_rate": 0.002853051292476963, + "loss": 1.3006, + "step": 2499 + }, + { + "epoch": 0.21942395725621314, + "grad_norm": 0.09130859375, + "learning_rate": 0.0028528588076542965, + "loss": 1.2974, + "step": 2500 + }, + { + "epoch": 0.21942395725621314, + "eval_loss": 1.2801631689071655, + "eval_runtime": 437.6333, + "eval_samples_per_second": 33.681, + "eval_steps_per_second": 8.42, + "step": 2500 + }, + { + "epoch": 0.2195117268391156, + "grad_norm": 0.251953125, + "learning_rate": 0.002852666204114226, + "loss": 1.305, + "step": 2501 + }, + { + "epoch": 0.2195994964220181, + "grad_norm": 0.123046875, + "learning_rate": 0.0028524734818757597, + "loss": 1.3353, + "step": 2502 + }, + { + "epoch": 0.21968726600492058, + "grad_norm": 0.173828125, + "learning_rate": 0.0028522806409579187, + "loss": 1.3063, + "step": 2503 + }, + { + "epoch": 0.21977503558782308, + "grad_norm": 0.2060546875, + "learning_rate": 0.0028520876813797353, + "loss": 1.3428, + "step": 2504 + }, + { + "epoch": 0.21986280517072554, + "grad_norm": 0.1123046875, + "learning_rate": 0.0028518946031602546, + "loss": 1.3381, + "step": 2505 + }, + { + "epoch": 0.21995057475362803, + "grad_norm": 0.1337890625, + "learning_rate": 0.002851701406318532, + "loss": 1.2715, + "step": 2506 + }, + { + "epoch": 0.22003834433653052, + "grad_norm": 0.138671875, + "learning_rate": 0.002851508090873636, + "loss": 1.251, + "step": 2507 + }, + { + "epoch": 0.22012611391943301, + "grad_norm": 0.1328125, + "learning_rate": 0.0028513146568446453, + "loss": 1.272, + "step": 2508 + }, + { + "epoch": 0.2202138835023355, + "grad_norm": 0.14453125, + "learning_rate": 0.002851121104250651, + "loss": 1.3294, + "step": 2509 + }, + { + "epoch": 0.22030165308523797, + "grad_norm": 0.10498046875, + "learning_rate": 0.0028509274331107565, + "loss": 1.2951, + "step": 2510 + }, + { + "epoch": 0.22038942266814046, + "grad_norm": 0.1259765625, + "learning_rate": 0.002850733643444076, + "loss": 1.2978, + "step": 2511 + }, + { + "epoch": 0.22047719225104295, + "grad_norm": 0.07666015625, + "learning_rate": 0.002850539735269736, + "loss": 1.2558, + "step": 2512 + }, + { + "epoch": 0.22056496183394544, + "grad_norm": 0.11083984375, + "learning_rate": 0.002850345708606875, + "loss": 1.3334, + "step": 2513 + }, + { + "epoch": 0.2206527314168479, + "grad_norm": 0.142578125, + "learning_rate": 0.002850151563474641, + "loss": 1.2744, + "step": 2514 + }, + { + "epoch": 0.2207405009997504, + "grad_norm": 0.07763671875, + "learning_rate": 0.002849957299892197, + "loss": 1.3208, + "step": 2515 + }, + { + "epoch": 0.2208282705826529, + "grad_norm": 0.2060546875, + "learning_rate": 0.002849762917878716, + "loss": 1.2707, + "step": 2516 + }, + { + "epoch": 0.22091604016555538, + "grad_norm": 0.0927734375, + "learning_rate": 0.0028495684174533816, + "loss": 1.3309, + "step": 2517 + }, + { + "epoch": 0.22100380974845787, + "grad_norm": 0.1337890625, + "learning_rate": 0.002849373798635391, + "loss": 1.2875, + "step": 2518 + }, + { + "epoch": 0.22109157933136034, + "grad_norm": 0.1337890625, + "learning_rate": 0.0028491790614439522, + "loss": 1.304, + "step": 2519 + }, + { + "epoch": 0.22117934891426283, + "grad_norm": 0.1162109375, + "learning_rate": 0.002848984205898285, + "loss": 1.2817, + "step": 2520 + }, + { + "epoch": 0.22126711849716532, + "grad_norm": 0.1015625, + "learning_rate": 0.002848789232017621, + "loss": 1.3154, + "step": 2521 + }, + { + "epoch": 0.2213548880800678, + "grad_norm": 0.14453125, + "learning_rate": 0.0028485941398212027, + "loss": 1.2477, + "step": 2522 + }, + { + "epoch": 0.22144265766297028, + "grad_norm": 0.16015625, + "learning_rate": 0.002848398929328286, + "loss": 1.3148, + "step": 2523 + }, + { + "epoch": 0.22153042724587277, + "grad_norm": 0.12890625, + "learning_rate": 0.0028482036005581363, + "loss": 1.3134, + "step": 2524 + }, + { + "epoch": 0.22161819682877526, + "grad_norm": 0.15234375, + "learning_rate": 0.002848008153530033, + "loss": 1.2918, + "step": 2525 + }, + { + "epoch": 0.22170596641167775, + "grad_norm": 0.1533203125, + "learning_rate": 0.002847812588263264, + "loss": 1.2822, + "step": 2526 + }, + { + "epoch": 0.22179373599458022, + "grad_norm": 0.1845703125, + "learning_rate": 0.002847616904777133, + "loss": 1.2444, + "step": 2527 + }, + { + "epoch": 0.2218815055774827, + "grad_norm": 0.09912109375, + "learning_rate": 0.0028474211030909517, + "loss": 1.3081, + "step": 2528 + }, + { + "epoch": 0.2219692751603852, + "grad_norm": 0.103515625, + "learning_rate": 0.002847225183224046, + "loss": 1.2849, + "step": 2529 + }, + { + "epoch": 0.2220570447432877, + "grad_norm": 0.130859375, + "learning_rate": 0.0028470291451957513, + "loss": 1.2453, + "step": 2530 + }, + { + "epoch": 0.22214481432619018, + "grad_norm": 0.1044921875, + "learning_rate": 0.0028468329890254168, + "loss": 1.2833, + "step": 2531 + }, + { + "epoch": 0.22223258390909265, + "grad_norm": 0.06689453125, + "learning_rate": 0.0028466367147324018, + "loss": 1.2666, + "step": 2532 + }, + { + "epoch": 0.22232035349199514, + "grad_norm": 0.072265625, + "learning_rate": 0.002846440322336078, + "loss": 1.3726, + "step": 2533 + }, + { + "epoch": 0.22240812307489763, + "grad_norm": 0.08203125, + "learning_rate": 0.0028462438118558283, + "loss": 1.2715, + "step": 2534 + }, + { + "epoch": 0.22249589265780012, + "grad_norm": 0.076171875, + "learning_rate": 0.0028460471833110473, + "loss": 1.2975, + "step": 2535 + }, + { + "epoch": 0.22258366224070258, + "grad_norm": 0.123046875, + "learning_rate": 0.002845850436721143, + "loss": 1.263, + "step": 2536 + }, + { + "epoch": 0.22267143182360508, + "grad_norm": 0.12060546875, + "learning_rate": 0.002845653572105531, + "loss": 1.2012, + "step": 2537 + }, + { + "epoch": 0.22275920140650757, + "grad_norm": 0.068359375, + "learning_rate": 0.002845456589483643, + "loss": 1.2756, + "step": 2538 + }, + { + "epoch": 0.22284697098941006, + "grad_norm": 0.1259765625, + "learning_rate": 0.00284525948887492, + "loss": 1.2775, + "step": 2539 + }, + { + "epoch": 0.22293474057231252, + "grad_norm": 0.06982421875, + "learning_rate": 0.0028450622702988143, + "loss": 1.2989, + "step": 2540 + }, + { + "epoch": 0.22302251015521501, + "grad_norm": 0.1552734375, + "learning_rate": 0.0028448649337747918, + "loss": 1.2722, + "step": 2541 + }, + { + "epoch": 0.2231102797381175, + "grad_norm": 0.0703125, + "learning_rate": 0.002844667479322328, + "loss": 1.2688, + "step": 2542 + }, + { + "epoch": 0.22319804932102, + "grad_norm": 0.220703125, + "learning_rate": 0.002844469906960911, + "loss": 1.3229, + "step": 2543 + }, + { + "epoch": 0.2232858189039225, + "grad_norm": 0.1796875, + "learning_rate": 0.0028442722167100402, + "loss": 1.323, + "step": 2544 + }, + { + "epoch": 0.22337358848682495, + "grad_norm": 0.08544921875, + "learning_rate": 0.0028440744085892274, + "loss": 1.2572, + "step": 2545 + }, + { + "epoch": 0.22346135806972744, + "grad_norm": 0.11474609375, + "learning_rate": 0.002843876482617995, + "loss": 1.262, + "step": 2546 + }, + { + "epoch": 0.22354912765262994, + "grad_norm": 0.12890625, + "learning_rate": 0.0028436784388158774, + "loss": 1.2959, + "step": 2547 + }, + { + "epoch": 0.22363689723553243, + "grad_norm": 0.1142578125, + "learning_rate": 0.002843480277202422, + "loss": 1.3413, + "step": 2548 + }, + { + "epoch": 0.2237246668184349, + "grad_norm": 0.166015625, + "learning_rate": 0.0028432819977971847, + "loss": 1.318, + "step": 2549 + }, + { + "epoch": 0.22381243640133738, + "grad_norm": 0.19921875, + "learning_rate": 0.0028430836006197364, + "loss": 1.2518, + "step": 2550 + }, + { + "epoch": 0.22390020598423988, + "grad_norm": 0.07666015625, + "learning_rate": 0.002842885085689657, + "loss": 1.3169, + "step": 2551 + }, + { + "epoch": 0.22398797556714237, + "grad_norm": 0.1044921875, + "learning_rate": 0.00284268645302654, + "loss": 1.3088, + "step": 2552 + }, + { + "epoch": 0.22407574515004486, + "grad_norm": 0.083984375, + "learning_rate": 0.0028424877026499893, + "loss": 1.2508, + "step": 2553 + }, + { + "epoch": 0.22416351473294732, + "grad_norm": 0.146484375, + "learning_rate": 0.0028422888345796204, + "loss": 1.2534, + "step": 2554 + }, + { + "epoch": 0.2242512843158498, + "grad_norm": 0.10009765625, + "learning_rate": 0.0028420898488350616, + "loss": 1.2965, + "step": 2555 + }, + { + "epoch": 0.2243390538987523, + "grad_norm": 0.1083984375, + "learning_rate": 0.002841890745435952, + "loss": 1.3284, + "step": 2556 + }, + { + "epoch": 0.2244268234816548, + "grad_norm": 0.10400390625, + "learning_rate": 0.0028416915244019406, + "loss": 1.2437, + "step": 2557 + }, + { + "epoch": 0.22451459306455726, + "grad_norm": 0.115234375, + "learning_rate": 0.002841492185752692, + "loss": 1.3139, + "step": 2558 + }, + { + "epoch": 0.22460236264745975, + "grad_norm": 0.103515625, + "learning_rate": 0.0028412927295078786, + "loss": 1.2503, + "step": 2559 + }, + { + "epoch": 0.22469013223036224, + "grad_norm": 0.166015625, + "learning_rate": 0.002841093155687187, + "loss": 1.2863, + "step": 2560 + }, + { + "epoch": 0.22477790181326474, + "grad_norm": 0.1982421875, + "learning_rate": 0.002840893464310314, + "loss": 1.2805, + "step": 2561 + }, + { + "epoch": 0.2248656713961672, + "grad_norm": 0.07080078125, + "learning_rate": 0.002840693655396967, + "loss": 1.3579, + "step": 2562 + }, + { + "epoch": 0.2249534409790697, + "grad_norm": 0.12890625, + "learning_rate": 0.002840493728966869, + "loss": 1.2618, + "step": 2563 + }, + { + "epoch": 0.22504121056197218, + "grad_norm": 0.0751953125, + "learning_rate": 0.0028402936850397496, + "loss": 1.3318, + "step": 2564 + }, + { + "epoch": 0.22512898014487467, + "grad_norm": 0.1982421875, + "learning_rate": 0.002840093523635354, + "loss": 1.2483, + "step": 2565 + }, + { + "epoch": 0.22521674972777717, + "grad_norm": 0.0947265625, + "learning_rate": 0.002839893244773436, + "loss": 1.2382, + "step": 2566 + }, + { + "epoch": 0.22530451931067963, + "grad_norm": 0.1689453125, + "learning_rate": 0.002839692848473763, + "loss": 1.2556, + "step": 2567 + }, + { + "epoch": 0.22539228889358212, + "grad_norm": 0.1396484375, + "learning_rate": 0.0028394923347561133, + "loss": 1.298, + "step": 2568 + }, + { + "epoch": 0.2254800584764846, + "grad_norm": 0.1357421875, + "learning_rate": 0.002839291703640277, + "loss": 1.3292, + "step": 2569 + }, + { + "epoch": 0.2255678280593871, + "grad_norm": 0.11376953125, + "learning_rate": 0.002839090955146055, + "loss": 1.3303, + "step": 2570 + }, + { + "epoch": 0.22565559764228957, + "grad_norm": 0.10595703125, + "learning_rate": 0.002838890089293261, + "loss": 1.2944, + "step": 2571 + }, + { + "epoch": 0.22574336722519206, + "grad_norm": 0.08056640625, + "learning_rate": 0.0028386891061017187, + "loss": 1.3799, + "step": 2572 + }, + { + "epoch": 0.22583113680809455, + "grad_norm": 0.10400390625, + "learning_rate": 0.0028384880055912654, + "loss": 1.2495, + "step": 2573 + }, + { + "epoch": 0.22591890639099704, + "grad_norm": 0.072265625, + "learning_rate": 0.002838286787781749, + "loss": 1.3019, + "step": 2574 + }, + { + "epoch": 0.2260066759738995, + "grad_norm": 0.08837890625, + "learning_rate": 0.002838085452693028, + "loss": 1.3039, + "step": 2575 + }, + { + "epoch": 0.226094445556802, + "grad_norm": 0.1005859375, + "learning_rate": 0.002837884000344974, + "loss": 1.2842, + "step": 2576 + }, + { + "epoch": 0.2261822151397045, + "grad_norm": 0.0732421875, + "learning_rate": 0.0028376824307574694, + "loss": 1.312, + "step": 2577 + }, + { + "epoch": 0.22626998472260698, + "grad_norm": 0.1875, + "learning_rate": 0.0028374807439504085, + "loss": 1.3599, + "step": 2578 + }, + { + "epoch": 0.22635775430550947, + "grad_norm": 0.1806640625, + "learning_rate": 0.0028372789399436966, + "loss": 1.2641, + "step": 2579 + }, + { + "epoch": 0.22644552388841194, + "grad_norm": 0.08935546875, + "learning_rate": 0.002837077018757251, + "loss": 1.2717, + "step": 2580 + }, + { + "epoch": 0.22653329347131443, + "grad_norm": 0.1298828125, + "learning_rate": 0.0028368749804110007, + "loss": 1.2641, + "step": 2581 + }, + { + "epoch": 0.22662106305421692, + "grad_norm": 0.09228515625, + "learning_rate": 0.0028366728249248864, + "loss": 1.328, + "step": 2582 + }, + { + "epoch": 0.2267088326371194, + "grad_norm": 0.1650390625, + "learning_rate": 0.0028364705523188593, + "loss": 1.3176, + "step": 2583 + }, + { + "epoch": 0.22679660222002188, + "grad_norm": 0.07666015625, + "learning_rate": 0.0028362681626128835, + "loss": 1.2509, + "step": 2584 + }, + { + "epoch": 0.22688437180292437, + "grad_norm": 0.1455078125, + "learning_rate": 0.002836065655826934, + "loss": 1.2126, + "step": 2585 + }, + { + "epoch": 0.22697214138582686, + "grad_norm": 0.09619140625, + "learning_rate": 0.002835863031980997, + "loss": 1.3478, + "step": 2586 + }, + { + "epoch": 0.22705991096872935, + "grad_norm": 0.2470703125, + "learning_rate": 0.002835660291095071, + "loss": 1.294, + "step": 2587 + }, + { + "epoch": 0.22714768055163184, + "grad_norm": 0.109375, + "learning_rate": 0.002835457433189166, + "loss": 1.2759, + "step": 2588 + }, + { + "epoch": 0.2272354501345343, + "grad_norm": 0.1689453125, + "learning_rate": 0.002835254458283303, + "loss": 1.2792, + "step": 2589 + }, + { + "epoch": 0.2273232197174368, + "grad_norm": 0.115234375, + "learning_rate": 0.002835051366397514, + "loss": 1.317, + "step": 2590 + }, + { + "epoch": 0.2274109893003393, + "grad_norm": 0.10986328125, + "learning_rate": 0.0028348481575518453, + "loss": 1.2758, + "step": 2591 + }, + { + "epoch": 0.22749875888324178, + "grad_norm": 0.07763671875, + "learning_rate": 0.0028346448317663506, + "loss": 1.3313, + "step": 2592 + }, + { + "epoch": 0.22758652846614424, + "grad_norm": 0.1259765625, + "learning_rate": 0.0028344413890610994, + "loss": 1.2772, + "step": 2593 + }, + { + "epoch": 0.22767429804904674, + "grad_norm": 0.09375, + "learning_rate": 0.002834237829456169, + "loss": 1.334, + "step": 2594 + }, + { + "epoch": 0.22776206763194923, + "grad_norm": 0.15625, + "learning_rate": 0.002834034152971651, + "loss": 1.2577, + "step": 2595 + }, + { + "epoch": 0.22784983721485172, + "grad_norm": 0.115234375, + "learning_rate": 0.0028338303596276465, + "loss": 1.2432, + "step": 2596 + }, + { + "epoch": 0.22793760679775418, + "grad_norm": 0.134765625, + "learning_rate": 0.00283362644944427, + "loss": 1.2904, + "step": 2597 + }, + { + "epoch": 0.22802537638065667, + "grad_norm": 0.07470703125, + "learning_rate": 0.0028334224224416467, + "loss": 1.2992, + "step": 2598 + }, + { + "epoch": 0.22811314596355917, + "grad_norm": 0.1533203125, + "learning_rate": 0.0028332182786399126, + "loss": 1.2994, + "step": 2599 + }, + { + "epoch": 0.22820091554646166, + "grad_norm": 0.11669921875, + "learning_rate": 0.002833014018059216, + "loss": 1.2872, + "step": 2600 + }, + { + "epoch": 0.22828868512936415, + "grad_norm": 0.07373046875, + "learning_rate": 0.002832809640719717, + "loss": 1.3066, + "step": 2601 + }, + { + "epoch": 0.2283764547122666, + "grad_norm": 0.10302734375, + "learning_rate": 0.0028326051466415862, + "loss": 1.2929, + "step": 2602 + }, + { + "epoch": 0.2284642242951691, + "grad_norm": 0.07421875, + "learning_rate": 0.002832400535845007, + "loss": 1.2974, + "step": 2603 + }, + { + "epoch": 0.2285519938780716, + "grad_norm": 0.08447265625, + "learning_rate": 0.002832195808350174, + "loss": 1.281, + "step": 2604 + }, + { + "epoch": 0.2286397634609741, + "grad_norm": 0.072265625, + "learning_rate": 0.0028319909641772913, + "loss": 1.2723, + "step": 2605 + }, + { + "epoch": 0.22872753304387655, + "grad_norm": 0.0712890625, + "learning_rate": 0.0028317860033465784, + "loss": 1.2695, + "step": 2606 + }, + { + "epoch": 0.22881530262677904, + "grad_norm": 0.1318359375, + "learning_rate": 0.0028315809258782623, + "loss": 1.3227, + "step": 2607 + }, + { + "epoch": 0.22890307220968154, + "grad_norm": 0.12255859375, + "learning_rate": 0.0028313757317925846, + "loss": 1.2679, + "step": 2608 + }, + { + "epoch": 0.22899084179258403, + "grad_norm": 0.0986328125, + "learning_rate": 0.0028311704211097964, + "loss": 1.2505, + "step": 2609 + }, + { + "epoch": 0.2290786113754865, + "grad_norm": 0.134765625, + "learning_rate": 0.0028309649938501615, + "loss": 1.2932, + "step": 2610 + }, + { + "epoch": 0.22916638095838898, + "grad_norm": 0.11181640625, + "learning_rate": 0.0028307594500339545, + "loss": 1.3171, + "step": 2611 + }, + { + "epoch": 0.22925415054129147, + "grad_norm": 0.150390625, + "learning_rate": 0.0028305537896814613, + "loss": 1.2893, + "step": 2612 + }, + { + "epoch": 0.22934192012419397, + "grad_norm": 0.10205078125, + "learning_rate": 0.002830348012812981, + "loss": 1.2851, + "step": 2613 + }, + { + "epoch": 0.22942968970709646, + "grad_norm": 0.1328125, + "learning_rate": 0.0028301421194488214, + "loss": 1.2582, + "step": 2614 + }, + { + "epoch": 0.22951745928999892, + "grad_norm": 0.150390625, + "learning_rate": 0.002829936109609305, + "loss": 1.2551, + "step": 2615 + }, + { + "epoch": 0.2296052288729014, + "grad_norm": 0.083984375, + "learning_rate": 0.002829729983314763, + "loss": 1.2668, + "step": 2616 + }, + { + "epoch": 0.2296929984558039, + "grad_norm": 0.1611328125, + "learning_rate": 0.00282952374058554, + "loss": 1.3086, + "step": 2617 + }, + { + "epoch": 0.2297807680387064, + "grad_norm": 0.0830078125, + "learning_rate": 0.0028293173814419904, + "loss": 1.2954, + "step": 2618 + }, + { + "epoch": 0.22986853762160886, + "grad_norm": 0.1484375, + "learning_rate": 0.0028291109059044818, + "loss": 1.3079, + "step": 2619 + }, + { + "epoch": 0.22995630720451135, + "grad_norm": 0.1005859375, + "learning_rate": 0.002828904313993392, + "loss": 1.3284, + "step": 2620 + }, + { + "epoch": 0.23004407678741384, + "grad_norm": 0.138671875, + "learning_rate": 0.0028286976057291116, + "loss": 1.2443, + "step": 2621 + }, + { + "epoch": 0.23013184637031633, + "grad_norm": 0.11083984375, + "learning_rate": 0.0028284907811320413, + "loss": 1.2909, + "step": 2622 + }, + { + "epoch": 0.23021961595321883, + "grad_norm": 0.10107421875, + "learning_rate": 0.0028282838402225938, + "loss": 1.2969, + "step": 2623 + }, + { + "epoch": 0.2303073855361213, + "grad_norm": 0.07373046875, + "learning_rate": 0.002828076783021193, + "loss": 1.3221, + "step": 2624 + }, + { + "epoch": 0.23039515511902378, + "grad_norm": 0.0810546875, + "learning_rate": 0.0028278696095482762, + "loss": 1.2783, + "step": 2625 + }, + { + "epoch": 0.23048292470192627, + "grad_norm": 0.1103515625, + "learning_rate": 0.0028276623198242893, + "loss": 1.3408, + "step": 2626 + }, + { + "epoch": 0.23057069428482876, + "grad_norm": 0.08447265625, + "learning_rate": 0.0028274549138696905, + "loss": 1.2444, + "step": 2627 + }, + { + "epoch": 0.23065846386773123, + "grad_norm": 0.1416015625, + "learning_rate": 0.002827247391704951, + "loss": 1.3747, + "step": 2628 + }, + { + "epoch": 0.23074623345063372, + "grad_norm": 0.12255859375, + "learning_rate": 0.002827039753350552, + "loss": 1.2593, + "step": 2629 + }, + { + "epoch": 0.2308340030335362, + "grad_norm": 0.1201171875, + "learning_rate": 0.0028268319988269874, + "loss": 1.219, + "step": 2630 + }, + { + "epoch": 0.2309217726164387, + "grad_norm": 0.17578125, + "learning_rate": 0.00282662412815476, + "loss": 1.2553, + "step": 2631 + }, + { + "epoch": 0.23100954219934117, + "grad_norm": 0.103515625, + "learning_rate": 0.0028264161413543874, + "loss": 1.2944, + "step": 2632 + }, + { + "epoch": 0.23109731178224366, + "grad_norm": 0.166015625, + "learning_rate": 0.002826208038446396, + "loss": 1.2736, + "step": 2633 + }, + { + "epoch": 0.23118508136514615, + "grad_norm": 0.12158203125, + "learning_rate": 0.0028259998194513254, + "loss": 1.3153, + "step": 2634 + }, + { + "epoch": 0.23127285094804864, + "grad_norm": 0.1806640625, + "learning_rate": 0.0028257914843897265, + "loss": 1.2136, + "step": 2635 + }, + { + "epoch": 0.23136062053095113, + "grad_norm": 0.09033203125, + "learning_rate": 0.0028255830332821596, + "loss": 1.2581, + "step": 2636 + }, + { + "epoch": 0.2314483901138536, + "grad_norm": 0.10302734375, + "learning_rate": 0.0028253744661491994, + "loss": 1.2819, + "step": 2637 + }, + { + "epoch": 0.2315361596967561, + "grad_norm": 0.08203125, + "learning_rate": 0.0028251657830114297, + "loss": 1.2644, + "step": 2638 + }, + { + "epoch": 0.23162392927965858, + "grad_norm": 0.078125, + "learning_rate": 0.0028249569838894473, + "loss": 1.3334, + "step": 2639 + }, + { + "epoch": 0.23171169886256107, + "grad_norm": 0.06396484375, + "learning_rate": 0.0028247480688038595, + "loss": 1.252, + "step": 2640 + }, + { + "epoch": 0.23179946844546354, + "grad_norm": 0.1103515625, + "learning_rate": 0.002824539037775286, + "loss": 1.3316, + "step": 2641 + }, + { + "epoch": 0.23188723802836603, + "grad_norm": 0.061767578125, + "learning_rate": 0.0028243298908243565, + "loss": 1.2814, + "step": 2642 + }, + { + "epoch": 0.23197500761126852, + "grad_norm": 0.09912109375, + "learning_rate": 0.002824120627971713, + "loss": 1.2514, + "step": 2643 + }, + { + "epoch": 0.232062777194171, + "grad_norm": 0.0615234375, + "learning_rate": 0.00282391124923801, + "loss": 1.2649, + "step": 2644 + }, + { + "epoch": 0.23215054677707347, + "grad_norm": 0.1220703125, + "learning_rate": 0.0028237017546439117, + "loss": 1.2262, + "step": 2645 + }, + { + "epoch": 0.23223831635997597, + "grad_norm": 0.09521484375, + "learning_rate": 0.002823492144210094, + "loss": 1.2959, + "step": 2646 + }, + { + "epoch": 0.23232608594287846, + "grad_norm": 0.09716796875, + "learning_rate": 0.002823282417957245, + "loss": 1.3092, + "step": 2647 + }, + { + "epoch": 0.23241385552578095, + "grad_norm": 0.12451171875, + "learning_rate": 0.002823072575906064, + "loss": 1.3097, + "step": 2648 + }, + { + "epoch": 0.23250162510868344, + "grad_norm": 0.0712890625, + "learning_rate": 0.0028228626180772606, + "loss": 1.3089, + "step": 2649 + }, + { + "epoch": 0.2325893946915859, + "grad_norm": 0.07568359375, + "learning_rate": 0.0028226525444915583, + "loss": 1.2939, + "step": 2650 + }, + { + "epoch": 0.2326771642744884, + "grad_norm": 0.0947265625, + "learning_rate": 0.0028224423551696893, + "loss": 1.3127, + "step": 2651 + }, + { + "epoch": 0.2327649338573909, + "grad_norm": 0.0751953125, + "learning_rate": 0.0028222320501323996, + "loss": 1.2854, + "step": 2652 + }, + { + "epoch": 0.23285270344029338, + "grad_norm": 0.07666015625, + "learning_rate": 0.002822021629400444, + "loss": 1.3329, + "step": 2653 + }, + { + "epoch": 0.23294047302319584, + "grad_norm": 0.1318359375, + "learning_rate": 0.002821811092994592, + "loss": 1.3233, + "step": 2654 + }, + { + "epoch": 0.23302824260609833, + "grad_norm": 0.08642578125, + "learning_rate": 0.0028216004409356214, + "loss": 1.3286, + "step": 2655 + }, + { + "epoch": 0.23311601218900083, + "grad_norm": 0.09765625, + "learning_rate": 0.002821389673244323, + "loss": 1.2255, + "step": 2656 + }, + { + "epoch": 0.23320378177190332, + "grad_norm": 0.0712890625, + "learning_rate": 0.0028211787899414986, + "loss": 1.2183, + "step": 2657 + }, + { + "epoch": 0.2332915513548058, + "grad_norm": 0.146484375, + "learning_rate": 0.002820967791047962, + "loss": 1.2769, + "step": 2658 + }, + { + "epoch": 0.23337932093770827, + "grad_norm": 0.0654296875, + "learning_rate": 0.0028207566765845377, + "loss": 1.206, + "step": 2659 + }, + { + "epoch": 0.23346709052061076, + "grad_norm": 0.1123046875, + "learning_rate": 0.0028205454465720613, + "loss": 1.2981, + "step": 2660 + }, + { + "epoch": 0.23355486010351326, + "grad_norm": 0.07373046875, + "learning_rate": 0.002820334101031382, + "loss": 1.2803, + "step": 2661 + }, + { + "epoch": 0.23364262968641575, + "grad_norm": 0.07470703125, + "learning_rate": 0.002820122639983357, + "loss": 1.2925, + "step": 2662 + }, + { + "epoch": 0.2337303992693182, + "grad_norm": 0.06396484375, + "learning_rate": 0.0028199110634488573, + "loss": 1.3133, + "step": 2663 + }, + { + "epoch": 0.2338181688522207, + "grad_norm": 0.0673828125, + "learning_rate": 0.002819699371448765, + "loss": 1.2847, + "step": 2664 + }, + { + "epoch": 0.2339059384351232, + "grad_norm": 0.06884765625, + "learning_rate": 0.002819487564003973, + "loss": 1.2373, + "step": 2665 + }, + { + "epoch": 0.2339937080180257, + "grad_norm": 0.072265625, + "learning_rate": 0.002819275641135386, + "loss": 1.2995, + "step": 2666 + }, + { + "epoch": 0.23408147760092815, + "grad_norm": 0.06494140625, + "learning_rate": 0.0028190636028639195, + "loss": 1.1893, + "step": 2667 + }, + { + "epoch": 0.23416924718383064, + "grad_norm": 0.1201171875, + "learning_rate": 0.0028188514492105015, + "loss": 1.2701, + "step": 2668 + }, + { + "epoch": 0.23425701676673313, + "grad_norm": 0.0732421875, + "learning_rate": 0.0028186391801960703, + "loss": 1.3307, + "step": 2669 + }, + { + "epoch": 0.23434478634963563, + "grad_norm": 0.1337890625, + "learning_rate": 0.0028184267958415755, + "loss": 1.3358, + "step": 2670 + }, + { + "epoch": 0.23443255593253812, + "grad_norm": 0.064453125, + "learning_rate": 0.0028182142961679798, + "loss": 1.3149, + "step": 2671 + }, + { + "epoch": 0.23452032551544058, + "grad_norm": 0.1328125, + "learning_rate": 0.0028180016811962558, + "loss": 1.3222, + "step": 2672 + }, + { + "epoch": 0.23460809509834307, + "grad_norm": 0.0703125, + "learning_rate": 0.0028177889509473863, + "loss": 1.3285, + "step": 2673 + }, + { + "epoch": 0.23469586468124556, + "grad_norm": 0.1416015625, + "learning_rate": 0.002817576105442369, + "loss": 1.2687, + "step": 2674 + }, + { + "epoch": 0.23478363426414806, + "grad_norm": 0.1298828125, + "learning_rate": 0.0028173631447022097, + "loss": 1.2757, + "step": 2675 + }, + { + "epoch": 0.23487140384705052, + "grad_norm": 0.087890625, + "learning_rate": 0.0028171500687479267, + "loss": 1.2429, + "step": 2676 + }, + { + "epoch": 0.234959173429953, + "grad_norm": 0.1826171875, + "learning_rate": 0.0028169368776005503, + "loss": 1.2815, + "step": 2677 + }, + { + "epoch": 0.2350469430128555, + "grad_norm": 0.10400390625, + "learning_rate": 0.0028167235712811215, + "loss": 1.2862, + "step": 2678 + }, + { + "epoch": 0.235134712595758, + "grad_norm": 0.078125, + "learning_rate": 0.002816510149810693, + "loss": 1.2643, + "step": 2679 + }, + { + "epoch": 0.23522248217866046, + "grad_norm": 0.07568359375, + "learning_rate": 0.0028162966132103274, + "loss": 1.343, + "step": 2680 + }, + { + "epoch": 0.23531025176156295, + "grad_norm": 0.09033203125, + "learning_rate": 0.002816082961501102, + "loss": 1.342, + "step": 2681 + }, + { + "epoch": 0.23539802134446544, + "grad_norm": 0.09228515625, + "learning_rate": 0.0028158691947041017, + "loss": 1.1977, + "step": 2682 + }, + { + "epoch": 0.23548579092736793, + "grad_norm": 0.158203125, + "learning_rate": 0.002815655312840425, + "loss": 1.3142, + "step": 2683 + }, + { + "epoch": 0.23557356051027042, + "grad_norm": 0.08056640625, + "learning_rate": 0.0028154413159311815, + "loss": 1.2546, + "step": 2684 + }, + { + "epoch": 0.2356613300931729, + "grad_norm": 0.13671875, + "learning_rate": 0.002815227203997491, + "loss": 1.2795, + "step": 2685 + }, + { + "epoch": 0.23574909967607538, + "grad_norm": 0.1259765625, + "learning_rate": 0.0028150129770604868, + "loss": 1.2788, + "step": 2686 + }, + { + "epoch": 0.23583686925897787, + "grad_norm": 0.09423828125, + "learning_rate": 0.0028147986351413105, + "loss": 1.2825, + "step": 2687 + }, + { + "epoch": 0.23592463884188036, + "grad_norm": 0.1572265625, + "learning_rate": 0.0028145841782611183, + "loss": 1.316, + "step": 2688 + }, + { + "epoch": 0.23601240842478283, + "grad_norm": 0.09130859375, + "learning_rate": 0.002814369606441076, + "loss": 1.2949, + "step": 2689 + }, + { + "epoch": 0.23610017800768532, + "grad_norm": 0.10302734375, + "learning_rate": 0.0028141549197023604, + "loss": 1.3241, + "step": 2690 + }, + { + "epoch": 0.2361879475905878, + "grad_norm": 0.09375, + "learning_rate": 0.0028139401180661606, + "loss": 1.3208, + "step": 2691 + }, + { + "epoch": 0.2362757171734903, + "grad_norm": 0.076171875, + "learning_rate": 0.0028137252015536765, + "loss": 1.2905, + "step": 2692 + }, + { + "epoch": 0.2363634867563928, + "grad_norm": 0.07421875, + "learning_rate": 0.00281351017018612, + "loss": 1.2847, + "step": 2693 + }, + { + "epoch": 0.23645125633929526, + "grad_norm": 0.078125, + "learning_rate": 0.002813295023984713, + "loss": 1.2918, + "step": 2694 + }, + { + "epoch": 0.23653902592219775, + "grad_norm": 0.09228515625, + "learning_rate": 0.0028130797629706905, + "loss": 1.2487, + "step": 2695 + }, + { + "epoch": 0.23662679550510024, + "grad_norm": 0.09814453125, + "learning_rate": 0.0028128643871652976, + "loss": 1.2858, + "step": 2696 + }, + { + "epoch": 0.23671456508800273, + "grad_norm": 0.0693359375, + "learning_rate": 0.0028126488965897903, + "loss": 1.2701, + "step": 2697 + }, + { + "epoch": 0.2368023346709052, + "grad_norm": 0.0966796875, + "learning_rate": 0.0028124332912654376, + "loss": 1.2544, + "step": 2698 + }, + { + "epoch": 0.2368901042538077, + "grad_norm": 0.12060546875, + "learning_rate": 0.0028122175712135184, + "loss": 1.2927, + "step": 2699 + }, + { + "epoch": 0.23697787383671018, + "grad_norm": 0.12890625, + "learning_rate": 0.002812001736455324, + "loss": 1.2842, + "step": 2700 + }, + { + "epoch": 0.23706564341961267, + "grad_norm": 0.09912109375, + "learning_rate": 0.0028117857870121558, + "loss": 1.3013, + "step": 2701 + }, + { + "epoch": 0.23715341300251513, + "grad_norm": 0.21484375, + "learning_rate": 0.002811569722905327, + "loss": 1.2799, + "step": 2702 + }, + { + "epoch": 0.23724118258541763, + "grad_norm": 0.12158203125, + "learning_rate": 0.002811353544156163, + "loss": 1.3579, + "step": 2703 + }, + { + "epoch": 0.23732895216832012, + "grad_norm": 0.09765625, + "learning_rate": 0.0028111372507859996, + "loss": 1.2623, + "step": 2704 + }, + { + "epoch": 0.2374167217512226, + "grad_norm": 0.1201171875, + "learning_rate": 0.0028109208428161838, + "loss": 1.3012, + "step": 2705 + }, + { + "epoch": 0.2375044913341251, + "grad_norm": 0.064453125, + "learning_rate": 0.002810704320268074, + "loss": 1.2589, + "step": 2706 + }, + { + "epoch": 0.23759226091702756, + "grad_norm": 0.11376953125, + "learning_rate": 0.002810487683163041, + "loss": 1.2362, + "step": 2707 + }, + { + "epoch": 0.23768003049993006, + "grad_norm": 0.11474609375, + "learning_rate": 0.0028102709315224656, + "loss": 1.2701, + "step": 2708 + }, + { + "epoch": 0.23776780008283255, + "grad_norm": 0.10546875, + "learning_rate": 0.0028100540653677396, + "loss": 1.316, + "step": 2709 + }, + { + "epoch": 0.23785556966573504, + "grad_norm": 0.1396484375, + "learning_rate": 0.002809837084720268, + "loss": 1.2557, + "step": 2710 + }, + { + "epoch": 0.2379433392486375, + "grad_norm": 0.0712890625, + "learning_rate": 0.0028096199896014648, + "loss": 1.2801, + "step": 2711 + }, + { + "epoch": 0.23803110883154, + "grad_norm": 0.1806640625, + "learning_rate": 0.0028094027800327575, + "loss": 1.3095, + "step": 2712 + }, + { + "epoch": 0.2381188784144425, + "grad_norm": 0.10791015625, + "learning_rate": 0.0028091854560355835, + "loss": 1.2497, + "step": 2713 + }, + { + "epoch": 0.23820664799734498, + "grad_norm": 0.10986328125, + "learning_rate": 0.002808968017631391, + "loss": 1.3031, + "step": 2714 + }, + { + "epoch": 0.23829441758024744, + "grad_norm": 0.0654296875, + "learning_rate": 0.002808750464841641, + "loss": 1.279, + "step": 2715 + }, + { + "epoch": 0.23838218716314993, + "grad_norm": 0.14453125, + "learning_rate": 0.002808532797687806, + "loss": 1.3033, + "step": 2716 + }, + { + "epoch": 0.23846995674605242, + "grad_norm": 0.064453125, + "learning_rate": 0.002808315016191367, + "loss": 1.2536, + "step": 2717 + }, + { + "epoch": 0.23855772632895492, + "grad_norm": 0.0830078125, + "learning_rate": 0.0028080971203738193, + "loss": 1.238, + "step": 2718 + }, + { + "epoch": 0.2386454959118574, + "grad_norm": 0.06640625, + "learning_rate": 0.0028078791102566685, + "loss": 1.2741, + "step": 2719 + }, + { + "epoch": 0.23873326549475987, + "grad_norm": 0.07373046875, + "learning_rate": 0.0028076609858614307, + "loss": 1.3111, + "step": 2720 + }, + { + "epoch": 0.23882103507766236, + "grad_norm": 0.09814453125, + "learning_rate": 0.0028074427472096343, + "loss": 1.2899, + "step": 2721 + }, + { + "epoch": 0.23890880466056486, + "grad_norm": 0.06787109375, + "learning_rate": 0.002807224394322819, + "loss": 1.2425, + "step": 2722 + }, + { + "epoch": 0.23899657424346735, + "grad_norm": 0.130859375, + "learning_rate": 0.002807005927222534, + "loss": 1.3177, + "step": 2723 + }, + { + "epoch": 0.2390843438263698, + "grad_norm": 0.0830078125, + "learning_rate": 0.002806787345930343, + "loss": 1.2674, + "step": 2724 + }, + { + "epoch": 0.2391721134092723, + "grad_norm": 0.08056640625, + "learning_rate": 0.0028065686504678174, + "loss": 1.2979, + "step": 2725 + }, + { + "epoch": 0.2392598829921748, + "grad_norm": 0.083984375, + "learning_rate": 0.002806349840856542, + "loss": 1.3585, + "step": 2726 + }, + { + "epoch": 0.23934765257507729, + "grad_norm": 0.1640625, + "learning_rate": 0.0028061309171181132, + "loss": 1.297, + "step": 2727 + }, + { + "epoch": 0.23943542215797978, + "grad_norm": 0.1298828125, + "learning_rate": 0.0028059118792741373, + "loss": 1.2898, + "step": 2728 + }, + { + "epoch": 0.23952319174088224, + "grad_norm": 0.06494140625, + "learning_rate": 0.0028056927273462334, + "loss": 1.2496, + "step": 2729 + }, + { + "epoch": 0.23961096132378473, + "grad_norm": 0.09814453125, + "learning_rate": 0.00280547346135603, + "loss": 1.2823, + "step": 2730 + }, + { + "epoch": 0.23969873090668722, + "grad_norm": 0.0771484375, + "learning_rate": 0.002805254081325167, + "loss": 1.2302, + "step": 2731 + }, + { + "epoch": 0.23978650048958972, + "grad_norm": 0.0703125, + "learning_rate": 0.002805034587275298, + "loss": 1.2376, + "step": 2732 + }, + { + "epoch": 0.23987427007249218, + "grad_norm": 0.08740234375, + "learning_rate": 0.0028048149792280854, + "loss": 1.3058, + "step": 2733 + }, + { + "epoch": 0.23996203965539467, + "grad_norm": 0.06982421875, + "learning_rate": 0.0028045952572052033, + "loss": 1.3163, + "step": 2734 + }, + { + "epoch": 0.24004980923829716, + "grad_norm": 0.09033203125, + "learning_rate": 0.0028043754212283382, + "loss": 1.2277, + "step": 2735 + }, + { + "epoch": 0.24013757882119965, + "grad_norm": 0.09228515625, + "learning_rate": 0.002804155471319187, + "loss": 1.2385, + "step": 2736 + }, + { + "epoch": 0.24022534840410212, + "grad_norm": 0.0791015625, + "learning_rate": 0.002803935407499457, + "loss": 1.2289, + "step": 2737 + }, + { + "epoch": 0.2403131179870046, + "grad_norm": 0.0791015625, + "learning_rate": 0.0028037152297908687, + "loss": 1.2196, + "step": 2738 + }, + { + "epoch": 0.2404008875699071, + "grad_norm": 0.08837890625, + "learning_rate": 0.0028034949382151515, + "loss": 1.2046, + "step": 2739 + }, + { + "epoch": 0.2404886571528096, + "grad_norm": 0.07763671875, + "learning_rate": 0.0028032745327940486, + "loss": 1.2787, + "step": 2740 + }, + { + "epoch": 0.24057642673571208, + "grad_norm": 0.08642578125, + "learning_rate": 0.0028030540135493124, + "loss": 1.2919, + "step": 2741 + }, + { + "epoch": 0.24066419631861455, + "grad_norm": 0.064453125, + "learning_rate": 0.0028028333805027073, + "loss": 1.2882, + "step": 2742 + }, + { + "epoch": 0.24075196590151704, + "grad_norm": 0.09130859375, + "learning_rate": 0.0028026126336760096, + "loss": 1.3052, + "step": 2743 + }, + { + "epoch": 0.24083973548441953, + "grad_norm": 0.0859375, + "learning_rate": 0.0028023917730910053, + "loss": 1.3639, + "step": 2744 + }, + { + "epoch": 0.24092750506732202, + "grad_norm": 0.10595703125, + "learning_rate": 0.0028021707987694925, + "loss": 1.2574, + "step": 2745 + }, + { + "epoch": 0.2410152746502245, + "grad_norm": 0.06494140625, + "learning_rate": 0.0028019497107332814, + "loss": 1.2762, + "step": 2746 + }, + { + "epoch": 0.24110304423312698, + "grad_norm": 0.1630859375, + "learning_rate": 0.002801728509004191, + "loss": 1.3217, + "step": 2747 + }, + { + "epoch": 0.24119081381602947, + "grad_norm": 0.1533203125, + "learning_rate": 0.002801507193604054, + "loss": 1.337, + "step": 2748 + }, + { + "epoch": 0.24127858339893196, + "grad_norm": 0.0791015625, + "learning_rate": 0.0028012857645547144, + "loss": 1.249, + "step": 2749 + }, + { + "epoch": 0.24136635298183443, + "grad_norm": 0.1455078125, + "learning_rate": 0.0028010642218780244, + "loss": 1.289, + "step": 2750 + }, + { + "epoch": 0.24145412256473692, + "grad_norm": 0.08740234375, + "learning_rate": 0.0028008425655958505, + "loss": 1.3001, + "step": 2751 + }, + { + "epoch": 0.2415418921476394, + "grad_norm": 0.1181640625, + "learning_rate": 0.002800620795730069, + "loss": 1.2688, + "step": 2752 + }, + { + "epoch": 0.2416296617305419, + "grad_norm": 0.12890625, + "learning_rate": 0.0028003989123025676, + "loss": 1.3052, + "step": 2753 + }, + { + "epoch": 0.2417174313134444, + "grad_norm": 0.0703125, + "learning_rate": 0.0028001769153352457, + "loss": 1.345, + "step": 2754 + }, + { + "epoch": 0.24180520089634686, + "grad_norm": 0.08154296875, + "learning_rate": 0.002799954804850013, + "loss": 1.2633, + "step": 2755 + }, + { + "epoch": 0.24189297047924935, + "grad_norm": 0.078125, + "learning_rate": 0.0027997325808687915, + "loss": 1.2989, + "step": 2756 + }, + { + "epoch": 0.24198074006215184, + "grad_norm": 0.0908203125, + "learning_rate": 0.002799510243413513, + "loss": 1.3136, + "step": 2757 + }, + { + "epoch": 0.24206850964505433, + "grad_norm": 0.08154296875, + "learning_rate": 0.0027992877925061225, + "loss": 1.2612, + "step": 2758 + }, + { + "epoch": 0.2421562792279568, + "grad_norm": 0.07421875, + "learning_rate": 0.002799065228168574, + "loss": 1.3486, + "step": 2759 + }, + { + "epoch": 0.24224404881085929, + "grad_norm": 0.1435546875, + "learning_rate": 0.0027988425504228342, + "loss": 1.2895, + "step": 2760 + }, + { + "epoch": 0.24233181839376178, + "grad_norm": 0.1298828125, + "learning_rate": 0.0027986197592908806, + "loss": 1.3472, + "step": 2761 + }, + { + "epoch": 0.24241958797666427, + "grad_norm": 0.0849609375, + "learning_rate": 0.002798396854794701, + "loss": 1.2866, + "step": 2762 + }, + { + "epoch": 0.24250735755956676, + "grad_norm": 0.1240234375, + "learning_rate": 0.002798173836956296, + "loss": 1.291, + "step": 2763 + }, + { + "epoch": 0.24259512714246922, + "grad_norm": 0.07421875, + "learning_rate": 0.002797950705797677, + "loss": 1.2936, + "step": 2764 + }, + { + "epoch": 0.24268289672537172, + "grad_norm": 0.1337890625, + "learning_rate": 0.002797727461340865, + "loss": 1.2728, + "step": 2765 + }, + { + "epoch": 0.2427706663082742, + "grad_norm": 0.1015625, + "learning_rate": 0.002797504103607894, + "loss": 1.2896, + "step": 2766 + }, + { + "epoch": 0.2428584358911767, + "grad_norm": 0.099609375, + "learning_rate": 0.0027972806326208087, + "loss": 1.2608, + "step": 2767 + }, + { + "epoch": 0.24294620547407916, + "grad_norm": 0.1416015625, + "learning_rate": 0.0027970570484016645, + "loss": 1.2772, + "step": 2768 + }, + { + "epoch": 0.24303397505698165, + "grad_norm": 0.08837890625, + "learning_rate": 0.002796833350972528, + "loss": 1.2883, + "step": 2769 + }, + { + "epoch": 0.24312174463988415, + "grad_norm": 0.1396484375, + "learning_rate": 0.0027966095403554776, + "loss": 1.3528, + "step": 2770 + }, + { + "epoch": 0.24320951422278664, + "grad_norm": 0.09326171875, + "learning_rate": 0.002796385616572602, + "loss": 1.228, + "step": 2771 + }, + { + "epoch": 0.2432972838056891, + "grad_norm": 0.1474609375, + "learning_rate": 0.0027961615796460028, + "loss": 1.3179, + "step": 2772 + }, + { + "epoch": 0.2433850533885916, + "grad_norm": 0.09130859375, + "learning_rate": 0.0027959374295977906, + "loss": 1.2832, + "step": 2773 + }, + { + "epoch": 0.24347282297149409, + "grad_norm": 0.1396484375, + "learning_rate": 0.0027957131664500885, + "loss": 1.2588, + "step": 2774 + }, + { + "epoch": 0.24356059255439658, + "grad_norm": 0.0771484375, + "learning_rate": 0.0027954887902250304, + "loss": 1.2755, + "step": 2775 + }, + { + "epoch": 0.24364836213729907, + "grad_norm": 0.09326171875, + "learning_rate": 0.0027952643009447604, + "loss": 1.2313, + "step": 2776 + }, + { + "epoch": 0.24373613172020153, + "grad_norm": 0.1142578125, + "learning_rate": 0.002795039698631436, + "loss": 1.331, + "step": 2777 + }, + { + "epoch": 0.24382390130310402, + "grad_norm": 0.1787109375, + "learning_rate": 0.002794814983307224, + "loss": 1.2873, + "step": 2778 + }, + { + "epoch": 0.24391167088600652, + "grad_norm": 0.0693359375, + "learning_rate": 0.0027945901549943026, + "loss": 1.2511, + "step": 2779 + }, + { + "epoch": 0.243999440468909, + "grad_norm": 0.1650390625, + "learning_rate": 0.0027943652137148623, + "loss": 1.2692, + "step": 2780 + }, + { + "epoch": 0.24408721005181147, + "grad_norm": 0.09326171875, + "learning_rate": 0.002794140159491103, + "loss": 1.2691, + "step": 2781 + }, + { + "epoch": 0.24417497963471396, + "grad_norm": 0.10205078125, + "learning_rate": 0.002793914992345238, + "loss": 1.2996, + "step": 2782 + }, + { + "epoch": 0.24426274921761645, + "grad_norm": 0.09765625, + "learning_rate": 0.0027936897122994887, + "loss": 1.2517, + "step": 2783 + }, + { + "epoch": 0.24435051880051895, + "grad_norm": 0.07421875, + "learning_rate": 0.00279346431937609, + "loss": 1.2767, + "step": 2784 + }, + { + "epoch": 0.2444382883834214, + "grad_norm": 0.07958984375, + "learning_rate": 0.002793238813597288, + "loss": 1.2524, + "step": 2785 + }, + { + "epoch": 0.2445260579663239, + "grad_norm": 0.09814453125, + "learning_rate": 0.002793013194985338, + "loss": 1.294, + "step": 2786 + }, + { + "epoch": 0.2446138275492264, + "grad_norm": 0.0751953125, + "learning_rate": 0.0027927874635625093, + "loss": 1.2917, + "step": 2787 + }, + { + "epoch": 0.24470159713212888, + "grad_norm": 0.1015625, + "learning_rate": 0.002792561619351079, + "loss": 1.2642, + "step": 2788 + }, + { + "epoch": 0.24478936671503138, + "grad_norm": 0.087890625, + "learning_rate": 0.002792335662373338, + "loss": 1.3205, + "step": 2789 + }, + { + "epoch": 0.24487713629793384, + "grad_norm": 0.109375, + "learning_rate": 0.002792109592651587, + "loss": 1.2848, + "step": 2790 + }, + { + "epoch": 0.24496490588083633, + "grad_norm": 0.07763671875, + "learning_rate": 0.002791883410208138, + "loss": 1.3269, + "step": 2791 + }, + { + "epoch": 0.24505267546373882, + "grad_norm": 0.091796875, + "learning_rate": 0.0027916571150653157, + "loss": 1.2572, + "step": 2792 + }, + { + "epoch": 0.24514044504664131, + "grad_norm": 0.0703125, + "learning_rate": 0.0027914307072454524, + "loss": 1.2437, + "step": 2793 + }, + { + "epoch": 0.24522821462954378, + "grad_norm": 0.130859375, + "learning_rate": 0.002791204186770895, + "loss": 1.2579, + "step": 2794 + }, + { + "epoch": 0.24531598421244627, + "grad_norm": 0.09814453125, + "learning_rate": 0.0027909775536639997, + "loss": 1.2755, + "step": 2795 + }, + { + "epoch": 0.24540375379534876, + "grad_norm": 0.109375, + "learning_rate": 0.002790750807947135, + "loss": 1.3189, + "step": 2796 + }, + { + "epoch": 0.24549152337825125, + "grad_norm": 0.111328125, + "learning_rate": 0.0027905239496426788, + "loss": 1.3053, + "step": 2797 + }, + { + "epoch": 0.24557929296115374, + "grad_norm": 0.103515625, + "learning_rate": 0.002790296978773022, + "loss": 1.3057, + "step": 2798 + }, + { + "epoch": 0.2456670625440562, + "grad_norm": 0.18359375, + "learning_rate": 0.0027900698953605653, + "loss": 1.3154, + "step": 2799 + }, + { + "epoch": 0.2457548321269587, + "grad_norm": 0.09228515625, + "learning_rate": 0.0027898426994277204, + "loss": 1.3037, + "step": 2800 + }, + { + "epoch": 0.2458426017098612, + "grad_norm": 0.10009765625, + "learning_rate": 0.0027896153909969116, + "loss": 1.2648, + "step": 2801 + }, + { + "epoch": 0.24593037129276368, + "grad_norm": 0.12255859375, + "learning_rate": 0.002789387970090573, + "loss": 1.2515, + "step": 2802 + }, + { + "epoch": 0.24601814087566615, + "grad_norm": 0.06298828125, + "learning_rate": 0.00278916043673115, + "loss": 1.2333, + "step": 2803 + }, + { + "epoch": 0.24610591045856864, + "grad_norm": 0.142578125, + "learning_rate": 0.002788932790941099, + "loss": 1.2861, + "step": 2804 + }, + { + "epoch": 0.24619368004147113, + "grad_norm": 0.06884765625, + "learning_rate": 0.0027887050327428885, + "loss": 1.2821, + "step": 2805 + }, + { + "epoch": 0.24628144962437362, + "grad_norm": 0.1611328125, + "learning_rate": 0.002788477162158997, + "loss": 1.2608, + "step": 2806 + }, + { + "epoch": 0.24636921920727609, + "grad_norm": 0.0712890625, + "learning_rate": 0.002788249179211914, + "loss": 1.2737, + "step": 2807 + }, + { + "epoch": 0.24645698879017858, + "grad_norm": 0.251953125, + "learning_rate": 0.0027880210839241405, + "loss": 1.2698, + "step": 2808 + }, + { + "epoch": 0.24654475837308107, + "grad_norm": 0.060546875, + "learning_rate": 0.0027877928763181898, + "loss": 1.2469, + "step": 2809 + }, + { + "epoch": 0.24663252795598356, + "grad_norm": 0.1806640625, + "learning_rate": 0.0027875645564165836, + "loss": 1.2851, + "step": 2810 + }, + { + "epoch": 0.24672029753888605, + "grad_norm": 0.107421875, + "learning_rate": 0.002787336124241857, + "loss": 1.3066, + "step": 2811 + }, + { + "epoch": 0.24680806712178852, + "grad_norm": 0.078125, + "learning_rate": 0.002787107579816555, + "loss": 1.2742, + "step": 2812 + }, + { + "epoch": 0.246895836704691, + "grad_norm": 0.072265625, + "learning_rate": 0.0027868789231632342, + "loss": 1.2275, + "step": 2813 + }, + { + "epoch": 0.2469836062875935, + "grad_norm": 0.09765625, + "learning_rate": 0.0027866501543044623, + "loss": 1.2392, + "step": 2814 + }, + { + "epoch": 0.247071375870496, + "grad_norm": 0.0712890625, + "learning_rate": 0.0027864212732628176, + "loss": 1.2716, + "step": 2815 + }, + { + "epoch": 0.24715914545339845, + "grad_norm": 0.0751953125, + "learning_rate": 0.00278619228006089, + "loss": 1.3828, + "step": 2816 + }, + { + "epoch": 0.24724691503630095, + "grad_norm": 0.125, + "learning_rate": 0.00278596317472128, + "loss": 1.288, + "step": 2817 + }, + { + "epoch": 0.24733468461920344, + "grad_norm": 0.07666015625, + "learning_rate": 0.0027857339572665988, + "loss": 1.3191, + "step": 2818 + }, + { + "epoch": 0.24742245420210593, + "grad_norm": 0.1796875, + "learning_rate": 0.002785504627719471, + "loss": 1.2204, + "step": 2819 + }, + { + "epoch": 0.2475102237850084, + "grad_norm": 0.0673828125, + "learning_rate": 0.002785275186102528, + "loss": 1.2903, + "step": 2820 + }, + { + "epoch": 0.24759799336791088, + "grad_norm": 0.1630859375, + "learning_rate": 0.0027850456324384175, + "loss": 1.2806, + "step": 2821 + }, + { + "epoch": 0.24768576295081338, + "grad_norm": 0.10791015625, + "learning_rate": 0.0027848159667497934, + "loss": 1.2507, + "step": 2822 + }, + { + "epoch": 0.24777353253371587, + "grad_norm": 0.0732421875, + "learning_rate": 0.002784586189059324, + "loss": 1.2892, + "step": 2823 + }, + { + "epoch": 0.24786130211661836, + "grad_norm": 0.158203125, + "learning_rate": 0.002784356299389687, + "loss": 1.3613, + "step": 2824 + }, + { + "epoch": 0.24794907169952082, + "grad_norm": 0.06884765625, + "learning_rate": 0.0027841262977635717, + "loss": 1.295, + "step": 2825 + }, + { + "epoch": 0.24803684128242331, + "grad_norm": 0.0849609375, + "learning_rate": 0.002783896184203678, + "loss": 1.2566, + "step": 2826 + }, + { + "epoch": 0.2481246108653258, + "grad_norm": 0.0712890625, + "learning_rate": 0.002783665958732718, + "loss": 1.2489, + "step": 2827 + }, + { + "epoch": 0.2482123804482283, + "grad_norm": 0.0693359375, + "learning_rate": 0.002783435621373413, + "loss": 1.3062, + "step": 2828 + }, + { + "epoch": 0.24830015003113076, + "grad_norm": 0.0712890625, + "learning_rate": 0.0027832051721484972, + "loss": 1.2788, + "step": 2829 + }, + { + "epoch": 0.24838791961403325, + "grad_norm": 0.058837890625, + "learning_rate": 0.0027829746110807152, + "loss": 1.2482, + "step": 2830 + }, + { + "epoch": 0.24847568919693575, + "grad_norm": 0.06689453125, + "learning_rate": 0.002782743938192822, + "loss": 1.3907, + "step": 2831 + }, + { + "epoch": 0.24856345877983824, + "grad_norm": 0.09423828125, + "learning_rate": 0.0027825131535075837, + "loss": 1.3046, + "step": 2832 + }, + { + "epoch": 0.24865122836274073, + "grad_norm": 0.10205078125, + "learning_rate": 0.0027822822570477785, + "loss": 1.3073, + "step": 2833 + }, + { + "epoch": 0.2487389979456432, + "grad_norm": 0.06591796875, + "learning_rate": 0.002782051248836195, + "loss": 1.2559, + "step": 2834 + }, + { + "epoch": 0.24882676752854568, + "grad_norm": 0.07373046875, + "learning_rate": 0.0027818201288956315, + "loss": 1.3289, + "step": 2835 + }, + { + "epoch": 0.24891453711144818, + "grad_norm": 0.0693359375, + "learning_rate": 0.002781588897248901, + "loss": 1.2602, + "step": 2836 + }, + { + "epoch": 0.24900230669435067, + "grad_norm": 0.10205078125, + "learning_rate": 0.002781357553918823, + "loss": 1.2663, + "step": 2837 + }, + { + "epoch": 0.24909007627725313, + "grad_norm": 0.1279296875, + "learning_rate": 0.0027811260989282316, + "loss": 1.3229, + "step": 2838 + }, + { + "epoch": 0.24917784586015562, + "grad_norm": 0.11669921875, + "learning_rate": 0.002780894532299969, + "loss": 1.2647, + "step": 2839 + }, + { + "epoch": 0.24926561544305811, + "grad_norm": 0.08056640625, + "learning_rate": 0.0027806628540568913, + "loss": 1.3106, + "step": 2840 + }, + { + "epoch": 0.2493533850259606, + "grad_norm": 0.107421875, + "learning_rate": 0.002780431064221864, + "loss": 1.3421, + "step": 2841 + }, + { + "epoch": 0.24944115460886307, + "grad_norm": 0.10009765625, + "learning_rate": 0.002780199162817763, + "loss": 1.3106, + "step": 2842 + }, + { + "epoch": 0.24952892419176556, + "grad_norm": 0.11328125, + "learning_rate": 0.002779967149867477, + "loss": 1.2301, + "step": 2843 + }, + { + "epoch": 0.24961669377466805, + "grad_norm": 0.12255859375, + "learning_rate": 0.0027797350253939038, + "loss": 1.307, + "step": 2844 + }, + { + "epoch": 0.24970446335757054, + "grad_norm": 0.10205078125, + "learning_rate": 0.002779502789419954, + "loss": 1.3101, + "step": 2845 + }, + { + "epoch": 0.24979223294047304, + "grad_norm": 0.1435546875, + "learning_rate": 0.0027792704419685485, + "loss": 1.2597, + "step": 2846 + }, + { + "epoch": 0.2498800025233755, + "grad_norm": 0.0791015625, + "learning_rate": 0.002779037983062618, + "loss": 1.2363, + "step": 2847 + }, + { + "epoch": 0.249967772106278, + "grad_norm": 0.1845703125, + "learning_rate": 0.0027788054127251068, + "loss": 1.2775, + "step": 2848 + }, + { + "epoch": 0.2500555416891805, + "grad_norm": 0.125, + "learning_rate": 0.0027785727309789674, + "loss": 1.2657, + "step": 2849 + }, + { + "epoch": 0.25014331127208295, + "grad_norm": 0.08740234375, + "learning_rate": 0.0027783399378471653, + "loss": 1.3093, + "step": 2850 + }, + { + "epoch": 0.25023108085498547, + "grad_norm": 0.095703125, + "learning_rate": 0.002778107033352675, + "loss": 1.2647, + "step": 2851 + }, + { + "epoch": 0.25031885043788793, + "grad_norm": 0.064453125, + "learning_rate": 0.0027778740175184854, + "loss": 1.2843, + "step": 2852 + }, + { + "epoch": 0.2504066200207904, + "grad_norm": 0.08203125, + "learning_rate": 0.002777640890367592, + "loss": 1.3074, + "step": 2853 + }, + { + "epoch": 0.2504943896036929, + "grad_norm": 0.06201171875, + "learning_rate": 0.002777407651923005, + "loss": 1.3022, + "step": 2854 + }, + { + "epoch": 0.2505821591865954, + "grad_norm": 0.07177734375, + "learning_rate": 0.002777174302207744, + "loss": 1.3172, + "step": 2855 + }, + { + "epoch": 0.2506699287694979, + "grad_norm": 0.0810546875, + "learning_rate": 0.002776940841244839, + "loss": 1.3158, + "step": 2856 + }, + { + "epoch": 0.25075769835240036, + "grad_norm": 0.111328125, + "learning_rate": 0.002776707269057332, + "loss": 1.257, + "step": 2857 + }, + { + "epoch": 0.2508454679353028, + "grad_norm": 0.0849609375, + "learning_rate": 0.0027764735856682763, + "loss": 1.3238, + "step": 2858 + }, + { + "epoch": 0.25093323751820534, + "grad_norm": 0.1259765625, + "learning_rate": 0.0027762397911007338, + "loss": 1.2507, + "step": 2859 + }, + { + "epoch": 0.2510210071011078, + "grad_norm": 0.1015625, + "learning_rate": 0.0027760058853777813, + "loss": 1.3555, + "step": 2860 + }, + { + "epoch": 0.2511087766840103, + "grad_norm": 0.091796875, + "learning_rate": 0.002775771868522503, + "loss": 1.3293, + "step": 2861 + }, + { + "epoch": 0.2511965462669128, + "grad_norm": 0.11865234375, + "learning_rate": 0.0027755377405579954, + "loss": 1.2397, + "step": 2862 + }, + { + "epoch": 0.25128431584981525, + "grad_norm": 0.08349609375, + "learning_rate": 0.0027753035015073667, + "loss": 1.3477, + "step": 2863 + }, + { + "epoch": 0.2513720854327178, + "grad_norm": 0.10888671875, + "learning_rate": 0.0027750691513937346, + "loss": 1.2326, + "step": 2864 + }, + { + "epoch": 0.25145985501562024, + "grad_norm": 0.0927734375, + "learning_rate": 0.0027748346902402295, + "loss": 1.2899, + "step": 2865 + }, + { + "epoch": 0.2515476245985227, + "grad_norm": 0.09130859375, + "learning_rate": 0.0027746001180699907, + "loss": 1.3252, + "step": 2866 + }, + { + "epoch": 0.2516353941814252, + "grad_norm": 0.1552734375, + "learning_rate": 0.00277436543490617, + "loss": 1.2278, + "step": 2867 + }, + { + "epoch": 0.2517231637643277, + "grad_norm": 0.087890625, + "learning_rate": 0.0027741306407719304, + "loss": 1.2682, + "step": 2868 + }, + { + "epoch": 0.2518109333472302, + "grad_norm": 0.197265625, + "learning_rate": 0.002773895735690444, + "loss": 1.2905, + "step": 2869 + }, + { + "epoch": 0.25189870293013267, + "grad_norm": 0.2060546875, + "learning_rate": 0.0027736607196848957, + "loss": 1.3347, + "step": 2870 + }, + { + "epoch": 0.25198647251303513, + "grad_norm": 0.111328125, + "learning_rate": 0.0027734255927784803, + "loss": 1.2919, + "step": 2871 + }, + { + "epoch": 0.25207424209593765, + "grad_norm": 0.1171875, + "learning_rate": 0.0027731903549944046, + "loss": 1.2876, + "step": 2872 + }, + { + "epoch": 0.2521620116788401, + "grad_norm": 0.1533203125, + "learning_rate": 0.0027729550063558843, + "loss": 1.2204, + "step": 2873 + }, + { + "epoch": 0.25224978126174263, + "grad_norm": 0.10595703125, + "learning_rate": 0.0027727195468861487, + "loss": 1.3083, + "step": 2874 + }, + { + "epoch": 0.2523375508446451, + "grad_norm": 0.11083984375, + "learning_rate": 0.002772483976608436, + "loss": 1.3388, + "step": 2875 + }, + { + "epoch": 0.25242532042754756, + "grad_norm": 0.080078125, + "learning_rate": 0.0027722482955459967, + "loss": 1.3027, + "step": 2876 + }, + { + "epoch": 0.2525130900104501, + "grad_norm": 0.1904296875, + "learning_rate": 0.0027720125037220904, + "loss": 1.3228, + "step": 2877 + }, + { + "epoch": 0.25260085959335254, + "grad_norm": 0.10791015625, + "learning_rate": 0.0027717766011599904, + "loss": 1.3671, + "step": 2878 + }, + { + "epoch": 0.25268862917625506, + "grad_norm": 0.1796875, + "learning_rate": 0.002771540587882978, + "loss": 1.3272, + "step": 2879 + }, + { + "epoch": 0.25277639875915753, + "grad_norm": 0.1259765625, + "learning_rate": 0.002771304463914347, + "loss": 1.2853, + "step": 2880 + }, + { + "epoch": 0.25286416834206, + "grad_norm": 0.1396484375, + "learning_rate": 0.0027710682292774024, + "loss": 1.3132, + "step": 2881 + }, + { + "epoch": 0.2529519379249625, + "grad_norm": 0.08056640625, + "learning_rate": 0.00277083188399546, + "loss": 1.3118, + "step": 2882 + }, + { + "epoch": 0.253039707507865, + "grad_norm": 0.09814453125, + "learning_rate": 0.002770595428091845, + "loss": 1.2235, + "step": 2883 + }, + { + "epoch": 0.25312747709076744, + "grad_norm": 0.09033203125, + "learning_rate": 0.0027703588615898955, + "loss": 1.2472, + "step": 2884 + }, + { + "epoch": 0.25321524667366996, + "grad_norm": 0.07275390625, + "learning_rate": 0.002770122184512959, + "loss": 1.2688, + "step": 2885 + }, + { + "epoch": 0.2533030162565724, + "grad_norm": 0.12890625, + "learning_rate": 0.0027698853968843953, + "loss": 1.3174, + "step": 2886 + }, + { + "epoch": 0.25339078583947494, + "grad_norm": 0.09375, + "learning_rate": 0.0027696484987275736, + "loss": 1.321, + "step": 2887 + }, + { + "epoch": 0.2534785554223774, + "grad_norm": 0.0693359375, + "learning_rate": 0.0027694114900658757, + "loss": 1.2987, + "step": 2888 + }, + { + "epoch": 0.25356632500527987, + "grad_norm": 0.0810546875, + "learning_rate": 0.0027691743709226933, + "loss": 1.2478, + "step": 2889 + }, + { + "epoch": 0.2536540945881824, + "grad_norm": 0.0849609375, + "learning_rate": 0.0027689371413214285, + "loss": 1.2137, + "step": 2890 + }, + { + "epoch": 0.25374186417108485, + "grad_norm": 0.07275390625, + "learning_rate": 0.0027686998012854953, + "loss": 1.3501, + "step": 2891 + }, + { + "epoch": 0.25382963375398737, + "grad_norm": 0.0908203125, + "learning_rate": 0.0027684623508383186, + "loss": 1.2621, + "step": 2892 + }, + { + "epoch": 0.25391740333688984, + "grad_norm": 0.08349609375, + "learning_rate": 0.002768224790003333, + "loss": 1.3532, + "step": 2893 + }, + { + "epoch": 0.2540051729197923, + "grad_norm": 0.06884765625, + "learning_rate": 0.0027679871188039853, + "loss": 1.2514, + "step": 2894 + }, + { + "epoch": 0.2540929425026948, + "grad_norm": 0.06689453125, + "learning_rate": 0.0027677493372637325, + "loss": 1.2835, + "step": 2895 + }, + { + "epoch": 0.2541807120855973, + "grad_norm": 0.07275390625, + "learning_rate": 0.0027675114454060426, + "loss": 1.2727, + "step": 2896 + }, + { + "epoch": 0.25426848166849975, + "grad_norm": 0.0673828125, + "learning_rate": 0.002767273443254395, + "loss": 1.2444, + "step": 2897 + }, + { + "epoch": 0.25435625125140227, + "grad_norm": 0.08984375, + "learning_rate": 0.0027670353308322797, + "loss": 1.3285, + "step": 2898 + }, + { + "epoch": 0.25444402083430473, + "grad_norm": 0.13671875, + "learning_rate": 0.0027667971081631972, + "loss": 1.21, + "step": 2899 + }, + { + "epoch": 0.25453179041720725, + "grad_norm": 0.09716796875, + "learning_rate": 0.002766558775270658, + "loss": 1.2441, + "step": 2900 + }, + { + "epoch": 0.2546195600001097, + "grad_norm": 0.087890625, + "learning_rate": 0.002766320332178187, + "loss": 1.2806, + "step": 2901 + }, + { + "epoch": 0.2547073295830122, + "grad_norm": 0.12890625, + "learning_rate": 0.0027660817789093156, + "loss": 1.276, + "step": 2902 + }, + { + "epoch": 0.2547950991659147, + "grad_norm": 0.07861328125, + "learning_rate": 0.002765843115487589, + "loss": 1.2851, + "step": 2903 + }, + { + "epoch": 0.25488286874881716, + "grad_norm": 0.1533203125, + "learning_rate": 0.002765604341936562, + "loss": 1.3001, + "step": 2904 + }, + { + "epoch": 0.2549706383317197, + "grad_norm": 0.0966796875, + "learning_rate": 0.0027653654582798005, + "loss": 1.2329, + "step": 2905 + }, + { + "epoch": 0.25505840791462214, + "grad_norm": 0.1201171875, + "learning_rate": 0.0027651264645408816, + "loss": 1.2928, + "step": 2906 + }, + { + "epoch": 0.2551461774975246, + "grad_norm": 0.0654296875, + "learning_rate": 0.002764887360743393, + "loss": 1.3153, + "step": 2907 + }, + { + "epoch": 0.2552339470804271, + "grad_norm": 0.2109375, + "learning_rate": 0.0027646481469109333, + "loss": 1.2155, + "step": 2908 + }, + { + "epoch": 0.2553217166633296, + "grad_norm": 0.1435546875, + "learning_rate": 0.002764408823067112, + "loss": 1.3383, + "step": 2909 + }, + { + "epoch": 0.25540948624623205, + "grad_norm": 0.1083984375, + "learning_rate": 0.0027641693892355495, + "loss": 1.3011, + "step": 2910 + }, + { + "epoch": 0.2554972558291346, + "grad_norm": 0.10400390625, + "learning_rate": 0.0027639298454398766, + "loss": 1.2554, + "step": 2911 + }, + { + "epoch": 0.25558502541203704, + "grad_norm": 0.11865234375, + "learning_rate": 0.002763690191703736, + "loss": 1.2817, + "step": 2912 + }, + { + "epoch": 0.25567279499493956, + "grad_norm": 0.0908203125, + "learning_rate": 0.0027634504280507795, + "loss": 1.2574, + "step": 2913 + }, + { + "epoch": 0.255760564577842, + "grad_norm": 0.10400390625, + "learning_rate": 0.0027632105545046712, + "loss": 1.3318, + "step": 2914 + }, + { + "epoch": 0.2558483341607445, + "grad_norm": 0.07177734375, + "learning_rate": 0.0027629705710890866, + "loss": 1.3059, + "step": 2915 + }, + { + "epoch": 0.255936103743647, + "grad_norm": 0.06982421875, + "learning_rate": 0.0027627304778277107, + "loss": 1.3332, + "step": 2916 + }, + { + "epoch": 0.25602387332654947, + "grad_norm": 0.06884765625, + "learning_rate": 0.002762490274744239, + "loss": 1.2467, + "step": 2917 + }, + { + "epoch": 0.256111642909452, + "grad_norm": 0.07470703125, + "learning_rate": 0.002762249961862379, + "loss": 1.2977, + "step": 2918 + }, + { + "epoch": 0.25619941249235445, + "grad_norm": 0.1416015625, + "learning_rate": 0.002762009539205849, + "loss": 1.2804, + "step": 2919 + }, + { + "epoch": 0.2562871820752569, + "grad_norm": 0.09521484375, + "learning_rate": 0.002761769006798377, + "loss": 1.2428, + "step": 2920 + }, + { + "epoch": 0.25637495165815943, + "grad_norm": 0.09033203125, + "learning_rate": 0.0027615283646637034, + "loss": 1.2527, + "step": 2921 + }, + { + "epoch": 0.2564627212410619, + "grad_norm": 0.12890625, + "learning_rate": 0.0027612876128255783, + "loss": 1.2966, + "step": 2922 + }, + { + "epoch": 0.25655049082396436, + "grad_norm": 0.07958984375, + "learning_rate": 0.002761046751307763, + "loss": 1.2712, + "step": 2923 + }, + { + "epoch": 0.2566382604068669, + "grad_norm": 0.1376953125, + "learning_rate": 0.0027608057801340297, + "loss": 1.2714, + "step": 2924 + }, + { + "epoch": 0.25672602998976934, + "grad_norm": 0.09619140625, + "learning_rate": 0.002760564699328161, + "loss": 1.3367, + "step": 2925 + }, + { + "epoch": 0.25681379957267186, + "grad_norm": 0.11669921875, + "learning_rate": 0.0027603235089139503, + "loss": 1.2798, + "step": 2926 + }, + { + "epoch": 0.2569015691555743, + "grad_norm": 0.1650390625, + "learning_rate": 0.0027600822089152034, + "loss": 1.3074, + "step": 2927 + }, + { + "epoch": 0.2569893387384768, + "grad_norm": 0.07763671875, + "learning_rate": 0.0027598407993557343, + "loss": 1.267, + "step": 2928 + }, + { + "epoch": 0.2570771083213793, + "grad_norm": 0.10791015625, + "learning_rate": 0.0027595992802593697, + "loss": 1.2576, + "step": 2929 + }, + { + "epoch": 0.2571648779042818, + "grad_norm": 0.0634765625, + "learning_rate": 0.0027593576516499467, + "loss": 1.2105, + "step": 2930 + }, + { + "epoch": 0.2572526474871843, + "grad_norm": 0.15234375, + "learning_rate": 0.0027591159135513135, + "loss": 1.245, + "step": 2931 + }, + { + "epoch": 0.25734041707008676, + "grad_norm": 0.08154296875, + "learning_rate": 0.0027588740659873277, + "loss": 1.2673, + "step": 2932 + }, + { + "epoch": 0.2574281866529892, + "grad_norm": 0.1259765625, + "learning_rate": 0.002758632108981859, + "loss": 1.2934, + "step": 2933 + }, + { + "epoch": 0.25751595623589174, + "grad_norm": 0.09375, + "learning_rate": 0.002758390042558788, + "loss": 1.2124, + "step": 2934 + }, + { + "epoch": 0.2576037258187942, + "grad_norm": 0.158203125, + "learning_rate": 0.0027581478667420053, + "loss": 1.2355, + "step": 2935 + }, + { + "epoch": 0.25769149540169667, + "grad_norm": 0.10400390625, + "learning_rate": 0.0027579055815554134, + "loss": 1.2205, + "step": 2936 + }, + { + "epoch": 0.2577792649845992, + "grad_norm": 0.10595703125, + "learning_rate": 0.0027576631870229237, + "loss": 1.2628, + "step": 2937 + }, + { + "epoch": 0.25786703456750165, + "grad_norm": 0.1240234375, + "learning_rate": 0.0027574206831684606, + "loss": 1.2896, + "step": 2938 + }, + { + "epoch": 0.25795480415040417, + "grad_norm": 0.0732421875, + "learning_rate": 0.002757178070015958, + "loss": 1.2801, + "step": 2939 + }, + { + "epoch": 0.25804257373330663, + "grad_norm": 0.173828125, + "learning_rate": 0.002756935347589361, + "loss": 1.2961, + "step": 2940 + }, + { + "epoch": 0.2581303433162091, + "grad_norm": 0.07763671875, + "learning_rate": 0.0027566925159126245, + "loss": 1.2878, + "step": 2941 + }, + { + "epoch": 0.2582181128991116, + "grad_norm": 0.1572265625, + "learning_rate": 0.002756449575009716, + "loss": 1.2064, + "step": 2942 + }, + { + "epoch": 0.2583058824820141, + "grad_norm": 0.06494140625, + "learning_rate": 0.0027562065249046126, + "loss": 1.2946, + "step": 2943 + }, + { + "epoch": 0.2583936520649166, + "grad_norm": 0.154296875, + "learning_rate": 0.002755963365621301, + "loss": 1.3275, + "step": 2944 + }, + { + "epoch": 0.25848142164781907, + "grad_norm": 0.10986328125, + "learning_rate": 0.0027557200971837833, + "loss": 1.3336, + "step": 2945 + }, + { + "epoch": 0.25856919123072153, + "grad_norm": 0.10302734375, + "learning_rate": 0.0027554767196160657, + "loss": 1.332, + "step": 2946 + }, + { + "epoch": 0.25865696081362405, + "grad_norm": 0.076171875, + "learning_rate": 0.0027552332329421705, + "loss": 1.2901, + "step": 2947 + }, + { + "epoch": 0.2587447303965265, + "grad_norm": 0.1787109375, + "learning_rate": 0.002754989637186128, + "loss": 1.3124, + "step": 2948 + }, + { + "epoch": 0.25883249997942903, + "grad_norm": 0.2001953125, + "learning_rate": 0.0027547459323719816, + "loss": 1.3086, + "step": 2949 + }, + { + "epoch": 0.2589202695623315, + "grad_norm": 0.08740234375, + "learning_rate": 0.0027545021185237813, + "loss": 1.3149, + "step": 2950 + }, + { + "epoch": 0.25900803914523396, + "grad_norm": 0.1357421875, + "learning_rate": 0.0027542581956655934, + "loss": 1.2337, + "step": 2951 + }, + { + "epoch": 0.2590958087281365, + "grad_norm": 0.0791015625, + "learning_rate": 0.002754014163821491, + "loss": 1.2668, + "step": 2952 + }, + { + "epoch": 0.25918357831103894, + "grad_norm": 0.10205078125, + "learning_rate": 0.0027537700230155586, + "loss": 1.3238, + "step": 2953 + }, + { + "epoch": 0.2592713478939414, + "grad_norm": 0.060791015625, + "learning_rate": 0.002753525773271892, + "loss": 1.299, + "step": 2954 + }, + { + "epoch": 0.2593591174768439, + "grad_norm": 0.083984375, + "learning_rate": 0.0027532814146145985, + "loss": 1.2783, + "step": 2955 + }, + { + "epoch": 0.2594468870597464, + "grad_norm": 0.0732421875, + "learning_rate": 0.0027530369470677944, + "loss": 1.299, + "step": 2956 + }, + { + "epoch": 0.2595346566426489, + "grad_norm": 0.10302734375, + "learning_rate": 0.002752792370655608, + "loss": 1.306, + "step": 2957 + }, + { + "epoch": 0.2596224262255514, + "grad_norm": 0.09423828125, + "learning_rate": 0.0027525476854021787, + "loss": 1.2516, + "step": 2958 + }, + { + "epoch": 0.25971019580845384, + "grad_norm": 0.095703125, + "learning_rate": 0.0027523028913316555, + "loss": 1.2497, + "step": 2959 + }, + { + "epoch": 0.25979796539135636, + "grad_norm": 0.0986328125, + "learning_rate": 0.002752057988468199, + "loss": 1.2862, + "step": 2960 + }, + { + "epoch": 0.2598857349742588, + "grad_norm": 0.078125, + "learning_rate": 0.002751812976835978, + "loss": 1.2235, + "step": 2961 + }, + { + "epoch": 0.25997350455716134, + "grad_norm": 0.0693359375, + "learning_rate": 0.002751567856459177, + "loss": 1.2284, + "step": 2962 + }, + { + "epoch": 0.2600612741400638, + "grad_norm": 0.08642578125, + "learning_rate": 0.002751322627361987, + "loss": 1.2561, + "step": 2963 + }, + { + "epoch": 0.26014904372296627, + "grad_norm": 0.07373046875, + "learning_rate": 0.0027510772895686115, + "loss": 1.2054, + "step": 2964 + }, + { + "epoch": 0.2602368133058688, + "grad_norm": 0.064453125, + "learning_rate": 0.002750831843103264, + "loss": 1.2635, + "step": 2965 + }, + { + "epoch": 0.26032458288877125, + "grad_norm": 0.07177734375, + "learning_rate": 0.00275058628799017, + "loss": 1.2572, + "step": 2966 + }, + { + "epoch": 0.2604123524716737, + "grad_norm": 0.12255859375, + "learning_rate": 0.0027503406242535638, + "loss": 1.2678, + "step": 2967 + }, + { + "epoch": 0.26050012205457623, + "grad_norm": 0.138671875, + "learning_rate": 0.0027500948519176916, + "loss": 1.3122, + "step": 2968 + }, + { + "epoch": 0.2605878916374787, + "grad_norm": 0.061279296875, + "learning_rate": 0.00274984897100681, + "loss": 1.3071, + "step": 2969 + }, + { + "epoch": 0.2606756612203812, + "grad_norm": 0.1435546875, + "learning_rate": 0.002749602981545188, + "loss": 1.3317, + "step": 2970 + }, + { + "epoch": 0.2607634308032837, + "grad_norm": 0.083984375, + "learning_rate": 0.0027493568835571017, + "loss": 1.2548, + "step": 2971 + }, + { + "epoch": 0.26085120038618614, + "grad_norm": 0.06689453125, + "learning_rate": 0.002749110677066841, + "loss": 1.2289, + "step": 2972 + }, + { + "epoch": 0.26093896996908866, + "grad_norm": 0.07373046875, + "learning_rate": 0.002748864362098706, + "loss": 1.2861, + "step": 2973 + }, + { + "epoch": 0.2610267395519911, + "grad_norm": 0.068359375, + "learning_rate": 0.002748617938677006, + "loss": 1.3302, + "step": 2974 + }, + { + "epoch": 0.26111450913489365, + "grad_norm": 0.0869140625, + "learning_rate": 0.0027483714068260627, + "loss": 1.3258, + "step": 2975 + }, + { + "epoch": 0.2612022787177961, + "grad_norm": 0.10986328125, + "learning_rate": 0.0027481247665702073, + "loss": 1.2715, + "step": 2976 + }, + { + "epoch": 0.2612900483006986, + "grad_norm": 0.08642578125, + "learning_rate": 0.0027478780179337825, + "loss": 1.2598, + "step": 2977 + }, + { + "epoch": 0.2613778178836011, + "grad_norm": 0.07421875, + "learning_rate": 0.002747631160941142, + "loss": 1.3123, + "step": 2978 + }, + { + "epoch": 0.26146558746650356, + "grad_norm": 0.07958984375, + "learning_rate": 0.0027473841956166486, + "loss": 1.2426, + "step": 2979 + }, + { + "epoch": 0.261553357049406, + "grad_norm": 0.0869140625, + "learning_rate": 0.002747137121984677, + "loss": 1.2666, + "step": 2980 + }, + { + "epoch": 0.26164112663230854, + "grad_norm": 0.072265625, + "learning_rate": 0.0027468899400696126, + "loss": 1.2684, + "step": 2981 + }, + { + "epoch": 0.261728896215211, + "grad_norm": 0.0791015625, + "learning_rate": 0.002746642649895851, + "loss": 1.2418, + "step": 2982 + }, + { + "epoch": 0.2618166657981135, + "grad_norm": 0.06884765625, + "learning_rate": 0.0027463952514878, + "loss": 1.229, + "step": 2983 + }, + { + "epoch": 0.261904435381016, + "grad_norm": 0.072265625, + "learning_rate": 0.002746147744869876, + "loss": 1.3024, + "step": 2984 + }, + { + "epoch": 0.26199220496391845, + "grad_norm": 0.09033203125, + "learning_rate": 0.002745900130066506, + "loss": 1.2839, + "step": 2985 + }, + { + "epoch": 0.26207997454682097, + "grad_norm": 0.1552734375, + "learning_rate": 0.0027456524071021293, + "loss": 1.2519, + "step": 2986 + }, + { + "epoch": 0.26216774412972343, + "grad_norm": 0.07666015625, + "learning_rate": 0.0027454045760011963, + "loss": 1.2891, + "step": 2987 + }, + { + "epoch": 0.26225551371262595, + "grad_norm": 0.1279296875, + "learning_rate": 0.002745156636788165, + "loss": 1.3284, + "step": 2988 + }, + { + "epoch": 0.2623432832955284, + "grad_norm": 0.142578125, + "learning_rate": 0.0027449085894875073, + "loss": 1.1907, + "step": 2989 + }, + { + "epoch": 0.2624310528784309, + "grad_norm": 0.11083984375, + "learning_rate": 0.0027446604341237043, + "loss": 1.2706, + "step": 2990 + }, + { + "epoch": 0.2625188224613334, + "grad_norm": 0.08544921875, + "learning_rate": 0.0027444121707212474, + "loss": 1.2473, + "step": 2991 + }, + { + "epoch": 0.26260659204423586, + "grad_norm": 0.1484375, + "learning_rate": 0.0027441637993046403, + "loss": 1.2635, + "step": 2992 + }, + { + "epoch": 0.26269436162713833, + "grad_norm": 0.07958984375, + "learning_rate": 0.002743915319898395, + "loss": 1.33, + "step": 2993 + }, + { + "epoch": 0.26278213121004085, + "grad_norm": 0.07763671875, + "learning_rate": 0.002743666732527036, + "loss": 1.237, + "step": 2994 + }, + { + "epoch": 0.2628699007929433, + "grad_norm": 0.0751953125, + "learning_rate": 0.0027434180372150983, + "loss": 1.261, + "step": 2995 + }, + { + "epoch": 0.26295767037584583, + "grad_norm": 0.06689453125, + "learning_rate": 0.0027431692339871267, + "loss": 1.2457, + "step": 2996 + }, + { + "epoch": 0.2630454399587483, + "grad_norm": 0.06201171875, + "learning_rate": 0.0027429203228676773, + "loss": 1.2615, + "step": 2997 + }, + { + "epoch": 0.26313320954165076, + "grad_norm": 0.08984375, + "learning_rate": 0.0027426713038813163, + "loss": 1.2716, + "step": 2998 + }, + { + "epoch": 0.2632209791245533, + "grad_norm": 0.1083984375, + "learning_rate": 0.002742422177052621, + "loss": 1.3092, + "step": 2999 + }, + { + "epoch": 0.26330874870745574, + "grad_norm": 0.061767578125, + "learning_rate": 0.002742172942406179, + "loss": 1.3333, + "step": 3000 + }, + { + "epoch": 0.26330874870745574, + "eval_loss": 1.2623319625854492, + "eval_runtime": 437.7402, + "eval_samples_per_second": 33.673, + "eval_steps_per_second": 8.418, + "step": 3000 + }, + { + "epoch": 0.26339651829035826, + "grad_norm": 0.06884765625, + "learning_rate": 0.0027419235999665897, + "loss": 1.3216, + "step": 3001 + }, + { + "epoch": 0.2634842878732607, + "grad_norm": 0.078125, + "learning_rate": 0.002741674149758461, + "loss": 1.2587, + "step": 3002 + }, + { + "epoch": 0.2635720574561632, + "grad_norm": 0.06494140625, + "learning_rate": 0.002741424591806414, + "loss": 1.2656, + "step": 3003 + }, + { + "epoch": 0.2636598270390657, + "grad_norm": 0.11181640625, + "learning_rate": 0.002741174926135078, + "loss": 1.2652, + "step": 3004 + }, + { + "epoch": 0.26374759662196817, + "grad_norm": 0.140625, + "learning_rate": 0.002740925152769094, + "loss": 1.2813, + "step": 3005 + }, + { + "epoch": 0.26383536620487064, + "grad_norm": 0.0771484375, + "learning_rate": 0.0027406752717331145, + "loss": 1.1798, + "step": 3006 + }, + { + "epoch": 0.26392313578777316, + "grad_norm": 0.1533203125, + "learning_rate": 0.002740425283051801, + "loss": 1.1798, + "step": 3007 + }, + { + "epoch": 0.2640109053706756, + "grad_norm": 0.08203125, + "learning_rate": 0.0027401751867498266, + "loss": 1.3219, + "step": 3008 + }, + { + "epoch": 0.26409867495357814, + "grad_norm": 0.26953125, + "learning_rate": 0.0027399249828518753, + "loss": 1.2289, + "step": 3009 + }, + { + "epoch": 0.2641864445364806, + "grad_norm": 0.10009765625, + "learning_rate": 0.00273967467138264, + "loss": 1.2492, + "step": 3010 + }, + { + "epoch": 0.26427421411938307, + "grad_norm": 0.1201171875, + "learning_rate": 0.002739424252366827, + "loss": 1.2659, + "step": 3011 + }, + { + "epoch": 0.2643619837022856, + "grad_norm": 0.08642578125, + "learning_rate": 0.0027391737258291513, + "loss": 1.2757, + "step": 3012 + }, + { + "epoch": 0.26444975328518805, + "grad_norm": 0.0771484375, + "learning_rate": 0.0027389230917943376, + "loss": 1.2943, + "step": 3013 + }, + { + "epoch": 0.26453752286809057, + "grad_norm": 0.0908203125, + "learning_rate": 0.0027386723502871237, + "loss": 1.2918, + "step": 3014 + }, + { + "epoch": 0.26462529245099303, + "grad_norm": 0.0791015625, + "learning_rate": 0.0027384215013322565, + "loss": 1.3467, + "step": 3015 + }, + { + "epoch": 0.2647130620338955, + "grad_norm": 0.0927734375, + "learning_rate": 0.0027381705449544937, + "loss": 1.1855, + "step": 3016 + }, + { + "epoch": 0.264800831616798, + "grad_norm": 0.091796875, + "learning_rate": 0.002737919481178604, + "loss": 1.2759, + "step": 3017 + }, + { + "epoch": 0.2648886011997005, + "grad_norm": 0.07275390625, + "learning_rate": 0.002737668310029366, + "loss": 1.3151, + "step": 3018 + }, + { + "epoch": 0.264976370782603, + "grad_norm": 0.061279296875, + "learning_rate": 0.0027374170315315697, + "loss": 1.2375, + "step": 3019 + }, + { + "epoch": 0.26506414036550546, + "grad_norm": 0.08837890625, + "learning_rate": 0.0027371656457100147, + "loss": 1.3008, + "step": 3020 + }, + { + "epoch": 0.2651519099484079, + "grad_norm": 0.0693359375, + "learning_rate": 0.0027369141525895122, + "loss": 1.2934, + "step": 3021 + }, + { + "epoch": 0.26523967953131045, + "grad_norm": 0.091796875, + "learning_rate": 0.0027366625521948844, + "loss": 1.2363, + "step": 3022 + }, + { + "epoch": 0.2653274491142129, + "grad_norm": 0.09130859375, + "learning_rate": 0.002736410844550961, + "loss": 1.2215, + "step": 3023 + }, + { + "epoch": 0.2654152186971154, + "grad_norm": 0.10302734375, + "learning_rate": 0.0027361590296825873, + "loss": 1.2465, + "step": 3024 + }, + { + "epoch": 0.2655029882800179, + "grad_norm": 0.0859375, + "learning_rate": 0.002735907107614614, + "loss": 1.2531, + "step": 3025 + }, + { + "epoch": 0.26559075786292036, + "grad_norm": 0.08740234375, + "learning_rate": 0.0027356550783719067, + "loss": 1.2992, + "step": 3026 + }, + { + "epoch": 0.2656785274458229, + "grad_norm": 0.107421875, + "learning_rate": 0.0027354029419793388, + "loss": 1.2623, + "step": 3027 + }, + { + "epoch": 0.26576629702872534, + "grad_norm": 0.083984375, + "learning_rate": 0.0027351506984617945, + "loss": 1.2807, + "step": 3028 + }, + { + "epoch": 0.2658540666116278, + "grad_norm": 0.07861328125, + "learning_rate": 0.0027348983478441705, + "loss": 1.2909, + "step": 3029 + }, + { + "epoch": 0.2659418361945303, + "grad_norm": 0.0947265625, + "learning_rate": 0.0027346458901513727, + "loss": 1.2481, + "step": 3030 + }, + { + "epoch": 0.2660296057774328, + "grad_norm": 0.1259765625, + "learning_rate": 0.0027343933254083165, + "loss": 1.3352, + "step": 3031 + }, + { + "epoch": 0.2661173753603353, + "grad_norm": 0.1064453125, + "learning_rate": 0.0027341406536399303, + "loss": 1.3, + "step": 3032 + }, + { + "epoch": 0.26620514494323777, + "grad_norm": 0.07275390625, + "learning_rate": 0.002733887874871151, + "loss": 1.2858, + "step": 3033 + }, + { + "epoch": 0.26629291452614023, + "grad_norm": 0.06396484375, + "learning_rate": 0.0027336349891269275, + "loss": 1.2806, + "step": 3034 + }, + { + "epoch": 0.26638068410904275, + "grad_norm": 0.08447265625, + "learning_rate": 0.002733381996432218, + "loss": 1.3209, + "step": 3035 + }, + { + "epoch": 0.2664684536919452, + "grad_norm": 0.099609375, + "learning_rate": 0.0027331288968119928, + "loss": 1.2558, + "step": 3036 + }, + { + "epoch": 0.2665562232748477, + "grad_norm": 0.1650390625, + "learning_rate": 0.0027328756902912305, + "loss": 1.2399, + "step": 3037 + }, + { + "epoch": 0.2666439928577502, + "grad_norm": 0.06689453125, + "learning_rate": 0.002732622376894922, + "loss": 1.2427, + "step": 3038 + }, + { + "epoch": 0.26673176244065266, + "grad_norm": 0.1376953125, + "learning_rate": 0.0027323689566480696, + "loss": 1.2434, + "step": 3039 + }, + { + "epoch": 0.2668195320235552, + "grad_norm": 0.0927734375, + "learning_rate": 0.0027321154295756834, + "loss": 1.2715, + "step": 3040 + }, + { + "epoch": 0.26690730160645765, + "grad_norm": 0.2314453125, + "learning_rate": 0.0027318617957027857, + "loss": 1.2983, + "step": 3041 + }, + { + "epoch": 0.2669950711893601, + "grad_norm": 0.11962890625, + "learning_rate": 0.00273160805505441, + "loss": 1.306, + "step": 3042 + }, + { + "epoch": 0.26708284077226263, + "grad_norm": 0.11083984375, + "learning_rate": 0.002731354207655599, + "loss": 1.2572, + "step": 3043 + }, + { + "epoch": 0.2671706103551651, + "grad_norm": 0.1328125, + "learning_rate": 0.002731100253531406, + "loss": 1.3614, + "step": 3044 + }, + { + "epoch": 0.2672583799380676, + "grad_norm": 0.06689453125, + "learning_rate": 0.0027308461927068963, + "loss": 1.2965, + "step": 3045 + }, + { + "epoch": 0.2673461495209701, + "grad_norm": 0.0810546875, + "learning_rate": 0.0027305920252071437, + "loss": 1.2385, + "step": 3046 + }, + { + "epoch": 0.26743391910387254, + "grad_norm": 0.0654296875, + "learning_rate": 0.0027303377510572335, + "loss": 1.3075, + "step": 3047 + }, + { + "epoch": 0.26752168868677506, + "grad_norm": 0.08203125, + "learning_rate": 0.0027300833702822627, + "loss": 1.299, + "step": 3048 + }, + { + "epoch": 0.2676094582696775, + "grad_norm": 0.07080078125, + "learning_rate": 0.0027298288829073368, + "loss": 1.2657, + "step": 3049 + }, + { + "epoch": 0.26769722785258, + "grad_norm": 0.10205078125, + "learning_rate": 0.0027295742889575725, + "loss": 1.2794, + "step": 3050 + }, + { + "epoch": 0.2677849974354825, + "grad_norm": 0.0595703125, + "learning_rate": 0.0027293195884580974, + "loss": 1.2349, + "step": 3051 + }, + { + "epoch": 0.26787276701838497, + "grad_norm": 0.1435546875, + "learning_rate": 0.00272906478143405, + "loss": 1.288, + "step": 3052 + }, + { + "epoch": 0.2679605366012875, + "grad_norm": 0.07080078125, + "learning_rate": 0.002728809867910578, + "loss": 1.2928, + "step": 3053 + }, + { + "epoch": 0.26804830618418996, + "grad_norm": 0.15234375, + "learning_rate": 0.002728554847912841, + "loss": 1.2692, + "step": 3054 + }, + { + "epoch": 0.2681360757670924, + "grad_norm": 0.07080078125, + "learning_rate": 0.0027282997214660076, + "loss": 1.2758, + "step": 3055 + }, + { + "epoch": 0.26822384534999494, + "grad_norm": 0.1826171875, + "learning_rate": 0.0027280444885952587, + "loss": 1.303, + "step": 3056 + }, + { + "epoch": 0.2683116149328974, + "grad_norm": 0.125, + "learning_rate": 0.0027277891493257844, + "loss": 1.2385, + "step": 3057 + }, + { + "epoch": 0.2683993845157999, + "grad_norm": 0.1025390625, + "learning_rate": 0.0027275337036827855, + "loss": 1.2298, + "step": 3058 + }, + { + "epoch": 0.2684871540987024, + "grad_norm": 0.1259765625, + "learning_rate": 0.0027272781516914733, + "loss": 1.3027, + "step": 3059 + }, + { + "epoch": 0.26857492368160485, + "grad_norm": 0.0859375, + "learning_rate": 0.002727022493377071, + "loss": 1.3254, + "step": 3060 + }, + { + "epoch": 0.26866269326450737, + "grad_norm": 0.08740234375, + "learning_rate": 0.0027267667287648096, + "loss": 1.2489, + "step": 3061 + }, + { + "epoch": 0.26875046284740983, + "grad_norm": 0.0869140625, + "learning_rate": 0.0027265108578799326, + "loss": 1.2781, + "step": 3062 + }, + { + "epoch": 0.2688382324303123, + "grad_norm": 0.09521484375, + "learning_rate": 0.002726254880747694, + "loss": 1.2501, + "step": 3063 + }, + { + "epoch": 0.2689260020132148, + "grad_norm": 0.1337890625, + "learning_rate": 0.0027259987973933565, + "loss": 1.2445, + "step": 3064 + }, + { + "epoch": 0.2690137715961173, + "grad_norm": 0.068359375, + "learning_rate": 0.0027257426078421956, + "loss": 1.3197, + "step": 3065 + }, + { + "epoch": 0.2691015411790198, + "grad_norm": 0.109375, + "learning_rate": 0.0027254863121194957, + "loss": 1.2904, + "step": 3066 + }, + { + "epoch": 0.26918931076192226, + "grad_norm": 0.06640625, + "learning_rate": 0.0027252299102505525, + "loss": 1.2786, + "step": 3067 + }, + { + "epoch": 0.2692770803448247, + "grad_norm": 0.1328125, + "learning_rate": 0.002724973402260671, + "loss": 1.2729, + "step": 3068 + }, + { + "epoch": 0.26936484992772725, + "grad_norm": 0.0810546875, + "learning_rate": 0.0027247167881751687, + "loss": 1.2518, + "step": 3069 + }, + { + "epoch": 0.2694526195106297, + "grad_norm": 0.146484375, + "learning_rate": 0.002724460068019371, + "loss": 1.3055, + "step": 3070 + }, + { + "epoch": 0.26954038909353223, + "grad_norm": 0.10986328125, + "learning_rate": 0.0027242032418186173, + "loss": 1.2591, + "step": 3071 + }, + { + "epoch": 0.2696281586764347, + "grad_norm": 0.10498046875, + "learning_rate": 0.0027239463095982534, + "loss": 1.2607, + "step": 3072 + }, + { + "epoch": 0.26971592825933716, + "grad_norm": 0.11376953125, + "learning_rate": 0.002723689271383638, + "loss": 1.3159, + "step": 3073 + }, + { + "epoch": 0.2698036978422397, + "grad_norm": 0.10693359375, + "learning_rate": 0.00272343212720014, + "loss": 1.2002, + "step": 3074 + }, + { + "epoch": 0.26989146742514214, + "grad_norm": 0.1767578125, + "learning_rate": 0.0027231748770731386, + "loss": 1.316, + "step": 3075 + }, + { + "epoch": 0.2699792370080446, + "grad_norm": 0.0654296875, + "learning_rate": 0.002722917521028023, + "loss": 1.2967, + "step": 3076 + }, + { + "epoch": 0.2700670065909471, + "grad_norm": 0.09716796875, + "learning_rate": 0.0027226600590901933, + "loss": 1.3347, + "step": 3077 + }, + { + "epoch": 0.2701547761738496, + "grad_norm": 0.0732421875, + "learning_rate": 0.0027224024912850604, + "loss": 1.3171, + "step": 3078 + }, + { + "epoch": 0.2702425457567521, + "grad_norm": 0.10986328125, + "learning_rate": 0.0027221448176380446, + "loss": 1.299, + "step": 3079 + }, + { + "epoch": 0.27033031533965457, + "grad_norm": 0.0791015625, + "learning_rate": 0.0027218870381745777, + "loss": 1.2303, + "step": 3080 + }, + { + "epoch": 0.27041808492255703, + "grad_norm": 0.09619140625, + "learning_rate": 0.002721629152920101, + "loss": 1.332, + "step": 3081 + }, + { + "epoch": 0.27050585450545955, + "grad_norm": 0.095703125, + "learning_rate": 0.0027213711619000678, + "loss": 1.221, + "step": 3082 + }, + { + "epoch": 0.270593624088362, + "grad_norm": 0.11572265625, + "learning_rate": 0.0027211130651399397, + "loss": 1.2766, + "step": 3083 + }, + { + "epoch": 0.27068139367126454, + "grad_norm": 0.1240234375, + "learning_rate": 0.0027208548626651906, + "loss": 1.3172, + "step": 3084 + }, + { + "epoch": 0.270769163254167, + "grad_norm": 0.107421875, + "learning_rate": 0.002720596554501303, + "loss": 1.2946, + "step": 3085 + }, + { + "epoch": 0.27085693283706946, + "grad_norm": 0.166015625, + "learning_rate": 0.0027203381406737726, + "loss": 1.2846, + "step": 3086 + }, + { + "epoch": 0.270944702419972, + "grad_norm": 0.06689453125, + "learning_rate": 0.002720079621208102, + "loss": 1.3227, + "step": 3087 + }, + { + "epoch": 0.27103247200287445, + "grad_norm": 0.0869140625, + "learning_rate": 0.0027198209961298075, + "loss": 1.2751, + "step": 3088 + }, + { + "epoch": 0.27112024158577697, + "grad_norm": 0.06201171875, + "learning_rate": 0.002719562265464413, + "loss": 1.2337, + "step": 3089 + }, + { + "epoch": 0.27120801116867943, + "grad_norm": 0.09130859375, + "learning_rate": 0.0027193034292374556, + "loss": 1.3, + "step": 3090 + }, + { + "epoch": 0.2712957807515819, + "grad_norm": 0.09814453125, + "learning_rate": 0.0027190444874744804, + "loss": 1.2456, + "step": 3091 + }, + { + "epoch": 0.2713835503344844, + "grad_norm": 0.06494140625, + "learning_rate": 0.002718785440201044, + "loss": 1.2532, + "step": 3092 + }, + { + "epoch": 0.2714713199173869, + "grad_norm": 0.06396484375, + "learning_rate": 0.002718526287442715, + "loss": 1.249, + "step": 3093 + }, + { + "epoch": 0.27155908950028934, + "grad_norm": 0.06884765625, + "learning_rate": 0.002718267029225068, + "loss": 1.2369, + "step": 3094 + }, + { + "epoch": 0.27164685908319186, + "grad_norm": 0.1259765625, + "learning_rate": 0.0027180076655736927, + "loss": 1.3229, + "step": 3095 + }, + { + "epoch": 0.2717346286660943, + "grad_norm": 0.060302734375, + "learning_rate": 0.0027177481965141863, + "loss": 1.2477, + "step": 3096 + }, + { + "epoch": 0.27182239824899684, + "grad_norm": 0.1318359375, + "learning_rate": 0.002717488622072158, + "loss": 1.2562, + "step": 3097 + }, + { + "epoch": 0.2719101678318993, + "grad_norm": 0.0703125, + "learning_rate": 0.0027172289422732264, + "loss": 1.2525, + "step": 3098 + }, + { + "epoch": 0.27199793741480177, + "grad_norm": 0.1328125, + "learning_rate": 0.0027169691571430213, + "loss": 1.3141, + "step": 3099 + }, + { + "epoch": 0.2720857069977043, + "grad_norm": 0.0751953125, + "learning_rate": 0.0027167092667071823, + "loss": 1.2962, + "step": 3100 + }, + { + "epoch": 0.27217347658060675, + "grad_norm": 0.11376953125, + "learning_rate": 0.0027164492709913592, + "loss": 1.2762, + "step": 3101 + }, + { + "epoch": 0.2722612461635093, + "grad_norm": 0.06640625, + "learning_rate": 0.0027161891700212123, + "loss": 1.243, + "step": 3102 + }, + { + "epoch": 0.27234901574641174, + "grad_norm": 0.140625, + "learning_rate": 0.0027159289638224136, + "loss": 1.2123, + "step": 3103 + }, + { + "epoch": 0.2724367853293142, + "grad_norm": 0.06787109375, + "learning_rate": 0.002715668652420644, + "loss": 1.3245, + "step": 3104 + }, + { + "epoch": 0.2725245549122167, + "grad_norm": 0.11279296875, + "learning_rate": 0.0027154082358415944, + "loss": 1.2756, + "step": 3105 + }, + { + "epoch": 0.2726123244951192, + "grad_norm": 0.0849609375, + "learning_rate": 0.002715147714110968, + "loss": 1.3757, + "step": 3106 + }, + { + "epoch": 0.27270009407802165, + "grad_norm": 0.0830078125, + "learning_rate": 0.0027148870872544767, + "loss": 1.2723, + "step": 3107 + }, + { + "epoch": 0.27278786366092417, + "grad_norm": 0.06884765625, + "learning_rate": 0.002714626355297843, + "loss": 1.2623, + "step": 3108 + }, + { + "epoch": 0.27287563324382663, + "grad_norm": 0.10107421875, + "learning_rate": 0.0027143655182668013, + "loss": 1.3115, + "step": 3109 + }, + { + "epoch": 0.27296340282672915, + "grad_norm": 0.1396484375, + "learning_rate": 0.0027141045761870943, + "loss": 1.2493, + "step": 3110 + }, + { + "epoch": 0.2730511724096316, + "grad_norm": 0.10302734375, + "learning_rate": 0.0027138435290844755, + "loss": 1.2701, + "step": 3111 + }, + { + "epoch": 0.2731389419925341, + "grad_norm": 0.060302734375, + "learning_rate": 0.0027135823769847103, + "loss": 1.274, + "step": 3112 + }, + { + "epoch": 0.2732267115754366, + "grad_norm": 0.08251953125, + "learning_rate": 0.002713321119913573, + "loss": 1.2382, + "step": 3113 + }, + { + "epoch": 0.27331448115833906, + "grad_norm": 0.0634765625, + "learning_rate": 0.002713059757896848, + "loss": 1.3094, + "step": 3114 + }, + { + "epoch": 0.2734022507412416, + "grad_norm": 0.1474609375, + "learning_rate": 0.0027127982909603316, + "loss": 1.2698, + "step": 3115 + }, + { + "epoch": 0.27349002032414405, + "grad_norm": 0.09521484375, + "learning_rate": 0.002712536719129829, + "loss": 1.2649, + "step": 3116 + }, + { + "epoch": 0.2735777899070465, + "grad_norm": 0.1025390625, + "learning_rate": 0.0027122750424311563, + "loss": 1.2478, + "step": 3117 + }, + { + "epoch": 0.27366555948994903, + "grad_norm": 0.07958984375, + "learning_rate": 0.0027120132608901403, + "loss": 1.2676, + "step": 3118 + }, + { + "epoch": 0.2737533290728515, + "grad_norm": 0.06982421875, + "learning_rate": 0.0027117513745326177, + "loss": 1.2763, + "step": 3119 + }, + { + "epoch": 0.27384109865575396, + "grad_norm": 0.09130859375, + "learning_rate": 0.0027114893833844354, + "loss": 1.2725, + "step": 3120 + }, + { + "epoch": 0.2739288682386565, + "grad_norm": 0.1123046875, + "learning_rate": 0.0027112272874714512, + "loss": 1.2625, + "step": 3121 + }, + { + "epoch": 0.27401663782155894, + "grad_norm": 0.09326171875, + "learning_rate": 0.002710965086819533, + "loss": 1.2014, + "step": 3122 + }, + { + "epoch": 0.27410440740446146, + "grad_norm": 0.0634765625, + "learning_rate": 0.0027107027814545588, + "loss": 1.2619, + "step": 3123 + }, + { + "epoch": 0.2741921769873639, + "grad_norm": 0.087890625, + "learning_rate": 0.002710440371402416, + "loss": 1.2834, + "step": 3124 + }, + { + "epoch": 0.2742799465702664, + "grad_norm": 0.08251953125, + "learning_rate": 0.0027101778566890056, + "loss": 1.2103, + "step": 3125 + }, + { + "epoch": 0.2743677161531689, + "grad_norm": 0.134765625, + "learning_rate": 0.0027099152373402354, + "loss": 1.2863, + "step": 3126 + }, + { + "epoch": 0.27445548573607137, + "grad_norm": 0.1416015625, + "learning_rate": 0.002709652513382025, + "loss": 1.2799, + "step": 3127 + }, + { + "epoch": 0.2745432553189739, + "grad_norm": 0.0986328125, + "learning_rate": 0.0027093896848403047, + "loss": 1.3309, + "step": 3128 + }, + { + "epoch": 0.27463102490187635, + "grad_norm": 0.1611328125, + "learning_rate": 0.0027091267517410137, + "loss": 1.2526, + "step": 3129 + }, + { + "epoch": 0.2747187944847788, + "grad_norm": 0.07373046875, + "learning_rate": 0.0027088637141101037, + "loss": 1.2656, + "step": 3130 + }, + { + "epoch": 0.27480656406768134, + "grad_norm": 0.1708984375, + "learning_rate": 0.0027086005719735348, + "loss": 1.2612, + "step": 3131 + }, + { + "epoch": 0.2748943336505838, + "grad_norm": 0.10302734375, + "learning_rate": 0.0027083373253572775, + "loss": 1.318, + "step": 3132 + }, + { + "epoch": 0.27498210323348626, + "grad_norm": 0.10986328125, + "learning_rate": 0.002708073974287314, + "loss": 1.2395, + "step": 3133 + }, + { + "epoch": 0.2750698728163888, + "grad_norm": 0.095703125, + "learning_rate": 0.002707810518789636, + "loss": 1.2935, + "step": 3134 + }, + { + "epoch": 0.27515764239929125, + "grad_norm": 0.080078125, + "learning_rate": 0.0027075469588902458, + "loss": 1.2433, + "step": 3135 + }, + { + "epoch": 0.27524541198219377, + "grad_norm": 0.0751953125, + "learning_rate": 0.0027072832946151548, + "loss": 1.3055, + "step": 3136 + }, + { + "epoch": 0.27533318156509623, + "grad_norm": 0.07666015625, + "learning_rate": 0.0027070195259903855, + "loss": 1.2839, + "step": 3137 + }, + { + "epoch": 0.2754209511479987, + "grad_norm": 0.09814453125, + "learning_rate": 0.0027067556530419724, + "loss": 1.2903, + "step": 3138 + }, + { + "epoch": 0.2755087207309012, + "grad_norm": 0.0986328125, + "learning_rate": 0.002706491675795957, + "loss": 1.2727, + "step": 3139 + }, + { + "epoch": 0.2755964903138037, + "grad_norm": 0.07470703125, + "learning_rate": 0.0027062275942783937, + "loss": 1.3098, + "step": 3140 + }, + { + "epoch": 0.2756842598967062, + "grad_norm": 0.07763671875, + "learning_rate": 0.002705963408515347, + "loss": 1.2358, + "step": 3141 + }, + { + "epoch": 0.27577202947960866, + "grad_norm": 0.07470703125, + "learning_rate": 0.002705699118532889, + "loss": 1.2854, + "step": 3142 + }, + { + "epoch": 0.2758597990625111, + "grad_norm": 0.08447265625, + "learning_rate": 0.0027054347243571056, + "loss": 1.3004, + "step": 3143 + }, + { + "epoch": 0.27594756864541364, + "grad_norm": 0.080078125, + "learning_rate": 0.002705170226014091, + "loss": 1.2557, + "step": 3144 + }, + { + "epoch": 0.2760353382283161, + "grad_norm": 0.10888671875, + "learning_rate": 0.00270490562352995, + "loss": 1.343, + "step": 3145 + }, + { + "epoch": 0.27612310781121857, + "grad_norm": 0.09228515625, + "learning_rate": 0.002704640916930798, + "loss": 1.332, + "step": 3146 + }, + { + "epoch": 0.2762108773941211, + "grad_norm": 0.057373046875, + "learning_rate": 0.0027043761062427608, + "loss": 1.2694, + "step": 3147 + }, + { + "epoch": 0.27629864697702355, + "grad_norm": 0.06884765625, + "learning_rate": 0.002704111191491974, + "loss": 1.225, + "step": 3148 + }, + { + "epoch": 0.2763864165599261, + "grad_norm": 0.058349609375, + "learning_rate": 0.002703846172704583, + "loss": 1.2331, + "step": 3149 + }, + { + "epoch": 0.27647418614282854, + "grad_norm": 0.06689453125, + "learning_rate": 0.002703581049906745, + "loss": 1.2785, + "step": 3150 + }, + { + "epoch": 0.276561955725731, + "grad_norm": 0.0703125, + "learning_rate": 0.002703315823124626, + "loss": 1.3095, + "step": 3151 + }, + { + "epoch": 0.2766497253086335, + "grad_norm": 0.06591796875, + "learning_rate": 0.002703050492384404, + "loss": 1.2248, + "step": 3152 + }, + { + "epoch": 0.276737494891536, + "grad_norm": 0.06298828125, + "learning_rate": 0.002702785057712264, + "loss": 1.3222, + "step": 3153 + }, + { + "epoch": 0.2768252644744385, + "grad_norm": 0.0654296875, + "learning_rate": 0.002702519519134404, + "loss": 1.3349, + "step": 3154 + }, + { + "epoch": 0.27691303405734097, + "grad_norm": 0.07666015625, + "learning_rate": 0.0027022538766770334, + "loss": 1.2534, + "step": 3155 + }, + { + "epoch": 0.27700080364024343, + "grad_norm": 0.06787109375, + "learning_rate": 0.002701988130366368, + "loss": 1.2315, + "step": 3156 + }, + { + "epoch": 0.27708857322314595, + "grad_norm": 0.11181640625, + "learning_rate": 0.0027017222802286365, + "loss": 1.2524, + "step": 3157 + }, + { + "epoch": 0.2771763428060484, + "grad_norm": 0.0888671875, + "learning_rate": 0.002701456326290078, + "loss": 1.2928, + "step": 3158 + }, + { + "epoch": 0.27726411238895093, + "grad_norm": 0.0888671875, + "learning_rate": 0.0027011902685769398, + "loss": 1.2641, + "step": 3159 + }, + { + "epoch": 0.2773518819718534, + "grad_norm": 0.10693359375, + "learning_rate": 0.002700924107115482, + "loss": 1.2903, + "step": 3160 + }, + { + "epoch": 0.27743965155475586, + "grad_norm": 0.0751953125, + "learning_rate": 0.0027006578419319725, + "loss": 1.3015, + "step": 3161 + }, + { + "epoch": 0.2775274211376584, + "grad_norm": 0.1455078125, + "learning_rate": 0.0027003914730526915, + "loss": 1.272, + "step": 3162 + }, + { + "epoch": 0.27761519072056084, + "grad_norm": 0.130859375, + "learning_rate": 0.0027001250005039288, + "loss": 1.2366, + "step": 3163 + }, + { + "epoch": 0.2777029603034633, + "grad_norm": 0.09033203125, + "learning_rate": 0.002699858424311983, + "loss": 1.2801, + "step": 3164 + }, + { + "epoch": 0.27779072988636583, + "grad_norm": 0.138671875, + "learning_rate": 0.002699591744503165, + "loss": 1.2869, + "step": 3165 + }, + { + "epoch": 0.2778784994692683, + "grad_norm": 0.0859375, + "learning_rate": 0.0026993249611037954, + "loss": 1.2579, + "step": 3166 + }, + { + "epoch": 0.2779662690521708, + "grad_norm": 0.08203125, + "learning_rate": 0.002699058074140204, + "loss": 1.2847, + "step": 3167 + }, + { + "epoch": 0.2780540386350733, + "grad_norm": 0.0673828125, + "learning_rate": 0.002698791083638731, + "loss": 1.2227, + "step": 3168 + }, + { + "epoch": 0.27814180821797574, + "grad_norm": 0.0830078125, + "learning_rate": 0.0026985239896257277, + "loss": 1.3268, + "step": 3169 + }, + { + "epoch": 0.27822957780087826, + "grad_norm": 0.09130859375, + "learning_rate": 0.002698256792127556, + "loss": 1.2644, + "step": 3170 + }, + { + "epoch": 0.2783173473837807, + "grad_norm": 0.119140625, + "learning_rate": 0.002697989491170587, + "loss": 1.2894, + "step": 3171 + }, + { + "epoch": 0.27840511696668324, + "grad_norm": 0.1806640625, + "learning_rate": 0.002697722086781201, + "loss": 1.2656, + "step": 3172 + }, + { + "epoch": 0.2784928865495857, + "grad_norm": 0.0712890625, + "learning_rate": 0.0026974545789857913, + "loss": 1.2645, + "step": 3173 + }, + { + "epoch": 0.27858065613248817, + "grad_norm": 0.1572265625, + "learning_rate": 0.0026971869678107585, + "loss": 1.2479, + "step": 3174 + }, + { + "epoch": 0.2786684257153907, + "grad_norm": 0.05859375, + "learning_rate": 0.0026969192532825164, + "loss": 1.2105, + "step": 3175 + }, + { + "epoch": 0.27875619529829315, + "grad_norm": 0.1455078125, + "learning_rate": 0.002696651435427486, + "loss": 1.2568, + "step": 3176 + }, + { + "epoch": 0.2788439648811956, + "grad_norm": 0.1484375, + "learning_rate": 0.0026963835142721007, + "loss": 1.2287, + "step": 3177 + }, + { + "epoch": 0.27893173446409814, + "grad_norm": 0.059326171875, + "learning_rate": 0.002696115489842803, + "loss": 1.2107, + "step": 3178 + }, + { + "epoch": 0.2790195040470006, + "grad_norm": 0.13671875, + "learning_rate": 0.0026958473621660445, + "loss": 1.2313, + "step": 3179 + }, + { + "epoch": 0.2791072736299031, + "grad_norm": 0.058349609375, + "learning_rate": 0.0026955791312682905, + "loss": 1.228, + "step": 3180 + }, + { + "epoch": 0.2791950432128056, + "grad_norm": 0.1259765625, + "learning_rate": 0.0026953107971760134, + "loss": 1.2692, + "step": 3181 + }, + { + "epoch": 0.27928281279570805, + "grad_norm": 0.07177734375, + "learning_rate": 0.0026950423599156966, + "loss": 1.3474, + "step": 3182 + }, + { + "epoch": 0.27937058237861057, + "grad_norm": 0.10546875, + "learning_rate": 0.0026947738195138337, + "loss": 1.2893, + "step": 3183 + }, + { + "epoch": 0.27945835196151303, + "grad_norm": 0.08935546875, + "learning_rate": 0.0026945051759969295, + "loss": 1.299, + "step": 3184 + }, + { + "epoch": 0.27954612154441555, + "grad_norm": 0.10595703125, + "learning_rate": 0.0026942364293914963, + "loss": 1.2903, + "step": 3185 + }, + { + "epoch": 0.279633891127318, + "grad_norm": 0.0703125, + "learning_rate": 0.00269396757972406, + "loss": 1.2591, + "step": 3186 + }, + { + "epoch": 0.2797216607102205, + "grad_norm": 0.0693359375, + "learning_rate": 0.002693698627021154, + "loss": 1.2394, + "step": 3187 + }, + { + "epoch": 0.279809430293123, + "grad_norm": 0.10595703125, + "learning_rate": 0.002693429571309324, + "loss": 1.2616, + "step": 3188 + }, + { + "epoch": 0.27989719987602546, + "grad_norm": 0.0693359375, + "learning_rate": 0.002693160412615123, + "loss": 1.2913, + "step": 3189 + }, + { + "epoch": 0.2799849694589279, + "grad_norm": 0.10986328125, + "learning_rate": 0.002692891150965117, + "loss": 1.2628, + "step": 3190 + }, + { + "epoch": 0.28007273904183044, + "grad_norm": 0.058837890625, + "learning_rate": 0.0026926217863858814, + "loss": 1.2134, + "step": 3191 + }, + { + "epoch": 0.2801605086247329, + "grad_norm": 0.1298828125, + "learning_rate": 0.0026923523189040003, + "loss": 1.2175, + "step": 3192 + }, + { + "epoch": 0.2802482782076354, + "grad_norm": 0.06640625, + "learning_rate": 0.0026920827485460703, + "loss": 1.2723, + "step": 3193 + }, + { + "epoch": 0.2803360477905379, + "grad_norm": 0.1845703125, + "learning_rate": 0.0026918130753386957, + "loss": 1.3215, + "step": 3194 + }, + { + "epoch": 0.28042381737344035, + "grad_norm": 0.080078125, + "learning_rate": 0.0026915432993084936, + "loss": 1.1965, + "step": 3195 + }, + { + "epoch": 0.2805115869563429, + "grad_norm": 0.1689453125, + "learning_rate": 0.0026912734204820885, + "loss": 1.2367, + "step": 3196 + }, + { + "epoch": 0.28059935653924534, + "grad_norm": 0.1103515625, + "learning_rate": 0.002691003438886117, + "loss": 1.2584, + "step": 3197 + }, + { + "epoch": 0.28068712612214786, + "grad_norm": 0.08056640625, + "learning_rate": 0.002690733354547225, + "loss": 1.2969, + "step": 3198 + }, + { + "epoch": 0.2807748957050503, + "grad_norm": 0.060302734375, + "learning_rate": 0.0026904631674920694, + "loss": 1.2951, + "step": 3199 + }, + { + "epoch": 0.2808626652879528, + "grad_norm": 0.099609375, + "learning_rate": 0.0026901928777473155, + "loss": 1.2894, + "step": 3200 + }, + { + "epoch": 0.2809504348708553, + "grad_norm": 0.080078125, + "learning_rate": 0.002689922485339641, + "loss": 1.2851, + "step": 3201 + }, + { + "epoch": 0.28103820445375777, + "grad_norm": 0.07275390625, + "learning_rate": 0.002689651990295731, + "loss": 1.3346, + "step": 3202 + }, + { + "epoch": 0.28112597403666023, + "grad_norm": 0.0810546875, + "learning_rate": 0.0026893813926422844, + "loss": 1.3104, + "step": 3203 + }, + { + "epoch": 0.28121374361956275, + "grad_norm": 0.0712890625, + "learning_rate": 0.0026891106924060064, + "loss": 1.2237, + "step": 3204 + }, + { + "epoch": 0.2813015132024652, + "grad_norm": 0.06640625, + "learning_rate": 0.0026888398896136143, + "loss": 1.2676, + "step": 3205 + }, + { + "epoch": 0.28138928278536773, + "grad_norm": 0.0869140625, + "learning_rate": 0.002688568984291836, + "loss": 1.2077, + "step": 3206 + }, + { + "epoch": 0.2814770523682702, + "grad_norm": 0.0927734375, + "learning_rate": 0.0026882979764674083, + "loss": 1.3397, + "step": 3207 + }, + { + "epoch": 0.28156482195117266, + "grad_norm": 0.09130859375, + "learning_rate": 0.0026880268661670786, + "loss": 1.2755, + "step": 3208 + }, + { + "epoch": 0.2816525915340752, + "grad_norm": 0.1044921875, + "learning_rate": 0.0026877556534176043, + "loss": 1.2845, + "step": 3209 + }, + { + "epoch": 0.28174036111697764, + "grad_norm": 0.12158203125, + "learning_rate": 0.0026874843382457534, + "loss": 1.3066, + "step": 3210 + }, + { + "epoch": 0.28182813069988016, + "grad_norm": 0.1083984375, + "learning_rate": 0.0026872129206783036, + "loss": 1.2582, + "step": 3211 + }, + { + "epoch": 0.2819159002827826, + "grad_norm": 0.10302734375, + "learning_rate": 0.0026869414007420424, + "loss": 1.2557, + "step": 3212 + }, + { + "epoch": 0.2820036698656851, + "grad_norm": 0.1494140625, + "learning_rate": 0.002686669778463768, + "loss": 1.3134, + "step": 3213 + }, + { + "epoch": 0.2820914394485876, + "grad_norm": 0.076171875, + "learning_rate": 0.0026863980538702884, + "loss": 1.2484, + "step": 3214 + }, + { + "epoch": 0.2821792090314901, + "grad_norm": 0.06689453125, + "learning_rate": 0.002686126226988421, + "loss": 1.2878, + "step": 3215 + }, + { + "epoch": 0.28226697861439254, + "grad_norm": 0.1181640625, + "learning_rate": 0.0026858542978449957, + "loss": 1.3048, + "step": 3216 + }, + { + "epoch": 0.28235474819729506, + "grad_norm": 0.138671875, + "learning_rate": 0.0026855822664668496, + "loss": 1.2652, + "step": 3217 + }, + { + "epoch": 0.2824425177801975, + "grad_norm": 0.06787109375, + "learning_rate": 0.0026853101328808316, + "loss": 1.2367, + "step": 3218 + }, + { + "epoch": 0.28253028736310004, + "grad_norm": 0.10888671875, + "learning_rate": 0.0026850378971137994, + "loss": 1.2976, + "step": 3219 + }, + { + "epoch": 0.2826180569460025, + "grad_norm": 0.0947265625, + "learning_rate": 0.0026847655591926223, + "loss": 1.2665, + "step": 3220 + }, + { + "epoch": 0.28270582652890497, + "grad_norm": 0.072265625, + "learning_rate": 0.002684493119144179, + "loss": 1.2501, + "step": 3221 + }, + { + "epoch": 0.2827935961118075, + "grad_norm": 0.09814453125, + "learning_rate": 0.0026842205769953584, + "loss": 1.3064, + "step": 3222 + }, + { + "epoch": 0.28288136569470995, + "grad_norm": 0.07666015625, + "learning_rate": 0.0026839479327730588, + "loss": 1.2508, + "step": 3223 + }, + { + "epoch": 0.28296913527761247, + "grad_norm": 0.08349609375, + "learning_rate": 0.0026836751865041896, + "loss": 1.3441, + "step": 3224 + }, + { + "epoch": 0.28305690486051494, + "grad_norm": 0.06298828125, + "learning_rate": 0.002683402338215669, + "loss": 1.2478, + "step": 3225 + }, + { + "epoch": 0.2831446744434174, + "grad_norm": 0.08154296875, + "learning_rate": 0.002683129387934427, + "loss": 1.2065, + "step": 3226 + }, + { + "epoch": 0.2832324440263199, + "grad_norm": 0.0927734375, + "learning_rate": 0.002682856335687402, + "loss": 1.2661, + "step": 3227 + }, + { + "epoch": 0.2833202136092224, + "grad_norm": 0.07666015625, + "learning_rate": 0.002682583181501544, + "loss": 1.2668, + "step": 3228 + }, + { + "epoch": 0.2834079831921249, + "grad_norm": 0.1298828125, + "learning_rate": 0.002682309925403811, + "loss": 1.2687, + "step": 3229 + }, + { + "epoch": 0.28349575277502737, + "grad_norm": 0.08447265625, + "learning_rate": 0.002682036567421174, + "loss": 1.2489, + "step": 3230 + }, + { + "epoch": 0.28358352235792983, + "grad_norm": 0.1220703125, + "learning_rate": 0.002681763107580611, + "loss": 1.2499, + "step": 3231 + }, + { + "epoch": 0.28367129194083235, + "grad_norm": 0.09375, + "learning_rate": 0.002681489545909111, + "loss": 1.2641, + "step": 3232 + }, + { + "epoch": 0.2837590615237348, + "grad_norm": 0.10888671875, + "learning_rate": 0.0026812158824336746, + "loss": 1.3063, + "step": 3233 + }, + { + "epoch": 0.2838468311066373, + "grad_norm": 0.130859375, + "learning_rate": 0.0026809421171813115, + "loss": 1.318, + "step": 3234 + }, + { + "epoch": 0.2839346006895398, + "grad_norm": 0.08349609375, + "learning_rate": 0.0026806682501790404, + "loss": 1.3138, + "step": 3235 + }, + { + "epoch": 0.28402237027244226, + "grad_norm": 0.158203125, + "learning_rate": 0.0026803942814538906, + "loss": 1.3088, + "step": 3236 + }, + { + "epoch": 0.2841101398553448, + "grad_norm": 0.06689453125, + "learning_rate": 0.0026801202110329028, + "loss": 1.2563, + "step": 3237 + }, + { + "epoch": 0.28419790943824724, + "grad_norm": 0.1201171875, + "learning_rate": 0.0026798460389431257, + "loss": 1.2921, + "step": 3238 + }, + { + "epoch": 0.2842856790211497, + "grad_norm": 0.07568359375, + "learning_rate": 0.00267957176521162, + "loss": 1.2426, + "step": 3239 + }, + { + "epoch": 0.2843734486040522, + "grad_norm": 0.08447265625, + "learning_rate": 0.0026792973898654548, + "loss": 1.306, + "step": 3240 + }, + { + "epoch": 0.2844612181869547, + "grad_norm": 0.0751953125, + "learning_rate": 0.00267902291293171, + "loss": 1.2449, + "step": 3241 + }, + { + "epoch": 0.2845489877698572, + "grad_norm": 0.08984375, + "learning_rate": 0.0026787483344374746, + "loss": 1.2781, + "step": 3242 + }, + { + "epoch": 0.2846367573527597, + "grad_norm": 0.0732421875, + "learning_rate": 0.00267847365440985, + "loss": 1.2482, + "step": 3243 + }, + { + "epoch": 0.28472452693566214, + "grad_norm": 0.1259765625, + "learning_rate": 0.002678198872875945, + "loss": 1.3168, + "step": 3244 + }, + { + "epoch": 0.28481229651856466, + "grad_norm": 0.0869140625, + "learning_rate": 0.0026779239898628796, + "loss": 1.2142, + "step": 3245 + }, + { + "epoch": 0.2849000661014671, + "grad_norm": 0.1982421875, + "learning_rate": 0.002677649005397783, + "loss": 1.2748, + "step": 3246 + }, + { + "epoch": 0.2849878356843696, + "grad_norm": 0.07080078125, + "learning_rate": 0.0026773739195077965, + "loss": 1.2776, + "step": 3247 + }, + { + "epoch": 0.2850756052672721, + "grad_norm": 0.12353515625, + "learning_rate": 0.0026770987322200695, + "loss": 1.2221, + "step": 3248 + }, + { + "epoch": 0.28516337485017457, + "grad_norm": 0.07275390625, + "learning_rate": 0.002676823443561761, + "loss": 1.2471, + "step": 3249 + }, + { + "epoch": 0.2852511444330771, + "grad_norm": 0.09375, + "learning_rate": 0.0026765480535600418, + "loss": 1.2988, + "step": 3250 + }, + { + "epoch": 0.28533891401597955, + "grad_norm": 0.0712890625, + "learning_rate": 0.002676272562242092, + "loss": 1.2773, + "step": 3251 + }, + { + "epoch": 0.285426683598882, + "grad_norm": 0.1103515625, + "learning_rate": 0.0026759969696351004, + "loss": 1.2824, + "step": 3252 + }, + { + "epoch": 0.28551445318178453, + "grad_norm": 0.06298828125, + "learning_rate": 0.0026757212757662677, + "loss": 1.2609, + "step": 3253 + }, + { + "epoch": 0.285602222764687, + "grad_norm": 0.068359375, + "learning_rate": 0.002675445480662804, + "loss": 1.2466, + "step": 3254 + }, + { + "epoch": 0.2856899923475895, + "grad_norm": 0.05712890625, + "learning_rate": 0.002675169584351928, + "loss": 1.2627, + "step": 3255 + }, + { + "epoch": 0.285777761930492, + "grad_norm": 0.06396484375, + "learning_rate": 0.0026748935868608713, + "loss": 1.2983, + "step": 3256 + }, + { + "epoch": 0.28586553151339444, + "grad_norm": 0.0986328125, + "learning_rate": 0.002674617488216873, + "loss": 1.2704, + "step": 3257 + }, + { + "epoch": 0.28595330109629696, + "grad_norm": 0.05615234375, + "learning_rate": 0.002674341288447182, + "loss": 1.2435, + "step": 3258 + }, + { + "epoch": 0.2860410706791994, + "grad_norm": 0.10400390625, + "learning_rate": 0.0026740649875790596, + "loss": 1.2771, + "step": 3259 + }, + { + "epoch": 0.2861288402621019, + "grad_norm": 0.06689453125, + "learning_rate": 0.002673788585639775, + "loss": 1.2363, + "step": 3260 + }, + { + "epoch": 0.2862166098450044, + "grad_norm": 0.095703125, + "learning_rate": 0.002673512082656607, + "loss": 1.2083, + "step": 3261 + }, + { + "epoch": 0.2863043794279069, + "grad_norm": 0.08544921875, + "learning_rate": 0.002673235478656847, + "loss": 1.3354, + "step": 3262 + }, + { + "epoch": 0.2863921490108094, + "grad_norm": 0.083984375, + "learning_rate": 0.002672958773667794, + "loss": 1.278, + "step": 3263 + }, + { + "epoch": 0.28647991859371186, + "grad_norm": 0.0654296875, + "learning_rate": 0.002672681967716758, + "loss": 1.2476, + "step": 3264 + }, + { + "epoch": 0.2865676881766143, + "grad_norm": 0.15625, + "learning_rate": 0.0026724050608310573, + "loss": 1.3382, + "step": 3265 + }, + { + "epoch": 0.28665545775951684, + "grad_norm": 0.1259765625, + "learning_rate": 0.0026721280530380234, + "loss": 1.308, + "step": 3266 + }, + { + "epoch": 0.2867432273424193, + "grad_norm": 0.08935546875, + "learning_rate": 0.002671850944364995, + "loss": 1.3281, + "step": 3267 + }, + { + "epoch": 0.2868309969253218, + "grad_norm": 0.05908203125, + "learning_rate": 0.0026715737348393213, + "loss": 1.2219, + "step": 3268 + }, + { + "epoch": 0.2869187665082243, + "grad_norm": 0.07373046875, + "learning_rate": 0.002671296424488362, + "loss": 1.2588, + "step": 3269 + }, + { + "epoch": 0.28700653609112675, + "grad_norm": 0.059326171875, + "learning_rate": 0.0026710190133394872, + "loss": 1.1849, + "step": 3270 + }, + { + "epoch": 0.28709430567402927, + "grad_norm": 0.09716796875, + "learning_rate": 0.0026707415014200755, + "loss": 1.292, + "step": 3271 + }, + { + "epoch": 0.28718207525693173, + "grad_norm": 0.162109375, + "learning_rate": 0.002670463888757517, + "loss": 1.2453, + "step": 3272 + }, + { + "epoch": 0.2872698448398342, + "grad_norm": 0.0595703125, + "learning_rate": 0.002670186175379209, + "loss": 1.2285, + "step": 3273 + }, + { + "epoch": 0.2873576144227367, + "grad_norm": 0.0966796875, + "learning_rate": 0.0026699083613125636, + "loss": 1.2668, + "step": 3274 + }, + { + "epoch": 0.2874453840056392, + "grad_norm": 0.1318359375, + "learning_rate": 0.002669630446584998, + "loss": 1.2596, + "step": 3275 + }, + { + "epoch": 0.2875331535885417, + "grad_norm": 0.1328125, + "learning_rate": 0.002669352431223942, + "loss": 1.272, + "step": 3276 + }, + { + "epoch": 0.28762092317144416, + "grad_norm": 0.07080078125, + "learning_rate": 0.0026690743152568337, + "loss": 1.1951, + "step": 3277 + }, + { + "epoch": 0.28770869275434663, + "grad_norm": 0.0615234375, + "learning_rate": 0.0026687960987111237, + "loss": 1.2812, + "step": 3278 + }, + { + "epoch": 0.28779646233724915, + "grad_norm": 0.1181640625, + "learning_rate": 0.0026685177816142694, + "loss": 1.2518, + "step": 3279 + }, + { + "epoch": 0.2878842319201516, + "grad_norm": 0.060302734375, + "learning_rate": 0.0026682393639937403, + "loss": 1.2975, + "step": 3280 + }, + { + "epoch": 0.28797200150305413, + "grad_norm": 0.14453125, + "learning_rate": 0.0026679608458770147, + "loss": 1.1963, + "step": 3281 + }, + { + "epoch": 0.2880597710859566, + "grad_norm": 0.06494140625, + "learning_rate": 0.0026676822272915816, + "loss": 1.2776, + "step": 3282 + }, + { + "epoch": 0.28814754066885906, + "grad_norm": 0.1796875, + "learning_rate": 0.0026674035082649397, + "loss": 1.206, + "step": 3283 + }, + { + "epoch": 0.2882353102517616, + "grad_norm": 0.09765625, + "learning_rate": 0.0026671246888245966, + "loss": 1.2309, + "step": 3284 + }, + { + "epoch": 0.28832307983466404, + "grad_norm": 0.1572265625, + "learning_rate": 0.002666845768998072, + "loss": 1.2657, + "step": 3285 + }, + { + "epoch": 0.2884108494175665, + "grad_norm": 0.1240234375, + "learning_rate": 0.002666566748812893, + "loss": 1.2762, + "step": 3286 + }, + { + "epoch": 0.288498619000469, + "grad_norm": 0.07861328125, + "learning_rate": 0.0026662876282965986, + "loss": 1.1997, + "step": 3287 + }, + { + "epoch": 0.2885863885833715, + "grad_norm": 0.0751953125, + "learning_rate": 0.0026660084074767365, + "loss": 1.2974, + "step": 3288 + }, + { + "epoch": 0.288674158166274, + "grad_norm": 0.0810546875, + "learning_rate": 0.0026657290863808646, + "loss": 1.2317, + "step": 3289 + }, + { + "epoch": 0.2887619277491765, + "grad_norm": 0.091796875, + "learning_rate": 0.0026654496650365504, + "loss": 1.2428, + "step": 3290 + }, + { + "epoch": 0.28884969733207894, + "grad_norm": 0.07421875, + "learning_rate": 0.002665170143471373, + "loss": 1.2552, + "step": 3291 + }, + { + "epoch": 0.28893746691498146, + "grad_norm": 0.07861328125, + "learning_rate": 0.0026648905217129186, + "loss": 1.2861, + "step": 3292 + }, + { + "epoch": 0.2890252364978839, + "grad_norm": 0.07568359375, + "learning_rate": 0.0026646107997887855, + "loss": 1.2968, + "step": 3293 + }, + { + "epoch": 0.28911300608078644, + "grad_norm": 0.080078125, + "learning_rate": 0.0026643309777265815, + "loss": 1.3059, + "step": 3294 + }, + { + "epoch": 0.2892007756636889, + "grad_norm": 0.076171875, + "learning_rate": 0.002664051055553923, + "loss": 1.3011, + "step": 3295 + }, + { + "epoch": 0.28928854524659137, + "grad_norm": 0.07177734375, + "learning_rate": 0.0026637710332984388, + "loss": 1.2771, + "step": 3296 + }, + { + "epoch": 0.2893763148294939, + "grad_norm": 0.078125, + "learning_rate": 0.0026634909109877637, + "loss": 1.3054, + "step": 3297 + }, + { + "epoch": 0.28946408441239635, + "grad_norm": 0.130859375, + "learning_rate": 0.002663210688649546, + "loss": 1.2648, + "step": 3298 + }, + { + "epoch": 0.28955185399529887, + "grad_norm": 0.0810546875, + "learning_rate": 0.002662930366311443, + "loss": 1.2607, + "step": 3299 + }, + { + "epoch": 0.28963962357820133, + "grad_norm": 0.10205078125, + "learning_rate": 0.0026626499440011203, + "loss": 1.2232, + "step": 3300 + }, + { + "epoch": 0.2897273931611038, + "grad_norm": 0.064453125, + "learning_rate": 0.002662369421746255, + "loss": 1.2023, + "step": 3301 + }, + { + "epoch": 0.2898151627440063, + "grad_norm": 0.1796875, + "learning_rate": 0.002662088799574534, + "loss": 1.2609, + "step": 3302 + }, + { + "epoch": 0.2899029323269088, + "grad_norm": 0.09814453125, + "learning_rate": 0.002661808077513653, + "loss": 1.2576, + "step": 3303 + }, + { + "epoch": 0.28999070190981124, + "grad_norm": 0.1630859375, + "learning_rate": 0.0026615272555913184, + "loss": 1.2719, + "step": 3304 + }, + { + "epoch": 0.29007847149271376, + "grad_norm": 0.1552734375, + "learning_rate": 0.002661246333835246, + "loss": 1.263, + "step": 3305 + }, + { + "epoch": 0.2901662410756162, + "grad_norm": 0.0849609375, + "learning_rate": 0.002660965312273161, + "loss": 1.2305, + "step": 3306 + }, + { + "epoch": 0.29025401065851875, + "grad_norm": 0.10498046875, + "learning_rate": 0.0026606841909328, + "loss": 1.2543, + "step": 3307 + }, + { + "epoch": 0.2903417802414212, + "grad_norm": 0.07373046875, + "learning_rate": 0.0026604029698419087, + "loss": 1.2504, + "step": 3308 + }, + { + "epoch": 0.2904295498243237, + "grad_norm": 0.10693359375, + "learning_rate": 0.0026601216490282427, + "loss": 1.2578, + "step": 3309 + }, + { + "epoch": 0.2905173194072262, + "grad_norm": 0.076171875, + "learning_rate": 0.0026598402285195662, + "loss": 1.2319, + "step": 3310 + }, + { + "epoch": 0.29060508899012866, + "grad_norm": 0.087890625, + "learning_rate": 0.0026595587083436552, + "loss": 1.2379, + "step": 3311 + }, + { + "epoch": 0.2906928585730312, + "grad_norm": 0.0703125, + "learning_rate": 0.0026592770885282943, + "loss": 1.229, + "step": 3312 + }, + { + "epoch": 0.29078062815593364, + "grad_norm": 0.080078125, + "learning_rate": 0.002658995369101278, + "loss": 1.2887, + "step": 3313 + }, + { + "epoch": 0.2908683977388361, + "grad_norm": 0.0810546875, + "learning_rate": 0.0026587135500904116, + "loss": 1.2987, + "step": 3314 + }, + { + "epoch": 0.2909561673217386, + "grad_norm": 0.06201171875, + "learning_rate": 0.002658431631523509, + "loss": 1.2273, + "step": 3315 + }, + { + "epoch": 0.2910439369046411, + "grad_norm": 0.08447265625, + "learning_rate": 0.0026581496134283943, + "loss": 1.2565, + "step": 3316 + }, + { + "epoch": 0.29113170648754355, + "grad_norm": 0.0732421875, + "learning_rate": 0.002657867495832902, + "loss": 1.2901, + "step": 3317 + }, + { + "epoch": 0.29121947607044607, + "grad_norm": 0.06103515625, + "learning_rate": 0.002657585278764876, + "loss": 1.2591, + "step": 3318 + }, + { + "epoch": 0.29130724565334853, + "grad_norm": 0.09912109375, + "learning_rate": 0.002657302962252169, + "loss": 1.2941, + "step": 3319 + }, + { + "epoch": 0.29139501523625105, + "grad_norm": 0.0595703125, + "learning_rate": 0.002657020546322646, + "loss": 1.3409, + "step": 3320 + }, + { + "epoch": 0.2914827848191535, + "grad_norm": 0.150390625, + "learning_rate": 0.0026567380310041793, + "loss": 1.2749, + "step": 3321 + }, + { + "epoch": 0.291570554402056, + "grad_norm": 0.08935546875, + "learning_rate": 0.0026564554163246525, + "loss": 1.2671, + "step": 3322 + }, + { + "epoch": 0.2916583239849585, + "grad_norm": 0.06494140625, + "learning_rate": 0.0026561727023119586, + "loss": 1.2847, + "step": 3323 + }, + { + "epoch": 0.29174609356786096, + "grad_norm": 0.08056640625, + "learning_rate": 0.002655889888994, + "loss": 1.2533, + "step": 3324 + }, + { + "epoch": 0.2918338631507635, + "grad_norm": 0.1064453125, + "learning_rate": 0.00265560697639869, + "loss": 1.3036, + "step": 3325 + }, + { + "epoch": 0.29192163273366595, + "grad_norm": 0.06396484375, + "learning_rate": 0.0026553239645539495, + "loss": 1.2192, + "step": 3326 + }, + { + "epoch": 0.2920094023165684, + "grad_norm": 0.083984375, + "learning_rate": 0.0026550408534877124, + "loss": 1.2501, + "step": 3327 + }, + { + "epoch": 0.29209717189947093, + "grad_norm": 0.076171875, + "learning_rate": 0.0026547576432279195, + "loss": 1.2671, + "step": 3328 + }, + { + "epoch": 0.2921849414823734, + "grad_norm": 0.1376953125, + "learning_rate": 0.002654474333802523, + "loss": 1.2793, + "step": 3329 + }, + { + "epoch": 0.29227271106527586, + "grad_norm": 0.0908203125, + "learning_rate": 0.002654190925239484, + "loss": 1.2288, + "step": 3330 + }, + { + "epoch": 0.2923604806481784, + "grad_norm": 0.07666015625, + "learning_rate": 0.002653907417566774, + "loss": 1.2461, + "step": 3331 + }, + { + "epoch": 0.29244825023108084, + "grad_norm": 0.0830078125, + "learning_rate": 0.002653623810812374, + "loss": 1.2731, + "step": 3332 + }, + { + "epoch": 0.29253601981398336, + "grad_norm": 0.0732421875, + "learning_rate": 0.0026533401050042754, + "loss": 1.2592, + "step": 3333 + }, + { + "epoch": 0.2926237893968858, + "grad_norm": 0.142578125, + "learning_rate": 0.0026530563001704787, + "loss": 1.2732, + "step": 3334 + }, + { + "epoch": 0.2927115589797883, + "grad_norm": 0.12060546875, + "learning_rate": 0.0026527723963389936, + "loss": 1.2814, + "step": 3335 + }, + { + "epoch": 0.2927993285626908, + "grad_norm": 0.08203125, + "learning_rate": 0.002652488393537841, + "loss": 1.2276, + "step": 3336 + }, + { + "epoch": 0.29288709814559327, + "grad_norm": 0.1396484375, + "learning_rate": 0.0026522042917950504, + "loss": 1.2368, + "step": 3337 + }, + { + "epoch": 0.2929748677284958, + "grad_norm": 0.064453125, + "learning_rate": 0.002651920091138662, + "loss": 1.2755, + "step": 3338 + }, + { + "epoch": 0.29306263731139826, + "grad_norm": 0.11376953125, + "learning_rate": 0.0026516357915967246, + "loss": 1.2489, + "step": 3339 + }, + { + "epoch": 0.2931504068943007, + "grad_norm": 0.06298828125, + "learning_rate": 0.002651351393197298, + "loss": 1.2415, + "step": 3340 + }, + { + "epoch": 0.29323817647720324, + "grad_norm": 0.158203125, + "learning_rate": 0.002651066895968451, + "loss": 1.2498, + "step": 3341 + }, + { + "epoch": 0.2933259460601057, + "grad_norm": 0.0712890625, + "learning_rate": 0.002650782299938263, + "loss": 1.2397, + "step": 3342 + }, + { + "epoch": 0.29341371564300817, + "grad_norm": 0.21875, + "learning_rate": 0.002650497605134821, + "loss": 1.2603, + "step": 3343 + }, + { + "epoch": 0.2935014852259107, + "grad_norm": 0.07373046875, + "learning_rate": 0.0026502128115862243, + "loss": 1.3261, + "step": 3344 + }, + { + "epoch": 0.29358925480881315, + "grad_norm": 0.2734375, + "learning_rate": 0.0026499279193205813, + "loss": 1.3283, + "step": 3345 + }, + { + "epoch": 0.29367702439171567, + "grad_norm": 0.07958984375, + "learning_rate": 0.002649642928366009, + "loss": 1.2498, + "step": 3346 + }, + { + "epoch": 0.29376479397461813, + "grad_norm": 0.2333984375, + "learning_rate": 0.0026493578387506342, + "loss": 1.2134, + "step": 3347 + }, + { + "epoch": 0.2938525635575206, + "grad_norm": 0.06298828125, + "learning_rate": 0.002649072650502596, + "loss": 1.2576, + "step": 3348 + }, + { + "epoch": 0.2939403331404231, + "grad_norm": 0.2255859375, + "learning_rate": 0.00264878736365004, + "loss": 1.2196, + "step": 3349 + }, + { + "epoch": 0.2940281027233256, + "grad_norm": 0.11279296875, + "learning_rate": 0.002648501978221123, + "loss": 1.2563, + "step": 3350 + }, + { + "epoch": 0.2941158723062281, + "grad_norm": 0.21484375, + "learning_rate": 0.002648216494244012, + "loss": 1.3172, + "step": 3351 + }, + { + "epoch": 0.29420364188913056, + "grad_norm": 0.1328125, + "learning_rate": 0.0026479309117468826, + "loss": 1.2335, + "step": 3352 + }, + { + "epoch": 0.294291411472033, + "grad_norm": 0.146484375, + "learning_rate": 0.0026476452307579207, + "loss": 1.3113, + "step": 3353 + }, + { + "epoch": 0.29437918105493555, + "grad_norm": 0.09375, + "learning_rate": 0.0026473594513053223, + "loss": 1.2783, + "step": 3354 + }, + { + "epoch": 0.294466950637838, + "grad_norm": 0.06787109375, + "learning_rate": 0.0026470735734172926, + "loss": 1.2683, + "step": 3355 + }, + { + "epoch": 0.2945547202207405, + "grad_norm": 0.07666015625, + "learning_rate": 0.0026467875971220452, + "loss": 1.2716, + "step": 3356 + }, + { + "epoch": 0.294642489803643, + "grad_norm": 0.11181640625, + "learning_rate": 0.002646501522447807, + "loss": 1.3174, + "step": 3357 + }, + { + "epoch": 0.29473025938654546, + "grad_norm": 0.0732421875, + "learning_rate": 0.0026462153494228114, + "loss": 1.21, + "step": 3358 + }, + { + "epoch": 0.294818028969448, + "grad_norm": 0.11572265625, + "learning_rate": 0.002645929078075303, + "loss": 1.2611, + "step": 3359 + }, + { + "epoch": 0.29490579855235044, + "grad_norm": 0.09619140625, + "learning_rate": 0.0026456427084335346, + "loss": 1.2069, + "step": 3360 + }, + { + "epoch": 0.2949935681352529, + "grad_norm": 0.1328125, + "learning_rate": 0.002645356240525771, + "loss": 1.3464, + "step": 3361 + }, + { + "epoch": 0.2950813377181554, + "grad_norm": 0.10595703125, + "learning_rate": 0.0026450696743802846, + "loss": 1.2969, + "step": 3362 + }, + { + "epoch": 0.2951691073010579, + "grad_norm": 0.091796875, + "learning_rate": 0.0026447830100253585, + "loss": 1.2954, + "step": 3363 + }, + { + "epoch": 0.2952568768839604, + "grad_norm": 0.08642578125, + "learning_rate": 0.0026444962474892857, + "loss": 1.301, + "step": 3364 + }, + { + "epoch": 0.29534464646686287, + "grad_norm": 0.0771484375, + "learning_rate": 0.0026442093868003684, + "loss": 1.2894, + "step": 3365 + }, + { + "epoch": 0.29543241604976533, + "grad_norm": 0.142578125, + "learning_rate": 0.0026439224279869184, + "loss": 1.313, + "step": 3366 + }, + { + "epoch": 0.29552018563266785, + "grad_norm": 0.06689453125, + "learning_rate": 0.002643635371077257, + "loss": 1.2582, + "step": 3367 + }, + { + "epoch": 0.2956079552155703, + "grad_norm": 0.13671875, + "learning_rate": 0.002643348216099717, + "loss": 1.2957, + "step": 3368 + }, + { + "epoch": 0.29569572479847284, + "grad_norm": 0.083984375, + "learning_rate": 0.002643060963082638, + "loss": 1.2871, + "step": 3369 + }, + { + "epoch": 0.2957834943813753, + "grad_norm": 0.1044921875, + "learning_rate": 0.0026427736120543718, + "loss": 1.307, + "step": 3370 + }, + { + "epoch": 0.29587126396427776, + "grad_norm": 0.0986328125, + "learning_rate": 0.0026424861630432775, + "loss": 1.2383, + "step": 3371 + }, + { + "epoch": 0.2959590335471803, + "grad_norm": 0.12890625, + "learning_rate": 0.0026421986160777263, + "loss": 1.244, + "step": 3372 + }, + { + "epoch": 0.29604680313008275, + "grad_norm": 0.07763671875, + "learning_rate": 0.0026419109711860976, + "loss": 1.2831, + "step": 3373 + }, + { + "epoch": 0.2961345727129852, + "grad_norm": 0.11083984375, + "learning_rate": 0.002641623228396781, + "loss": 1.2764, + "step": 3374 + }, + { + "epoch": 0.29622234229588773, + "grad_norm": 0.0693359375, + "learning_rate": 0.002641335387738175, + "loss": 1.2788, + "step": 3375 + }, + { + "epoch": 0.2963101118787902, + "grad_norm": 0.07763671875, + "learning_rate": 0.0026410474492386893, + "loss": 1.2458, + "step": 3376 + }, + { + "epoch": 0.2963978814616927, + "grad_norm": 0.095703125, + "learning_rate": 0.002640759412926742, + "loss": 1.2588, + "step": 3377 + }, + { + "epoch": 0.2964856510445952, + "grad_norm": 0.12890625, + "learning_rate": 0.0026404712788307603, + "loss": 1.2749, + "step": 3378 + }, + { + "epoch": 0.29657342062749764, + "grad_norm": 0.193359375, + "learning_rate": 0.0026401830469791826, + "loss": 1.3258, + "step": 3379 + }, + { + "epoch": 0.29666119021040016, + "grad_norm": 0.07373046875, + "learning_rate": 0.002639894717400456, + "loss": 1.2941, + "step": 3380 + }, + { + "epoch": 0.2967489597933026, + "grad_norm": 0.119140625, + "learning_rate": 0.002639606290123038, + "loss": 1.2627, + "step": 3381 + }, + { + "epoch": 0.29683672937620514, + "grad_norm": 0.060546875, + "learning_rate": 0.0026393177651753944, + "loss": 1.2329, + "step": 3382 + }, + { + "epoch": 0.2969244989591076, + "grad_norm": 0.07421875, + "learning_rate": 0.002639029142586002, + "loss": 1.2544, + "step": 3383 + }, + { + "epoch": 0.29701226854201007, + "grad_norm": 0.0654296875, + "learning_rate": 0.002638740422383347, + "loss": 1.2586, + "step": 3384 + }, + { + "epoch": 0.2971000381249126, + "grad_norm": 0.06884765625, + "learning_rate": 0.002638451604595924, + "loss": 1.2558, + "step": 3385 + }, + { + "epoch": 0.29718780770781505, + "grad_norm": 0.1259765625, + "learning_rate": 0.002638162689252239, + "loss": 1.2762, + "step": 3386 + }, + { + "epoch": 0.2972755772907175, + "grad_norm": 0.06396484375, + "learning_rate": 0.0026378736763808066, + "loss": 1.2893, + "step": 3387 + }, + { + "epoch": 0.29736334687362004, + "grad_norm": 0.1181640625, + "learning_rate": 0.002637584566010151, + "loss": 1.2352, + "step": 3388 + }, + { + "epoch": 0.2974511164565225, + "grad_norm": 0.0693359375, + "learning_rate": 0.0026372953581688062, + "loss": 1.25, + "step": 3389 + }, + { + "epoch": 0.297538886039425, + "grad_norm": 0.12451171875, + "learning_rate": 0.0026370060528853167, + "loss": 1.2761, + "step": 3390 + }, + { + "epoch": 0.2976266556223275, + "grad_norm": 0.1064453125, + "learning_rate": 0.0026367166501882347, + "loss": 1.3038, + "step": 3391 + }, + { + "epoch": 0.29771442520522995, + "grad_norm": 0.10888671875, + "learning_rate": 0.002636427150106124, + "loss": 1.2012, + "step": 3392 + }, + { + "epoch": 0.29780219478813247, + "grad_norm": 0.1240234375, + "learning_rate": 0.002636137552667556, + "loss": 1.2477, + "step": 3393 + }, + { + "epoch": 0.29788996437103493, + "grad_norm": 0.07470703125, + "learning_rate": 0.002635847857901114, + "loss": 1.2499, + "step": 3394 + }, + { + "epoch": 0.29797773395393745, + "grad_norm": 0.068359375, + "learning_rate": 0.0026355580658353893, + "loss": 1.2579, + "step": 3395 + }, + { + "epoch": 0.2980655035368399, + "grad_norm": 0.15234375, + "learning_rate": 0.002635268176498983, + "loss": 1.2835, + "step": 3396 + }, + { + "epoch": 0.2981532731197424, + "grad_norm": 0.138671875, + "learning_rate": 0.002634978189920506, + "loss": 1.3178, + "step": 3397 + }, + { + "epoch": 0.2982410427026449, + "grad_norm": 0.07080078125, + "learning_rate": 0.002634688106128579, + "loss": 1.2855, + "step": 3398 + }, + { + "epoch": 0.29832881228554736, + "grad_norm": 0.06494140625, + "learning_rate": 0.0026343979251518324, + "loss": 1.2734, + "step": 3399 + }, + { + "epoch": 0.2984165818684498, + "grad_norm": 0.07861328125, + "learning_rate": 0.0026341076470189056, + "loss": 1.2831, + "step": 3400 + }, + { + "epoch": 0.29850435145135235, + "grad_norm": 0.1513671875, + "learning_rate": 0.002633817271758448, + "loss": 1.271, + "step": 3401 + }, + { + "epoch": 0.2985921210342548, + "grad_norm": 0.07373046875, + "learning_rate": 0.0026335267993991183, + "loss": 1.209, + "step": 3402 + }, + { + "epoch": 0.29867989061715733, + "grad_norm": 0.1123046875, + "learning_rate": 0.002633236229969585, + "loss": 1.2606, + "step": 3403 + }, + { + "epoch": 0.2987676602000598, + "grad_norm": 0.06591796875, + "learning_rate": 0.0026329455634985267, + "loss": 1.3079, + "step": 3404 + }, + { + "epoch": 0.29885542978296226, + "grad_norm": 0.0830078125, + "learning_rate": 0.0026326548000146304, + "loss": 1.2775, + "step": 3405 + }, + { + "epoch": 0.2989431993658648, + "grad_norm": 0.062255859375, + "learning_rate": 0.0026323639395465933, + "loss": 1.2821, + "step": 3406 + }, + { + "epoch": 0.29903096894876724, + "grad_norm": 0.06591796875, + "learning_rate": 0.0026320729821231225, + "loss": 1.2218, + "step": 3407 + }, + { + "epoch": 0.29911873853166976, + "grad_norm": 0.07373046875, + "learning_rate": 0.0026317819277729346, + "loss": 1.2085, + "step": 3408 + }, + { + "epoch": 0.2992065081145722, + "grad_norm": 0.076171875, + "learning_rate": 0.002631490776524755, + "loss": 1.1999, + "step": 3409 + }, + { + "epoch": 0.2992942776974747, + "grad_norm": 0.076171875, + "learning_rate": 0.0026311995284073186, + "loss": 1.2382, + "step": 3410 + }, + { + "epoch": 0.2993820472803772, + "grad_norm": 0.0703125, + "learning_rate": 0.002630908183449372, + "loss": 1.2776, + "step": 3411 + }, + { + "epoch": 0.29946981686327967, + "grad_norm": 0.07177734375, + "learning_rate": 0.0026306167416796683, + "loss": 1.2725, + "step": 3412 + }, + { + "epoch": 0.29955758644618213, + "grad_norm": 0.08935546875, + "learning_rate": 0.002630325203126973, + "loss": 1.2999, + "step": 3413 + }, + { + "epoch": 0.29964535602908465, + "grad_norm": 0.078125, + "learning_rate": 0.0026300335678200587, + "loss": 1.2479, + "step": 3414 + }, + { + "epoch": 0.2997331256119871, + "grad_norm": 0.07666015625, + "learning_rate": 0.002629741835787709, + "loss": 1.2683, + "step": 3415 + }, + { + "epoch": 0.29982089519488964, + "grad_norm": 0.08740234375, + "learning_rate": 0.0026294500070587166, + "loss": 1.2631, + "step": 3416 + }, + { + "epoch": 0.2999086647777921, + "grad_norm": 0.0615234375, + "learning_rate": 0.002629158081661885, + "loss": 1.2528, + "step": 3417 + }, + { + "epoch": 0.29999643436069456, + "grad_norm": 0.0712890625, + "learning_rate": 0.002628866059626024, + "loss": 1.2879, + "step": 3418 + }, + { + "epoch": 0.3000842039435971, + "grad_norm": 0.06689453125, + "learning_rate": 0.0026285739409799566, + "loss": 1.2246, + "step": 3419 + }, + { + "epoch": 0.30017197352649955, + "grad_norm": 0.0654296875, + "learning_rate": 0.0026282817257525133, + "loss": 1.3056, + "step": 3420 + }, + { + "epoch": 0.30025974310940207, + "grad_norm": 0.06201171875, + "learning_rate": 0.0026279894139725336, + "loss": 1.2958, + "step": 3421 + }, + { + "epoch": 0.30034751269230453, + "grad_norm": 0.05810546875, + "learning_rate": 0.00262769700566887, + "loss": 1.2394, + "step": 3422 + }, + { + "epoch": 0.300435282275207, + "grad_norm": 0.057373046875, + "learning_rate": 0.0026274045008703793, + "loss": 1.2265, + "step": 3423 + }, + { + "epoch": 0.3005230518581095, + "grad_norm": 0.06787109375, + "learning_rate": 0.002627111899605932, + "loss": 1.2423, + "step": 3424 + }, + { + "epoch": 0.300610821441012, + "grad_norm": 0.058837890625, + "learning_rate": 0.0026268192019044062, + "loss": 1.2272, + "step": 3425 + }, + { + "epoch": 0.30069859102391444, + "grad_norm": 0.07861328125, + "learning_rate": 0.0026265264077946914, + "loss": 1.2883, + "step": 3426 + }, + { + "epoch": 0.30078636060681696, + "grad_norm": 0.09228515625, + "learning_rate": 0.0026262335173056826, + "loss": 1.2927, + "step": 3427 + }, + { + "epoch": 0.3008741301897194, + "grad_norm": 0.08740234375, + "learning_rate": 0.0026259405304662896, + "loss": 1.2348, + "step": 3428 + }, + { + "epoch": 0.30096189977262194, + "grad_norm": 0.07763671875, + "learning_rate": 0.002625647447305427, + "loss": 1.3007, + "step": 3429 + }, + { + "epoch": 0.3010496693555244, + "grad_norm": 0.08935546875, + "learning_rate": 0.002625354267852022, + "loss": 1.2587, + "step": 3430 + }, + { + "epoch": 0.30113743893842687, + "grad_norm": 0.10791015625, + "learning_rate": 0.0026250609921350107, + "loss": 1.2667, + "step": 3431 + }, + { + "epoch": 0.3012252085213294, + "grad_norm": 0.0869140625, + "learning_rate": 0.002624767620183337, + "loss": 1.2568, + "step": 3432 + }, + { + "epoch": 0.30131297810423185, + "grad_norm": 0.06396484375, + "learning_rate": 0.0026244741520259564, + "loss": 1.2506, + "step": 3433 + }, + { + "epoch": 0.3014007476871344, + "grad_norm": 0.0634765625, + "learning_rate": 0.0026241805876918325, + "loss": 1.2402, + "step": 3434 + }, + { + "epoch": 0.30148851727003684, + "grad_norm": 0.060302734375, + "learning_rate": 0.0026238869272099392, + "loss": 1.2475, + "step": 3435 + }, + { + "epoch": 0.3015762868529393, + "grad_norm": 0.06396484375, + "learning_rate": 0.00262359317060926, + "loss": 1.2976, + "step": 3436 + }, + { + "epoch": 0.3016640564358418, + "grad_norm": 0.059326171875, + "learning_rate": 0.002623299317918787, + "loss": 1.2157, + "step": 3437 + }, + { + "epoch": 0.3017518260187443, + "grad_norm": 0.060791015625, + "learning_rate": 0.0026230053691675224, + "loss": 1.2716, + "step": 3438 + }, + { + "epoch": 0.3018395956016468, + "grad_norm": 0.06689453125, + "learning_rate": 0.002622711324384478, + "loss": 1.2368, + "step": 3439 + }, + { + "epoch": 0.30192736518454927, + "grad_norm": 0.072265625, + "learning_rate": 0.002622417183598674, + "loss": 1.2473, + "step": 3440 + }, + { + "epoch": 0.30201513476745173, + "grad_norm": 0.05859375, + "learning_rate": 0.0026221229468391424, + "loss": 1.2557, + "step": 3441 + }, + { + "epoch": 0.30210290435035425, + "grad_norm": 0.07763671875, + "learning_rate": 0.0026218286141349227, + "loss": 1.2355, + "step": 3442 + }, + { + "epoch": 0.3021906739332567, + "grad_norm": 0.06396484375, + "learning_rate": 0.0026215341855150634, + "loss": 1.308, + "step": 3443 + }, + { + "epoch": 0.3022784435161592, + "grad_norm": 0.064453125, + "learning_rate": 0.0026212396610086246, + "loss": 1.2519, + "step": 3444 + }, + { + "epoch": 0.3023662130990617, + "grad_norm": 0.08251953125, + "learning_rate": 0.0026209450406446742, + "loss": 1.223, + "step": 3445 + }, + { + "epoch": 0.30245398268196416, + "grad_norm": 0.07470703125, + "learning_rate": 0.00262065032445229, + "loss": 1.2368, + "step": 3446 + }, + { + "epoch": 0.3025417522648667, + "grad_norm": 0.08935546875, + "learning_rate": 0.0026203555124605597, + "loss": 1.2802, + "step": 3447 + }, + { + "epoch": 0.30262952184776915, + "grad_norm": 0.09619140625, + "learning_rate": 0.0026200606046985794, + "loss": 1.2761, + "step": 3448 + }, + { + "epoch": 0.3027172914306716, + "grad_norm": 0.15625, + "learning_rate": 0.0026197656011954563, + "loss": 1.2377, + "step": 3449 + }, + { + "epoch": 0.30280506101357413, + "grad_norm": 0.10595703125, + "learning_rate": 0.0026194705019803046, + "loss": 1.2664, + "step": 3450 + }, + { + "epoch": 0.3028928305964766, + "grad_norm": 0.0830078125, + "learning_rate": 0.002619175307082251, + "loss": 1.28, + "step": 3451 + }, + { + "epoch": 0.3029806001793791, + "grad_norm": 0.10009765625, + "learning_rate": 0.0026188800165304294, + "loss": 1.2825, + "step": 3452 + }, + { + "epoch": 0.3030683697622816, + "grad_norm": 0.080078125, + "learning_rate": 0.002618584630353984, + "loss": 1.2874, + "step": 3453 + }, + { + "epoch": 0.30315613934518404, + "grad_norm": 0.1025390625, + "learning_rate": 0.002618289148582068, + "loss": 1.2591, + "step": 3454 + }, + { + "epoch": 0.30324390892808656, + "grad_norm": 0.0791015625, + "learning_rate": 0.002617993571243844, + "loss": 1.2472, + "step": 3455 + }, + { + "epoch": 0.303331678510989, + "grad_norm": 0.09228515625, + "learning_rate": 0.0026176978983684855, + "loss": 1.2675, + "step": 3456 + }, + { + "epoch": 0.3034194480938915, + "grad_norm": 0.06787109375, + "learning_rate": 0.002617402129985173, + "loss": 1.2374, + "step": 3457 + }, + { + "epoch": 0.303507217676794, + "grad_norm": 0.0771484375, + "learning_rate": 0.0026171062661230976, + "loss": 1.2856, + "step": 3458 + }, + { + "epoch": 0.30359498725969647, + "grad_norm": 0.07373046875, + "learning_rate": 0.002616810306811461, + "loss": 1.3043, + "step": 3459 + }, + { + "epoch": 0.303682756842599, + "grad_norm": 0.07373046875, + "learning_rate": 0.002616514252079472, + "loss": 1.2512, + "step": 3460 + }, + { + "epoch": 0.30377052642550145, + "grad_norm": 0.140625, + "learning_rate": 0.002616218101956351, + "loss": 1.3342, + "step": 3461 + }, + { + "epoch": 0.3038582960084039, + "grad_norm": 0.0703125, + "learning_rate": 0.0026159218564713264, + "loss": 1.239, + "step": 3462 + }, + { + "epoch": 0.30394606559130644, + "grad_norm": 0.12060546875, + "learning_rate": 0.002615625515653637, + "loss": 1.2244, + "step": 3463 + }, + { + "epoch": 0.3040338351742089, + "grad_norm": 0.0693359375, + "learning_rate": 0.002615329079532529, + "loss": 1.2765, + "step": 3464 + }, + { + "epoch": 0.3041216047571114, + "grad_norm": 0.10693359375, + "learning_rate": 0.0026150325481372615, + "loss": 1.2157, + "step": 3465 + }, + { + "epoch": 0.3042093743400139, + "grad_norm": 0.0791015625, + "learning_rate": 0.002614735921497099, + "loss": 1.3023, + "step": 3466 + }, + { + "epoch": 0.30429714392291635, + "grad_norm": 0.064453125, + "learning_rate": 0.0026144391996413188, + "loss": 1.2464, + "step": 3467 + }, + { + "epoch": 0.30438491350581887, + "grad_norm": 0.083984375, + "learning_rate": 0.0026141423825992056, + "loss": 1.2427, + "step": 3468 + }, + { + "epoch": 0.30447268308872133, + "grad_norm": 0.056396484375, + "learning_rate": 0.002613845470400054, + "loss": 1.2725, + "step": 3469 + }, + { + "epoch": 0.3045604526716238, + "grad_norm": 0.126953125, + "learning_rate": 0.002613548463073169, + "loss": 1.2515, + "step": 3470 + }, + { + "epoch": 0.3046482222545263, + "grad_norm": 0.095703125, + "learning_rate": 0.0026132513606478623, + "loss": 1.2545, + "step": 3471 + }, + { + "epoch": 0.3047359918374288, + "grad_norm": 0.0810546875, + "learning_rate": 0.002612954163153458, + "loss": 1.2926, + "step": 3472 + }, + { + "epoch": 0.3048237614203313, + "grad_norm": 0.0791015625, + "learning_rate": 0.002612656870619288, + "loss": 1.1954, + "step": 3473 + }, + { + "epoch": 0.30491153100323376, + "grad_norm": 0.07421875, + "learning_rate": 0.0026123594830746943, + "loss": 1.2229, + "step": 3474 + }, + { + "epoch": 0.3049993005861362, + "grad_norm": 0.10546875, + "learning_rate": 0.0026120620005490275, + "loss": 1.2445, + "step": 3475 + }, + { + "epoch": 0.30508707016903874, + "grad_norm": 0.06103515625, + "learning_rate": 0.0026117644230716475, + "loss": 1.2419, + "step": 3476 + }, + { + "epoch": 0.3051748397519412, + "grad_norm": 0.1298828125, + "learning_rate": 0.0026114667506719246, + "loss": 1.3121, + "step": 3477 + }, + { + "epoch": 0.3052626093348437, + "grad_norm": 0.06396484375, + "learning_rate": 0.0026111689833792375, + "loss": 1.2266, + "step": 3478 + }, + { + "epoch": 0.3053503789177462, + "grad_norm": 0.0810546875, + "learning_rate": 0.002610871121222975, + "loss": 1.2657, + "step": 3479 + }, + { + "epoch": 0.30543814850064865, + "grad_norm": 0.06689453125, + "learning_rate": 0.0026105731642325353, + "loss": 1.2014, + "step": 3480 + }, + { + "epoch": 0.3055259180835512, + "grad_norm": 0.1083984375, + "learning_rate": 0.002610275112437325, + "loss": 1.2845, + "step": 3481 + }, + { + "epoch": 0.30561368766645364, + "grad_norm": 0.1640625, + "learning_rate": 0.0026099769658667602, + "loss": 1.2589, + "step": 3482 + }, + { + "epoch": 0.3057014572493561, + "grad_norm": 0.07763671875, + "learning_rate": 0.0026096787245502673, + "loss": 1.3053, + "step": 3483 + }, + { + "epoch": 0.3057892268322586, + "grad_norm": 0.2158203125, + "learning_rate": 0.002609380388517282, + "loss": 1.2686, + "step": 3484 + }, + { + "epoch": 0.3058769964151611, + "grad_norm": 0.07958984375, + "learning_rate": 0.0026090819577972483, + "loss": 1.297, + "step": 3485 + }, + { + "epoch": 0.3059647659980636, + "grad_norm": 0.28515625, + "learning_rate": 0.0026087834324196204, + "loss": 1.2643, + "step": 3486 + }, + { + "epoch": 0.30605253558096607, + "grad_norm": 0.154296875, + "learning_rate": 0.002608484812413861, + "loss": 1.2466, + "step": 3487 + }, + { + "epoch": 0.30614030516386853, + "grad_norm": 0.1748046875, + "learning_rate": 0.0026081860978094435, + "loss": 1.2822, + "step": 3488 + }, + { + "epoch": 0.30622807474677105, + "grad_norm": 0.1455078125, + "learning_rate": 0.002607887288635849, + "loss": 1.2487, + "step": 3489 + }, + { + "epoch": 0.3063158443296735, + "grad_norm": 0.09423828125, + "learning_rate": 0.0026075883849225696, + "loss": 1.3226, + "step": 3490 + }, + { + "epoch": 0.30640361391257603, + "grad_norm": 0.07373046875, + "learning_rate": 0.002607289386699106, + "loss": 1.2883, + "step": 3491 + }, + { + "epoch": 0.3064913834954785, + "grad_norm": 0.08154296875, + "learning_rate": 0.002606990293994967, + "loss": 1.307, + "step": 3492 + }, + { + "epoch": 0.30657915307838096, + "grad_norm": 0.11474609375, + "learning_rate": 0.0026066911068396733, + "loss": 1.2099, + "step": 3493 + }, + { + "epoch": 0.3066669226612835, + "grad_norm": 0.08154296875, + "learning_rate": 0.0026063918252627522, + "loss": 1.2483, + "step": 3494 + }, + { + "epoch": 0.30675469224418594, + "grad_norm": 0.09375, + "learning_rate": 0.0026060924492937424, + "loss": 1.2298, + "step": 3495 + }, + { + "epoch": 0.3068424618270884, + "grad_norm": 0.08056640625, + "learning_rate": 0.0026057929789621913, + "loss": 1.3231, + "step": 3496 + }, + { + "epoch": 0.30693023140999093, + "grad_norm": 0.10107421875, + "learning_rate": 0.0026054934142976547, + "loss": 1.2646, + "step": 3497 + }, + { + "epoch": 0.3070180009928934, + "grad_norm": 0.06982421875, + "learning_rate": 0.002605193755329699, + "loss": 1.2266, + "step": 3498 + }, + { + "epoch": 0.3071057705757959, + "grad_norm": 0.07666015625, + "learning_rate": 0.002604894002087899, + "loss": 1.2036, + "step": 3499 + }, + { + "epoch": 0.3071935401586984, + "grad_norm": 0.07080078125, + "learning_rate": 0.002604594154601839, + "loss": 1.254, + "step": 3500 + }, + { + "epoch": 0.3071935401586984, + "eval_loss": 1.246621012687683, + "eval_runtime": 437.6804, + "eval_samples_per_second": 33.678, + "eval_steps_per_second": 8.419, + "step": 3500 + }, + { + "epoch": 0.30728130974160084, + "grad_norm": 0.1171875, + "learning_rate": 0.0026042942129011135, + "loss": 1.1991, + "step": 3501 + }, + { + "epoch": 0.30736907932450336, + "grad_norm": 0.06494140625, + "learning_rate": 0.0026039941770153252, + "loss": 1.2096, + "step": 3502 + }, + { + "epoch": 0.3074568489074058, + "grad_norm": 0.08251953125, + "learning_rate": 0.0026036940469740862, + "loss": 1.2317, + "step": 3503 + }, + { + "epoch": 0.30754461849030834, + "grad_norm": 0.11376953125, + "learning_rate": 0.002603393822807018, + "loss": 1.2436, + "step": 3504 + }, + { + "epoch": 0.3076323880732108, + "grad_norm": 0.0751953125, + "learning_rate": 0.0026030935045437526, + "loss": 1.2749, + "step": 3505 + }, + { + "epoch": 0.30772015765611327, + "grad_norm": 0.142578125, + "learning_rate": 0.002602793092213929, + "loss": 1.2819, + "step": 3506 + }, + { + "epoch": 0.3078079272390158, + "grad_norm": 0.07080078125, + "learning_rate": 0.0026024925858471977, + "loss": 1.2134, + "step": 3507 + }, + { + "epoch": 0.30789569682191825, + "grad_norm": 0.1123046875, + "learning_rate": 0.0026021919854732163, + "loss": 1.2651, + "step": 3508 + }, + { + "epoch": 0.30798346640482077, + "grad_norm": 0.09326171875, + "learning_rate": 0.002601891291121654, + "loss": 1.2901, + "step": 3509 + }, + { + "epoch": 0.30807123598772324, + "grad_norm": 0.05908203125, + "learning_rate": 0.002601590502822188, + "loss": 1.2187, + "step": 3510 + }, + { + "epoch": 0.3081590055706257, + "grad_norm": 0.11376953125, + "learning_rate": 0.002601289620604504, + "loss": 1.2439, + "step": 3511 + }, + { + "epoch": 0.3082467751535282, + "grad_norm": 0.08203125, + "learning_rate": 0.002600988644498299, + "loss": 1.2828, + "step": 3512 + }, + { + "epoch": 0.3083345447364307, + "grad_norm": 0.1376953125, + "learning_rate": 0.0026006875745332777, + "loss": 1.2665, + "step": 3513 + }, + { + "epoch": 0.30842231431933315, + "grad_norm": 0.12890625, + "learning_rate": 0.002600386410739154, + "loss": 1.2554, + "step": 3514 + }, + { + "epoch": 0.30851008390223567, + "grad_norm": 0.08642578125, + "learning_rate": 0.0026000851531456527, + "loss": 1.2307, + "step": 3515 + }, + { + "epoch": 0.30859785348513813, + "grad_norm": 0.11328125, + "learning_rate": 0.002599783801782505, + "loss": 1.2609, + "step": 3516 + }, + { + "epoch": 0.30868562306804065, + "grad_norm": 0.056884765625, + "learning_rate": 0.002599482356679455, + "loss": 1.2158, + "step": 3517 + }, + { + "epoch": 0.3087733926509431, + "grad_norm": 0.10693359375, + "learning_rate": 0.002599180817866253, + "loss": 1.2437, + "step": 3518 + }, + { + "epoch": 0.3088611622338456, + "grad_norm": 0.07568359375, + "learning_rate": 0.00259887918537266, + "loss": 1.2729, + "step": 3519 + }, + { + "epoch": 0.3089489318167481, + "grad_norm": 0.12060546875, + "learning_rate": 0.002598577459228447, + "loss": 1.2513, + "step": 3520 + }, + { + "epoch": 0.30903670139965056, + "grad_norm": 0.1328125, + "learning_rate": 0.002598275639463391, + "loss": 1.2668, + "step": 3521 + }, + { + "epoch": 0.3091244709825531, + "grad_norm": 0.060302734375, + "learning_rate": 0.002597973726107281, + "loss": 1.2166, + "step": 3522 + }, + { + "epoch": 0.30921224056545554, + "grad_norm": 0.158203125, + "learning_rate": 0.002597671719189916, + "loss": 1.3082, + "step": 3523 + }, + { + "epoch": 0.309300010148358, + "grad_norm": 0.1279296875, + "learning_rate": 0.0025973696187411026, + "loss": 1.2779, + "step": 3524 + }, + { + "epoch": 0.3093877797312605, + "grad_norm": 0.142578125, + "learning_rate": 0.0025970674247906556, + "loss": 1.312, + "step": 3525 + }, + { + "epoch": 0.309475549314163, + "grad_norm": 0.1533203125, + "learning_rate": 0.002596765137368401, + "loss": 1.2172, + "step": 3526 + }, + { + "epoch": 0.30956331889706545, + "grad_norm": 0.07275390625, + "learning_rate": 0.002596462756504174, + "loss": 1.2589, + "step": 3527 + }, + { + "epoch": 0.309651088479968, + "grad_norm": 0.1015625, + "learning_rate": 0.002596160282227817, + "loss": 1.3159, + "step": 3528 + }, + { + "epoch": 0.30973885806287044, + "grad_norm": 0.07958984375, + "learning_rate": 0.002595857714569185, + "loss": 1.27, + "step": 3529 + }, + { + "epoch": 0.30982662764577296, + "grad_norm": 0.1259765625, + "learning_rate": 0.0025955550535581387, + "loss": 1.3142, + "step": 3530 + }, + { + "epoch": 0.3099143972286754, + "grad_norm": 0.0703125, + "learning_rate": 0.0025952522992245502, + "loss": 1.2416, + "step": 3531 + }, + { + "epoch": 0.3100021668115779, + "grad_norm": 0.11328125, + "learning_rate": 0.0025949494515982996, + "loss": 1.2216, + "step": 3532 + }, + { + "epoch": 0.3100899363944804, + "grad_norm": 0.099609375, + "learning_rate": 0.002594646510709277, + "loss": 1.3537, + "step": 3533 + }, + { + "epoch": 0.31017770597738287, + "grad_norm": 0.10986328125, + "learning_rate": 0.0025943434765873822, + "loss": 1.2775, + "step": 3534 + }, + { + "epoch": 0.3102654755602854, + "grad_norm": 0.09033203125, + "learning_rate": 0.0025940403492625223, + "loss": 1.2768, + "step": 3535 + }, + { + "epoch": 0.31035324514318785, + "grad_norm": 0.07421875, + "learning_rate": 0.0025937371287646153, + "loss": 1.2531, + "step": 3536 + }, + { + "epoch": 0.3104410147260903, + "grad_norm": 0.064453125, + "learning_rate": 0.002593433815123588, + "loss": 1.258, + "step": 3537 + }, + { + "epoch": 0.31052878430899283, + "grad_norm": 0.06640625, + "learning_rate": 0.002593130408369376, + "loss": 1.2718, + "step": 3538 + }, + { + "epoch": 0.3106165538918953, + "grad_norm": 0.0673828125, + "learning_rate": 0.002592826908531925, + "loss": 1.243, + "step": 3539 + }, + { + "epoch": 0.31070432347479776, + "grad_norm": 0.06689453125, + "learning_rate": 0.0025925233156411883, + "loss": 1.2287, + "step": 3540 + }, + { + "epoch": 0.3107920930577003, + "grad_norm": 0.140625, + "learning_rate": 0.0025922196297271296, + "loss": 1.2506, + "step": 3541 + }, + { + "epoch": 0.31087986264060274, + "grad_norm": 0.0654296875, + "learning_rate": 0.0025919158508197217, + "loss": 1.3043, + "step": 3542 + }, + { + "epoch": 0.31096763222350526, + "grad_norm": 0.12255859375, + "learning_rate": 0.0025916119789489464, + "loss": 1.2521, + "step": 3543 + }, + { + "epoch": 0.3110554018064077, + "grad_norm": 0.06884765625, + "learning_rate": 0.0025913080141447943, + "loss": 1.275, + "step": 3544 + }, + { + "epoch": 0.3111431713893102, + "grad_norm": 0.095703125, + "learning_rate": 0.0025910039564372663, + "loss": 1.2509, + "step": 3545 + }, + { + "epoch": 0.3112309409722127, + "grad_norm": 0.08642578125, + "learning_rate": 0.002590699805856371, + "loss": 1.2654, + "step": 3546 + }, + { + "epoch": 0.3113187105551152, + "grad_norm": 0.10107421875, + "learning_rate": 0.002590395562432127, + "loss": 1.2131, + "step": 3547 + }, + { + "epoch": 0.3114064801380177, + "grad_norm": 0.11767578125, + "learning_rate": 0.0025900912261945614, + "loss": 1.2613, + "step": 3548 + }, + { + "epoch": 0.31149424972092016, + "grad_norm": 0.1650390625, + "learning_rate": 0.002589786797173712, + "loss": 1.3005, + "step": 3549 + }, + { + "epoch": 0.3115820193038226, + "grad_norm": 0.07275390625, + "learning_rate": 0.0025894822753996243, + "loss": 1.244, + "step": 3550 + }, + { + "epoch": 0.31166978888672514, + "grad_norm": 0.12060546875, + "learning_rate": 0.0025891776609023535, + "loss": 1.2597, + "step": 3551 + }, + { + "epoch": 0.3117575584696276, + "grad_norm": 0.0712890625, + "learning_rate": 0.0025888729537119634, + "loss": 1.2941, + "step": 3552 + }, + { + "epoch": 0.31184532805253007, + "grad_norm": 0.1298828125, + "learning_rate": 0.0025885681538585278, + "loss": 1.2666, + "step": 3553 + }, + { + "epoch": 0.3119330976354326, + "grad_norm": 0.08154296875, + "learning_rate": 0.002588263261372129, + "loss": 1.222, + "step": 3554 + }, + { + "epoch": 0.31202086721833505, + "grad_norm": 0.119140625, + "learning_rate": 0.002587958276282859, + "loss": 1.282, + "step": 3555 + }, + { + "epoch": 0.31210863680123757, + "grad_norm": 0.134765625, + "learning_rate": 0.0025876531986208187, + "loss": 1.2138, + "step": 3556 + }, + { + "epoch": 0.31219640638414003, + "grad_norm": 0.1123046875, + "learning_rate": 0.0025873480284161173, + "loss": 1.2079, + "step": 3557 + }, + { + "epoch": 0.3122841759670425, + "grad_norm": 0.1953125, + "learning_rate": 0.0025870427656988744, + "loss": 1.2885, + "step": 3558 + }, + { + "epoch": 0.312371945549945, + "grad_norm": 0.103515625, + "learning_rate": 0.002586737410499219, + "loss": 1.2305, + "step": 3559 + }, + { + "epoch": 0.3124597151328475, + "grad_norm": 0.1962890625, + "learning_rate": 0.0025864319628472864, + "loss": 1.2768, + "step": 3560 + }, + { + "epoch": 0.31254748471575, + "grad_norm": 0.06591796875, + "learning_rate": 0.0025861264227732255, + "loss": 1.1599, + "step": 3561 + }, + { + "epoch": 0.31263525429865247, + "grad_norm": 0.1982421875, + "learning_rate": 0.0025858207903071903, + "loss": 1.3309, + "step": 3562 + }, + { + "epoch": 0.31272302388155493, + "grad_norm": 0.07568359375, + "learning_rate": 0.002585515065479346, + "loss": 1.227, + "step": 3563 + }, + { + "epoch": 0.31281079346445745, + "grad_norm": 0.1435546875, + "learning_rate": 0.002585209248319866, + "loss": 1.3205, + "step": 3564 + }, + { + "epoch": 0.3128985630473599, + "grad_norm": 0.06640625, + "learning_rate": 0.0025849033388589343, + "loss": 1.2751, + "step": 3565 + }, + { + "epoch": 0.3129863326302624, + "grad_norm": 0.12890625, + "learning_rate": 0.002584597337126742, + "loss": 1.2963, + "step": 3566 + }, + { + "epoch": 0.3130741022131649, + "grad_norm": 0.064453125, + "learning_rate": 0.00258429124315349, + "loss": 1.3122, + "step": 3567 + }, + { + "epoch": 0.31316187179606736, + "grad_norm": 0.10546875, + "learning_rate": 0.0025839850569693897, + "loss": 1.2886, + "step": 3568 + }, + { + "epoch": 0.3132496413789699, + "grad_norm": 0.08056640625, + "learning_rate": 0.0025836787786046598, + "loss": 1.2859, + "step": 3569 + }, + { + "epoch": 0.31333741096187234, + "grad_norm": 0.08056640625, + "learning_rate": 0.0025833724080895288, + "loss": 1.2981, + "step": 3570 + }, + { + "epoch": 0.3134251805447748, + "grad_norm": 0.07080078125, + "learning_rate": 0.002583065945454234, + "loss": 1.224, + "step": 3571 + }, + { + "epoch": 0.3135129501276773, + "grad_norm": 0.07080078125, + "learning_rate": 0.002582759390729023, + "loss": 1.2456, + "step": 3572 + }, + { + "epoch": 0.3136007197105798, + "grad_norm": 0.095703125, + "learning_rate": 0.0025824527439441505, + "loss": 1.2585, + "step": 3573 + }, + { + "epoch": 0.3136884892934823, + "grad_norm": 0.06689453125, + "learning_rate": 0.0025821460051298813, + "loss": 1.2229, + "step": 3574 + }, + { + "epoch": 0.3137762588763848, + "grad_norm": 0.10986328125, + "learning_rate": 0.0025818391743164903, + "loss": 1.2405, + "step": 3575 + }, + { + "epoch": 0.31386402845928724, + "grad_norm": 0.0634765625, + "learning_rate": 0.0025815322515342597, + "loss": 1.1832, + "step": 3576 + }, + { + "epoch": 0.31395179804218976, + "grad_norm": 0.08349609375, + "learning_rate": 0.002581225236813482, + "loss": 1.2483, + "step": 3577 + }, + { + "epoch": 0.3140395676250922, + "grad_norm": 0.07080078125, + "learning_rate": 0.0025809181301844576, + "loss": 1.2632, + "step": 3578 + }, + { + "epoch": 0.31412733720799474, + "grad_norm": 0.07958984375, + "learning_rate": 0.0025806109316774974, + "loss": 1.2861, + "step": 3579 + }, + { + "epoch": 0.3142151067908972, + "grad_norm": 0.10693359375, + "learning_rate": 0.0025803036413229205, + "loss": 1.2116, + "step": 3580 + }, + { + "epoch": 0.31430287637379967, + "grad_norm": 0.06396484375, + "learning_rate": 0.0025799962591510554, + "loss": 1.2423, + "step": 3581 + }, + { + "epoch": 0.3143906459567022, + "grad_norm": 0.150390625, + "learning_rate": 0.0025796887851922395, + "loss": 1.2125, + "step": 3582 + }, + { + "epoch": 0.31447841553960465, + "grad_norm": 0.0791015625, + "learning_rate": 0.0025793812194768186, + "loss": 1.2657, + "step": 3583 + }, + { + "epoch": 0.3145661851225071, + "grad_norm": 0.16015625, + "learning_rate": 0.0025790735620351488, + "loss": 1.2553, + "step": 3584 + }, + { + "epoch": 0.31465395470540963, + "grad_norm": 0.09716796875, + "learning_rate": 0.0025787658128975945, + "loss": 1.2947, + "step": 3585 + }, + { + "epoch": 0.3147417242883121, + "grad_norm": 0.080078125, + "learning_rate": 0.00257845797209453, + "loss": 1.1999, + "step": 3586 + }, + { + "epoch": 0.3148294938712146, + "grad_norm": 0.054931640625, + "learning_rate": 0.0025781500396563368, + "loss": 1.2308, + "step": 3587 + }, + { + "epoch": 0.3149172634541171, + "grad_norm": 0.1357421875, + "learning_rate": 0.002577842015613407, + "loss": 1.2637, + "step": 3588 + }, + { + "epoch": 0.31500503303701954, + "grad_norm": 0.099609375, + "learning_rate": 0.0025775338999961418, + "loss": 1.2466, + "step": 3589 + }, + { + "epoch": 0.31509280261992206, + "grad_norm": 0.0908203125, + "learning_rate": 0.002577225692834951, + "loss": 1.2522, + "step": 3590 + }, + { + "epoch": 0.3151805722028245, + "grad_norm": 0.0771484375, + "learning_rate": 0.0025769173941602532, + "loss": 1.3115, + "step": 3591 + }, + { + "epoch": 0.31526834178572705, + "grad_norm": 0.07177734375, + "learning_rate": 0.002576609004002476, + "loss": 1.2314, + "step": 3592 + }, + { + "epoch": 0.3153561113686295, + "grad_norm": 0.0947265625, + "learning_rate": 0.002576300522392057, + "loss": 1.2635, + "step": 3593 + }, + { + "epoch": 0.315443880951532, + "grad_norm": 0.07080078125, + "learning_rate": 0.0025759919493594406, + "loss": 1.2546, + "step": 3594 + }, + { + "epoch": 0.3155316505344345, + "grad_norm": 0.17578125, + "learning_rate": 0.0025756832849350834, + "loss": 1.2556, + "step": 3595 + }, + { + "epoch": 0.31561942011733696, + "grad_norm": 0.0771484375, + "learning_rate": 0.0025753745291494487, + "loss": 1.2822, + "step": 3596 + }, + { + "epoch": 0.3157071897002394, + "grad_norm": 0.146484375, + "learning_rate": 0.0025750656820330096, + "loss": 1.243, + "step": 3597 + }, + { + "epoch": 0.31579495928314194, + "grad_norm": 0.0712890625, + "learning_rate": 0.002574756743616248, + "loss": 1.2971, + "step": 3598 + }, + { + "epoch": 0.3158827288660444, + "grad_norm": 0.130859375, + "learning_rate": 0.0025744477139296542, + "loss": 1.2585, + "step": 3599 + }, + { + "epoch": 0.3159704984489469, + "grad_norm": 0.07080078125, + "learning_rate": 0.0025741385930037296, + "loss": 1.2598, + "step": 3600 + }, + { + "epoch": 0.3160582680318494, + "grad_norm": 0.1025390625, + "learning_rate": 0.0025738293808689823, + "loss": 1.2685, + "step": 3601 + }, + { + "epoch": 0.31614603761475185, + "grad_norm": 0.06787109375, + "learning_rate": 0.002573520077555931, + "loss": 1.2809, + "step": 3602 + }, + { + "epoch": 0.31623380719765437, + "grad_norm": 0.10302734375, + "learning_rate": 0.0025732106830951016, + "loss": 1.2518, + "step": 3603 + }, + { + "epoch": 0.31632157678055683, + "grad_norm": 0.068359375, + "learning_rate": 0.0025729011975170308, + "loss": 1.2493, + "step": 3604 + }, + { + "epoch": 0.31640934636345935, + "grad_norm": 0.11767578125, + "learning_rate": 0.0025725916208522636, + "loss": 1.2884, + "step": 3605 + }, + { + "epoch": 0.3164971159463618, + "grad_norm": 0.083984375, + "learning_rate": 0.002572281953131354, + "loss": 1.21, + "step": 3606 + }, + { + "epoch": 0.3165848855292643, + "grad_norm": 0.08642578125, + "learning_rate": 0.002571972194384865, + "loss": 1.3251, + "step": 3607 + }, + { + "epoch": 0.3166726551121668, + "grad_norm": 0.0693359375, + "learning_rate": 0.0025716623446433683, + "loss": 1.288, + "step": 3608 + }, + { + "epoch": 0.31676042469506926, + "grad_norm": 0.07763671875, + "learning_rate": 0.002571352403937445, + "loss": 1.2037, + "step": 3609 + }, + { + "epoch": 0.31684819427797173, + "grad_norm": 0.07080078125, + "learning_rate": 0.0025710423722976852, + "loss": 1.2591, + "step": 3610 + }, + { + "epoch": 0.31693596386087425, + "grad_norm": 0.1005859375, + "learning_rate": 0.0025707322497546875, + "loss": 1.2781, + "step": 3611 + }, + { + "epoch": 0.3170237334437767, + "grad_norm": 0.09033203125, + "learning_rate": 0.00257042203633906, + "loss": 1.353, + "step": 3612 + }, + { + "epoch": 0.31711150302667923, + "grad_norm": 0.08349609375, + "learning_rate": 0.0025701117320814193, + "loss": 1.2505, + "step": 3613 + }, + { + "epoch": 0.3171992726095817, + "grad_norm": 0.07373046875, + "learning_rate": 0.0025698013370123915, + "loss": 1.2587, + "step": 3614 + }, + { + "epoch": 0.31728704219248416, + "grad_norm": 0.059326171875, + "learning_rate": 0.002569490851162611, + "loss": 1.2979, + "step": 3615 + }, + { + "epoch": 0.3173748117753867, + "grad_norm": 0.0751953125, + "learning_rate": 0.002569180274562722, + "loss": 1.3164, + "step": 3616 + }, + { + "epoch": 0.31746258135828914, + "grad_norm": 0.0556640625, + "learning_rate": 0.0025688696072433768, + "loss": 1.1939, + "step": 3617 + }, + { + "epoch": 0.31755035094119166, + "grad_norm": 0.07080078125, + "learning_rate": 0.002568558849235237, + "loss": 1.1871, + "step": 3618 + }, + { + "epoch": 0.3176381205240941, + "grad_norm": 0.058837890625, + "learning_rate": 0.002568248000568974, + "loss": 1.2734, + "step": 3619 + }, + { + "epoch": 0.3177258901069966, + "grad_norm": 0.06640625, + "learning_rate": 0.002567937061275266, + "loss": 1.2382, + "step": 3620 + }, + { + "epoch": 0.3178136596898991, + "grad_norm": 0.07080078125, + "learning_rate": 0.0025676260313848022, + "loss": 1.2273, + "step": 3621 + }, + { + "epoch": 0.3179014292728016, + "grad_norm": 0.064453125, + "learning_rate": 0.0025673149109282805, + "loss": 1.2013, + "step": 3622 + }, + { + "epoch": 0.31798919885570404, + "grad_norm": 0.08642578125, + "learning_rate": 0.002567003699936406, + "loss": 1.2256, + "step": 3623 + }, + { + "epoch": 0.31807696843860656, + "grad_norm": 0.06298828125, + "learning_rate": 0.002566692398439895, + "loss": 1.2752, + "step": 3624 + }, + { + "epoch": 0.318164738021509, + "grad_norm": 0.05712890625, + "learning_rate": 0.0025663810064694716, + "loss": 1.2639, + "step": 3625 + }, + { + "epoch": 0.31825250760441154, + "grad_norm": 0.09716796875, + "learning_rate": 0.0025660695240558684, + "loss": 1.192, + "step": 3626 + }, + { + "epoch": 0.318340277187314, + "grad_norm": 0.056396484375, + "learning_rate": 0.0025657579512298285, + "loss": 1.2568, + "step": 3627 + }, + { + "epoch": 0.31842804677021647, + "grad_norm": 0.1171875, + "learning_rate": 0.0025654462880221017, + "loss": 1.2127, + "step": 3628 + }, + { + "epoch": 0.318515816353119, + "grad_norm": 0.06689453125, + "learning_rate": 0.0025651345344634485, + "loss": 1.2482, + "step": 3629 + }, + { + "epoch": 0.31860358593602145, + "grad_norm": 0.087890625, + "learning_rate": 0.002564822690584638, + "loss": 1.2515, + "step": 3630 + }, + { + "epoch": 0.31869135551892397, + "grad_norm": 0.0712890625, + "learning_rate": 0.0025645107564164476, + "loss": 1.2398, + "step": 3631 + }, + { + "epoch": 0.31877912510182643, + "grad_norm": 0.07763671875, + "learning_rate": 0.0025641987319896644, + "loss": 1.2943, + "step": 3632 + }, + { + "epoch": 0.3188668946847289, + "grad_norm": 0.07275390625, + "learning_rate": 0.0025638866173350837, + "loss": 1.2504, + "step": 3633 + }, + { + "epoch": 0.3189546642676314, + "grad_norm": 0.09814453125, + "learning_rate": 0.002563574412483509, + "loss": 1.2551, + "step": 3634 + }, + { + "epoch": 0.3190424338505339, + "grad_norm": 0.078125, + "learning_rate": 0.0025632621174657556, + "loss": 1.21, + "step": 3635 + }, + { + "epoch": 0.31913020343343634, + "grad_norm": 0.1328125, + "learning_rate": 0.0025629497323126447, + "loss": 1.2433, + "step": 3636 + }, + { + "epoch": 0.31921797301633886, + "grad_norm": 0.07958984375, + "learning_rate": 0.0025626372570550075, + "loss": 1.2733, + "step": 3637 + }, + { + "epoch": 0.3193057425992413, + "grad_norm": 0.109375, + "learning_rate": 0.002562324691723684, + "loss": 1.2792, + "step": 3638 + }, + { + "epoch": 0.31939351218214385, + "grad_norm": 0.1591796875, + "learning_rate": 0.0025620120363495226, + "loss": 1.2842, + "step": 3639 + }, + { + "epoch": 0.3194812817650463, + "grad_norm": 0.06396484375, + "learning_rate": 0.002561699290963383, + "loss": 1.23, + "step": 3640 + }, + { + "epoch": 0.3195690513479488, + "grad_norm": 0.1474609375, + "learning_rate": 0.0025613864555961304, + "loss": 1.221, + "step": 3641 + }, + { + "epoch": 0.3196568209308513, + "grad_norm": 0.06884765625, + "learning_rate": 0.002561073530278641, + "loss": 1.292, + "step": 3642 + }, + { + "epoch": 0.31974459051375376, + "grad_norm": 0.11474609375, + "learning_rate": 0.0025607605150417987, + "loss": 1.2336, + "step": 3643 + }, + { + "epoch": 0.3198323600966563, + "grad_norm": 0.08544921875, + "learning_rate": 0.002560447409916497, + "loss": 1.2731, + "step": 3644 + }, + { + "epoch": 0.31992012967955874, + "grad_norm": 0.1142578125, + "learning_rate": 0.0025601342149336394, + "loss": 1.2563, + "step": 3645 + }, + { + "epoch": 0.3200078992624612, + "grad_norm": 0.171875, + "learning_rate": 0.0025598209301241352, + "loss": 1.2311, + "step": 3646 + }, + { + "epoch": 0.3200956688453637, + "grad_norm": 0.0751953125, + "learning_rate": 0.002559507555518906, + "loss": 1.2805, + "step": 3647 + }, + { + "epoch": 0.3201834384282662, + "grad_norm": 0.09619140625, + "learning_rate": 0.002559194091148879, + "loss": 1.2659, + "step": 3648 + }, + { + "epoch": 0.3202712080111687, + "grad_norm": 0.06640625, + "learning_rate": 0.0025588805370449926, + "loss": 1.3416, + "step": 3649 + }, + { + "epoch": 0.32035897759407117, + "grad_norm": 0.08203125, + "learning_rate": 0.002558566893238194, + "loss": 1.2211, + "step": 3650 + }, + { + "epoch": 0.32044674717697363, + "grad_norm": 0.0771484375, + "learning_rate": 0.002558253159759438, + "loss": 1.2193, + "step": 3651 + }, + { + "epoch": 0.32053451675987615, + "grad_norm": 0.056884765625, + "learning_rate": 0.0025579393366396887, + "loss": 1.264, + "step": 3652 + }, + { + "epoch": 0.3206222863427786, + "grad_norm": 0.06494140625, + "learning_rate": 0.0025576254239099193, + "loss": 1.3171, + "step": 3653 + }, + { + "epoch": 0.3207100559256811, + "grad_norm": 0.060791015625, + "learning_rate": 0.002557311421601112, + "loss": 1.3002, + "step": 3654 + }, + { + "epoch": 0.3207978255085836, + "grad_norm": 0.06640625, + "learning_rate": 0.0025569973297442576, + "loss": 1.2464, + "step": 3655 + }, + { + "epoch": 0.32088559509148606, + "grad_norm": 0.068359375, + "learning_rate": 0.0025566831483703556, + "loss": 1.1842, + "step": 3656 + }, + { + "epoch": 0.3209733646743886, + "grad_norm": 0.0908203125, + "learning_rate": 0.002556368877510414, + "loss": 1.277, + "step": 3657 + }, + { + "epoch": 0.32106113425729105, + "grad_norm": 0.08642578125, + "learning_rate": 0.002556054517195451, + "loss": 1.3148, + "step": 3658 + }, + { + "epoch": 0.3211489038401935, + "grad_norm": 0.12158203125, + "learning_rate": 0.002555740067456492, + "loss": 1.2964, + "step": 3659 + }, + { + "epoch": 0.32123667342309603, + "grad_norm": 0.07861328125, + "learning_rate": 0.002555425528324572, + "loss": 1.269, + "step": 3660 + }, + { + "epoch": 0.3213244430059985, + "grad_norm": 0.08251953125, + "learning_rate": 0.0025551108998307353, + "loss": 1.2718, + "step": 3661 + }, + { + "epoch": 0.321412212588901, + "grad_norm": 0.0712890625, + "learning_rate": 0.0025547961820060337, + "loss": 1.2604, + "step": 3662 + }, + { + "epoch": 0.3214999821718035, + "grad_norm": 0.087890625, + "learning_rate": 0.00255448137488153, + "loss": 1.2569, + "step": 3663 + }, + { + "epoch": 0.32158775175470594, + "grad_norm": 0.09716796875, + "learning_rate": 0.002554166478488292, + "loss": 1.2961, + "step": 3664 + }, + { + "epoch": 0.32167552133760846, + "grad_norm": 0.060791015625, + "learning_rate": 0.002553851492857401, + "loss": 1.2614, + "step": 3665 + }, + { + "epoch": 0.3217632909205109, + "grad_norm": 0.0693359375, + "learning_rate": 0.002553536418019944, + "loss": 1.219, + "step": 3666 + }, + { + "epoch": 0.3218510605034134, + "grad_norm": 0.07080078125, + "learning_rate": 0.0025532212540070173, + "loss": 1.2551, + "step": 3667 + }, + { + "epoch": 0.3219388300863159, + "grad_norm": 0.078125, + "learning_rate": 0.002552906000849727, + "loss": 1.2483, + "step": 3668 + }, + { + "epoch": 0.32202659966921837, + "grad_norm": 0.08642578125, + "learning_rate": 0.0025525906585791873, + "loss": 1.2635, + "step": 3669 + }, + { + "epoch": 0.3221143692521209, + "grad_norm": 0.1455078125, + "learning_rate": 0.0025522752272265207, + "loss": 1.2612, + "step": 3670 + }, + { + "epoch": 0.32220213883502336, + "grad_norm": 0.0830078125, + "learning_rate": 0.0025519597068228593, + "loss": 1.2294, + "step": 3671 + }, + { + "epoch": 0.3222899084179258, + "grad_norm": 0.0908203125, + "learning_rate": 0.0025516440973993434, + "loss": 1.2335, + "step": 3672 + }, + { + "epoch": 0.32237767800082834, + "grad_norm": 0.0732421875, + "learning_rate": 0.002551328398987123, + "loss": 1.2709, + "step": 3673 + }, + { + "epoch": 0.3224654475837308, + "grad_norm": 0.0908203125, + "learning_rate": 0.0025510126116173562, + "loss": 1.1987, + "step": 3674 + }, + { + "epoch": 0.3225532171666333, + "grad_norm": 0.09912109375, + "learning_rate": 0.0025506967353212096, + "loss": 1.2795, + "step": 3675 + }, + { + "epoch": 0.3226409867495358, + "grad_norm": 0.072265625, + "learning_rate": 0.0025503807701298593, + "loss": 1.2423, + "step": 3676 + }, + { + "epoch": 0.32272875633243825, + "grad_norm": 0.076171875, + "learning_rate": 0.0025500647160744895, + "loss": 1.316, + "step": 3677 + }, + { + "epoch": 0.32281652591534077, + "grad_norm": 0.08447265625, + "learning_rate": 0.0025497485731862933, + "loss": 1.3196, + "step": 3678 + }, + { + "epoch": 0.32290429549824323, + "grad_norm": 0.07275390625, + "learning_rate": 0.002549432341496473, + "loss": 1.2743, + "step": 3679 + }, + { + "epoch": 0.3229920650811457, + "grad_norm": 0.1171875, + "learning_rate": 0.0025491160210362397, + "loss": 1.2443, + "step": 3680 + }, + { + "epoch": 0.3230798346640482, + "grad_norm": 0.0634765625, + "learning_rate": 0.002548799611836813, + "loss": 1.2591, + "step": 3681 + }, + { + "epoch": 0.3231676042469507, + "grad_norm": 0.1162109375, + "learning_rate": 0.002548483113929421, + "loss": 1.2808, + "step": 3682 + }, + { + "epoch": 0.3232553738298532, + "grad_norm": 0.0830078125, + "learning_rate": 0.0025481665273453004, + "loss": 1.2841, + "step": 3683 + }, + { + "epoch": 0.32334314341275566, + "grad_norm": 0.06982421875, + "learning_rate": 0.002547849852115697, + "loss": 1.2251, + "step": 3684 + }, + { + "epoch": 0.3234309129956581, + "grad_norm": 0.08154296875, + "learning_rate": 0.002547533088271866, + "loss": 1.2241, + "step": 3685 + }, + { + "epoch": 0.32351868257856065, + "grad_norm": 0.061767578125, + "learning_rate": 0.0025472162358450715, + "loss": 1.2915, + "step": 3686 + }, + { + "epoch": 0.3236064521614631, + "grad_norm": 0.1513671875, + "learning_rate": 0.002546899294866584, + "loss": 1.2427, + "step": 3687 + }, + { + "epoch": 0.32369422174436563, + "grad_norm": 0.08837890625, + "learning_rate": 0.002546582265367685, + "loss": 1.2149, + "step": 3688 + }, + { + "epoch": 0.3237819913272681, + "grad_norm": 0.10986328125, + "learning_rate": 0.002546265147379664, + "loss": 1.2542, + "step": 3689 + }, + { + "epoch": 0.32386976091017056, + "grad_norm": 0.10888671875, + "learning_rate": 0.0025459479409338194, + "loss": 1.2619, + "step": 3690 + }, + { + "epoch": 0.3239575304930731, + "grad_norm": 0.076171875, + "learning_rate": 0.0025456306460614575, + "loss": 1.3024, + "step": 3691 + }, + { + "epoch": 0.32404530007597554, + "grad_norm": 0.12890625, + "learning_rate": 0.002545313262793895, + "loss": 1.2757, + "step": 3692 + }, + { + "epoch": 0.324133069658878, + "grad_norm": 0.064453125, + "learning_rate": 0.0025449957911624563, + "loss": 1.2264, + "step": 3693 + }, + { + "epoch": 0.3242208392417805, + "grad_norm": 0.10888671875, + "learning_rate": 0.0025446782311984747, + "loss": 1.3051, + "step": 3694 + }, + { + "epoch": 0.324308608824683, + "grad_norm": 0.06982421875, + "learning_rate": 0.0025443605829332905, + "loss": 1.2478, + "step": 3695 + }, + { + "epoch": 0.3243963784075855, + "grad_norm": 0.0810546875, + "learning_rate": 0.002544042846398257, + "loss": 1.2214, + "step": 3696 + }, + { + "epoch": 0.32448414799048797, + "grad_norm": 0.1171875, + "learning_rate": 0.0025437250216247312, + "loss": 1.2114, + "step": 3697 + }, + { + "epoch": 0.32457191757339043, + "grad_norm": 0.068359375, + "learning_rate": 0.002543407108644082, + "loss": 1.2714, + "step": 3698 + }, + { + "epoch": 0.32465968715629295, + "grad_norm": 0.171875, + "learning_rate": 0.002543089107487687, + "loss": 1.2723, + "step": 3699 + }, + { + "epoch": 0.3247474567391954, + "grad_norm": 0.138671875, + "learning_rate": 0.00254277101818693, + "loss": 1.2854, + "step": 3700 + }, + { + "epoch": 0.32483522632209794, + "grad_norm": 0.1044921875, + "learning_rate": 0.0025424528407732064, + "loss": 1.2899, + "step": 3701 + }, + { + "epoch": 0.3249229959050004, + "grad_norm": 0.208984375, + "learning_rate": 0.0025421345752779188, + "loss": 1.2391, + "step": 3702 + }, + { + "epoch": 0.32501076548790286, + "grad_norm": 0.060791015625, + "learning_rate": 0.0025418162217324784, + "loss": 1.251, + "step": 3703 + }, + { + "epoch": 0.3250985350708054, + "grad_norm": 0.12109375, + "learning_rate": 0.002541497780168306, + "loss": 1.2149, + "step": 3704 + }, + { + "epoch": 0.32518630465370785, + "grad_norm": 0.0693359375, + "learning_rate": 0.0025411792506168296, + "loss": 1.2652, + "step": 3705 + }, + { + "epoch": 0.3252740742366103, + "grad_norm": 0.130859375, + "learning_rate": 0.0025408606331094874, + "loss": 1.258, + "step": 3706 + }, + { + "epoch": 0.32536184381951283, + "grad_norm": 0.06396484375, + "learning_rate": 0.002540541927677726, + "loss": 1.2684, + "step": 3707 + }, + { + "epoch": 0.3254496134024153, + "grad_norm": 0.15234375, + "learning_rate": 0.0025402231343530004, + "loss": 1.2957, + "step": 3708 + }, + { + "epoch": 0.3255373829853178, + "grad_norm": 0.064453125, + "learning_rate": 0.0025399042531667735, + "loss": 1.293, + "step": 3709 + }, + { + "epoch": 0.3256251525682203, + "grad_norm": 0.095703125, + "learning_rate": 0.0025395852841505182, + "loss": 1.2639, + "step": 3710 + }, + { + "epoch": 0.32571292215112274, + "grad_norm": 0.12451171875, + "learning_rate": 0.0025392662273357146, + "loss": 1.2412, + "step": 3711 + }, + { + "epoch": 0.32580069173402526, + "grad_norm": 0.1328125, + "learning_rate": 0.0025389470827538534, + "loss": 1.2482, + "step": 3712 + }, + { + "epoch": 0.3258884613169277, + "grad_norm": 0.07958984375, + "learning_rate": 0.0025386278504364325, + "loss": 1.225, + "step": 3713 + }, + { + "epoch": 0.32597623089983024, + "grad_norm": 0.125, + "learning_rate": 0.0025383085304149593, + "loss": 1.2702, + "step": 3714 + }, + { + "epoch": 0.3260640004827327, + "grad_norm": 0.06591796875, + "learning_rate": 0.002537989122720949, + "loss": 1.2097, + "step": 3715 + }, + { + "epoch": 0.32615177006563517, + "grad_norm": 0.0927734375, + "learning_rate": 0.002537669627385925, + "loss": 1.2717, + "step": 3716 + }, + { + "epoch": 0.3262395396485377, + "grad_norm": 0.0703125, + "learning_rate": 0.0025373500444414217, + "loss": 1.2309, + "step": 3717 + }, + { + "epoch": 0.32632730923144015, + "grad_norm": 0.09033203125, + "learning_rate": 0.00253703037391898, + "loss": 1.2578, + "step": 3718 + }, + { + "epoch": 0.3264150788143427, + "grad_norm": 0.0908203125, + "learning_rate": 0.00253671061585015, + "loss": 1.3245, + "step": 3719 + }, + { + "epoch": 0.32650284839724514, + "grad_norm": 0.09716796875, + "learning_rate": 0.002536390770266491, + "loss": 1.2825, + "step": 3720 + }, + { + "epoch": 0.3265906179801476, + "grad_norm": 0.0693359375, + "learning_rate": 0.00253607083719957, + "loss": 1.3416, + "step": 3721 + }, + { + "epoch": 0.3266783875630501, + "grad_norm": 0.06103515625, + "learning_rate": 0.002535750816680964, + "loss": 1.1654, + "step": 3722 + }, + { + "epoch": 0.3267661571459526, + "grad_norm": 0.109375, + "learning_rate": 0.0025354307087422567, + "loss": 1.2169, + "step": 3723 + }, + { + "epoch": 0.32685392672885505, + "grad_norm": 0.0625, + "learning_rate": 0.002535110513415042, + "loss": 1.2615, + "step": 3724 + }, + { + "epoch": 0.32694169631175757, + "grad_norm": 0.12890625, + "learning_rate": 0.0025347902307309217, + "loss": 1.2649, + "step": 3725 + }, + { + "epoch": 0.32702946589466003, + "grad_norm": 0.07763671875, + "learning_rate": 0.002534469860721507, + "loss": 1.2465, + "step": 3726 + }, + { + "epoch": 0.32711723547756255, + "grad_norm": 0.07861328125, + "learning_rate": 0.002534149403418416, + "loss": 1.214, + "step": 3727 + }, + { + "epoch": 0.327205005060465, + "grad_norm": 0.1455078125, + "learning_rate": 0.0025338288588532777, + "loss": 1.2594, + "step": 3728 + }, + { + "epoch": 0.3272927746433675, + "grad_norm": 0.0634765625, + "learning_rate": 0.0025335082270577284, + "loss": 1.2803, + "step": 3729 + }, + { + "epoch": 0.32738054422627, + "grad_norm": 0.169921875, + "learning_rate": 0.0025331875080634126, + "loss": 1.2449, + "step": 3730 + }, + { + "epoch": 0.32746831380917246, + "grad_norm": 0.0810546875, + "learning_rate": 0.0025328667019019844, + "loss": 1.2621, + "step": 3731 + }, + { + "epoch": 0.327556083392075, + "grad_norm": 0.166015625, + "learning_rate": 0.002532545808605106, + "loss": 1.203, + "step": 3732 + }, + { + "epoch": 0.32764385297497745, + "grad_norm": 0.1298828125, + "learning_rate": 0.002532224828204448, + "loss": 1.2359, + "step": 3733 + }, + { + "epoch": 0.3277316225578799, + "grad_norm": 0.083984375, + "learning_rate": 0.0025319037607316915, + "loss": 1.1992, + "step": 3734 + }, + { + "epoch": 0.32781939214078243, + "grad_norm": 0.1337890625, + "learning_rate": 0.0025315826062185217, + "loss": 1.3304, + "step": 3735 + }, + { + "epoch": 0.3279071617236849, + "grad_norm": 0.06103515625, + "learning_rate": 0.0025312613646966383, + "loss": 1.2537, + "step": 3736 + }, + { + "epoch": 0.32799493130658736, + "grad_norm": 0.125, + "learning_rate": 0.002530940036197744, + "loss": 1.2027, + "step": 3737 + }, + { + "epoch": 0.3280827008894899, + "grad_norm": 0.0634765625, + "learning_rate": 0.002530618620753555, + "loss": 1.2073, + "step": 3738 + }, + { + "epoch": 0.32817047047239234, + "grad_norm": 0.150390625, + "learning_rate": 0.002530297118395792, + "loss": 1.2433, + "step": 3739 + }, + { + "epoch": 0.32825824005529486, + "grad_norm": 0.05859375, + "learning_rate": 0.0025299755291561866, + "loss": 1.2212, + "step": 3740 + }, + { + "epoch": 0.3283460096381973, + "grad_norm": 0.12353515625, + "learning_rate": 0.002529653853066478, + "loss": 1.222, + "step": 3741 + }, + { + "epoch": 0.3284337792210998, + "grad_norm": 0.06494140625, + "learning_rate": 0.002529332090158415, + "loss": 1.2265, + "step": 3742 + }, + { + "epoch": 0.3285215488040023, + "grad_norm": 0.1357421875, + "learning_rate": 0.0025290102404637543, + "loss": 1.1789, + "step": 3743 + }, + { + "epoch": 0.32860931838690477, + "grad_norm": 0.08642578125, + "learning_rate": 0.0025286883040142607, + "loss": 1.2608, + "step": 3744 + }, + { + "epoch": 0.3286970879698073, + "grad_norm": 0.095703125, + "learning_rate": 0.002528366280841708, + "loss": 1.287, + "step": 3745 + }, + { + "epoch": 0.32878485755270975, + "grad_norm": 0.060791015625, + "learning_rate": 0.0025280441709778795, + "loss": 1.2626, + "step": 3746 + }, + { + "epoch": 0.3288726271356122, + "grad_norm": 0.12890625, + "learning_rate": 0.002527721974454565, + "loss": 1.2261, + "step": 3747 + }, + { + "epoch": 0.32896039671851474, + "grad_norm": 0.056396484375, + "learning_rate": 0.0025273996913035652, + "loss": 1.2195, + "step": 3748 + }, + { + "epoch": 0.3290481663014172, + "grad_norm": 0.1806640625, + "learning_rate": 0.0025270773215566875, + "loss": 1.2956, + "step": 3749 + }, + { + "epoch": 0.32913593588431966, + "grad_norm": 0.07861328125, + "learning_rate": 0.002526754865245748, + "loss": 1.2899, + "step": 3750 + }, + { + "epoch": 0.3292237054672222, + "grad_norm": 0.1240234375, + "learning_rate": 0.002526432322402573, + "loss": 1.2792, + "step": 3751 + }, + { + "epoch": 0.32931147505012465, + "grad_norm": 0.0732421875, + "learning_rate": 0.002526109693058995, + "loss": 1.2438, + "step": 3752 + }, + { + "epoch": 0.32939924463302717, + "grad_norm": 0.0673828125, + "learning_rate": 0.0025257869772468576, + "loss": 1.3401, + "step": 3753 + }, + { + "epoch": 0.32948701421592963, + "grad_norm": 0.060302734375, + "learning_rate": 0.0025254641749980107, + "loss": 1.3386, + "step": 3754 + }, + { + "epoch": 0.3295747837988321, + "grad_norm": 0.0693359375, + "learning_rate": 0.0025251412863443136, + "loss": 1.2555, + "step": 3755 + }, + { + "epoch": 0.3296625533817346, + "grad_norm": 0.055419921875, + "learning_rate": 0.002524818311317634, + "loss": 1.2637, + "step": 3756 + }, + { + "epoch": 0.3297503229646371, + "grad_norm": 0.0673828125, + "learning_rate": 0.002524495249949849, + "loss": 1.2575, + "step": 3757 + }, + { + "epoch": 0.3298380925475396, + "grad_norm": 0.080078125, + "learning_rate": 0.002524172102272843, + "loss": 1.2357, + "step": 3758 + }, + { + "epoch": 0.32992586213044206, + "grad_norm": 0.07666015625, + "learning_rate": 0.0025238488683185095, + "loss": 1.238, + "step": 3759 + }, + { + "epoch": 0.3300136317133445, + "grad_norm": 0.0849609375, + "learning_rate": 0.00252352554811875, + "loss": 1.2975, + "step": 3760 + }, + { + "epoch": 0.33010140129624704, + "grad_norm": 0.08203125, + "learning_rate": 0.002523202141705475, + "loss": 1.2368, + "step": 3761 + }, + { + "epoch": 0.3301891708791495, + "grad_norm": 0.0712890625, + "learning_rate": 0.0025228786491106043, + "loss": 1.2287, + "step": 3762 + }, + { + "epoch": 0.33027694046205197, + "grad_norm": 0.11083984375, + "learning_rate": 0.0025225550703660646, + "loss": 1.2193, + "step": 3763 + }, + { + "epoch": 0.3303647100449545, + "grad_norm": 0.0615234375, + "learning_rate": 0.002522231405503792, + "loss": 1.2226, + "step": 3764 + }, + { + "epoch": 0.33045247962785695, + "grad_norm": 0.091796875, + "learning_rate": 0.002521907654555731, + "loss": 1.3005, + "step": 3765 + }, + { + "epoch": 0.3305402492107595, + "grad_norm": 0.08447265625, + "learning_rate": 0.0025215838175538345, + "loss": 1.2229, + "step": 3766 + }, + { + "epoch": 0.33062801879366194, + "grad_norm": 0.111328125, + "learning_rate": 0.002521259894530064, + "loss": 1.262, + "step": 3767 + }, + { + "epoch": 0.3307157883765644, + "grad_norm": 0.0703125, + "learning_rate": 0.0025209358855163887, + "loss": 1.2642, + "step": 3768 + }, + { + "epoch": 0.3308035579594669, + "grad_norm": 0.10791015625, + "learning_rate": 0.002520611790544788, + "loss": 1.2599, + "step": 3769 + }, + { + "epoch": 0.3308913275423694, + "grad_norm": 0.0703125, + "learning_rate": 0.0025202876096472484, + "loss": 1.2076, + "step": 3770 + }, + { + "epoch": 0.3309790971252719, + "grad_norm": 0.0869140625, + "learning_rate": 0.002519963342855765, + "loss": 1.2606, + "step": 3771 + }, + { + "epoch": 0.33106686670817437, + "grad_norm": 0.08740234375, + "learning_rate": 0.0025196389902023427, + "loss": 1.2664, + "step": 3772 + }, + { + "epoch": 0.33115463629107683, + "grad_norm": 0.0869140625, + "learning_rate": 0.0025193145517189925, + "loss": 1.2137, + "step": 3773 + }, + { + "epoch": 0.33124240587397935, + "grad_norm": 0.07080078125, + "learning_rate": 0.0025189900274377357, + "loss": 1.2974, + "step": 3774 + }, + { + "epoch": 0.3313301754568818, + "grad_norm": 0.095703125, + "learning_rate": 0.0025186654173906015, + "loss": 1.3374, + "step": 3775 + }, + { + "epoch": 0.3314179450397843, + "grad_norm": 0.125, + "learning_rate": 0.002518340721609628, + "loss": 1.2484, + "step": 3776 + }, + { + "epoch": 0.3315057146226868, + "grad_norm": 0.07568359375, + "learning_rate": 0.002518015940126861, + "loss": 1.3006, + "step": 3777 + }, + { + "epoch": 0.33159348420558926, + "grad_norm": 0.1474609375, + "learning_rate": 0.0025176910729743556, + "loss": 1.2739, + "step": 3778 + }, + { + "epoch": 0.3316812537884918, + "grad_norm": 0.064453125, + "learning_rate": 0.0025173661201841743, + "loss": 1.2801, + "step": 3779 + }, + { + "epoch": 0.33176902337139424, + "grad_norm": 0.107421875, + "learning_rate": 0.0025170410817883892, + "loss": 1.2251, + "step": 3780 + }, + { + "epoch": 0.3318567929542967, + "grad_norm": 0.08251953125, + "learning_rate": 0.0025167159578190794, + "loss": 1.2788, + "step": 3781 + }, + { + "epoch": 0.33194456253719923, + "grad_norm": 0.0791015625, + "learning_rate": 0.0025163907483083344, + "loss": 1.2707, + "step": 3782 + }, + { + "epoch": 0.3320323321201017, + "grad_norm": 0.10302734375, + "learning_rate": 0.0025160654532882507, + "loss": 1.2502, + "step": 3783 + }, + { + "epoch": 0.3321201017030042, + "grad_norm": 0.08984375, + "learning_rate": 0.0025157400727909337, + "loss": 1.2705, + "step": 3784 + }, + { + "epoch": 0.3322078712859067, + "grad_norm": 0.08740234375, + "learning_rate": 0.002515414606848497, + "loss": 1.2243, + "step": 3785 + }, + { + "epoch": 0.33229564086880914, + "grad_norm": 0.134765625, + "learning_rate": 0.0025150890554930627, + "loss": 1.2388, + "step": 3786 + }, + { + "epoch": 0.33238341045171166, + "grad_norm": 0.07861328125, + "learning_rate": 0.0025147634187567616, + "loss": 1.1998, + "step": 3787 + }, + { + "epoch": 0.3324711800346141, + "grad_norm": 0.130859375, + "learning_rate": 0.0025144376966717333, + "loss": 1.2723, + "step": 3788 + }, + { + "epoch": 0.33255894961751664, + "grad_norm": 0.07080078125, + "learning_rate": 0.0025141118892701244, + "loss": 1.2278, + "step": 3789 + }, + { + "epoch": 0.3326467192004191, + "grad_norm": 0.1767578125, + "learning_rate": 0.002513785996584091, + "loss": 1.2397, + "step": 3790 + }, + { + "epoch": 0.33273448878332157, + "grad_norm": 0.06396484375, + "learning_rate": 0.0025134600186457975, + "loss": 1.199, + "step": 3791 + }, + { + "epoch": 0.3328222583662241, + "grad_norm": 0.1884765625, + "learning_rate": 0.0025131339554874173, + "loss": 1.2355, + "step": 3792 + }, + { + "epoch": 0.33291002794912655, + "grad_norm": 0.060546875, + "learning_rate": 0.00251280780714113, + "loss": 1.2621, + "step": 3793 + }, + { + "epoch": 0.332997797532029, + "grad_norm": 0.23046875, + "learning_rate": 0.002512481573639127, + "loss": 1.3712, + "step": 3794 + }, + { + "epoch": 0.33308556711493154, + "grad_norm": 0.0625, + "learning_rate": 0.0025121552550136043, + "loss": 1.2313, + "step": 3795 + }, + { + "epoch": 0.333173336697834, + "grad_norm": 0.1767578125, + "learning_rate": 0.0025118288512967707, + "loss": 1.2302, + "step": 3796 + }, + { + "epoch": 0.3332611062807365, + "grad_norm": 0.0712890625, + "learning_rate": 0.0025115023625208385, + "loss": 1.2087, + "step": 3797 + }, + { + "epoch": 0.333348875863639, + "grad_norm": 0.076171875, + "learning_rate": 0.0025111757887180323, + "loss": 1.3146, + "step": 3798 + }, + { + "epoch": 0.33343664544654145, + "grad_norm": 0.07177734375, + "learning_rate": 0.0025108491299205833, + "loss": 1.2671, + "step": 3799 + }, + { + "epoch": 0.33352441502944397, + "grad_norm": 0.078125, + "learning_rate": 0.0025105223861607313, + "loss": 1.2379, + "step": 3800 + }, + { + "epoch": 0.33361218461234643, + "grad_norm": 0.1279296875, + "learning_rate": 0.0025101955574707248, + "loss": 1.2303, + "step": 3801 + }, + { + "epoch": 0.33369995419524895, + "grad_norm": 0.06298828125, + "learning_rate": 0.0025098686438828205, + "loss": 1.3177, + "step": 3802 + }, + { + "epoch": 0.3337877237781514, + "grad_norm": 0.17578125, + "learning_rate": 0.002509541645429283, + "loss": 1.3069, + "step": 3803 + }, + { + "epoch": 0.3338754933610539, + "grad_norm": 0.064453125, + "learning_rate": 0.0025092145621423857, + "loss": 1.2034, + "step": 3804 + }, + { + "epoch": 0.3339632629439564, + "grad_norm": 0.10986328125, + "learning_rate": 0.002508887394054412, + "loss": 1.2386, + "step": 3805 + }, + { + "epoch": 0.33405103252685886, + "grad_norm": 0.0673828125, + "learning_rate": 0.0025085601411976503, + "loss": 1.2443, + "step": 3806 + }, + { + "epoch": 0.3341388021097613, + "grad_norm": 0.06689453125, + "learning_rate": 0.0025082328036043996, + "loss": 1.2725, + "step": 3807 + }, + { + "epoch": 0.33422657169266384, + "grad_norm": 0.059814453125, + "learning_rate": 0.0025079053813069677, + "loss": 1.2294, + "step": 3808 + }, + { + "epoch": 0.3343143412755663, + "grad_norm": 0.0634765625, + "learning_rate": 0.0025075778743376687, + "loss": 1.1634, + "step": 3809 + }, + { + "epoch": 0.3344021108584688, + "grad_norm": 0.07275390625, + "learning_rate": 0.0025072502827288273, + "loss": 1.2462, + "step": 3810 + }, + { + "epoch": 0.3344898804413713, + "grad_norm": 0.062255859375, + "learning_rate": 0.0025069226065127744, + "loss": 1.2371, + "step": 3811 + }, + { + "epoch": 0.33457765002427375, + "grad_norm": 0.12255859375, + "learning_rate": 0.0025065948457218506, + "loss": 1.3102, + "step": 3812 + }, + { + "epoch": 0.3346654196071763, + "grad_norm": 0.06298828125, + "learning_rate": 0.002506267000388406, + "loss": 1.216, + "step": 3813 + }, + { + "epoch": 0.33475318919007874, + "grad_norm": 0.095703125, + "learning_rate": 0.0025059390705447957, + "loss": 1.2178, + "step": 3814 + }, + { + "epoch": 0.33484095877298126, + "grad_norm": 0.064453125, + "learning_rate": 0.0025056110562233862, + "loss": 1.261, + "step": 3815 + }, + { + "epoch": 0.3349287283558837, + "grad_norm": 0.0859375, + "learning_rate": 0.0025052829574565513, + "loss": 1.2298, + "step": 3816 + }, + { + "epoch": 0.3350164979387862, + "grad_norm": 0.0546875, + "learning_rate": 0.002504954774276672, + "loss": 1.262, + "step": 3817 + }, + { + "epoch": 0.3351042675216887, + "grad_norm": 0.09033203125, + "learning_rate": 0.0025046265067161398, + "loss": 1.232, + "step": 3818 + }, + { + "epoch": 0.33519203710459117, + "grad_norm": 0.09423828125, + "learning_rate": 0.002504298154807353, + "loss": 1.2552, + "step": 3819 + }, + { + "epoch": 0.33527980668749363, + "grad_norm": 0.07763671875, + "learning_rate": 0.002503969718582718, + "loss": 1.1982, + "step": 3820 + }, + { + "epoch": 0.33536757627039615, + "grad_norm": 0.08642578125, + "learning_rate": 0.0025036411980746513, + "loss": 1.2486, + "step": 3821 + }, + { + "epoch": 0.3354553458532986, + "grad_norm": 0.07958984375, + "learning_rate": 0.0025033125933155756, + "loss": 1.2, + "step": 3822 + }, + { + "epoch": 0.33554311543620113, + "grad_norm": 0.0654296875, + "learning_rate": 0.002502983904337924, + "loss": 1.2906, + "step": 3823 + }, + { + "epoch": 0.3356308850191036, + "grad_norm": 0.12890625, + "learning_rate": 0.0025026551311741357, + "loss": 1.2372, + "step": 3824 + }, + { + "epoch": 0.33571865460200606, + "grad_norm": 0.0859375, + "learning_rate": 0.00250232627385666, + "loss": 1.2027, + "step": 3825 + }, + { + "epoch": 0.3358064241849086, + "grad_norm": 0.07177734375, + "learning_rate": 0.0025019973324179536, + "loss": 1.2718, + "step": 3826 + }, + { + "epoch": 0.33589419376781104, + "grad_norm": 0.05517578125, + "learning_rate": 0.0025016683068904816, + "loss": 1.1979, + "step": 3827 + }, + { + "epoch": 0.33598196335071356, + "grad_norm": 0.07666015625, + "learning_rate": 0.002501339197306717, + "loss": 1.2185, + "step": 3828 + }, + { + "epoch": 0.336069732933616, + "grad_norm": 0.0771484375, + "learning_rate": 0.0025010100036991427, + "loss": 1.2562, + "step": 3829 + }, + { + "epoch": 0.3361575025165185, + "grad_norm": 0.0908203125, + "learning_rate": 0.0025006807261002484, + "loss": 1.1998, + "step": 3830 + }, + { + "epoch": 0.336245272099421, + "grad_norm": 0.064453125, + "learning_rate": 0.002500351364542532, + "loss": 1.2845, + "step": 3831 + }, + { + "epoch": 0.3363330416823235, + "grad_norm": 0.0712890625, + "learning_rate": 0.002500021919058501, + "loss": 1.3241, + "step": 3832 + }, + { + "epoch": 0.33642081126522594, + "grad_norm": 0.06494140625, + "learning_rate": 0.00249969238968067, + "loss": 1.2449, + "step": 3833 + }, + { + "epoch": 0.33650858084812846, + "grad_norm": 0.0869140625, + "learning_rate": 0.002499362776441562, + "loss": 1.3042, + "step": 3834 + }, + { + "epoch": 0.3365963504310309, + "grad_norm": 0.08984375, + "learning_rate": 0.0024990330793737093, + "loss": 1.2679, + "step": 3835 + }, + { + "epoch": 0.33668412001393344, + "grad_norm": 0.05908203125, + "learning_rate": 0.00249870329850965, + "loss": 1.246, + "step": 3836 + }, + { + "epoch": 0.3367718895968359, + "grad_norm": 0.11962890625, + "learning_rate": 0.0024983734338819338, + "loss": 1.2822, + "step": 3837 + }, + { + "epoch": 0.33685965917973837, + "grad_norm": 0.10400390625, + "learning_rate": 0.0024980434855231166, + "loss": 1.178, + "step": 3838 + }, + { + "epoch": 0.3369474287626409, + "grad_norm": 0.09375, + "learning_rate": 0.002497713453465763, + "loss": 1.3513, + "step": 3839 + }, + { + "epoch": 0.33703519834554335, + "grad_norm": 0.1240234375, + "learning_rate": 0.0024973833377424457, + "loss": 1.198, + "step": 3840 + }, + { + "epoch": 0.33712296792844587, + "grad_norm": 0.072265625, + "learning_rate": 0.002497053138385746, + "loss": 1.2593, + "step": 3841 + }, + { + "epoch": 0.33721073751134834, + "grad_norm": 0.09326171875, + "learning_rate": 0.002496722855428253, + "loss": 1.2104, + "step": 3842 + }, + { + "epoch": 0.3372985070942508, + "grad_norm": 0.060546875, + "learning_rate": 0.0024963924889025648, + "loss": 1.2327, + "step": 3843 + }, + { + "epoch": 0.3373862766771533, + "grad_norm": 0.08642578125, + "learning_rate": 0.0024960620388412864, + "loss": 1.2432, + "step": 3844 + }, + { + "epoch": 0.3374740462600558, + "grad_norm": 0.06494140625, + "learning_rate": 0.0024957315052770326, + "loss": 1.2453, + "step": 3845 + }, + { + "epoch": 0.33756181584295825, + "grad_norm": 0.10205078125, + "learning_rate": 0.0024954008882424254, + "loss": 1.2313, + "step": 3846 + }, + { + "epoch": 0.33764958542586077, + "grad_norm": 0.07177734375, + "learning_rate": 0.002495070187770096, + "loss": 1.2881, + "step": 3847 + }, + { + "epoch": 0.33773735500876323, + "grad_norm": 0.076171875, + "learning_rate": 0.0024947394038926833, + "loss": 1.2224, + "step": 3848 + }, + { + "epoch": 0.33782512459166575, + "grad_norm": 0.107421875, + "learning_rate": 0.0024944085366428335, + "loss": 1.2479, + "step": 3849 + }, + { + "epoch": 0.3379128941745682, + "grad_norm": 0.0693359375, + "learning_rate": 0.0024940775860532024, + "loss": 1.2176, + "step": 3850 + }, + { + "epoch": 0.3380006637574707, + "grad_norm": 0.060302734375, + "learning_rate": 0.0024937465521564527, + "loss": 1.2383, + "step": 3851 + }, + { + "epoch": 0.3380884333403732, + "grad_norm": 0.061767578125, + "learning_rate": 0.0024934154349852576, + "loss": 1.2914, + "step": 3852 + }, + { + "epoch": 0.33817620292327566, + "grad_norm": 0.0625, + "learning_rate": 0.002493084234572296, + "loss": 1.2776, + "step": 3853 + }, + { + "epoch": 0.3382639725061782, + "grad_norm": 0.05712890625, + "learning_rate": 0.002492752950950256, + "loss": 1.2459, + "step": 3854 + }, + { + "epoch": 0.33835174208908064, + "grad_norm": 0.058349609375, + "learning_rate": 0.0024924215841518353, + "loss": 1.2197, + "step": 3855 + }, + { + "epoch": 0.3384395116719831, + "grad_norm": 0.068359375, + "learning_rate": 0.002492090134209737, + "loss": 1.276, + "step": 3856 + }, + { + "epoch": 0.3385272812548856, + "grad_norm": 0.06787109375, + "learning_rate": 0.002491758601156674, + "loss": 1.2357, + "step": 3857 + }, + { + "epoch": 0.3386150508377881, + "grad_norm": 0.0615234375, + "learning_rate": 0.0024914269850253683, + "loss": 1.21, + "step": 3858 + }, + { + "epoch": 0.3387028204206906, + "grad_norm": 0.0703125, + "learning_rate": 0.0024910952858485484, + "loss": 1.2655, + "step": 3859 + }, + { + "epoch": 0.3387905900035931, + "grad_norm": 0.11474609375, + "learning_rate": 0.002490763503658952, + "loss": 1.2379, + "step": 3860 + }, + { + "epoch": 0.33887835958649554, + "grad_norm": 0.1357421875, + "learning_rate": 0.0024904316384893243, + "loss": 1.2728, + "step": 3861 + }, + { + "epoch": 0.33896612916939806, + "grad_norm": 0.10400390625, + "learning_rate": 0.0024900996903724193, + "loss": 1.2496, + "step": 3862 + }, + { + "epoch": 0.3390538987523005, + "grad_norm": 0.123046875, + "learning_rate": 0.0024897676593409993, + "loss": 1.2273, + "step": 3863 + }, + { + "epoch": 0.339141668335203, + "grad_norm": 0.06298828125, + "learning_rate": 0.0024894355454278335, + "loss": 1.2697, + "step": 3864 + }, + { + "epoch": 0.3392294379181055, + "grad_norm": 0.06689453125, + "learning_rate": 0.0024891033486657012, + "loss": 1.282, + "step": 3865 + }, + { + "epoch": 0.33931720750100797, + "grad_norm": 0.06689453125, + "learning_rate": 0.0024887710690873885, + "loss": 1.2563, + "step": 3866 + }, + { + "epoch": 0.3394049770839105, + "grad_norm": 0.0634765625, + "learning_rate": 0.0024884387067256905, + "loss": 1.1868, + "step": 3867 + }, + { + "epoch": 0.33949274666681295, + "grad_norm": 0.0673828125, + "learning_rate": 0.0024881062616134092, + "loss": 1.1902, + "step": 3868 + }, + { + "epoch": 0.3395805162497154, + "grad_norm": 0.08837890625, + "learning_rate": 0.0024877737337833565, + "loss": 1.2901, + "step": 3869 + }, + { + "epoch": 0.33966828583261793, + "grad_norm": 0.059326171875, + "learning_rate": 0.0024874411232683508, + "loss": 1.2237, + "step": 3870 + }, + { + "epoch": 0.3397560554155204, + "grad_norm": 0.0625, + "learning_rate": 0.00248710843010122, + "loss": 1.2257, + "step": 3871 + }, + { + "epoch": 0.3398438249984229, + "grad_norm": 0.07421875, + "learning_rate": 0.002486775654314799, + "loss": 1.2259, + "step": 3872 + }, + { + "epoch": 0.3399315945813254, + "grad_norm": 0.07958984375, + "learning_rate": 0.0024864427959419323, + "loss": 1.2533, + "step": 3873 + }, + { + "epoch": 0.34001936416422784, + "grad_norm": 0.060302734375, + "learning_rate": 0.002486109855015472, + "loss": 1.2246, + "step": 3874 + }, + { + "epoch": 0.34010713374713036, + "grad_norm": 0.06494140625, + "learning_rate": 0.0024857768315682763, + "loss": 1.265, + "step": 3875 + }, + { + "epoch": 0.3401949033300328, + "grad_norm": 0.07421875, + "learning_rate": 0.0024854437256332145, + "loss": 1.2477, + "step": 3876 + }, + { + "epoch": 0.3402826729129353, + "grad_norm": 0.0947265625, + "learning_rate": 0.0024851105372431623, + "loss": 1.2539, + "step": 3877 + }, + { + "epoch": 0.3403704424958378, + "grad_norm": 0.06103515625, + "learning_rate": 0.0024847772664310054, + "loss": 1.2641, + "step": 3878 + }, + { + "epoch": 0.3404582120787403, + "grad_norm": 0.0703125, + "learning_rate": 0.0024844439132296345, + "loss": 1.2266, + "step": 3879 + }, + { + "epoch": 0.3405459816616428, + "grad_norm": 0.080078125, + "learning_rate": 0.002484110477671952, + "loss": 1.2298, + "step": 3880 + }, + { + "epoch": 0.34063375124454526, + "grad_norm": 0.0673828125, + "learning_rate": 0.0024837769597908644, + "loss": 1.223, + "step": 3881 + }, + { + "epoch": 0.3407215208274477, + "grad_norm": 0.0693359375, + "learning_rate": 0.0024834433596192906, + "loss": 1.2716, + "step": 3882 + }, + { + "epoch": 0.34080929041035024, + "grad_norm": 0.0791015625, + "learning_rate": 0.002483109677190156, + "loss": 1.2197, + "step": 3883 + }, + { + "epoch": 0.3408970599932527, + "grad_norm": 0.06298828125, + "learning_rate": 0.0024827759125363915, + "loss": 1.2683, + "step": 3884 + }, + { + "epoch": 0.3409848295761552, + "grad_norm": 0.0771484375, + "learning_rate": 0.0024824420656909397, + "loss": 1.2819, + "step": 3885 + }, + { + "epoch": 0.3410725991590577, + "grad_norm": 0.07373046875, + "learning_rate": 0.00248210813668675, + "loss": 1.2713, + "step": 3886 + }, + { + "epoch": 0.34116036874196015, + "grad_norm": 0.08447265625, + "learning_rate": 0.0024817741255567798, + "loss": 1.2244, + "step": 3887 + }, + { + "epoch": 0.34124813832486267, + "grad_norm": 0.11279296875, + "learning_rate": 0.0024814400323339945, + "loss": 1.2013, + "step": 3888 + }, + { + "epoch": 0.34133590790776513, + "grad_norm": 0.0771484375, + "learning_rate": 0.0024811058570513678, + "loss": 1.2884, + "step": 3889 + }, + { + "epoch": 0.3414236774906676, + "grad_norm": 0.07373046875, + "learning_rate": 0.0024807715997418817, + "loss": 1.2264, + "step": 3890 + }, + { + "epoch": 0.3415114470735701, + "grad_norm": 0.12353515625, + "learning_rate": 0.0024804372604385256, + "loss": 1.1952, + "step": 3891 + }, + { + "epoch": 0.3415992166564726, + "grad_norm": 0.06298828125, + "learning_rate": 0.002480102839174298, + "loss": 1.2594, + "step": 3892 + }, + { + "epoch": 0.3416869862393751, + "grad_norm": 0.2294921875, + "learning_rate": 0.002479768335982205, + "loss": 1.2732, + "step": 3893 + }, + { + "epoch": 0.34177475582227757, + "grad_norm": 0.12353515625, + "learning_rate": 0.0024794337508952597, + "loss": 1.1971, + "step": 3894 + }, + { + "epoch": 0.34186252540518003, + "grad_norm": 0.181640625, + "learning_rate": 0.002479099083946486, + "loss": 1.3004, + "step": 3895 + }, + { + "epoch": 0.34195029498808255, + "grad_norm": 0.09765625, + "learning_rate": 0.002478764335168912, + "loss": 1.2729, + "step": 3896 + }, + { + "epoch": 0.342038064570985, + "grad_norm": 0.16015625, + "learning_rate": 0.0024784295045955787, + "loss": 1.2337, + "step": 3897 + }, + { + "epoch": 0.34212583415388753, + "grad_norm": 0.07568359375, + "learning_rate": 0.0024780945922595306, + "loss": 1.2409, + "step": 3898 + }, + { + "epoch": 0.34221360373679, + "grad_norm": 0.10009765625, + "learning_rate": 0.002477759598193823, + "loss": 1.2426, + "step": 3899 + }, + { + "epoch": 0.34230137331969246, + "grad_norm": 0.058349609375, + "learning_rate": 0.0024774245224315184, + "loss": 1.2438, + "step": 3900 + }, + { + "epoch": 0.342389142902595, + "grad_norm": 0.08349609375, + "learning_rate": 0.002477089365005687, + "loss": 1.2612, + "step": 3901 + }, + { + "epoch": 0.34247691248549744, + "grad_norm": 0.059326171875, + "learning_rate": 0.0024767541259494087, + "loss": 1.2024, + "step": 3902 + }, + { + "epoch": 0.3425646820683999, + "grad_norm": 0.06396484375, + "learning_rate": 0.002476418805295768, + "loss": 1.201, + "step": 3903 + }, + { + "epoch": 0.3426524516513024, + "grad_norm": 0.0810546875, + "learning_rate": 0.0024760834030778628, + "loss": 1.2228, + "step": 3904 + }, + { + "epoch": 0.3427402212342049, + "grad_norm": 0.06591796875, + "learning_rate": 0.002475747919328794, + "loss": 1.2355, + "step": 3905 + }, + { + "epoch": 0.3428279908171074, + "grad_norm": 0.10986328125, + "learning_rate": 0.0024754123540816726, + "loss": 1.2358, + "step": 3906 + }, + { + "epoch": 0.3429157604000099, + "grad_norm": 0.06298828125, + "learning_rate": 0.002475076707369618, + "loss": 1.2443, + "step": 3907 + }, + { + "epoch": 0.34300352998291234, + "grad_norm": 0.142578125, + "learning_rate": 0.0024747409792257565, + "loss": 1.2954, + "step": 3908 + }, + { + "epoch": 0.34309129956581486, + "grad_norm": 0.06640625, + "learning_rate": 0.0024744051696832243, + "loss": 1.2233, + "step": 3909 + }, + { + "epoch": 0.3431790691487173, + "grad_norm": 0.1650390625, + "learning_rate": 0.0024740692787751633, + "loss": 1.2086, + "step": 3910 + }, + { + "epoch": 0.34326683873161984, + "grad_norm": 0.0654296875, + "learning_rate": 0.002473733306534726, + "loss": 1.2927, + "step": 3911 + }, + { + "epoch": 0.3433546083145223, + "grad_norm": 0.1572265625, + "learning_rate": 0.0024733972529950698, + "loss": 1.2207, + "step": 3912 + }, + { + "epoch": 0.34344237789742477, + "grad_norm": 0.0615234375, + "learning_rate": 0.0024730611181893636, + "loss": 1.2145, + "step": 3913 + }, + { + "epoch": 0.3435301474803273, + "grad_norm": 0.09619140625, + "learning_rate": 0.002472724902150781, + "loss": 1.2483, + "step": 3914 + }, + { + "epoch": 0.34361791706322975, + "grad_norm": 0.057861328125, + "learning_rate": 0.0024723886049125058, + "loss": 1.2293, + "step": 3915 + }, + { + "epoch": 0.34370568664613227, + "grad_norm": 0.064453125, + "learning_rate": 0.00247205222650773, + "loss": 1.2995, + "step": 3916 + }, + { + "epoch": 0.34379345622903473, + "grad_norm": 0.060302734375, + "learning_rate": 0.002471715766969652, + "loss": 1.2245, + "step": 3917 + }, + { + "epoch": 0.3438812258119372, + "grad_norm": 0.061767578125, + "learning_rate": 0.002471379226331479, + "loss": 1.2291, + "step": 3918 + }, + { + "epoch": 0.3439689953948397, + "grad_norm": 0.06396484375, + "learning_rate": 0.0024710426046264263, + "loss": 1.2931, + "step": 3919 + }, + { + "epoch": 0.3440567649777422, + "grad_norm": 0.08544921875, + "learning_rate": 0.0024707059018877174, + "loss": 1.2876, + "step": 3920 + }, + { + "epoch": 0.34414453456064464, + "grad_norm": 0.0771484375, + "learning_rate": 0.0024703691181485834, + "loss": 1.1831, + "step": 3921 + }, + { + "epoch": 0.34423230414354716, + "grad_norm": 0.1259765625, + "learning_rate": 0.0024700322534422633, + "loss": 1.2332, + "step": 3922 + }, + { + "epoch": 0.3443200737264496, + "grad_norm": 0.08447265625, + "learning_rate": 0.002469695307802005, + "loss": 1.2615, + "step": 3923 + }, + { + "epoch": 0.34440784330935215, + "grad_norm": 0.11669921875, + "learning_rate": 0.0024693582812610622, + "loss": 1.2372, + "step": 3924 + }, + { + "epoch": 0.3444956128922546, + "grad_norm": 0.0732421875, + "learning_rate": 0.0024690211738526992, + "loss": 1.2727, + "step": 3925 + }, + { + "epoch": 0.3445833824751571, + "grad_norm": 0.08740234375, + "learning_rate": 0.002468683985610188, + "loss": 1.2459, + "step": 3926 + }, + { + "epoch": 0.3446711520580596, + "grad_norm": 0.09033203125, + "learning_rate": 0.002468346716566806, + "loss": 1.2815, + "step": 3927 + }, + { + "epoch": 0.34475892164096206, + "grad_norm": 0.10986328125, + "learning_rate": 0.002468009366755841, + "loss": 1.199, + "step": 3928 + }, + { + "epoch": 0.3448466912238646, + "grad_norm": 0.06787109375, + "learning_rate": 0.002467671936210589, + "loss": 1.1999, + "step": 3929 + }, + { + "epoch": 0.34493446080676704, + "grad_norm": 0.06494140625, + "learning_rate": 0.0024673344249643517, + "loss": 1.2399, + "step": 3930 + }, + { + "epoch": 0.3450222303896695, + "grad_norm": 0.1328125, + "learning_rate": 0.002466996833050441, + "loss": 1.2403, + "step": 3931 + }, + { + "epoch": 0.345109999972572, + "grad_norm": 0.07275390625, + "learning_rate": 0.0024666591605021753, + "loss": 1.2722, + "step": 3932 + }, + { + "epoch": 0.3451977695554745, + "grad_norm": 0.0966796875, + "learning_rate": 0.0024663214073528824, + "loss": 1.2229, + "step": 3933 + }, + { + "epoch": 0.34528553913837695, + "grad_norm": 0.11083984375, + "learning_rate": 0.002465983573635896, + "loss": 1.2623, + "step": 3934 + }, + { + "epoch": 0.34537330872127947, + "grad_norm": 0.0908203125, + "learning_rate": 0.0024656456593845594, + "loss": 1.2396, + "step": 3935 + }, + { + "epoch": 0.34546107830418193, + "grad_norm": 0.083984375, + "learning_rate": 0.0024653076646322237, + "loss": 1.2818, + "step": 3936 + }, + { + "epoch": 0.34554884788708445, + "grad_norm": 0.080078125, + "learning_rate": 0.0024649695894122478, + "loss": 1.1482, + "step": 3937 + }, + { + "epoch": 0.3456366174699869, + "grad_norm": 0.0849609375, + "learning_rate": 0.002464631433757998, + "loss": 1.2432, + "step": 3938 + }, + { + "epoch": 0.3457243870528894, + "grad_norm": 0.080078125, + "learning_rate": 0.002464293197702849, + "loss": 1.2769, + "step": 3939 + }, + { + "epoch": 0.3458121566357919, + "grad_norm": 0.138671875, + "learning_rate": 0.0024639548812801833, + "loss": 1.2549, + "step": 3940 + }, + { + "epoch": 0.34589992621869436, + "grad_norm": 0.1337890625, + "learning_rate": 0.002463616484523392, + "loss": 1.2159, + "step": 3941 + }, + { + "epoch": 0.3459876958015969, + "grad_norm": 0.07666015625, + "learning_rate": 0.002463278007465872, + "loss": 1.2639, + "step": 3942 + }, + { + "epoch": 0.34607546538449935, + "grad_norm": 0.08544921875, + "learning_rate": 0.0024629394501410316, + "loss": 1.2568, + "step": 3943 + }, + { + "epoch": 0.3461632349674018, + "grad_norm": 0.06640625, + "learning_rate": 0.0024626008125822833, + "loss": 1.2463, + "step": 3944 + }, + { + "epoch": 0.34625100455030433, + "grad_norm": 0.05908203125, + "learning_rate": 0.0024622620948230507, + "loss": 1.2087, + "step": 3945 + }, + { + "epoch": 0.3463387741332068, + "grad_norm": 0.08837890625, + "learning_rate": 0.0024619232968967632, + "loss": 1.268, + "step": 3946 + }, + { + "epoch": 0.34642654371610926, + "grad_norm": 0.103515625, + "learning_rate": 0.0024615844188368586, + "loss": 1.2481, + "step": 3947 + }, + { + "epoch": 0.3465143132990118, + "grad_norm": 0.10498046875, + "learning_rate": 0.002461245460676783, + "loss": 1.3106, + "step": 3948 + }, + { + "epoch": 0.34660208288191424, + "grad_norm": 0.126953125, + "learning_rate": 0.0024609064224499913, + "loss": 1.3123, + "step": 3949 + }, + { + "epoch": 0.34668985246481676, + "grad_norm": 0.08447265625, + "learning_rate": 0.0024605673041899435, + "loss": 1.1776, + "step": 3950 + }, + { + "epoch": 0.3467776220477192, + "grad_norm": 0.068359375, + "learning_rate": 0.0024602281059301107, + "loss": 1.2278, + "step": 3951 + }, + { + "epoch": 0.3468653916306217, + "grad_norm": 0.08056640625, + "learning_rate": 0.002459888827703969, + "loss": 1.236, + "step": 3952 + }, + { + "epoch": 0.3469531612135242, + "grad_norm": 0.0849609375, + "learning_rate": 0.002459549469545005, + "loss": 1.2221, + "step": 3953 + }, + { + "epoch": 0.34704093079642667, + "grad_norm": 0.062255859375, + "learning_rate": 0.002459210031486711, + "loss": 1.2717, + "step": 3954 + }, + { + "epoch": 0.3471287003793292, + "grad_norm": 0.10205078125, + "learning_rate": 0.0024588705135625897, + "loss": 1.258, + "step": 3955 + }, + { + "epoch": 0.34721646996223166, + "grad_norm": 0.0595703125, + "learning_rate": 0.0024585309158061484, + "loss": 1.31, + "step": 3956 + }, + { + "epoch": 0.3473042395451341, + "grad_norm": 0.0947265625, + "learning_rate": 0.0024581912382509053, + "loss": 1.2284, + "step": 3957 + }, + { + "epoch": 0.34739200912803664, + "grad_norm": 0.07958984375, + "learning_rate": 0.002457851480930385, + "loss": 1.234, + "step": 3958 + }, + { + "epoch": 0.3474797787109391, + "grad_norm": 0.1318359375, + "learning_rate": 0.00245751164387812, + "loss": 1.2052, + "step": 3959 + }, + { + "epoch": 0.34756754829384157, + "grad_norm": 0.06640625, + "learning_rate": 0.0024571717271276504, + "loss": 1.3198, + "step": 3960 + }, + { + "epoch": 0.3476553178767441, + "grad_norm": 0.1083984375, + "learning_rate": 0.0024568317307125257, + "loss": 1.2388, + "step": 3961 + }, + { + "epoch": 0.34774308745964655, + "grad_norm": 0.058837890625, + "learning_rate": 0.0024564916546663015, + "loss": 1.2584, + "step": 3962 + }, + { + "epoch": 0.34783085704254907, + "grad_norm": 0.10009765625, + "learning_rate": 0.002456151499022542, + "loss": 1.2585, + "step": 3963 + }, + { + "epoch": 0.34791862662545153, + "grad_norm": 0.0595703125, + "learning_rate": 0.0024558112638148194, + "loss": 1.2513, + "step": 3964 + }, + { + "epoch": 0.348006396208354, + "grad_norm": 0.1298828125, + "learning_rate": 0.002455470949076714, + "loss": 1.2528, + "step": 3965 + }, + { + "epoch": 0.3480941657912565, + "grad_norm": 0.059814453125, + "learning_rate": 0.002455130554841812, + "loss": 1.2199, + "step": 3966 + }, + { + "epoch": 0.348181935374159, + "grad_norm": 0.0625, + "learning_rate": 0.0024547900811437108, + "loss": 1.1906, + "step": 3967 + }, + { + "epoch": 0.3482697049570615, + "grad_norm": 0.09619140625, + "learning_rate": 0.0024544495280160125, + "loss": 1.1924, + "step": 3968 + }, + { + "epoch": 0.34835747453996396, + "grad_norm": 0.060546875, + "learning_rate": 0.002454108895492329, + "loss": 1.2129, + "step": 3969 + }, + { + "epoch": 0.3484452441228664, + "grad_norm": 0.0703125, + "learning_rate": 0.0024537681836062793, + "loss": 1.2634, + "step": 3970 + }, + { + "epoch": 0.34853301370576895, + "grad_norm": 0.059814453125, + "learning_rate": 0.00245342739239149, + "loss": 1.2644, + "step": 3971 + }, + { + "epoch": 0.3486207832886714, + "grad_norm": 0.0791015625, + "learning_rate": 0.0024530865218815963, + "loss": 1.2404, + "step": 3972 + }, + { + "epoch": 0.3487085528715739, + "grad_norm": 0.06396484375, + "learning_rate": 0.0024527455721102404, + "loss": 1.2037, + "step": 3973 + }, + { + "epoch": 0.3487963224544764, + "grad_norm": 0.059326171875, + "learning_rate": 0.0024524045431110735, + "loss": 1.2171, + "step": 3974 + }, + { + "epoch": 0.34888409203737886, + "grad_norm": 0.060546875, + "learning_rate": 0.002452063434917752, + "loss": 1.2733, + "step": 3975 + }, + { + "epoch": 0.3489718616202814, + "grad_norm": 0.06298828125, + "learning_rate": 0.0024517222475639437, + "loss": 1.2401, + "step": 3976 + }, + { + "epoch": 0.34905963120318384, + "grad_norm": 0.07080078125, + "learning_rate": 0.0024513809810833218, + "loss": 1.3198, + "step": 3977 + }, + { + "epoch": 0.3491474007860863, + "grad_norm": 0.055419921875, + "learning_rate": 0.0024510396355095676, + "loss": 1.2371, + "step": 3978 + }, + { + "epoch": 0.3492351703689888, + "grad_norm": 0.0791015625, + "learning_rate": 0.0024506982108763718, + "loss": 1.2926, + "step": 3979 + }, + { + "epoch": 0.3493229399518913, + "grad_norm": 0.054443359375, + "learning_rate": 0.00245035670721743, + "loss": 1.2289, + "step": 3980 + }, + { + "epoch": 0.3494107095347938, + "grad_norm": 0.0830078125, + "learning_rate": 0.0024500151245664486, + "loss": 1.2357, + "step": 3981 + }, + { + "epoch": 0.34949847911769627, + "grad_norm": 0.07177734375, + "learning_rate": 0.002449673462957139, + "loss": 1.1955, + "step": 3982 + }, + { + "epoch": 0.34958624870059873, + "grad_norm": 0.0654296875, + "learning_rate": 0.002449331722423224, + "loss": 1.3234, + "step": 3983 + }, + { + "epoch": 0.34967401828350125, + "grad_norm": 0.06494140625, + "learning_rate": 0.00244898990299843, + "loss": 1.264, + "step": 3984 + }, + { + "epoch": 0.3497617878664037, + "grad_norm": 0.0693359375, + "learning_rate": 0.002448648004716494, + "loss": 1.2428, + "step": 3985 + }, + { + "epoch": 0.34984955744930624, + "grad_norm": 0.09521484375, + "learning_rate": 0.0024483060276111602, + "loss": 1.2085, + "step": 3986 + }, + { + "epoch": 0.3499373270322087, + "grad_norm": 0.07763671875, + "learning_rate": 0.0024479639717161802, + "loss": 1.2003, + "step": 3987 + }, + { + "epoch": 0.35002509661511116, + "grad_norm": 0.0947265625, + "learning_rate": 0.0024476218370653134, + "loss": 1.2714, + "step": 3988 + }, + { + "epoch": 0.3501128661980137, + "grad_norm": 0.06396484375, + "learning_rate": 0.002447279623692328, + "loss": 1.2583, + "step": 3989 + }, + { + "epoch": 0.35020063578091615, + "grad_norm": 0.0849609375, + "learning_rate": 0.002446937331630998, + "loss": 1.2962, + "step": 3990 + }, + { + "epoch": 0.3502884053638186, + "grad_norm": 0.0654296875, + "learning_rate": 0.0024465949609151065, + "loss": 1.2294, + "step": 3991 + }, + { + "epoch": 0.35037617494672113, + "grad_norm": 0.0908203125, + "learning_rate": 0.002446252511578444, + "loss": 1.2503, + "step": 3992 + }, + { + "epoch": 0.3504639445296236, + "grad_norm": 0.0771484375, + "learning_rate": 0.00244590998365481, + "loss": 1.222, + "step": 3993 + }, + { + "epoch": 0.3505517141125261, + "grad_norm": 0.06640625, + "learning_rate": 0.0024455673771780094, + "loss": 1.2856, + "step": 3994 + }, + { + "epoch": 0.3506394836954286, + "grad_norm": 0.07421875, + "learning_rate": 0.002445224692181857, + "loss": 1.2407, + "step": 3995 + }, + { + "epoch": 0.35072725327833104, + "grad_norm": 0.07958984375, + "learning_rate": 0.0024448819287001735, + "loss": 1.2514, + "step": 3996 + }, + { + "epoch": 0.35081502286123356, + "grad_norm": 0.0703125, + "learning_rate": 0.002444539086766789, + "loss": 1.2559, + "step": 3997 + }, + { + "epoch": 0.350902792444136, + "grad_norm": 0.08251953125, + "learning_rate": 0.0024441961664155402, + "loss": 1.235, + "step": 3998 + }, + { + "epoch": 0.35099056202703854, + "grad_norm": 0.11376953125, + "learning_rate": 0.0024438531676802726, + "loss": 1.2386, + "step": 3999 + }, + { + "epoch": 0.351078331609941, + "grad_norm": 0.08544921875, + "learning_rate": 0.002443510090594839, + "loss": 1.2591, + "step": 4000 + }, + { + "epoch": 0.351078331609941, + "eval_loss": 1.231809139251709, + "eval_runtime": 437.7571, + "eval_samples_per_second": 33.672, + "eval_steps_per_second": 8.418, + "step": 4000 + }, + { + "epoch": 0.35116610119284347, + "grad_norm": 0.0712890625, + "learning_rate": 0.002443166935193099, + "loss": 1.245, + "step": 4001 + }, + { + "epoch": 0.351253870775746, + "grad_norm": 0.05908203125, + "learning_rate": 0.00244282370150892, + "loss": 1.224, + "step": 4002 + }, + { + "epoch": 0.35134164035864845, + "grad_norm": 0.07421875, + "learning_rate": 0.0024424803895761794, + "loss": 1.2363, + "step": 4003 + }, + { + "epoch": 0.3514294099415509, + "grad_norm": 0.0830078125, + "learning_rate": 0.0024421369994287595, + "loss": 1.2285, + "step": 4004 + }, + { + "epoch": 0.35151717952445344, + "grad_norm": 0.07568359375, + "learning_rate": 0.0024417935311005527, + "loss": 1.2317, + "step": 4005 + }, + { + "epoch": 0.3516049491073559, + "grad_norm": 0.06103515625, + "learning_rate": 0.002441449984625457, + "loss": 1.2532, + "step": 4006 + }, + { + "epoch": 0.3516927186902584, + "grad_norm": 0.107421875, + "learning_rate": 0.00244110636003738, + "loss": 1.2155, + "step": 4007 + }, + { + "epoch": 0.3517804882731609, + "grad_norm": 0.1279296875, + "learning_rate": 0.002440762657370235, + "loss": 1.2521, + "step": 4008 + }, + { + "epoch": 0.35186825785606335, + "grad_norm": 0.0693359375, + "learning_rate": 0.0024404188766579448, + "loss": 1.26, + "step": 4009 + }, + { + "epoch": 0.35195602743896587, + "grad_norm": 0.076171875, + "learning_rate": 0.002440075017934439, + "loss": 1.2432, + "step": 4010 + }, + { + "epoch": 0.35204379702186833, + "grad_norm": 0.08349609375, + "learning_rate": 0.0024397310812336545, + "loss": 1.2226, + "step": 4011 + }, + { + "epoch": 0.35213156660477085, + "grad_norm": 0.11083984375, + "learning_rate": 0.002439387066589538, + "loss": 1.2395, + "step": 4012 + }, + { + "epoch": 0.3522193361876733, + "grad_norm": 0.076171875, + "learning_rate": 0.002439042974036041, + "loss": 1.2156, + "step": 4013 + }, + { + "epoch": 0.3523071057705758, + "grad_norm": 0.1787109375, + "learning_rate": 0.0024386988036071244, + "loss": 1.2281, + "step": 4014 + }, + { + "epoch": 0.3523948753534783, + "grad_norm": 0.06591796875, + "learning_rate": 0.002438354555336757, + "loss": 1.2281, + "step": 4015 + }, + { + "epoch": 0.35248264493638076, + "grad_norm": 0.2353515625, + "learning_rate": 0.002438010229258914, + "loss": 1.2613, + "step": 4016 + }, + { + "epoch": 0.3525704145192832, + "grad_norm": 0.059814453125, + "learning_rate": 0.0024376658254075794, + "loss": 1.2074, + "step": 4017 + }, + { + "epoch": 0.35265818410218575, + "grad_norm": 0.1689453125, + "learning_rate": 0.0024373213438167443, + "loss": 1.224, + "step": 4018 + }, + { + "epoch": 0.3527459536850882, + "grad_norm": 0.061767578125, + "learning_rate": 0.0024369767845204087, + "loss": 1.2414, + "step": 4019 + }, + { + "epoch": 0.35283372326799073, + "grad_norm": 0.09375, + "learning_rate": 0.0024366321475525776, + "loss": 1.2477, + "step": 4020 + }, + { + "epoch": 0.3529214928508932, + "grad_norm": 0.055419921875, + "learning_rate": 0.0024362874329472667, + "loss": 1.1795, + "step": 4021 + }, + { + "epoch": 0.35300926243379566, + "grad_norm": 0.09130859375, + "learning_rate": 0.0024359426407384965, + "loss": 1.2714, + "step": 4022 + }, + { + "epoch": 0.3530970320166982, + "grad_norm": 0.06494140625, + "learning_rate": 0.002435597770960298, + "loss": 1.3021, + "step": 4023 + }, + { + "epoch": 0.35318480159960064, + "grad_norm": 0.08740234375, + "learning_rate": 0.0024352528236467083, + "loss": 1.2611, + "step": 4024 + }, + { + "epoch": 0.35327257118250316, + "grad_norm": 0.068359375, + "learning_rate": 0.002434907798831771, + "loss": 1.2246, + "step": 4025 + }, + { + "epoch": 0.3533603407654056, + "grad_norm": 0.0703125, + "learning_rate": 0.0024345626965495406, + "loss": 1.2471, + "step": 4026 + }, + { + "epoch": 0.3534481103483081, + "grad_norm": 0.054931640625, + "learning_rate": 0.002434217516834076, + "loss": 1.2298, + "step": 4027 + }, + { + "epoch": 0.3535358799312106, + "grad_norm": 0.09130859375, + "learning_rate": 0.0024338722597194457, + "loss": 1.2836, + "step": 4028 + }, + { + "epoch": 0.35362364951411307, + "grad_norm": 0.07080078125, + "learning_rate": 0.0024335269252397248, + "loss": 1.2222, + "step": 4029 + }, + { + "epoch": 0.35371141909701553, + "grad_norm": 0.09228515625, + "learning_rate": 0.0024331815134289968, + "loss": 1.2627, + "step": 4030 + }, + { + "epoch": 0.35379918867991805, + "grad_norm": 0.07373046875, + "learning_rate": 0.0024328360243213525, + "loss": 1.2837, + "step": 4031 + }, + { + "epoch": 0.3538869582628205, + "grad_norm": 0.1220703125, + "learning_rate": 0.0024324904579508893, + "loss": 1.2379, + "step": 4032 + }, + { + "epoch": 0.35397472784572304, + "grad_norm": 0.119140625, + "learning_rate": 0.0024321448143517148, + "loss": 1.2551, + "step": 4033 + }, + { + "epoch": 0.3540624974286255, + "grad_norm": 0.10302734375, + "learning_rate": 0.002431799093557942, + "loss": 1.2164, + "step": 4034 + }, + { + "epoch": 0.35415026701152796, + "grad_norm": 0.0859375, + "learning_rate": 0.0024314532956036914, + "loss": 1.2226, + "step": 4035 + }, + { + "epoch": 0.3542380365944305, + "grad_norm": 0.1181640625, + "learning_rate": 0.0024311074205230934, + "loss": 1.2372, + "step": 4036 + }, + { + "epoch": 0.35432580617733295, + "grad_norm": 0.103515625, + "learning_rate": 0.0024307614683502826, + "loss": 1.3279, + "step": 4037 + }, + { + "epoch": 0.35441357576023547, + "grad_norm": 0.0654296875, + "learning_rate": 0.002430415439119405, + "loss": 1.2822, + "step": 4038 + }, + { + "epoch": 0.35450134534313793, + "grad_norm": 0.06689453125, + "learning_rate": 0.0024300693328646117, + "loss": 1.2036, + "step": 4039 + }, + { + "epoch": 0.3545891149260404, + "grad_norm": 0.083984375, + "learning_rate": 0.002429723149620061, + "loss": 1.2444, + "step": 4040 + }, + { + "epoch": 0.3546768845089429, + "grad_norm": 0.07421875, + "learning_rate": 0.002429376889419922, + "loss": 1.2753, + "step": 4041 + }, + { + "epoch": 0.3547646540918454, + "grad_norm": 0.0693359375, + "learning_rate": 0.0024290305522983663, + "loss": 1.2824, + "step": 4042 + }, + { + "epoch": 0.35485242367474784, + "grad_norm": 0.0947265625, + "learning_rate": 0.002428684138289578, + "loss": 1.2159, + "step": 4043 + }, + { + "epoch": 0.35494019325765036, + "grad_norm": 0.07666015625, + "learning_rate": 0.002428337647427747, + "loss": 1.2922, + "step": 4044 + }, + { + "epoch": 0.3550279628405528, + "grad_norm": 0.1669921875, + "learning_rate": 0.002427991079747069, + "loss": 1.2521, + "step": 4045 + }, + { + "epoch": 0.35511573242345534, + "grad_norm": 0.0615234375, + "learning_rate": 0.002427644435281751, + "loss": 1.2519, + "step": 4046 + }, + { + "epoch": 0.3552035020063578, + "grad_norm": 0.0908203125, + "learning_rate": 0.0024272977140660035, + "loss": 1.3237, + "step": 4047 + }, + { + "epoch": 0.35529127158926027, + "grad_norm": 0.062255859375, + "learning_rate": 0.0024269509161340473, + "loss": 1.215, + "step": 4048 + }, + { + "epoch": 0.3553790411721628, + "grad_norm": 0.10546875, + "learning_rate": 0.00242660404152011, + "loss": 1.2304, + "step": 4049 + }, + { + "epoch": 0.35546681075506525, + "grad_norm": 0.12158203125, + "learning_rate": 0.0024262570902584264, + "loss": 1.3023, + "step": 4050 + }, + { + "epoch": 0.3555545803379678, + "grad_norm": 0.06982421875, + "learning_rate": 0.0024259100623832395, + "loss": 1.2725, + "step": 4051 + }, + { + "epoch": 0.35564234992087024, + "grad_norm": 0.0712890625, + "learning_rate": 0.0024255629579287997, + "loss": 1.1885, + "step": 4052 + }, + { + "epoch": 0.3557301195037727, + "grad_norm": 0.07666015625, + "learning_rate": 0.0024252157769293647, + "loss": 1.2408, + "step": 4053 + }, + { + "epoch": 0.3558178890866752, + "grad_norm": 0.08447265625, + "learning_rate": 0.0024248685194191997, + "loss": 1.2666, + "step": 4054 + }, + { + "epoch": 0.3559056586695777, + "grad_norm": 0.07666015625, + "learning_rate": 0.002424521185432578, + "loss": 1.2805, + "step": 4055 + }, + { + "epoch": 0.3559934282524802, + "grad_norm": 0.06640625, + "learning_rate": 0.00242417377500378, + "loss": 1.2469, + "step": 4056 + }, + { + "epoch": 0.35608119783538267, + "grad_norm": 0.06103515625, + "learning_rate": 0.0024238262881670935, + "loss": 1.2282, + "step": 4057 + }, + { + "epoch": 0.35616896741828513, + "grad_norm": 0.07861328125, + "learning_rate": 0.0024234787249568144, + "loss": 1.2184, + "step": 4058 + }, + { + "epoch": 0.35625673700118765, + "grad_norm": 0.0751953125, + "learning_rate": 0.0024231310854072458, + "loss": 1.3039, + "step": 4059 + }, + { + "epoch": 0.3563445065840901, + "grad_norm": 0.0791015625, + "learning_rate": 0.002422783369552698, + "loss": 1.2545, + "step": 4060 + }, + { + "epoch": 0.3564322761669926, + "grad_norm": 0.0810546875, + "learning_rate": 0.002422435577427489, + "loss": 1.2207, + "step": 4061 + }, + { + "epoch": 0.3565200457498951, + "grad_norm": 0.06884765625, + "learning_rate": 0.002422087709065945, + "loss": 1.2464, + "step": 4062 + }, + { + "epoch": 0.35660781533279756, + "grad_norm": 0.103515625, + "learning_rate": 0.0024217397645023998, + "loss": 1.2484, + "step": 4063 + }, + { + "epoch": 0.3566955849157001, + "grad_norm": 0.06591796875, + "learning_rate": 0.0024213917437711932, + "loss": 1.2868, + "step": 4064 + }, + { + "epoch": 0.35678335449860255, + "grad_norm": 0.06689453125, + "learning_rate": 0.002421043646906673, + "loss": 1.2181, + "step": 4065 + }, + { + "epoch": 0.356871124081505, + "grad_norm": 0.0576171875, + "learning_rate": 0.002420695473943197, + "loss": 1.28, + "step": 4066 + }, + { + "epoch": 0.35695889366440753, + "grad_norm": 0.0810546875, + "learning_rate": 0.0024203472249151262, + "loss": 1.2527, + "step": 4067 + }, + { + "epoch": 0.35704666324731, + "grad_norm": 0.0927734375, + "learning_rate": 0.0024199988998568323, + "loss": 1.1978, + "step": 4068 + }, + { + "epoch": 0.3571344328302125, + "grad_norm": 0.06396484375, + "learning_rate": 0.0024196504988026946, + "loss": 1.2356, + "step": 4069 + }, + { + "epoch": 0.357222202413115, + "grad_norm": 0.09912109375, + "learning_rate": 0.002419302021787097, + "loss": 1.2529, + "step": 4070 + }, + { + "epoch": 0.35730997199601744, + "grad_norm": 0.055419921875, + "learning_rate": 0.0024189534688444344, + "loss": 1.2146, + "step": 4071 + }, + { + "epoch": 0.35739774157891996, + "grad_norm": 0.150390625, + "learning_rate": 0.0024186048400091074, + "loss": 1.2665, + "step": 4072 + }, + { + "epoch": 0.3574855111618224, + "grad_norm": 0.061767578125, + "learning_rate": 0.0024182561353155232, + "loss": 1.2542, + "step": 4073 + }, + { + "epoch": 0.3575732807447249, + "grad_norm": 0.1376953125, + "learning_rate": 0.0024179073547980984, + "loss": 1.1837, + "step": 4074 + }, + { + "epoch": 0.3576610503276274, + "grad_norm": 0.1328125, + "learning_rate": 0.0024175584984912563, + "loss": 1.255, + "step": 4075 + }, + { + "epoch": 0.35774881991052987, + "grad_norm": 0.1728515625, + "learning_rate": 0.0024172095664294277, + "loss": 1.2374, + "step": 4076 + }, + { + "epoch": 0.3578365894934324, + "grad_norm": 0.080078125, + "learning_rate": 0.0024168605586470503, + "loss": 1.2498, + "step": 4077 + }, + { + "epoch": 0.35792435907633485, + "grad_norm": 0.12158203125, + "learning_rate": 0.00241651147517857, + "loss": 1.2039, + "step": 4078 + }, + { + "epoch": 0.3580121286592373, + "grad_norm": 0.064453125, + "learning_rate": 0.00241616231605844, + "loss": 1.199, + "step": 4079 + }, + { + "epoch": 0.35809989824213984, + "grad_norm": 0.11279296875, + "learning_rate": 0.0024158130813211214, + "loss": 1.2975, + "step": 4080 + }, + { + "epoch": 0.3581876678250423, + "grad_norm": 0.064453125, + "learning_rate": 0.0024154637710010816, + "loss": 1.2954, + "step": 4081 + }, + { + "epoch": 0.3582754374079448, + "grad_norm": 0.115234375, + "learning_rate": 0.0024151143851327966, + "loss": 1.2048, + "step": 4082 + }, + { + "epoch": 0.3583632069908473, + "grad_norm": 0.06982421875, + "learning_rate": 0.0024147649237507484, + "loss": 1.2391, + "step": 4083 + }, + { + "epoch": 0.35845097657374975, + "grad_norm": 0.103515625, + "learning_rate": 0.002414415386889429, + "loss": 1.2503, + "step": 4084 + }, + { + "epoch": 0.35853874615665227, + "grad_norm": 0.0927734375, + "learning_rate": 0.0024140657745833354, + "loss": 1.2714, + "step": 4085 + }, + { + "epoch": 0.35862651573955473, + "grad_norm": 0.09228515625, + "learning_rate": 0.002413716086866973, + "loss": 1.198, + "step": 4086 + }, + { + "epoch": 0.3587142853224572, + "grad_norm": 0.060302734375, + "learning_rate": 0.0024133663237748547, + "loss": 1.1928, + "step": 4087 + }, + { + "epoch": 0.3588020549053597, + "grad_norm": 0.056396484375, + "learning_rate": 0.0024130164853415005, + "loss": 1.2913, + "step": 4088 + }, + { + "epoch": 0.3588898244882622, + "grad_norm": 0.06884765625, + "learning_rate": 0.002412666571601439, + "loss": 1.2147, + "step": 4089 + }, + { + "epoch": 0.3589775940711647, + "grad_norm": 0.07666015625, + "learning_rate": 0.002412316582589204, + "loss": 1.263, + "step": 4090 + }, + { + "epoch": 0.35906536365406716, + "grad_norm": 0.09423828125, + "learning_rate": 0.002411966518339339, + "loss": 1.2843, + "step": 4091 + }, + { + "epoch": 0.3591531332369696, + "grad_norm": 0.053955078125, + "learning_rate": 0.0024116163788863933, + "loss": 1.2045, + "step": 4092 + }, + { + "epoch": 0.35924090281987214, + "grad_norm": 0.06689453125, + "learning_rate": 0.002411266164264925, + "loss": 1.2543, + "step": 4093 + }, + { + "epoch": 0.3593286724027746, + "grad_norm": 0.07373046875, + "learning_rate": 0.002410915874509498, + "loss": 1.161, + "step": 4094 + }, + { + "epoch": 0.3594164419856771, + "grad_norm": 0.0654296875, + "learning_rate": 0.0024105655096546847, + "loss": 1.2318, + "step": 4095 + }, + { + "epoch": 0.3595042115685796, + "grad_norm": 0.0869140625, + "learning_rate": 0.002410215069735066, + "loss": 1.217, + "step": 4096 + }, + { + "epoch": 0.35959198115148205, + "grad_norm": 0.055419921875, + "learning_rate": 0.002409864554785227, + "loss": 1.2116, + "step": 4097 + }, + { + "epoch": 0.3596797507343846, + "grad_norm": 0.07373046875, + "learning_rate": 0.002409513964839764, + "loss": 1.2582, + "step": 4098 + }, + { + "epoch": 0.35976752031728704, + "grad_norm": 0.099609375, + "learning_rate": 0.002409163299933277, + "loss": 1.221, + "step": 4099 + }, + { + "epoch": 0.3598552899001895, + "grad_norm": 0.0810546875, + "learning_rate": 0.0024088125601003764, + "loss": 1.1779, + "step": 4100 + }, + { + "epoch": 0.359943059483092, + "grad_norm": 0.11279296875, + "learning_rate": 0.0024084617453756785, + "loss": 1.2669, + "step": 4101 + }, + { + "epoch": 0.3600308290659945, + "grad_norm": 0.08203125, + "learning_rate": 0.002408110855793808, + "loss": 1.2777, + "step": 4102 + }, + { + "epoch": 0.360118598648897, + "grad_norm": 0.08349609375, + "learning_rate": 0.002407759891389395, + "loss": 1.2349, + "step": 4103 + }, + { + "epoch": 0.36020636823179947, + "grad_norm": 0.06201171875, + "learning_rate": 0.0024074088521970796, + "loss": 1.2044, + "step": 4104 + }, + { + "epoch": 0.36029413781470193, + "grad_norm": 0.060302734375, + "learning_rate": 0.002407057738251507, + "loss": 1.1874, + "step": 4105 + }, + { + "epoch": 0.36038190739760445, + "grad_norm": 0.0615234375, + "learning_rate": 0.002406706549587331, + "loss": 1.1814, + "step": 4106 + }, + { + "epoch": 0.3604696769805069, + "grad_norm": 0.06005859375, + "learning_rate": 0.0024063552862392135, + "loss": 1.2386, + "step": 4107 + }, + { + "epoch": 0.36055744656340943, + "grad_norm": 0.072265625, + "learning_rate": 0.0024060039482418213, + "loss": 1.2671, + "step": 4108 + }, + { + "epoch": 0.3606452161463119, + "grad_norm": 0.064453125, + "learning_rate": 0.002405652535629831, + "loss": 1.1842, + "step": 4109 + }, + { + "epoch": 0.36073298572921436, + "grad_norm": 0.05615234375, + "learning_rate": 0.0024053010484379254, + "loss": 1.2425, + "step": 4110 + }, + { + "epoch": 0.3608207553121169, + "grad_norm": 0.0830078125, + "learning_rate": 0.0024049494867007947, + "loss": 1.2358, + "step": 4111 + }, + { + "epoch": 0.36090852489501934, + "grad_norm": 0.06640625, + "learning_rate": 0.0024045978504531377, + "loss": 1.3355, + "step": 4112 + }, + { + "epoch": 0.3609962944779218, + "grad_norm": 0.07177734375, + "learning_rate": 0.0024042461397296576, + "loss": 1.2573, + "step": 4113 + }, + { + "epoch": 0.36108406406082433, + "grad_norm": 0.0732421875, + "learning_rate": 0.0024038943545650684, + "loss": 1.2416, + "step": 4114 + }, + { + "epoch": 0.3611718336437268, + "grad_norm": 0.06298828125, + "learning_rate": 0.002403542494994089, + "loss": 1.28, + "step": 4115 + }, + { + "epoch": 0.3612596032266293, + "grad_norm": 0.0654296875, + "learning_rate": 0.0024031905610514474, + "loss": 1.26, + "step": 4116 + }, + { + "epoch": 0.3613473728095318, + "grad_norm": 0.06005859375, + "learning_rate": 0.0024028385527718778, + "loss": 1.2549, + "step": 4117 + }, + { + "epoch": 0.36143514239243424, + "grad_norm": 0.0654296875, + "learning_rate": 0.0024024864701901213, + "loss": 1.2275, + "step": 4118 + }, + { + "epoch": 0.36152291197533676, + "grad_norm": 0.07177734375, + "learning_rate": 0.002402134313340928, + "loss": 1.2519, + "step": 4119 + }, + { + "epoch": 0.3616106815582392, + "grad_norm": 0.0654296875, + "learning_rate": 0.002401782082259054, + "loss": 1.3033, + "step": 4120 + }, + { + "epoch": 0.36169845114114174, + "grad_norm": 0.08154296875, + "learning_rate": 0.002401429776979263, + "loss": 1.2646, + "step": 4121 + }, + { + "epoch": 0.3617862207240442, + "grad_norm": 0.0849609375, + "learning_rate": 0.0024010773975363265, + "loss": 1.2315, + "step": 4122 + }, + { + "epoch": 0.36187399030694667, + "grad_norm": 0.061767578125, + "learning_rate": 0.002400724943965022, + "loss": 1.2356, + "step": 4123 + }, + { + "epoch": 0.3619617598898492, + "grad_norm": 0.08203125, + "learning_rate": 0.0024003724163001367, + "loss": 1.2315, + "step": 4124 + }, + { + "epoch": 0.36204952947275165, + "grad_norm": 0.06298828125, + "learning_rate": 0.0024000198145764633, + "loss": 1.2166, + "step": 4125 + }, + { + "epoch": 0.36213729905565417, + "grad_norm": 0.1357421875, + "learning_rate": 0.002399667138828801, + "loss": 1.2421, + "step": 4126 + }, + { + "epoch": 0.36222506863855664, + "grad_norm": 0.09912109375, + "learning_rate": 0.0023993143890919592, + "loss": 1.3185, + "step": 4127 + }, + { + "epoch": 0.3623128382214591, + "grad_norm": 0.1005859375, + "learning_rate": 0.002398961565400751, + "loss": 1.2335, + "step": 4128 + }, + { + "epoch": 0.3624006078043616, + "grad_norm": 0.0869140625, + "learning_rate": 0.0023986086677900012, + "loss": 1.2527, + "step": 4129 + }, + { + "epoch": 0.3624883773872641, + "grad_norm": 0.07958984375, + "learning_rate": 0.002398255696294537, + "loss": 1.211, + "step": 4130 + }, + { + "epoch": 0.36257614697016655, + "grad_norm": 0.07861328125, + "learning_rate": 0.0023979026509491964, + "loss": 1.2183, + "step": 4131 + }, + { + "epoch": 0.36266391655306907, + "grad_norm": 0.0654296875, + "learning_rate": 0.002397549531788824, + "loss": 1.295, + "step": 4132 + }, + { + "epoch": 0.36275168613597153, + "grad_norm": 0.1015625, + "learning_rate": 0.0023971963388482705, + "loss": 1.2466, + "step": 4133 + }, + { + "epoch": 0.36283945571887405, + "grad_norm": 0.068359375, + "learning_rate": 0.002396843072162394, + "loss": 1.1935, + "step": 4134 + }, + { + "epoch": 0.3629272253017765, + "grad_norm": 0.0830078125, + "learning_rate": 0.0023964897317660626, + "loss": 1.2423, + "step": 4135 + }, + { + "epoch": 0.363014994884679, + "grad_norm": 0.07275390625, + "learning_rate": 0.0023961363176941476, + "loss": 1.2789, + "step": 4136 + }, + { + "epoch": 0.3631027644675815, + "grad_norm": 0.0703125, + "learning_rate": 0.0023957828299815305, + "loss": 1.3001, + "step": 4137 + }, + { + "epoch": 0.36319053405048396, + "grad_norm": 0.078125, + "learning_rate": 0.0023954292686630993, + "loss": 1.2591, + "step": 4138 + }, + { + "epoch": 0.3632783036333865, + "grad_norm": 0.06640625, + "learning_rate": 0.0023950756337737483, + "loss": 1.2397, + "step": 4139 + }, + { + "epoch": 0.36336607321628894, + "grad_norm": 0.08642578125, + "learning_rate": 0.002394721925348381, + "loss": 1.2071, + "step": 4140 + }, + { + "epoch": 0.3634538427991914, + "grad_norm": 0.1015625, + "learning_rate": 0.002394368143421906, + "loss": 1.2525, + "step": 4141 + }, + { + "epoch": 0.3635416123820939, + "grad_norm": 0.07861328125, + "learning_rate": 0.00239401428802924, + "loss": 1.2249, + "step": 4142 + }, + { + "epoch": 0.3636293819649964, + "grad_norm": 0.15234375, + "learning_rate": 0.002393660359205309, + "loss": 1.2805, + "step": 4143 + }, + { + "epoch": 0.36371715154789885, + "grad_norm": 0.06298828125, + "learning_rate": 0.0023933063569850418, + "loss": 1.2329, + "step": 4144 + }, + { + "epoch": 0.3638049211308014, + "grad_norm": 0.1396484375, + "learning_rate": 0.002392952281403379, + "loss": 1.2505, + "step": 4145 + }, + { + "epoch": 0.36389269071370384, + "grad_norm": 0.0615234375, + "learning_rate": 0.0023925981324952653, + "loss": 1.2752, + "step": 4146 + }, + { + "epoch": 0.36398046029660636, + "grad_norm": 0.0859375, + "learning_rate": 0.002392243910295655, + "loss": 1.2574, + "step": 4147 + }, + { + "epoch": 0.3640682298795088, + "grad_norm": 0.06787109375, + "learning_rate": 0.0023918896148395073, + "loss": 1.2714, + "step": 4148 + }, + { + "epoch": 0.3641559994624113, + "grad_norm": 0.08447265625, + "learning_rate": 0.00239153524616179, + "loss": 1.2251, + "step": 4149 + }, + { + "epoch": 0.3642437690453138, + "grad_norm": 0.10498046875, + "learning_rate": 0.002391180804297478, + "loss": 1.2744, + "step": 4150 + }, + { + "epoch": 0.36433153862821627, + "grad_norm": 0.0625, + "learning_rate": 0.002390826289281553, + "loss": 1.278, + "step": 4151 + }, + { + "epoch": 0.3644193082111188, + "grad_norm": 0.0751953125, + "learning_rate": 0.002390471701149005, + "loss": 1.1991, + "step": 4152 + }, + { + "epoch": 0.36450707779402125, + "grad_norm": 0.068359375, + "learning_rate": 0.00239011703993483, + "loss": 1.2535, + "step": 4153 + }, + { + "epoch": 0.3645948473769237, + "grad_norm": 0.08154296875, + "learning_rate": 0.002389762305674032, + "loss": 1.1837, + "step": 4154 + }, + { + "epoch": 0.36468261695982623, + "grad_norm": 0.058837890625, + "learning_rate": 0.002389407498401621, + "loss": 1.1859, + "step": 4155 + }, + { + "epoch": 0.3647703865427287, + "grad_norm": 0.06591796875, + "learning_rate": 0.0023890526181526155, + "loss": 1.2375, + "step": 4156 + }, + { + "epoch": 0.36485815612563116, + "grad_norm": 0.07177734375, + "learning_rate": 0.002388697664962041, + "loss": 1.2295, + "step": 4157 + }, + { + "epoch": 0.3649459257085337, + "grad_norm": 0.0908203125, + "learning_rate": 0.0023883426388649296, + "loss": 1.2605, + "step": 4158 + }, + { + "epoch": 0.36503369529143614, + "grad_norm": 0.09521484375, + "learning_rate": 0.0023879875398963215, + "loss": 1.2524, + "step": 4159 + }, + { + "epoch": 0.36512146487433866, + "grad_norm": 0.0732421875, + "learning_rate": 0.0023876323680912634, + "loss": 1.2105, + "step": 4160 + }, + { + "epoch": 0.3652092344572411, + "grad_norm": 0.1240234375, + "learning_rate": 0.002387277123484809, + "loss": 1.2107, + "step": 4161 + }, + { + "epoch": 0.3652970040401436, + "grad_norm": 0.0595703125, + "learning_rate": 0.00238692180611202, + "loss": 1.2112, + "step": 4162 + }, + { + "epoch": 0.3653847736230461, + "grad_norm": 0.154296875, + "learning_rate": 0.0023865664160079643, + "loss": 1.2372, + "step": 4163 + }, + { + "epoch": 0.3654725432059486, + "grad_norm": 0.06591796875, + "learning_rate": 0.0023862109532077178, + "loss": 1.225, + "step": 4164 + }, + { + "epoch": 0.3655603127888511, + "grad_norm": 0.1630859375, + "learning_rate": 0.0023858554177463636, + "loss": 1.2303, + "step": 4165 + }, + { + "epoch": 0.36564808237175356, + "grad_norm": 0.07958984375, + "learning_rate": 0.002385499809658991, + "loss": 1.2478, + "step": 4166 + }, + { + "epoch": 0.365735851954656, + "grad_norm": 0.142578125, + "learning_rate": 0.0023851441289806977, + "loss": 1.2062, + "step": 4167 + }, + { + "epoch": 0.36582362153755854, + "grad_norm": 0.10986328125, + "learning_rate": 0.002384788375746587, + "loss": 1.288, + "step": 4168 + }, + { + "epoch": 0.365911391120461, + "grad_norm": 0.08740234375, + "learning_rate": 0.002384432549991772, + "loss": 1.1998, + "step": 4169 + }, + { + "epoch": 0.36599916070336347, + "grad_norm": 0.0947265625, + "learning_rate": 0.0023840766517513696, + "loss": 1.1492, + "step": 4170 + }, + { + "epoch": 0.366086930286266, + "grad_norm": 0.07568359375, + "learning_rate": 0.0023837206810605072, + "loss": 1.2296, + "step": 4171 + }, + { + "epoch": 0.36617469986916845, + "grad_norm": 0.11865234375, + "learning_rate": 0.002383364637954316, + "loss": 1.255, + "step": 4172 + }, + { + "epoch": 0.36626246945207097, + "grad_norm": 0.06787109375, + "learning_rate": 0.0023830085224679364, + "loss": 1.2206, + "step": 4173 + }, + { + "epoch": 0.36635023903497344, + "grad_norm": 0.07763671875, + "learning_rate": 0.0023826523346365167, + "loss": 1.2389, + "step": 4174 + }, + { + "epoch": 0.3664380086178759, + "grad_norm": 0.0732421875, + "learning_rate": 0.0023822960744952102, + "loss": 1.2005, + "step": 4175 + }, + { + "epoch": 0.3665257782007784, + "grad_norm": 0.062255859375, + "learning_rate": 0.002381939742079179, + "loss": 1.2614, + "step": 4176 + }, + { + "epoch": 0.3666135477836809, + "grad_norm": 0.068359375, + "learning_rate": 0.0023815833374235913, + "loss": 1.2504, + "step": 4177 + }, + { + "epoch": 0.3667013173665834, + "grad_norm": 0.05908203125, + "learning_rate": 0.0023812268605636227, + "loss": 1.2672, + "step": 4178 + }, + { + "epoch": 0.36678908694948587, + "grad_norm": 0.06103515625, + "learning_rate": 0.002380870311534457, + "loss": 1.218, + "step": 4179 + }, + { + "epoch": 0.36687685653238833, + "grad_norm": 0.06298828125, + "learning_rate": 0.002380513690371282, + "loss": 1.2576, + "step": 4180 + }, + { + "epoch": 0.36696462611529085, + "grad_norm": 0.0732421875, + "learning_rate": 0.0023801569971092975, + "loss": 1.2075, + "step": 4181 + }, + { + "epoch": 0.3670523956981933, + "grad_norm": 0.06787109375, + "learning_rate": 0.0023798002317837064, + "loss": 1.1908, + "step": 4182 + }, + { + "epoch": 0.3671401652810958, + "grad_norm": 0.08984375, + "learning_rate": 0.0023794433944297195, + "loss": 1.2342, + "step": 4183 + }, + { + "epoch": 0.3672279348639983, + "grad_norm": 0.0654296875, + "learning_rate": 0.0023790864850825565, + "loss": 1.2217, + "step": 4184 + }, + { + "epoch": 0.36731570444690076, + "grad_norm": 0.10107421875, + "learning_rate": 0.0023787295037774416, + "loss": 1.2061, + "step": 4185 + }, + { + "epoch": 0.3674034740298033, + "grad_norm": 0.06396484375, + "learning_rate": 0.002378372450549609, + "loss": 1.2169, + "step": 4186 + }, + { + "epoch": 0.36749124361270574, + "grad_norm": 0.083984375, + "learning_rate": 0.002378015325434297, + "loss": 1.2281, + "step": 4187 + }, + { + "epoch": 0.3675790131956082, + "grad_norm": 0.07421875, + "learning_rate": 0.002377658128466753, + "loss": 1.254, + "step": 4188 + }, + { + "epoch": 0.3676667827785107, + "grad_norm": 0.1123046875, + "learning_rate": 0.0023773008596822305, + "loss": 1.248, + "step": 4189 + }, + { + "epoch": 0.3677545523614132, + "grad_norm": 0.123046875, + "learning_rate": 0.0023769435191159914, + "loss": 1.2221, + "step": 4190 + }, + { + "epoch": 0.3678423219443157, + "grad_norm": 0.11376953125, + "learning_rate": 0.002376586106803303, + "loss": 1.235, + "step": 4191 + }, + { + "epoch": 0.3679300915272182, + "grad_norm": 0.162109375, + "learning_rate": 0.002376228622779441, + "loss": 1.277, + "step": 4192 + }, + { + "epoch": 0.36801786111012064, + "grad_norm": 0.10400390625, + "learning_rate": 0.002375871067079688, + "loss": 1.2448, + "step": 4193 + }, + { + "epoch": 0.36810563069302316, + "grad_norm": 0.203125, + "learning_rate": 0.002375513439739332, + "loss": 1.2459, + "step": 4194 + }, + { + "epoch": 0.3681934002759256, + "grad_norm": 0.062255859375, + "learning_rate": 0.002375155740793671, + "loss": 1.2039, + "step": 4195 + }, + { + "epoch": 0.36828116985882814, + "grad_norm": 0.09716796875, + "learning_rate": 0.0023747979702780074, + "loss": 1.2531, + "step": 4196 + }, + { + "epoch": 0.3683689394417306, + "grad_norm": 0.06103515625, + "learning_rate": 0.002374440128227652, + "loss": 1.1952, + "step": 4197 + }, + { + "epoch": 0.36845670902463307, + "grad_norm": 0.055908203125, + "learning_rate": 0.002374082214677922, + "loss": 1.2274, + "step": 4198 + }, + { + "epoch": 0.3685444786075356, + "grad_norm": 0.0732421875, + "learning_rate": 0.002373724229664143, + "loss": 1.2187, + "step": 4199 + }, + { + "epoch": 0.36863224819043805, + "grad_norm": 0.0634765625, + "learning_rate": 0.0023733661732216454, + "loss": 1.2288, + "step": 4200 + }, + { + "epoch": 0.3687200177733405, + "grad_norm": 0.06982421875, + "learning_rate": 0.0023730080453857696, + "loss": 1.2258, + "step": 4201 + }, + { + "epoch": 0.36880778735624303, + "grad_norm": 0.076171875, + "learning_rate": 0.00237264984619186, + "loss": 1.2233, + "step": 4202 + }, + { + "epoch": 0.3688955569391455, + "grad_norm": 0.06298828125, + "learning_rate": 0.00237229157567527, + "loss": 1.2184, + "step": 4203 + }, + { + "epoch": 0.368983326522048, + "grad_norm": 0.07275390625, + "learning_rate": 0.002371933233871359, + "loss": 1.236, + "step": 4204 + }, + { + "epoch": 0.3690710961049505, + "grad_norm": 0.064453125, + "learning_rate": 0.0023715748208154954, + "loss": 1.267, + "step": 4205 + }, + { + "epoch": 0.36915886568785294, + "grad_norm": 0.06591796875, + "learning_rate": 0.002371216336543052, + "loss": 1.229, + "step": 4206 + }, + { + "epoch": 0.36924663527075546, + "grad_norm": 0.0673828125, + "learning_rate": 0.0023708577810894094, + "loss": 1.2855, + "step": 4207 + }, + { + "epoch": 0.3693344048536579, + "grad_norm": 0.06884765625, + "learning_rate": 0.0023704991544899563, + "loss": 1.1887, + "step": 4208 + }, + { + "epoch": 0.36942217443656045, + "grad_norm": 0.1982421875, + "learning_rate": 0.002370140456780087, + "loss": 1.3129, + "step": 4209 + }, + { + "epoch": 0.3695099440194629, + "grad_norm": 0.09716796875, + "learning_rate": 0.0023697816879952047, + "loss": 1.2225, + "step": 4210 + }, + { + "epoch": 0.3695977136023654, + "grad_norm": 0.12109375, + "learning_rate": 0.0023694228481707176, + "loss": 1.2051, + "step": 4211 + }, + { + "epoch": 0.3696854831852679, + "grad_norm": 0.0703125, + "learning_rate": 0.002369063937342042, + "loss": 1.233, + "step": 4212 + }, + { + "epoch": 0.36977325276817036, + "grad_norm": 0.1259765625, + "learning_rate": 0.0023687049555446015, + "loss": 1.2264, + "step": 4213 + }, + { + "epoch": 0.3698610223510728, + "grad_norm": 0.06640625, + "learning_rate": 0.0023683459028138246, + "loss": 1.2295, + "step": 4214 + }, + { + "epoch": 0.36994879193397534, + "grad_norm": 0.12353515625, + "learning_rate": 0.0023679867791851503, + "loss": 1.2069, + "step": 4215 + }, + { + "epoch": 0.3700365615168778, + "grad_norm": 0.06689453125, + "learning_rate": 0.0023676275846940213, + "loss": 1.1983, + "step": 4216 + }, + { + "epoch": 0.3701243310997803, + "grad_norm": 0.11865234375, + "learning_rate": 0.0023672683193758895, + "loss": 1.209, + "step": 4217 + }, + { + "epoch": 0.3702121006826828, + "grad_norm": 0.0625, + "learning_rate": 0.002366908983266213, + "loss": 1.249, + "step": 4218 + }, + { + "epoch": 0.37029987026558525, + "grad_norm": 0.1337890625, + "learning_rate": 0.002366549576400456, + "loss": 1.3026, + "step": 4219 + }, + { + "epoch": 0.37038763984848777, + "grad_norm": 0.09619140625, + "learning_rate": 0.0023661900988140912, + "loss": 1.2213, + "step": 4220 + }, + { + "epoch": 0.37047540943139023, + "grad_norm": 0.10693359375, + "learning_rate": 0.0023658305505425974, + "loss": 1.2299, + "step": 4221 + }, + { + "epoch": 0.37056317901429275, + "grad_norm": 0.0634765625, + "learning_rate": 0.0023654709316214603, + "loss": 1.2675, + "step": 4222 + }, + { + "epoch": 0.3706509485971952, + "grad_norm": 0.07958984375, + "learning_rate": 0.002365111242086174, + "loss": 1.2052, + "step": 4223 + }, + { + "epoch": 0.3707387181800977, + "grad_norm": 0.06591796875, + "learning_rate": 0.0023647514819722373, + "loss": 1.2471, + "step": 4224 + }, + { + "epoch": 0.3708264877630002, + "grad_norm": 0.0625, + "learning_rate": 0.002364391651315157, + "loss": 1.2203, + "step": 4225 + }, + { + "epoch": 0.37091425734590266, + "grad_norm": 0.09521484375, + "learning_rate": 0.0023640317501504486, + "loss": 1.2612, + "step": 4226 + }, + { + "epoch": 0.37100202692880513, + "grad_norm": 0.080078125, + "learning_rate": 0.0023636717785136306, + "loss": 1.2579, + "step": 4227 + }, + { + "epoch": 0.37108979651170765, + "grad_norm": 0.06982421875, + "learning_rate": 0.002363311736440232, + "loss": 1.2167, + "step": 4228 + }, + { + "epoch": 0.3711775660946101, + "grad_norm": 0.07666015625, + "learning_rate": 0.0023629516239657886, + "loss": 1.25, + "step": 4229 + }, + { + "epoch": 0.37126533567751263, + "grad_norm": 0.0947265625, + "learning_rate": 0.00236259144112584, + "loss": 1.3032, + "step": 4230 + }, + { + "epoch": 0.3713531052604151, + "grad_norm": 0.072265625, + "learning_rate": 0.0023622311879559358, + "loss": 1.2754, + "step": 4231 + }, + { + "epoch": 0.37144087484331756, + "grad_norm": 0.11376953125, + "learning_rate": 0.0023618708644916313, + "loss": 1.2418, + "step": 4232 + }, + { + "epoch": 0.3715286444262201, + "grad_norm": 0.06787109375, + "learning_rate": 0.0023615104707684896, + "loss": 1.2513, + "step": 4233 + }, + { + "epoch": 0.37161641400912254, + "grad_norm": 0.154296875, + "learning_rate": 0.002361150006822079, + "loss": 1.2833, + "step": 4234 + }, + { + "epoch": 0.37170418359202506, + "grad_norm": 0.05419921875, + "learning_rate": 0.0023607894726879776, + "loss": 1.3101, + "step": 4235 + }, + { + "epoch": 0.3717919531749275, + "grad_norm": 0.10986328125, + "learning_rate": 0.002360428868401767, + "loss": 1.2007, + "step": 4236 + }, + { + "epoch": 0.37187972275783, + "grad_norm": 0.0732421875, + "learning_rate": 0.002360068193999039, + "loss": 1.2395, + "step": 4237 + }, + { + "epoch": 0.3719674923407325, + "grad_norm": 0.10986328125, + "learning_rate": 0.0023597074495153893, + "loss": 1.1942, + "step": 4238 + }, + { + "epoch": 0.372055261923635, + "grad_norm": 0.08935546875, + "learning_rate": 0.0023593466349864224, + "loss": 1.2727, + "step": 4239 + }, + { + "epoch": 0.37214303150653744, + "grad_norm": 0.12890625, + "learning_rate": 0.0023589857504477496, + "loss": 1.2548, + "step": 4240 + }, + { + "epoch": 0.37223080108943996, + "grad_norm": 0.1376953125, + "learning_rate": 0.002358624795934988, + "loss": 1.2749, + "step": 4241 + }, + { + "epoch": 0.3723185706723424, + "grad_norm": 0.1259765625, + "learning_rate": 0.0023582637714837634, + "loss": 1.2743, + "step": 4242 + }, + { + "epoch": 0.37240634025524494, + "grad_norm": 0.12109375, + "learning_rate": 0.0023579026771297067, + "loss": 1.2603, + "step": 4243 + }, + { + "epoch": 0.3724941098381474, + "grad_norm": 0.06103515625, + "learning_rate": 0.002357541512908457, + "loss": 1.2175, + "step": 4244 + }, + { + "epoch": 0.37258187942104987, + "grad_norm": 0.0888671875, + "learning_rate": 0.00235718027885566, + "loss": 1.2388, + "step": 4245 + }, + { + "epoch": 0.3726696490039524, + "grad_norm": 0.058349609375, + "learning_rate": 0.002356818975006967, + "loss": 1.2107, + "step": 4246 + }, + { + "epoch": 0.37275741858685485, + "grad_norm": 0.06591796875, + "learning_rate": 0.0023564576013980383, + "loss": 1.2806, + "step": 4247 + }, + { + "epoch": 0.37284518816975737, + "grad_norm": 0.059814453125, + "learning_rate": 0.0023560961580645396, + "loss": 1.2628, + "step": 4248 + }, + { + "epoch": 0.37293295775265983, + "grad_norm": 0.09716796875, + "learning_rate": 0.0023557346450421433, + "loss": 1.2424, + "step": 4249 + }, + { + "epoch": 0.3730207273355623, + "grad_norm": 0.10498046875, + "learning_rate": 0.002355373062366531, + "loss": 1.2533, + "step": 4250 + }, + { + "epoch": 0.3731084969184648, + "grad_norm": 0.1044921875, + "learning_rate": 0.0023550114100733877, + "loss": 1.1894, + "step": 4251 + }, + { + "epoch": 0.3731962665013673, + "grad_norm": 0.0771484375, + "learning_rate": 0.0023546496881984087, + "loss": 1.2222, + "step": 4252 + }, + { + "epoch": 0.37328403608426974, + "grad_norm": 0.11962890625, + "learning_rate": 0.002354287896777293, + "loss": 1.1487, + "step": 4253 + }, + { + "epoch": 0.37337180566717226, + "grad_norm": 0.060546875, + "learning_rate": 0.002353926035845749, + "loss": 1.2176, + "step": 4254 + }, + { + "epoch": 0.3734595752500747, + "grad_norm": 0.06884765625, + "learning_rate": 0.00235356410543949, + "loss": 1.2821, + "step": 4255 + }, + { + "epoch": 0.37354734483297725, + "grad_norm": 0.060546875, + "learning_rate": 0.0023532021055942378, + "loss": 1.209, + "step": 4256 + }, + { + "epoch": 0.3736351144158797, + "grad_norm": 0.072265625, + "learning_rate": 0.00235284003634572, + "loss": 1.2476, + "step": 4257 + }, + { + "epoch": 0.3737228839987822, + "grad_norm": 0.0634765625, + "learning_rate": 0.0023524778977296727, + "loss": 1.2887, + "step": 4258 + }, + { + "epoch": 0.3738106535816847, + "grad_norm": 0.0712890625, + "learning_rate": 0.002352115689781835, + "loss": 1.2239, + "step": 4259 + }, + { + "epoch": 0.37389842316458716, + "grad_norm": 0.060546875, + "learning_rate": 0.0023517534125379576, + "loss": 1.2232, + "step": 4260 + }, + { + "epoch": 0.3739861927474897, + "grad_norm": 0.0673828125, + "learning_rate": 0.002351391066033795, + "loss": 1.2658, + "step": 4261 + }, + { + "epoch": 0.37407396233039214, + "grad_norm": 0.060546875, + "learning_rate": 0.00235102865030511, + "loss": 1.2163, + "step": 4262 + }, + { + "epoch": 0.3741617319132946, + "grad_norm": 0.06591796875, + "learning_rate": 0.0023506661653876705, + "loss": 1.2392, + "step": 4263 + }, + { + "epoch": 0.3742495014961971, + "grad_norm": 0.06884765625, + "learning_rate": 0.0023503036113172527, + "loss": 1.238, + "step": 4264 + }, + { + "epoch": 0.3743372710790996, + "grad_norm": 0.10009765625, + "learning_rate": 0.0023499409881296398, + "loss": 1.1915, + "step": 4265 + }, + { + "epoch": 0.3744250406620021, + "grad_norm": 0.09619140625, + "learning_rate": 0.0023495782958606205, + "loss": 1.1968, + "step": 4266 + }, + { + "epoch": 0.37451281024490457, + "grad_norm": 0.068359375, + "learning_rate": 0.002349215534545992, + "loss": 1.2149, + "step": 4267 + }, + { + "epoch": 0.37460057982780703, + "grad_norm": 0.1201171875, + "learning_rate": 0.0023488527042215563, + "loss": 1.2106, + "step": 4268 + }, + { + "epoch": 0.37468834941070955, + "grad_norm": 0.06982421875, + "learning_rate": 0.0023484898049231243, + "loss": 1.2169, + "step": 4269 + }, + { + "epoch": 0.374776118993612, + "grad_norm": 0.095703125, + "learning_rate": 0.0023481268366865125, + "loss": 1.1899, + "step": 4270 + }, + { + "epoch": 0.3748638885765145, + "grad_norm": 0.0751953125, + "learning_rate": 0.0023477637995475437, + "loss": 1.315, + "step": 4271 + }, + { + "epoch": 0.374951658159417, + "grad_norm": 0.1435546875, + "learning_rate": 0.0023474006935420492, + "loss": 1.1852, + "step": 4272 + }, + { + "epoch": 0.37503942774231946, + "grad_norm": 0.06884765625, + "learning_rate": 0.0023470375187058658, + "loss": 1.2195, + "step": 4273 + }, + { + "epoch": 0.375127197325222, + "grad_norm": 0.06494140625, + "learning_rate": 0.002346674275074837, + "loss": 1.2612, + "step": 4274 + }, + { + "epoch": 0.37521496690812445, + "grad_norm": 0.1318359375, + "learning_rate": 0.002346310962684814, + "loss": 1.2131, + "step": 4275 + }, + { + "epoch": 0.3753027364910269, + "grad_norm": 0.078125, + "learning_rate": 0.0023459475815716543, + "loss": 1.2199, + "step": 4276 + }, + { + "epoch": 0.37539050607392943, + "grad_norm": 0.1328125, + "learning_rate": 0.002345584131771222, + "loss": 1.2523, + "step": 4277 + }, + { + "epoch": 0.3754782756568319, + "grad_norm": 0.08251953125, + "learning_rate": 0.002345220613319388, + "loss": 1.234, + "step": 4278 + }, + { + "epoch": 0.3755660452397344, + "grad_norm": 0.115234375, + "learning_rate": 0.0023448570262520306, + "loss": 1.2495, + "step": 4279 + }, + { + "epoch": 0.3756538148226369, + "grad_norm": 0.0771484375, + "learning_rate": 0.0023444933706050337, + "loss": 1.2104, + "step": 4280 + }, + { + "epoch": 0.37574158440553934, + "grad_norm": 0.07763671875, + "learning_rate": 0.0023441296464142896, + "loss": 1.2604, + "step": 4281 + }, + { + "epoch": 0.37582935398844186, + "grad_norm": 0.0556640625, + "learning_rate": 0.002343765853715695, + "loss": 1.2364, + "step": 4282 + }, + { + "epoch": 0.3759171235713443, + "grad_norm": 0.10400390625, + "learning_rate": 0.0023434019925451573, + "loss": 1.2391, + "step": 4283 + }, + { + "epoch": 0.3760048931542468, + "grad_norm": 0.06689453125, + "learning_rate": 0.0023430380629385853, + "loss": 1.2663, + "step": 4284 + }, + { + "epoch": 0.3760926627371493, + "grad_norm": 0.11865234375, + "learning_rate": 0.002342674064931899, + "loss": 1.2488, + "step": 4285 + }, + { + "epoch": 0.37618043232005177, + "grad_norm": 0.083984375, + "learning_rate": 0.0023423099985610232, + "loss": 1.2324, + "step": 4286 + }, + { + "epoch": 0.3762682019029543, + "grad_norm": 0.0849609375, + "learning_rate": 0.0023419458638618902, + "loss": 1.1891, + "step": 4287 + }, + { + "epoch": 0.37635597148585676, + "grad_norm": 0.11572265625, + "learning_rate": 0.0023415816608704384, + "loss": 1.1995, + "step": 4288 + }, + { + "epoch": 0.3764437410687592, + "grad_norm": 0.10302734375, + "learning_rate": 0.002341217389622613, + "loss": 1.2687, + "step": 4289 + }, + { + "epoch": 0.37653151065166174, + "grad_norm": 0.0712890625, + "learning_rate": 0.002340853050154366, + "loss": 1.2461, + "step": 4290 + }, + { + "epoch": 0.3766192802345642, + "grad_norm": 0.12109375, + "learning_rate": 0.0023404886425016564, + "loss": 1.2639, + "step": 4291 + }, + { + "epoch": 0.3767070498174667, + "grad_norm": 0.053955078125, + "learning_rate": 0.00234012416670045, + "loss": 1.2472, + "step": 4292 + }, + { + "epoch": 0.3767948194003692, + "grad_norm": 0.10205078125, + "learning_rate": 0.0023397596227867196, + "loss": 1.246, + "step": 4293 + }, + { + "epoch": 0.37688258898327165, + "grad_norm": 0.06396484375, + "learning_rate": 0.002339395010796443, + "loss": 1.2845, + "step": 4294 + }, + { + "epoch": 0.37697035856617417, + "grad_norm": 0.1318359375, + "learning_rate": 0.0023390303307656065, + "loss": 1.2574, + "step": 4295 + }, + { + "epoch": 0.37705812814907663, + "grad_norm": 0.09326171875, + "learning_rate": 0.0023386655827302033, + "loss": 1.2736, + "step": 4296 + }, + { + "epoch": 0.3771458977319791, + "grad_norm": 0.1162109375, + "learning_rate": 0.002338300766726232, + "loss": 1.1969, + "step": 4297 + }, + { + "epoch": 0.3772336673148816, + "grad_norm": 0.09521484375, + "learning_rate": 0.0023379358827896983, + "loss": 1.2467, + "step": 4298 + }, + { + "epoch": 0.3773214368977841, + "grad_norm": 0.1533203125, + "learning_rate": 0.002337570930956615, + "loss": 1.2285, + "step": 4299 + }, + { + "epoch": 0.3774092064806866, + "grad_norm": 0.06591796875, + "learning_rate": 0.002337205911263001, + "loss": 1.2546, + "step": 4300 + }, + { + "epoch": 0.37749697606358906, + "grad_norm": 0.10302734375, + "learning_rate": 0.0023368408237448833, + "loss": 1.2204, + "step": 4301 + }, + { + "epoch": 0.3775847456464915, + "grad_norm": 0.0986328125, + "learning_rate": 0.0023364756684382936, + "loss": 1.3143, + "step": 4302 + }, + { + "epoch": 0.37767251522939405, + "grad_norm": 0.076171875, + "learning_rate": 0.0023361104453792723, + "loss": 1.2787, + "step": 4303 + }, + { + "epoch": 0.3777602848122965, + "grad_norm": 0.08935546875, + "learning_rate": 0.0023357451546038637, + "loss": 1.2391, + "step": 4304 + }, + { + "epoch": 0.37784805439519903, + "grad_norm": 0.068359375, + "learning_rate": 0.002335379796148123, + "loss": 1.273, + "step": 4305 + }, + { + "epoch": 0.3779358239781015, + "grad_norm": 0.08154296875, + "learning_rate": 0.002335014370048108, + "loss": 1.2159, + "step": 4306 + }, + { + "epoch": 0.37802359356100396, + "grad_norm": 0.07373046875, + "learning_rate": 0.0023346488763398843, + "loss": 1.2172, + "step": 4307 + }, + { + "epoch": 0.3781113631439065, + "grad_norm": 0.1259765625, + "learning_rate": 0.0023342833150595266, + "loss": 1.2985, + "step": 4308 + }, + { + "epoch": 0.37819913272680894, + "grad_norm": 0.059814453125, + "learning_rate": 0.0023339176862431123, + "loss": 1.2719, + "step": 4309 + }, + { + "epoch": 0.3782869023097114, + "grad_norm": 0.138671875, + "learning_rate": 0.002333551989926729, + "loss": 1.2209, + "step": 4310 + }, + { + "epoch": 0.3783746718926139, + "grad_norm": 0.06787109375, + "learning_rate": 0.002333186226146469, + "loss": 1.2568, + "step": 4311 + }, + { + "epoch": 0.3784624414755164, + "grad_norm": 0.10693359375, + "learning_rate": 0.0023328203949384316, + "loss": 1.3053, + "step": 4312 + }, + { + "epoch": 0.3785502110584189, + "grad_norm": 0.059326171875, + "learning_rate": 0.002332454496338723, + "loss": 1.1982, + "step": 4313 + }, + { + "epoch": 0.37863798064132137, + "grad_norm": 0.09326171875, + "learning_rate": 0.0023320885303834563, + "loss": 1.2471, + "step": 4314 + }, + { + "epoch": 0.37872575022422383, + "grad_norm": 0.06396484375, + "learning_rate": 0.0023317224971087496, + "loss": 1.1985, + "step": 4315 + }, + { + "epoch": 0.37881351980712635, + "grad_norm": 0.0771484375, + "learning_rate": 0.0023313563965507308, + "loss": 1.2197, + "step": 4316 + }, + { + "epoch": 0.3789012893900288, + "grad_norm": 0.062255859375, + "learning_rate": 0.0023309902287455314, + "loss": 1.239, + "step": 4317 + }, + { + "epoch": 0.37898905897293134, + "grad_norm": 0.07666015625, + "learning_rate": 0.002330623993729291, + "loss": 1.2255, + "step": 4318 + }, + { + "epoch": 0.3790768285558338, + "grad_norm": 0.0634765625, + "learning_rate": 0.0023302576915381554, + "loss": 1.2284, + "step": 4319 + }, + { + "epoch": 0.37916459813873626, + "grad_norm": 0.06201171875, + "learning_rate": 0.0023298913222082776, + "loss": 1.2321, + "step": 4320 + }, + { + "epoch": 0.3792523677216388, + "grad_norm": 0.064453125, + "learning_rate": 0.0023295248857758155, + "loss": 1.2198, + "step": 4321 + }, + { + "epoch": 0.37934013730454125, + "grad_norm": 0.05517578125, + "learning_rate": 0.002329158382276937, + "loss": 1.2978, + "step": 4322 + }, + { + "epoch": 0.3794279068874437, + "grad_norm": 0.06494140625, + "learning_rate": 0.0023287918117478133, + "loss": 1.1858, + "step": 4323 + }, + { + "epoch": 0.37951567647034623, + "grad_norm": 0.099609375, + "learning_rate": 0.0023284251742246233, + "loss": 1.2114, + "step": 4324 + }, + { + "epoch": 0.3796034460532487, + "grad_norm": 0.0771484375, + "learning_rate": 0.002328058469743553, + "loss": 1.2275, + "step": 4325 + }, + { + "epoch": 0.3796912156361512, + "grad_norm": 0.0625, + "learning_rate": 0.0023276916983407947, + "loss": 1.2222, + "step": 4326 + }, + { + "epoch": 0.3797789852190537, + "grad_norm": 0.06787109375, + "learning_rate": 0.0023273248600525474, + "loss": 1.205, + "step": 4327 + }, + { + "epoch": 0.37986675480195614, + "grad_norm": 0.107421875, + "learning_rate": 0.0023269579549150166, + "loss": 1.22, + "step": 4328 + }, + { + "epoch": 0.37995452438485866, + "grad_norm": 0.099609375, + "learning_rate": 0.002326590982964414, + "loss": 1.2259, + "step": 4329 + }, + { + "epoch": 0.3800422939677611, + "grad_norm": 0.10888671875, + "learning_rate": 0.0023262239442369587, + "loss": 1.2888, + "step": 4330 + }, + { + "epoch": 0.38013006355066364, + "grad_norm": 0.07568359375, + "learning_rate": 0.0023258568387688754, + "loss": 1.1986, + "step": 4331 + }, + { + "epoch": 0.3802178331335661, + "grad_norm": 0.12158203125, + "learning_rate": 0.0023254896665963966, + "loss": 1.2498, + "step": 4332 + }, + { + "epoch": 0.38030560271646857, + "grad_norm": 0.068359375, + "learning_rate": 0.0023251224277557603, + "loss": 1.1899, + "step": 4333 + }, + { + "epoch": 0.3803933722993711, + "grad_norm": 0.1298828125, + "learning_rate": 0.0023247551222832126, + "loss": 1.2421, + "step": 4334 + }, + { + "epoch": 0.38048114188227355, + "grad_norm": 0.0712890625, + "learning_rate": 0.0023243877502150028, + "loss": 1.2499, + "step": 4335 + }, + { + "epoch": 0.3805689114651761, + "grad_norm": 0.08935546875, + "learning_rate": 0.0023240203115873913, + "loss": 1.2779, + "step": 4336 + }, + { + "epoch": 0.38065668104807854, + "grad_norm": 0.07080078125, + "learning_rate": 0.002323652806436642, + "loss": 1.1817, + "step": 4337 + }, + { + "epoch": 0.380744450630981, + "grad_norm": 0.08544921875, + "learning_rate": 0.002323285234799026, + "loss": 1.226, + "step": 4338 + }, + { + "epoch": 0.3808322202138835, + "grad_norm": 0.062255859375, + "learning_rate": 0.0023229175967108217, + "loss": 1.1708, + "step": 4339 + }, + { + "epoch": 0.380919989796786, + "grad_norm": 0.10400390625, + "learning_rate": 0.0023225498922083126, + "loss": 1.2724, + "step": 4340 + }, + { + "epoch": 0.38100775937968845, + "grad_norm": 0.0556640625, + "learning_rate": 0.0023221821213277906, + "loss": 1.2119, + "step": 4341 + }, + { + "epoch": 0.38109552896259097, + "grad_norm": 0.07177734375, + "learning_rate": 0.002321814284105553, + "loss": 1.2239, + "step": 4342 + }, + { + "epoch": 0.38118329854549343, + "grad_norm": 0.0634765625, + "learning_rate": 0.002321446380577904, + "loss": 1.2583, + "step": 4343 + }, + { + "epoch": 0.38127106812839595, + "grad_norm": 0.07861328125, + "learning_rate": 0.0023210784107811537, + "loss": 1.2536, + "step": 4344 + }, + { + "epoch": 0.3813588377112984, + "grad_norm": 0.09228515625, + "learning_rate": 0.002320710374751619, + "loss": 1.3168, + "step": 4345 + }, + { + "epoch": 0.3814466072942009, + "grad_norm": 0.099609375, + "learning_rate": 0.0023203422725256257, + "loss": 1.1542, + "step": 4346 + }, + { + "epoch": 0.3815343768771034, + "grad_norm": 0.08251953125, + "learning_rate": 0.0023199741041395015, + "loss": 1.2565, + "step": 4347 + }, + { + "epoch": 0.38162214646000586, + "grad_norm": 0.1484375, + "learning_rate": 0.0023196058696295842, + "loss": 1.2397, + "step": 4348 + }, + { + "epoch": 0.3817099160429084, + "grad_norm": 0.056396484375, + "learning_rate": 0.002319237569032217, + "loss": 1.258, + "step": 4349 + }, + { + "epoch": 0.38179768562581085, + "grad_norm": 0.158203125, + "learning_rate": 0.0023188692023837503, + "loss": 1.2145, + "step": 4350 + }, + { + "epoch": 0.3818854552087133, + "grad_norm": 0.05859375, + "learning_rate": 0.0023185007697205393, + "loss": 1.2465, + "step": 4351 + }, + { + "epoch": 0.38197322479161583, + "grad_norm": 0.1884765625, + "learning_rate": 0.002318132271078948, + "loss": 1.2854, + "step": 4352 + }, + { + "epoch": 0.3820609943745183, + "grad_norm": 0.06787109375, + "learning_rate": 0.002317763706495345, + "loss": 1.229, + "step": 4353 + }, + { + "epoch": 0.38214876395742076, + "grad_norm": 0.2060546875, + "learning_rate": 0.0023173950760061062, + "loss": 1.2323, + "step": 4354 + }, + { + "epoch": 0.3822365335403233, + "grad_norm": 0.068359375, + "learning_rate": 0.002317026379647614, + "loss": 1.196, + "step": 4355 + }, + { + "epoch": 0.38232430312322574, + "grad_norm": 0.130859375, + "learning_rate": 0.0023166576174562577, + "loss": 1.224, + "step": 4356 + }, + { + "epoch": 0.38241207270612826, + "grad_norm": 0.0712890625, + "learning_rate": 0.0023162887894684326, + "loss": 1.2266, + "step": 4357 + }, + { + "epoch": 0.3824998422890307, + "grad_norm": 0.07861328125, + "learning_rate": 0.0023159198957205403, + "loss": 1.3065, + "step": 4358 + }, + { + "epoch": 0.3825876118719332, + "grad_norm": 0.076171875, + "learning_rate": 0.002315550936248989, + "loss": 1.1871, + "step": 4359 + }, + { + "epoch": 0.3826753814548357, + "grad_norm": 0.0771484375, + "learning_rate": 0.0023151819110901937, + "loss": 1.2751, + "step": 4360 + }, + { + "epoch": 0.38276315103773817, + "grad_norm": 0.10693359375, + "learning_rate": 0.0023148128202805755, + "loss": 1.2969, + "step": 4361 + }, + { + "epoch": 0.3828509206206407, + "grad_norm": 0.10400390625, + "learning_rate": 0.002314443663856563, + "loss": 1.2331, + "step": 4362 + }, + { + "epoch": 0.38293869020354315, + "grad_norm": 0.08837890625, + "learning_rate": 0.0023140744418545895, + "loss": 1.257, + "step": 4363 + }, + { + "epoch": 0.3830264597864456, + "grad_norm": 0.08544921875, + "learning_rate": 0.002313705154311097, + "loss": 1.2506, + "step": 4364 + }, + { + "epoch": 0.38311422936934814, + "grad_norm": 0.08837890625, + "learning_rate": 0.0023133358012625313, + "loss": 1.2421, + "step": 4365 + }, + { + "epoch": 0.3832019989522506, + "grad_norm": 0.06494140625, + "learning_rate": 0.0023129663827453468, + "loss": 1.3356, + "step": 4366 + }, + { + "epoch": 0.38328976853515306, + "grad_norm": 0.10888671875, + "learning_rate": 0.0023125968987960034, + "loss": 1.307, + "step": 4367 + }, + { + "epoch": 0.3833775381180556, + "grad_norm": 0.08203125, + "learning_rate": 0.002312227349450968, + "loss": 1.2527, + "step": 4368 + }, + { + "epoch": 0.38346530770095805, + "grad_norm": 0.09521484375, + "learning_rate": 0.0023118577347467136, + "loss": 1.2796, + "step": 4369 + }, + { + "epoch": 0.38355307728386057, + "grad_norm": 0.0947265625, + "learning_rate": 0.002311488054719719, + "loss": 1.2212, + "step": 4370 + }, + { + "epoch": 0.38364084686676303, + "grad_norm": 0.1142578125, + "learning_rate": 0.002311118309406472, + "loss": 1.2321, + "step": 4371 + }, + { + "epoch": 0.3837286164496655, + "grad_norm": 0.07666015625, + "learning_rate": 0.002310748498843463, + "loss": 1.2463, + "step": 4372 + }, + { + "epoch": 0.383816386032568, + "grad_norm": 0.08984375, + "learning_rate": 0.0023103786230671917, + "loss": 1.2729, + "step": 4373 + }, + { + "epoch": 0.3839041556154705, + "grad_norm": 0.06494140625, + "learning_rate": 0.0023100086821141634, + "loss": 1.2719, + "step": 4374 + }, + { + "epoch": 0.383991925198373, + "grad_norm": 0.054931640625, + "learning_rate": 0.0023096386760208896, + "loss": 1.2278, + "step": 4375 + }, + { + "epoch": 0.38407969478127546, + "grad_norm": 0.1142578125, + "learning_rate": 0.002309268604823888, + "loss": 1.2568, + "step": 4376 + }, + { + "epoch": 0.3841674643641779, + "grad_norm": 0.06201171875, + "learning_rate": 0.0023088984685596847, + "loss": 1.2376, + "step": 4377 + }, + { + "epoch": 0.38425523394708044, + "grad_norm": 0.125, + "learning_rate": 0.0023085282672648086, + "loss": 1.2862, + "step": 4378 + }, + { + "epoch": 0.3843430035299829, + "grad_norm": 0.058837890625, + "learning_rate": 0.002308158000975799, + "loss": 1.2044, + "step": 4379 + }, + { + "epoch": 0.38443077311288537, + "grad_norm": 0.115234375, + "learning_rate": 0.0023077876697291987, + "loss": 1.2221, + "step": 4380 + }, + { + "epoch": 0.3845185426957879, + "grad_norm": 0.06201171875, + "learning_rate": 0.0023074172735615584, + "loss": 1.1765, + "step": 4381 + }, + { + "epoch": 0.38460631227869035, + "grad_norm": 0.064453125, + "learning_rate": 0.0023070468125094335, + "loss": 1.1834, + "step": 4382 + }, + { + "epoch": 0.3846940818615929, + "grad_norm": 0.07177734375, + "learning_rate": 0.002306676286609389, + "loss": 1.2694, + "step": 4383 + }, + { + "epoch": 0.38478185144449534, + "grad_norm": 0.064453125, + "learning_rate": 0.0023063056958979936, + "loss": 1.1859, + "step": 4384 + }, + { + "epoch": 0.3848696210273978, + "grad_norm": 0.053466796875, + "learning_rate": 0.0023059350404118217, + "loss": 1.2325, + "step": 4385 + }, + { + "epoch": 0.3849573906103003, + "grad_norm": 0.0849609375, + "learning_rate": 0.0023055643201874572, + "loss": 1.2329, + "step": 4386 + }, + { + "epoch": 0.3850451601932028, + "grad_norm": 0.07666015625, + "learning_rate": 0.002305193535261489, + "loss": 1.3328, + "step": 4387 + }, + { + "epoch": 0.3851329297761053, + "grad_norm": 0.076171875, + "learning_rate": 0.0023048226856705106, + "loss": 1.2262, + "step": 4388 + }, + { + "epoch": 0.38522069935900777, + "grad_norm": 0.1201171875, + "learning_rate": 0.0023044517714511242, + "loss": 1.2544, + "step": 4389 + }, + { + "epoch": 0.38530846894191023, + "grad_norm": 0.05517578125, + "learning_rate": 0.002304080792639937, + "loss": 1.2504, + "step": 4390 + }, + { + "epoch": 0.38539623852481275, + "grad_norm": 0.1455078125, + "learning_rate": 0.0023037097492735648, + "loss": 1.2199, + "step": 4391 + }, + { + "epoch": 0.3854840081077152, + "grad_norm": 0.06298828125, + "learning_rate": 0.0023033386413886256, + "loss": 1.263, + "step": 4392 + }, + { + "epoch": 0.3855717776906177, + "grad_norm": 0.08203125, + "learning_rate": 0.002302967469021749, + "loss": 1.2093, + "step": 4393 + }, + { + "epoch": 0.3856595472735202, + "grad_norm": 0.06298828125, + "learning_rate": 0.0023025962322095663, + "loss": 1.1909, + "step": 4394 + }, + { + "epoch": 0.38574731685642266, + "grad_norm": 0.068359375, + "learning_rate": 0.002302224930988717, + "loss": 1.2085, + "step": 4395 + }, + { + "epoch": 0.3858350864393252, + "grad_norm": 0.0654296875, + "learning_rate": 0.0023018535653958486, + "loss": 1.2716, + "step": 4396 + }, + { + "epoch": 0.38592285602222764, + "grad_norm": 0.064453125, + "learning_rate": 0.0023014821354676125, + "loss": 1.2248, + "step": 4397 + }, + { + "epoch": 0.3860106256051301, + "grad_norm": 0.0703125, + "learning_rate": 0.002301110641240667, + "loss": 1.2211, + "step": 4398 + }, + { + "epoch": 0.38609839518803263, + "grad_norm": 0.0712890625, + "learning_rate": 0.002300739082751678, + "loss": 1.2716, + "step": 4399 + }, + { + "epoch": 0.3861861647709351, + "grad_norm": 0.05859375, + "learning_rate": 0.0023003674600373153, + "loss": 1.1989, + "step": 4400 + }, + { + "epoch": 0.3862739343538376, + "grad_norm": 0.07421875, + "learning_rate": 0.002299995773134259, + "loss": 1.1621, + "step": 4401 + }, + { + "epoch": 0.3863617039367401, + "grad_norm": 0.1005859375, + "learning_rate": 0.002299624022079191, + "loss": 1.2333, + "step": 4402 + }, + { + "epoch": 0.38644947351964254, + "grad_norm": 0.060302734375, + "learning_rate": 0.002299252206908803, + "loss": 1.2239, + "step": 4403 + }, + { + "epoch": 0.38653724310254506, + "grad_norm": 0.125, + "learning_rate": 0.002298880327659791, + "loss": 1.1831, + "step": 4404 + }, + { + "epoch": 0.3866250126854475, + "grad_norm": 0.0625, + "learning_rate": 0.0022985083843688574, + "loss": 1.197, + "step": 4405 + }, + { + "epoch": 0.38671278226835004, + "grad_norm": 0.06591796875, + "learning_rate": 0.002298136377072713, + "loss": 1.2152, + "step": 4406 + }, + { + "epoch": 0.3868005518512525, + "grad_norm": 0.0634765625, + "learning_rate": 0.0022977643058080728, + "loss": 1.2183, + "step": 4407 + }, + { + "epoch": 0.38688832143415497, + "grad_norm": 0.06494140625, + "learning_rate": 0.002297392170611658, + "loss": 1.2229, + "step": 4408 + }, + { + "epoch": 0.3869760910170575, + "grad_norm": 0.111328125, + "learning_rate": 0.002297019971520199, + "loss": 1.2607, + "step": 4409 + }, + { + "epoch": 0.38706386059995995, + "grad_norm": 0.060791015625, + "learning_rate": 0.0022966477085704273, + "loss": 1.2776, + "step": 4410 + }, + { + "epoch": 0.3871516301828624, + "grad_norm": 0.11962890625, + "learning_rate": 0.0022962753817990862, + "loss": 1.1781, + "step": 4411 + }, + { + "epoch": 0.38723939976576494, + "grad_norm": 0.07763671875, + "learning_rate": 0.0022959029912429222, + "loss": 1.2315, + "step": 4412 + }, + { + "epoch": 0.3873271693486674, + "grad_norm": 0.10205078125, + "learning_rate": 0.0022955305369386884, + "loss": 1.2476, + "step": 4413 + }, + { + "epoch": 0.3874149389315699, + "grad_norm": 0.07763671875, + "learning_rate": 0.002295158018923145, + "loss": 1.1712, + "step": 4414 + }, + { + "epoch": 0.3875027085144724, + "grad_norm": 0.0830078125, + "learning_rate": 0.0022947854372330576, + "loss": 1.1969, + "step": 4415 + }, + { + "epoch": 0.38759047809737485, + "grad_norm": 0.05810546875, + "learning_rate": 0.0022944127919051994, + "loss": 1.27, + "step": 4416 + }, + { + "epoch": 0.38767824768027737, + "grad_norm": 0.08349609375, + "learning_rate": 0.002294040082976348, + "loss": 1.2638, + "step": 4417 + }, + { + "epoch": 0.38776601726317983, + "grad_norm": 0.0537109375, + "learning_rate": 0.002293667310483289, + "loss": 1.2421, + "step": 4418 + }, + { + "epoch": 0.38785378684608235, + "grad_norm": 0.056640625, + "learning_rate": 0.002293294474462813, + "loss": 1.2792, + "step": 4419 + }, + { + "epoch": 0.3879415564289848, + "grad_norm": 0.076171875, + "learning_rate": 0.002292921574951718, + "loss": 1.2174, + "step": 4420 + }, + { + "epoch": 0.3880293260118873, + "grad_norm": 0.052978515625, + "learning_rate": 0.0022925486119868073, + "loss": 1.2498, + "step": 4421 + }, + { + "epoch": 0.3881170955947898, + "grad_norm": 0.08935546875, + "learning_rate": 0.002292175585604891, + "loss": 1.3241, + "step": 4422 + }, + { + "epoch": 0.38820486517769226, + "grad_norm": 0.06689453125, + "learning_rate": 0.002291802495842786, + "loss": 1.256, + "step": 4423 + }, + { + "epoch": 0.3882926347605947, + "grad_norm": 0.08251953125, + "learning_rate": 0.0022914293427373136, + "loss": 1.2652, + "step": 4424 + }, + { + "epoch": 0.38838040434349724, + "grad_norm": 0.07373046875, + "learning_rate": 0.0022910561263253027, + "loss": 1.2455, + "step": 4425 + }, + { + "epoch": 0.3884681739263997, + "grad_norm": 0.07568359375, + "learning_rate": 0.0022906828466435895, + "loss": 1.1948, + "step": 4426 + }, + { + "epoch": 0.3885559435093022, + "grad_norm": 0.07861328125, + "learning_rate": 0.0022903095037290133, + "loss": 1.2912, + "step": 4427 + }, + { + "epoch": 0.3886437130922047, + "grad_norm": 0.07421875, + "learning_rate": 0.0022899360976184236, + "loss": 1.2281, + "step": 4428 + }, + { + "epoch": 0.38873148267510715, + "grad_norm": 0.06494140625, + "learning_rate": 0.002289562628348673, + "loss": 1.2357, + "step": 4429 + }, + { + "epoch": 0.3888192522580097, + "grad_norm": 0.07373046875, + "learning_rate": 0.0022891890959566216, + "loss": 1.2234, + "step": 4430 + }, + { + "epoch": 0.38890702184091214, + "grad_norm": 0.05908203125, + "learning_rate": 0.002288815500479135, + "loss": 1.2021, + "step": 4431 + }, + { + "epoch": 0.38899479142381466, + "grad_norm": 0.06689453125, + "learning_rate": 0.002288441841953087, + "loss": 1.2222, + "step": 4432 + }, + { + "epoch": 0.3890825610067171, + "grad_norm": 0.07666015625, + "learning_rate": 0.002288068120415355, + "loss": 1.2676, + "step": 4433 + }, + { + "epoch": 0.3891703305896196, + "grad_norm": 0.060791015625, + "learning_rate": 0.0022876943359028245, + "loss": 1.2517, + "step": 4434 + }, + { + "epoch": 0.3892581001725221, + "grad_norm": 0.1494140625, + "learning_rate": 0.0022873204884523855, + "loss": 1.2502, + "step": 4435 + }, + { + "epoch": 0.38934586975542457, + "grad_norm": 0.06298828125, + "learning_rate": 0.0022869465781009367, + "loss": 1.2793, + "step": 4436 + }, + { + "epoch": 0.38943363933832703, + "grad_norm": 0.177734375, + "learning_rate": 0.0022865726048853807, + "loss": 1.19, + "step": 4437 + }, + { + "epoch": 0.38952140892122955, + "grad_norm": 0.06005859375, + "learning_rate": 0.0022861985688426277, + "loss": 1.1752, + "step": 4438 + }, + { + "epoch": 0.389609178504132, + "grad_norm": 0.11767578125, + "learning_rate": 0.002285824470009593, + "loss": 1.2646, + "step": 4439 + }, + { + "epoch": 0.38969694808703453, + "grad_norm": 0.0771484375, + "learning_rate": 0.0022854503084231994, + "loss": 1.293, + "step": 4440 + }, + { + "epoch": 0.389784717669937, + "grad_norm": 0.08349609375, + "learning_rate": 0.002285076084120374, + "loss": 1.2106, + "step": 4441 + }, + { + "epoch": 0.38987248725283946, + "grad_norm": 0.09912109375, + "learning_rate": 0.0022847017971380523, + "loss": 1.2581, + "step": 4442 + }, + { + "epoch": 0.389960256835742, + "grad_norm": 0.08837890625, + "learning_rate": 0.002284327447513174, + "loss": 1.2417, + "step": 4443 + }, + { + "epoch": 0.39004802641864444, + "grad_norm": 0.10205078125, + "learning_rate": 0.0022839530352826874, + "loss": 1.261, + "step": 4444 + }, + { + "epoch": 0.39013579600154696, + "grad_norm": 0.07177734375, + "learning_rate": 0.0022835785604835446, + "loss": 1.1875, + "step": 4445 + }, + { + "epoch": 0.39022356558444943, + "grad_norm": 0.0830078125, + "learning_rate": 0.002283204023152704, + "loss": 1.1846, + "step": 4446 + }, + { + "epoch": 0.3903113351673519, + "grad_norm": 0.12060546875, + "learning_rate": 0.0022828294233271326, + "loss": 1.2762, + "step": 4447 + }, + { + "epoch": 0.3903991047502544, + "grad_norm": 0.1630859375, + "learning_rate": 0.002282454761043801, + "loss": 1.2679, + "step": 4448 + }, + { + "epoch": 0.3904868743331569, + "grad_norm": 0.0927734375, + "learning_rate": 0.0022820800363396866, + "loss": 1.3145, + "step": 4449 + }, + { + "epoch": 0.39057464391605934, + "grad_norm": 0.1806640625, + "learning_rate": 0.002281705249251774, + "loss": 1.259, + "step": 4450 + }, + { + "epoch": 0.39066241349896186, + "grad_norm": 0.0947265625, + "learning_rate": 0.002281330399817053, + "loss": 1.2508, + "step": 4451 + }, + { + "epoch": 0.3907501830818643, + "grad_norm": 0.10791015625, + "learning_rate": 0.0022809554880725193, + "loss": 1.2042, + "step": 4452 + }, + { + "epoch": 0.39083795266476684, + "grad_norm": 0.10791015625, + "learning_rate": 0.002280580514055175, + "loss": 1.249, + "step": 4453 + }, + { + "epoch": 0.3909257222476693, + "grad_norm": 0.076171875, + "learning_rate": 0.00228020547780203, + "loss": 1.213, + "step": 4454 + }, + { + "epoch": 0.39101349183057177, + "grad_norm": 0.06591796875, + "learning_rate": 0.0022798303793500974, + "loss": 1.2032, + "step": 4455 + }, + { + "epoch": 0.3911012614134743, + "grad_norm": 0.0703125, + "learning_rate": 0.0022794552187363985, + "loss": 1.2177, + "step": 4456 + }, + { + "epoch": 0.39118903099637675, + "grad_norm": 0.0703125, + "learning_rate": 0.00227907999599796, + "loss": 1.2172, + "step": 4457 + }, + { + "epoch": 0.39127680057927927, + "grad_norm": 0.0673828125, + "learning_rate": 0.0022787047111718153, + "loss": 1.268, + "step": 4458 + }, + { + "epoch": 0.39136457016218174, + "grad_norm": 0.0771484375, + "learning_rate": 0.002278329364295003, + "loss": 1.2312, + "step": 4459 + }, + { + "epoch": 0.3914523397450842, + "grad_norm": 0.053955078125, + "learning_rate": 0.002277953955404569, + "loss": 1.2314, + "step": 4460 + }, + { + "epoch": 0.3915401093279867, + "grad_norm": 0.0751953125, + "learning_rate": 0.002277578484537564, + "loss": 1.1943, + "step": 4461 + }, + { + "epoch": 0.3916278789108892, + "grad_norm": 0.07373046875, + "learning_rate": 0.002277202951731046, + "loss": 1.2327, + "step": 4462 + }, + { + "epoch": 0.39171564849379165, + "grad_norm": 0.09912109375, + "learning_rate": 0.002276827357022078, + "loss": 1.2266, + "step": 4463 + }, + { + "epoch": 0.39180341807669417, + "grad_norm": 0.057373046875, + "learning_rate": 0.0022764517004477303, + "loss": 1.197, + "step": 4464 + }, + { + "epoch": 0.39189118765959663, + "grad_norm": 0.0712890625, + "learning_rate": 0.0022760759820450787, + "loss": 1.2324, + "step": 4465 + }, + { + "epoch": 0.39197895724249915, + "grad_norm": 0.0595703125, + "learning_rate": 0.0022757002018512044, + "loss": 1.2474, + "step": 4466 + }, + { + "epoch": 0.3920667268254016, + "grad_norm": 0.0625, + "learning_rate": 0.0022753243599031967, + "loss": 1.2596, + "step": 4467 + }, + { + "epoch": 0.3921544964083041, + "grad_norm": 0.05859375, + "learning_rate": 0.002274948456238148, + "loss": 1.2443, + "step": 4468 + }, + { + "epoch": 0.3922422659912066, + "grad_norm": 0.10888671875, + "learning_rate": 0.0022745724908931606, + "loss": 1.2971, + "step": 4469 + }, + { + "epoch": 0.39233003557410906, + "grad_norm": 0.061767578125, + "learning_rate": 0.002274196463905339, + "loss": 1.244, + "step": 4470 + }, + { + "epoch": 0.3924178051570116, + "grad_norm": 0.1279296875, + "learning_rate": 0.0022738203753117966, + "loss": 1.2328, + "step": 4471 + }, + { + "epoch": 0.39250557473991404, + "grad_norm": 0.06494140625, + "learning_rate": 0.002273444225149651, + "loss": 1.2785, + "step": 4472 + }, + { + "epoch": 0.3925933443228165, + "grad_norm": 0.0869140625, + "learning_rate": 0.0022730680134560276, + "loss": 1.2153, + "step": 4473 + }, + { + "epoch": 0.392681113905719, + "grad_norm": 0.07373046875, + "learning_rate": 0.0022726917402680563, + "loss": 1.2289, + "step": 4474 + }, + { + "epoch": 0.3927688834886215, + "grad_norm": 0.109375, + "learning_rate": 0.0022723154056228743, + "loss": 1.2052, + "step": 4475 + }, + { + "epoch": 0.392856653071524, + "grad_norm": 0.06787109375, + "learning_rate": 0.002271939009557624, + "loss": 1.2234, + "step": 4476 + }, + { + "epoch": 0.3929444226544265, + "grad_norm": 0.068359375, + "learning_rate": 0.0022715625521094545, + "loss": 1.1727, + "step": 4477 + }, + { + "epoch": 0.39303219223732894, + "grad_norm": 0.08447265625, + "learning_rate": 0.0022711860333155206, + "loss": 1.2112, + "step": 4478 + }, + { + "epoch": 0.39311996182023146, + "grad_norm": 0.0615234375, + "learning_rate": 0.0022708094532129827, + "loss": 1.2185, + "step": 4479 + }, + { + "epoch": 0.3932077314031339, + "grad_norm": 0.08447265625, + "learning_rate": 0.002270432811839009, + "loss": 1.2277, + "step": 4480 + }, + { + "epoch": 0.3932955009860364, + "grad_norm": 0.0615234375, + "learning_rate": 0.0022700561092307706, + "loss": 1.209, + "step": 4481 + }, + { + "epoch": 0.3933832705689389, + "grad_norm": 0.07373046875, + "learning_rate": 0.0022696793454254484, + "loss": 1.2295, + "step": 4482 + }, + { + "epoch": 0.39347104015184137, + "grad_norm": 0.06884765625, + "learning_rate": 0.002269302520460227, + "loss": 1.2747, + "step": 4483 + }, + { + "epoch": 0.3935588097347439, + "grad_norm": 0.062255859375, + "learning_rate": 0.0022689256343722966, + "loss": 1.2553, + "step": 4484 + }, + { + "epoch": 0.39364657931764635, + "grad_norm": 0.07470703125, + "learning_rate": 0.0022685486871988556, + "loss": 1.2908, + "step": 4485 + }, + { + "epoch": 0.3937343489005488, + "grad_norm": 0.0771484375, + "learning_rate": 0.0022681716789771057, + "loss": 1.2907, + "step": 4486 + }, + { + "epoch": 0.39382211848345133, + "grad_norm": 0.06640625, + "learning_rate": 0.002267794609744258, + "loss": 1.2084, + "step": 4487 + }, + { + "epoch": 0.3939098880663538, + "grad_norm": 0.06884765625, + "learning_rate": 0.0022674174795375267, + "loss": 1.2433, + "step": 4488 + }, + { + "epoch": 0.3939976576492563, + "grad_norm": 0.07373046875, + "learning_rate": 0.002267040288394133, + "loss": 1.135, + "step": 4489 + }, + { + "epoch": 0.3940854272321588, + "grad_norm": 0.08935546875, + "learning_rate": 0.0022666630363513043, + "loss": 1.2265, + "step": 4490 + }, + { + "epoch": 0.39417319681506124, + "grad_norm": 0.11279296875, + "learning_rate": 0.002266285723446274, + "loss": 1.219, + "step": 4491 + }, + { + "epoch": 0.39426096639796376, + "grad_norm": 0.06298828125, + "learning_rate": 0.002265908349716281, + "loss": 1.2183, + "step": 4492 + }, + { + "epoch": 0.3943487359808662, + "grad_norm": 0.0654296875, + "learning_rate": 0.002265530915198572, + "loss": 1.2356, + "step": 4493 + }, + { + "epoch": 0.3944365055637687, + "grad_norm": 0.10595703125, + "learning_rate": 0.002265153419930396, + "loss": 1.2592, + "step": 4494 + }, + { + "epoch": 0.3945242751466712, + "grad_norm": 0.0634765625, + "learning_rate": 0.0022647758639490123, + "loss": 1.2597, + "step": 4495 + }, + { + "epoch": 0.3946120447295737, + "grad_norm": 0.06787109375, + "learning_rate": 0.0022643982472916827, + "loss": 1.2391, + "step": 4496 + }, + { + "epoch": 0.3946998143124762, + "grad_norm": 0.06298828125, + "learning_rate": 0.0022640205699956772, + "loss": 1.225, + "step": 4497 + }, + { + "epoch": 0.39478758389537866, + "grad_norm": 0.07861328125, + "learning_rate": 0.0022636428320982715, + "loss": 1.196, + "step": 4498 + }, + { + "epoch": 0.3948753534782811, + "grad_norm": 0.06591796875, + "learning_rate": 0.0022632650336367457, + "loss": 1.2195, + "step": 4499 + }, + { + "epoch": 0.39496312306118364, + "grad_norm": 0.0849609375, + "learning_rate": 0.002262887174648388, + "loss": 1.2091, + "step": 4500 + }, + { + "epoch": 0.39496312306118364, + "eval_loss": 1.2186098098754883, + "eval_runtime": 437.68, + "eval_samples_per_second": 33.678, + "eval_steps_per_second": 8.419, + "step": 4500 + }, + { + "epoch": 0.3950508926440861, + "grad_norm": 0.07763671875, + "learning_rate": 0.0022625092551704913, + "loss": 1.2265, + "step": 4501 + }, + { + "epoch": 0.3951386622269886, + "grad_norm": 0.07275390625, + "learning_rate": 0.0022621312752403545, + "loss": 1.3061, + "step": 4502 + }, + { + "epoch": 0.3952264318098911, + "grad_norm": 0.08935546875, + "learning_rate": 0.0022617532348952834, + "loss": 1.1992, + "step": 4503 + }, + { + "epoch": 0.39531420139279355, + "grad_norm": 0.0634765625, + "learning_rate": 0.0022613751341725883, + "loss": 1.2589, + "step": 4504 + }, + { + "epoch": 0.39540197097569607, + "grad_norm": 0.076171875, + "learning_rate": 0.0022609969731095863, + "loss": 1.1967, + "step": 4505 + }, + { + "epoch": 0.39548974055859853, + "grad_norm": 0.0888671875, + "learning_rate": 0.002260618751743601, + "loss": 1.2126, + "step": 4506 + }, + { + "epoch": 0.395577510141501, + "grad_norm": 0.07763671875, + "learning_rate": 0.0022602404701119604, + "loss": 1.2631, + "step": 4507 + }, + { + "epoch": 0.3956652797244035, + "grad_norm": 0.095703125, + "learning_rate": 0.0022598621282520007, + "loss": 1.2702, + "step": 4508 + }, + { + "epoch": 0.395753049307306, + "grad_norm": 0.095703125, + "learning_rate": 0.002259483726201062, + "loss": 1.2373, + "step": 4509 + }, + { + "epoch": 0.3958408188902085, + "grad_norm": 0.06298828125, + "learning_rate": 0.002259105263996491, + "loss": 1.2351, + "step": 4510 + }, + { + "epoch": 0.39592858847311097, + "grad_norm": 0.0947265625, + "learning_rate": 0.00225872674167564, + "loss": 1.205, + "step": 4511 + }, + { + "epoch": 0.39601635805601343, + "grad_norm": 0.06298828125, + "learning_rate": 0.002258348159275869, + "loss": 1.2386, + "step": 4512 + }, + { + "epoch": 0.39610412763891595, + "grad_norm": 0.09033203125, + "learning_rate": 0.0022579695168345416, + "loss": 1.2687, + "step": 4513 + }, + { + "epoch": 0.3961918972218184, + "grad_norm": 0.05615234375, + "learning_rate": 0.0022575908143890283, + "loss": 1.2289, + "step": 4514 + }, + { + "epoch": 0.39627966680472093, + "grad_norm": 0.1171875, + "learning_rate": 0.0022572120519767057, + "loss": 1.2376, + "step": 4515 + }, + { + "epoch": 0.3963674363876234, + "grad_norm": 0.0966796875, + "learning_rate": 0.002256833229634956, + "loss": 1.1951, + "step": 4516 + }, + { + "epoch": 0.39645520597052586, + "grad_norm": 0.068359375, + "learning_rate": 0.0022564543474011683, + "loss": 1.282, + "step": 4517 + }, + { + "epoch": 0.3965429755534284, + "grad_norm": 0.1162109375, + "learning_rate": 0.0022560754053127362, + "loss": 1.2294, + "step": 4518 + }, + { + "epoch": 0.39663074513633084, + "grad_norm": 0.0703125, + "learning_rate": 0.002255696403407059, + "loss": 1.1793, + "step": 4519 + }, + { + "epoch": 0.3967185147192333, + "grad_norm": 0.12353515625, + "learning_rate": 0.002255317341721544, + "loss": 1.1754, + "step": 4520 + }, + { + "epoch": 0.3968062843021358, + "grad_norm": 0.06396484375, + "learning_rate": 0.0022549382202936017, + "loss": 1.2479, + "step": 4521 + }, + { + "epoch": 0.3968940538850383, + "grad_norm": 0.1376953125, + "learning_rate": 0.0022545590391606514, + "loss": 1.205, + "step": 4522 + }, + { + "epoch": 0.3969818234679408, + "grad_norm": 0.0888671875, + "learning_rate": 0.0022541797983601157, + "loss": 1.255, + "step": 4523 + }, + { + "epoch": 0.3970695930508433, + "grad_norm": 0.2138671875, + "learning_rate": 0.002253800497929425, + "loss": 1.2207, + "step": 4524 + }, + { + "epoch": 0.39715736263374574, + "grad_norm": 0.05712890625, + "learning_rate": 0.0022534211379060137, + "loss": 1.1946, + "step": 4525 + }, + { + "epoch": 0.39724513221664826, + "grad_norm": 0.126953125, + "learning_rate": 0.0022530417183273237, + "loss": 1.2509, + "step": 4526 + }, + { + "epoch": 0.3973329017995507, + "grad_norm": 0.08935546875, + "learning_rate": 0.0022526622392308026, + "loss": 1.2738, + "step": 4527 + }, + { + "epoch": 0.39742067138245324, + "grad_norm": 0.115234375, + "learning_rate": 0.002252282700653903, + "loss": 1.1748, + "step": 4528 + }, + { + "epoch": 0.3975084409653557, + "grad_norm": 0.07177734375, + "learning_rate": 0.0022519031026340835, + "loss": 1.2356, + "step": 4529 + }, + { + "epoch": 0.39759621054825817, + "grad_norm": 0.04833984375, + "learning_rate": 0.0022515234452088104, + "loss": 1.1747, + "step": 4530 + }, + { + "epoch": 0.3976839801311607, + "grad_norm": 0.095703125, + "learning_rate": 0.002251143728415552, + "loss": 1.2162, + "step": 4531 + }, + { + "epoch": 0.39777174971406315, + "grad_norm": 0.08203125, + "learning_rate": 0.0022507639522917873, + "loss": 1.2556, + "step": 4532 + }, + { + "epoch": 0.3978595192969656, + "grad_norm": 0.08984375, + "learning_rate": 0.002250384116874997, + "loss": 1.2334, + "step": 4533 + }, + { + "epoch": 0.39794728887986813, + "grad_norm": 0.05810546875, + "learning_rate": 0.0022500042222026707, + "loss": 1.2725, + "step": 4534 + }, + { + "epoch": 0.3980350584627706, + "grad_norm": 0.08984375, + "learning_rate": 0.002249624268312301, + "loss": 1.2755, + "step": 4535 + }, + { + "epoch": 0.3981228280456731, + "grad_norm": 0.0869140625, + "learning_rate": 0.002249244255241389, + "loss": 1.2529, + "step": 4536 + }, + { + "epoch": 0.3982105976285756, + "grad_norm": 0.06689453125, + "learning_rate": 0.00224886418302744, + "loss": 1.182, + "step": 4537 + }, + { + "epoch": 0.39829836721147804, + "grad_norm": 0.062255859375, + "learning_rate": 0.002248484051707966, + "loss": 1.1488, + "step": 4538 + }, + { + "epoch": 0.39838613679438056, + "grad_norm": 0.0654296875, + "learning_rate": 0.0022481038613204837, + "loss": 1.2066, + "step": 4539 + }, + { + "epoch": 0.398473906377283, + "grad_norm": 0.06640625, + "learning_rate": 0.0022477236119025175, + "loss": 1.2572, + "step": 4540 + }, + { + "epoch": 0.39856167596018555, + "grad_norm": 0.08935546875, + "learning_rate": 0.002247343303491595, + "loss": 1.2349, + "step": 4541 + }, + { + "epoch": 0.398649445543088, + "grad_norm": 0.062255859375, + "learning_rate": 0.0022469629361252528, + "loss": 1.2365, + "step": 4542 + }, + { + "epoch": 0.3987372151259905, + "grad_norm": 0.0615234375, + "learning_rate": 0.0022465825098410305, + "loss": 1.1759, + "step": 4543 + }, + { + "epoch": 0.398824984708893, + "grad_norm": 0.09814453125, + "learning_rate": 0.002246202024676475, + "loss": 1.2416, + "step": 4544 + }, + { + "epoch": 0.39891275429179546, + "grad_norm": 0.056640625, + "learning_rate": 0.0022458214806691384, + "loss": 1.1787, + "step": 4545 + }, + { + "epoch": 0.399000523874698, + "grad_norm": 0.10693359375, + "learning_rate": 0.0022454408778565796, + "loss": 1.2258, + "step": 4546 + }, + { + "epoch": 0.39908829345760044, + "grad_norm": 0.07421875, + "learning_rate": 0.0022450602162763624, + "loss": 1.2491, + "step": 4547 + }, + { + "epoch": 0.3991760630405029, + "grad_norm": 0.06787109375, + "learning_rate": 0.0022446794959660563, + "loss": 1.2196, + "step": 4548 + }, + { + "epoch": 0.3992638326234054, + "grad_norm": 0.134765625, + "learning_rate": 0.0022442987169632366, + "loss": 1.2421, + "step": 4549 + }, + { + "epoch": 0.3993516022063079, + "grad_norm": 0.06494140625, + "learning_rate": 0.0022439178793054854, + "loss": 1.2328, + "step": 4550 + }, + { + "epoch": 0.39943937178921035, + "grad_norm": 0.125, + "learning_rate": 0.0022435369830303897, + "loss": 1.1851, + "step": 4551 + }, + { + "epoch": 0.39952714137211287, + "grad_norm": 0.0634765625, + "learning_rate": 0.002243156028175542, + "loss": 1.3398, + "step": 4552 + }, + { + "epoch": 0.39961491095501533, + "grad_norm": 0.166015625, + "learning_rate": 0.002242775014778541, + "loss": 1.2284, + "step": 4553 + }, + { + "epoch": 0.39970268053791785, + "grad_norm": 0.06884765625, + "learning_rate": 0.002242393942876992, + "loss": 1.2492, + "step": 4554 + }, + { + "epoch": 0.3997904501208203, + "grad_norm": 0.1083984375, + "learning_rate": 0.0022420128125085047, + "loss": 1.2483, + "step": 4555 + }, + { + "epoch": 0.3998782197037228, + "grad_norm": 0.07763671875, + "learning_rate": 0.002241631623710695, + "loss": 1.2433, + "step": 4556 + }, + { + "epoch": 0.3999659892866253, + "grad_norm": 0.0869140625, + "learning_rate": 0.002241250376521186, + "loss": 1.2344, + "step": 4557 + }, + { + "epoch": 0.40005375886952776, + "grad_norm": 0.0625, + "learning_rate": 0.0022408690709776035, + "loss": 1.2559, + "step": 4558 + }, + { + "epoch": 0.4001415284524303, + "grad_norm": 0.0654296875, + "learning_rate": 0.0022404877071175813, + "loss": 1.2125, + "step": 4559 + }, + { + "epoch": 0.40022929803533275, + "grad_norm": 0.0751953125, + "learning_rate": 0.0022401062849787597, + "loss": 1.2232, + "step": 4560 + }, + { + "epoch": 0.4003170676182352, + "grad_norm": 0.07666015625, + "learning_rate": 0.002239724804598782, + "loss": 1.2485, + "step": 4561 + }, + { + "epoch": 0.40040483720113773, + "grad_norm": 0.08349609375, + "learning_rate": 0.0022393432660153, + "loss": 1.2028, + "step": 4562 + }, + { + "epoch": 0.4004926067840402, + "grad_norm": 0.06640625, + "learning_rate": 0.0022389616692659693, + "loss": 1.2068, + "step": 4563 + }, + { + "epoch": 0.40058037636694266, + "grad_norm": 0.1396484375, + "learning_rate": 0.0022385800143884527, + "loss": 1.2435, + "step": 4564 + }, + { + "epoch": 0.4006681459498452, + "grad_norm": 0.068359375, + "learning_rate": 0.002238198301420417, + "loss": 1.206, + "step": 4565 + }, + { + "epoch": 0.40075591553274764, + "grad_norm": 0.10009765625, + "learning_rate": 0.0022378165303995365, + "loss": 1.2264, + "step": 4566 + }, + { + "epoch": 0.40084368511565016, + "grad_norm": 0.05908203125, + "learning_rate": 0.0022374347013634902, + "loss": 1.2607, + "step": 4567 + }, + { + "epoch": 0.4009314546985526, + "grad_norm": 0.0771484375, + "learning_rate": 0.002237052814349963, + "loss": 1.2098, + "step": 4568 + }, + { + "epoch": 0.4010192242814551, + "grad_norm": 0.0634765625, + "learning_rate": 0.0022366708693966468, + "loss": 1.2563, + "step": 4569 + }, + { + "epoch": 0.4011069938643576, + "grad_norm": 0.0732421875, + "learning_rate": 0.0022362888665412362, + "loss": 1.2339, + "step": 4570 + }, + { + "epoch": 0.40119476344726007, + "grad_norm": 0.06884765625, + "learning_rate": 0.002235906805821435, + "loss": 1.2235, + "step": 4571 + }, + { + "epoch": 0.4012825330301626, + "grad_norm": 0.08056640625, + "learning_rate": 0.0022355246872749496, + "loss": 1.2523, + "step": 4572 + }, + { + "epoch": 0.40137030261306506, + "grad_norm": 0.06689453125, + "learning_rate": 0.002235142510939495, + "loss": 1.2645, + "step": 4573 + }, + { + "epoch": 0.4014580721959675, + "grad_norm": 0.08837890625, + "learning_rate": 0.00223476027685279, + "loss": 1.2357, + "step": 4574 + }, + { + "epoch": 0.40154584177887004, + "grad_norm": 0.06591796875, + "learning_rate": 0.002234377985052559, + "loss": 1.2698, + "step": 4575 + }, + { + "epoch": 0.4016336113617725, + "grad_norm": 0.0927734375, + "learning_rate": 0.002233995635576533, + "loss": 1.2074, + "step": 4576 + }, + { + "epoch": 0.40172138094467497, + "grad_norm": 0.06884765625, + "learning_rate": 0.002233613228462449, + "loss": 1.2693, + "step": 4577 + }, + { + "epoch": 0.4018091505275775, + "grad_norm": 0.1298828125, + "learning_rate": 0.0022332307637480484, + "loss": 1.2476, + "step": 4578 + }, + { + "epoch": 0.40189692011047995, + "grad_norm": 0.07763671875, + "learning_rate": 0.0022328482414710796, + "loss": 1.1465, + "step": 4579 + }, + { + "epoch": 0.40198468969338247, + "grad_norm": 0.140625, + "learning_rate": 0.0022324656616692948, + "loss": 1.198, + "step": 4580 + }, + { + "epoch": 0.40207245927628493, + "grad_norm": 0.11767578125, + "learning_rate": 0.002232083024380455, + "loss": 1.2371, + "step": 4581 + }, + { + "epoch": 0.4021602288591874, + "grad_norm": 0.138671875, + "learning_rate": 0.0022317003296423218, + "loss": 1.2475, + "step": 4582 + }, + { + "epoch": 0.4022479984420899, + "grad_norm": 0.14453125, + "learning_rate": 0.00223131757749267, + "loss": 1.2169, + "step": 4583 + }, + { + "epoch": 0.4023357680249924, + "grad_norm": 0.0703125, + "learning_rate": 0.002230934767969272, + "loss": 1.1986, + "step": 4584 + }, + { + "epoch": 0.4024235376078949, + "grad_norm": 0.1943359375, + "learning_rate": 0.002230551901109912, + "loss": 1.214, + "step": 4585 + }, + { + "epoch": 0.40251130719079736, + "grad_norm": 0.056396484375, + "learning_rate": 0.0022301689769523756, + "loss": 1.281, + "step": 4586 + }, + { + "epoch": 0.4025990767736998, + "grad_norm": 0.1552734375, + "learning_rate": 0.002229785995534457, + "loss": 1.2614, + "step": 4587 + }, + { + "epoch": 0.40268684635660235, + "grad_norm": 0.07861328125, + "learning_rate": 0.002229402956893955, + "loss": 1.2541, + "step": 4588 + }, + { + "epoch": 0.4027746159395048, + "grad_norm": 0.126953125, + "learning_rate": 0.002229019861068674, + "loss": 1.2198, + "step": 4589 + }, + { + "epoch": 0.4028623855224073, + "grad_norm": 0.12060546875, + "learning_rate": 0.002228636708096423, + "loss": 1.2111, + "step": 4590 + }, + { + "epoch": 0.4029501551053098, + "grad_norm": 0.06689453125, + "learning_rate": 0.0022282534980150193, + "loss": 1.1959, + "step": 4591 + }, + { + "epoch": 0.40303792468821226, + "grad_norm": 0.1982421875, + "learning_rate": 0.0022278702308622827, + "loss": 1.2903, + "step": 4592 + }, + { + "epoch": 0.4031256942711148, + "grad_norm": 0.07763671875, + "learning_rate": 0.0022274869066760414, + "loss": 1.204, + "step": 4593 + }, + { + "epoch": 0.40321346385401724, + "grad_norm": 0.201171875, + "learning_rate": 0.0022271035254941268, + "loss": 1.2469, + "step": 4594 + }, + { + "epoch": 0.4033012334369197, + "grad_norm": 0.140625, + "learning_rate": 0.0022267200873543787, + "loss": 1.2176, + "step": 4595 + }, + { + "epoch": 0.4033890030198222, + "grad_norm": 0.091796875, + "learning_rate": 0.002226336592294639, + "loss": 1.2289, + "step": 4596 + }, + { + "epoch": 0.4034767726027247, + "grad_norm": 0.193359375, + "learning_rate": 0.0022259530403527586, + "loss": 1.2417, + "step": 4597 + }, + { + "epoch": 0.4035645421856272, + "grad_norm": 0.057861328125, + "learning_rate": 0.0022255694315665916, + "loss": 1.2632, + "step": 4598 + }, + { + "epoch": 0.40365231176852967, + "grad_norm": 0.12890625, + "learning_rate": 0.0022251857659739997, + "loss": 1.1894, + "step": 4599 + }, + { + "epoch": 0.40374008135143213, + "grad_norm": 0.05322265625, + "learning_rate": 0.0022248020436128483, + "loss": 1.2498, + "step": 4600 + }, + { + "epoch": 0.40382785093433465, + "grad_norm": 0.06103515625, + "learning_rate": 0.0022244182645210094, + "loss": 1.1926, + "step": 4601 + }, + { + "epoch": 0.4039156205172371, + "grad_norm": 0.0654296875, + "learning_rate": 0.002224034428736361, + "loss": 1.2626, + "step": 4602 + }, + { + "epoch": 0.4040033901001396, + "grad_norm": 0.08642578125, + "learning_rate": 0.0022236505362967854, + "loss": 1.2359, + "step": 4603 + }, + { + "epoch": 0.4040911596830421, + "grad_norm": 0.056396484375, + "learning_rate": 0.0022232665872401716, + "loss": 1.2135, + "step": 4604 + }, + { + "epoch": 0.40417892926594456, + "grad_norm": 0.0703125, + "learning_rate": 0.0022228825816044146, + "loss": 1.2268, + "step": 4605 + }, + { + "epoch": 0.4042666988488471, + "grad_norm": 0.06494140625, + "learning_rate": 0.0022224985194274132, + "loss": 1.3129, + "step": 4606 + }, + { + "epoch": 0.40435446843174955, + "grad_norm": 0.09765625, + "learning_rate": 0.0022221144007470734, + "loss": 1.2514, + "step": 4607 + }, + { + "epoch": 0.404442238014652, + "grad_norm": 0.083984375, + "learning_rate": 0.0022217302256013058, + "loss": 1.2257, + "step": 4608 + }, + { + "epoch": 0.40453000759755453, + "grad_norm": 0.0712890625, + "learning_rate": 0.002221345994028027, + "loss": 1.3206, + "step": 4609 + }, + { + "epoch": 0.404617777180457, + "grad_norm": 0.09375, + "learning_rate": 0.002220961706065159, + "loss": 1.191, + "step": 4610 + }, + { + "epoch": 0.4047055467633595, + "grad_norm": 0.07080078125, + "learning_rate": 0.002220577361750631, + "loss": 1.2191, + "step": 4611 + }, + { + "epoch": 0.404793316346262, + "grad_norm": 0.1064453125, + "learning_rate": 0.0022201929611223737, + "loss": 1.2534, + "step": 4612 + }, + { + "epoch": 0.40488108592916444, + "grad_norm": 0.0615234375, + "learning_rate": 0.002219808504218328, + "loss": 1.1816, + "step": 4613 + }, + { + "epoch": 0.40496885551206696, + "grad_norm": 0.11474609375, + "learning_rate": 0.002219423991076438, + "loss": 1.2388, + "step": 4614 + }, + { + "epoch": 0.4050566250949694, + "grad_norm": 0.06982421875, + "learning_rate": 0.0022190394217346523, + "loss": 1.2437, + "step": 4615 + }, + { + "epoch": 0.40514439467787194, + "grad_norm": 0.09619140625, + "learning_rate": 0.002218654796230928, + "loss": 1.2384, + "step": 4616 + }, + { + "epoch": 0.4052321642607744, + "grad_norm": 0.060546875, + "learning_rate": 0.002218270114603224, + "loss": 1.2531, + "step": 4617 + }, + { + "epoch": 0.40531993384367687, + "grad_norm": 0.07080078125, + "learning_rate": 0.00221788537688951, + "loss": 1.2293, + "step": 4618 + }, + { + "epoch": 0.4054077034265794, + "grad_norm": 0.07666015625, + "learning_rate": 0.002217500583127755, + "loss": 1.2216, + "step": 4619 + }, + { + "epoch": 0.40549547300948185, + "grad_norm": 0.06640625, + "learning_rate": 0.002217115733355939, + "loss": 1.2342, + "step": 4620 + }, + { + "epoch": 0.4055832425923843, + "grad_norm": 0.08984375, + "learning_rate": 0.002216730827612043, + "loss": 1.2192, + "step": 4621 + }, + { + "epoch": 0.40567101217528684, + "grad_norm": 0.06884765625, + "learning_rate": 0.0022163458659340573, + "loss": 1.2177, + "step": 4622 + }, + { + "epoch": 0.4057587817581893, + "grad_norm": 0.08251953125, + "learning_rate": 0.002215960848359975, + "loss": 1.2334, + "step": 4623 + }, + { + "epoch": 0.4058465513410918, + "grad_norm": 0.06494140625, + "learning_rate": 0.0022155757749277977, + "loss": 1.2084, + "step": 4624 + }, + { + "epoch": 0.4059343209239943, + "grad_norm": 0.07275390625, + "learning_rate": 0.002215190645675528, + "loss": 1.209, + "step": 4625 + }, + { + "epoch": 0.40602209050689675, + "grad_norm": 0.08935546875, + "learning_rate": 0.0022148054606411787, + "loss": 1.1929, + "step": 4626 + }, + { + "epoch": 0.40610986008979927, + "grad_norm": 0.09033203125, + "learning_rate": 0.0022144202198627646, + "loss": 1.1999, + "step": 4627 + }, + { + "epoch": 0.40619762967270173, + "grad_norm": 0.08740234375, + "learning_rate": 0.0022140349233783084, + "loss": 1.268, + "step": 4628 + }, + { + "epoch": 0.40628539925560425, + "grad_norm": 0.0908203125, + "learning_rate": 0.002213649571225837, + "loss": 1.2848, + "step": 4629 + }, + { + "epoch": 0.4063731688385067, + "grad_norm": 0.0771484375, + "learning_rate": 0.0022132641634433833, + "loss": 1.2309, + "step": 4630 + }, + { + "epoch": 0.4064609384214092, + "grad_norm": 0.06298828125, + "learning_rate": 0.002212878700068985, + "loss": 1.2424, + "step": 4631 + }, + { + "epoch": 0.4065487080043117, + "grad_norm": 0.09423828125, + "learning_rate": 0.002212493181140687, + "loss": 1.2071, + "step": 4632 + }, + { + "epoch": 0.40663647758721416, + "grad_norm": 0.1083984375, + "learning_rate": 0.0022121076066965364, + "loss": 1.1878, + "step": 4633 + }, + { + "epoch": 0.4067242471701166, + "grad_norm": 0.058349609375, + "learning_rate": 0.0022117219767745903, + "loss": 1.177, + "step": 4634 + }, + { + "epoch": 0.40681201675301915, + "grad_norm": 0.1025390625, + "learning_rate": 0.0022113362914129076, + "loss": 1.2387, + "step": 4635 + }, + { + "epoch": 0.4068997863359216, + "grad_norm": 0.07958984375, + "learning_rate": 0.002210950550649554, + "loss": 1.2387, + "step": 4636 + }, + { + "epoch": 0.40698755591882413, + "grad_norm": 0.06298828125, + "learning_rate": 0.0022105647545226, + "loss": 1.2116, + "step": 4637 + }, + { + "epoch": 0.4070753255017266, + "grad_norm": 0.154296875, + "learning_rate": 0.002210178903070123, + "loss": 1.2735, + "step": 4638 + }, + { + "epoch": 0.40716309508462906, + "grad_norm": 0.0615234375, + "learning_rate": 0.0022097929963302053, + "loss": 1.2082, + "step": 4639 + }, + { + "epoch": 0.4072508646675316, + "grad_norm": 0.1220703125, + "learning_rate": 0.0022094070343409338, + "loss": 1.3171, + "step": 4640 + }, + { + "epoch": 0.40733863425043404, + "grad_norm": 0.060791015625, + "learning_rate": 0.0022090210171404013, + "loss": 1.1991, + "step": 4641 + }, + { + "epoch": 0.40742640383333656, + "grad_norm": 0.07373046875, + "learning_rate": 0.002208634944766706, + "loss": 1.2177, + "step": 4642 + }, + { + "epoch": 0.407514173416239, + "grad_norm": 0.0654296875, + "learning_rate": 0.002208248817257952, + "loss": 1.1877, + "step": 4643 + }, + { + "epoch": 0.4076019429991415, + "grad_norm": 0.0703125, + "learning_rate": 0.0022078626346522493, + "loss": 1.1938, + "step": 4644 + }, + { + "epoch": 0.407689712582044, + "grad_norm": 0.08935546875, + "learning_rate": 0.0022074763969877113, + "loss": 1.2259, + "step": 4645 + }, + { + "epoch": 0.40777748216494647, + "grad_norm": 0.076171875, + "learning_rate": 0.0022070901043024596, + "loss": 1.2457, + "step": 4646 + }, + { + "epoch": 0.40786525174784893, + "grad_norm": 0.10009765625, + "learning_rate": 0.0022067037566346178, + "loss": 1.2244, + "step": 4647 + }, + { + "epoch": 0.40795302133075145, + "grad_norm": 0.07373046875, + "learning_rate": 0.0022063173540223186, + "loss": 1.2694, + "step": 4648 + }, + { + "epoch": 0.4080407909136539, + "grad_norm": 0.0654296875, + "learning_rate": 0.0022059308965036977, + "loss": 1.2373, + "step": 4649 + }, + { + "epoch": 0.40812856049655644, + "grad_norm": 0.06201171875, + "learning_rate": 0.002205544384116897, + "loss": 1.282, + "step": 4650 + }, + { + "epoch": 0.4082163300794589, + "grad_norm": 0.078125, + "learning_rate": 0.0022051578169000638, + "loss": 1.2021, + "step": 4651 + }, + { + "epoch": 0.40830409966236136, + "grad_norm": 0.062255859375, + "learning_rate": 0.0022047711948913504, + "loss": 1.2458, + "step": 4652 + }, + { + "epoch": 0.4083918692452639, + "grad_norm": 0.087890625, + "learning_rate": 0.002204384518128916, + "loss": 1.1999, + "step": 4653 + }, + { + "epoch": 0.40847963882816635, + "grad_norm": 0.05810546875, + "learning_rate": 0.0022039977866509224, + "loss": 1.1851, + "step": 4654 + }, + { + "epoch": 0.40856740841106887, + "grad_norm": 0.1171875, + "learning_rate": 0.0022036110004955392, + "loss": 1.2402, + "step": 4655 + }, + { + "epoch": 0.40865517799397133, + "grad_norm": 0.064453125, + "learning_rate": 0.0022032241597009414, + "loss": 1.1925, + "step": 4656 + }, + { + "epoch": 0.4087429475768738, + "grad_norm": 0.08642578125, + "learning_rate": 0.002202837264305308, + "loss": 1.2129, + "step": 4657 + }, + { + "epoch": 0.4088307171597763, + "grad_norm": 0.0673828125, + "learning_rate": 0.002202450314346824, + "loss": 1.2575, + "step": 4658 + }, + { + "epoch": 0.4089184867426788, + "grad_norm": 0.0654296875, + "learning_rate": 0.00220206330986368, + "loss": 1.2332, + "step": 4659 + }, + { + "epoch": 0.40900625632558124, + "grad_norm": 0.06689453125, + "learning_rate": 0.0022016762508940716, + "loss": 1.2346, + "step": 4660 + }, + { + "epoch": 0.40909402590848376, + "grad_norm": 0.05712890625, + "learning_rate": 0.0022012891374762, + "loss": 1.2313, + "step": 4661 + }, + { + "epoch": 0.4091817954913862, + "grad_norm": 0.07373046875, + "learning_rate": 0.0022009019696482717, + "loss": 1.2965, + "step": 4662 + }, + { + "epoch": 0.40926956507428874, + "grad_norm": 0.08203125, + "learning_rate": 0.0022005147474484987, + "loss": 1.1983, + "step": 4663 + }, + { + "epoch": 0.4093573346571912, + "grad_norm": 0.076171875, + "learning_rate": 0.002200127470915099, + "loss": 1.2684, + "step": 4664 + }, + { + "epoch": 0.40944510424009367, + "grad_norm": 0.055419921875, + "learning_rate": 0.002199740140086295, + "loss": 1.1919, + "step": 4665 + }, + { + "epoch": 0.4095328738229962, + "grad_norm": 0.08349609375, + "learning_rate": 0.0021993527550003135, + "loss": 1.2368, + "step": 4666 + }, + { + "epoch": 0.40962064340589865, + "grad_norm": 0.09228515625, + "learning_rate": 0.0021989653156953884, + "loss": 1.2697, + "step": 4667 + }, + { + "epoch": 0.4097084129888012, + "grad_norm": 0.083984375, + "learning_rate": 0.0021985778222097596, + "loss": 1.2202, + "step": 4668 + }, + { + "epoch": 0.40979618257170364, + "grad_norm": 0.07666015625, + "learning_rate": 0.0021981902745816704, + "loss": 1.2344, + "step": 4669 + }, + { + "epoch": 0.4098839521546061, + "grad_norm": 0.09716796875, + "learning_rate": 0.00219780267284937, + "loss": 1.2775, + "step": 4670 + }, + { + "epoch": 0.4099717217375086, + "grad_norm": 0.06640625, + "learning_rate": 0.0021974150170511134, + "loss": 1.1451, + "step": 4671 + }, + { + "epoch": 0.4100594913204111, + "grad_norm": 0.1376953125, + "learning_rate": 0.0021970273072251605, + "loss": 1.2525, + "step": 4672 + }, + { + "epoch": 0.41014726090331355, + "grad_norm": 0.07080078125, + "learning_rate": 0.002196639543409777, + "loss": 1.206, + "step": 4673 + }, + { + "epoch": 0.41023503048621607, + "grad_norm": 0.12353515625, + "learning_rate": 0.002196251725643233, + "loss": 1.1734, + "step": 4674 + }, + { + "epoch": 0.41032280006911853, + "grad_norm": 0.0595703125, + "learning_rate": 0.0021958638539638056, + "loss": 1.1711, + "step": 4675 + }, + { + "epoch": 0.41041056965202105, + "grad_norm": 0.1201171875, + "learning_rate": 0.002195475928409776, + "loss": 1.2429, + "step": 4676 + }, + { + "epoch": 0.4104983392349235, + "grad_norm": 0.07470703125, + "learning_rate": 0.00219508794901943, + "loss": 1.2194, + "step": 4677 + }, + { + "epoch": 0.410586108817826, + "grad_norm": 0.1162109375, + "learning_rate": 0.0021946999158310603, + "loss": 1.237, + "step": 4678 + }, + { + "epoch": 0.4106738784007285, + "grad_norm": 0.08544921875, + "learning_rate": 0.0021943118288829644, + "loss": 1.2404, + "step": 4679 + }, + { + "epoch": 0.41076164798363096, + "grad_norm": 0.09814453125, + "learning_rate": 0.0021939236882134445, + "loss": 1.1934, + "step": 4680 + }, + { + "epoch": 0.4108494175665335, + "grad_norm": 0.095703125, + "learning_rate": 0.002193535493860809, + "loss": 1.2583, + "step": 4681 + }, + { + "epoch": 0.41093718714943595, + "grad_norm": 0.06884765625, + "learning_rate": 0.0021931472458633704, + "loss": 1.2277, + "step": 4682 + }, + { + "epoch": 0.4110249567323384, + "grad_norm": 0.064453125, + "learning_rate": 0.002192758944259449, + "loss": 1.213, + "step": 4683 + }, + { + "epoch": 0.41111272631524093, + "grad_norm": 0.076171875, + "learning_rate": 0.002192370589087366, + "loss": 1.2184, + "step": 4684 + }, + { + "epoch": 0.4112004958981434, + "grad_norm": 0.06201171875, + "learning_rate": 0.002191982180385453, + "loss": 1.1809, + "step": 4685 + }, + { + "epoch": 0.4112882654810459, + "grad_norm": 0.08837890625, + "learning_rate": 0.0021915937181920422, + "loss": 1.238, + "step": 4686 + }, + { + "epoch": 0.4113760350639484, + "grad_norm": 0.078125, + "learning_rate": 0.002191205202545475, + "loss": 1.2676, + "step": 4687 + }, + { + "epoch": 0.41146380464685084, + "grad_norm": 0.05859375, + "learning_rate": 0.002190816633484096, + "loss": 1.2123, + "step": 4688 + }, + { + "epoch": 0.41155157422975336, + "grad_norm": 0.1337890625, + "learning_rate": 0.002190428011046255, + "loss": 1.2053, + "step": 4689 + }, + { + "epoch": 0.4116393438126558, + "grad_norm": 0.064453125, + "learning_rate": 0.002190039335270307, + "loss": 1.2155, + "step": 4690 + }, + { + "epoch": 0.4117271133955583, + "grad_norm": 0.06689453125, + "learning_rate": 0.0021896506061946145, + "loss": 1.2653, + "step": 4691 + }, + { + "epoch": 0.4118148829784608, + "grad_norm": 0.07568359375, + "learning_rate": 0.0021892618238575417, + "loss": 1.2147, + "step": 4692 + }, + { + "epoch": 0.41190265256136327, + "grad_norm": 0.06494140625, + "learning_rate": 0.002188872988297461, + "loss": 1.2205, + "step": 4693 + }, + { + "epoch": 0.4119904221442658, + "grad_norm": 0.107421875, + "learning_rate": 0.0021884840995527485, + "loss": 1.223, + "step": 4694 + }, + { + "epoch": 0.41207819172716825, + "grad_norm": 0.060791015625, + "learning_rate": 0.0021880951576617865, + "loss": 1.2465, + "step": 4695 + }, + { + "epoch": 0.4121659613100707, + "grad_norm": 0.1162109375, + "learning_rate": 0.002187706162662961, + "loss": 1.1954, + "step": 4696 + }, + { + "epoch": 0.41225373089297324, + "grad_norm": 0.06689453125, + "learning_rate": 0.002187317114594665, + "loss": 1.155, + "step": 4697 + }, + { + "epoch": 0.4123415004758757, + "grad_norm": 0.111328125, + "learning_rate": 0.002186928013495296, + "loss": 1.1648, + "step": 4698 + }, + { + "epoch": 0.4124292700587782, + "grad_norm": 0.059814453125, + "learning_rate": 0.002186538859403256, + "loss": 1.196, + "step": 4699 + }, + { + "epoch": 0.4125170396416807, + "grad_norm": 0.10498046875, + "learning_rate": 0.0021861496523569537, + "loss": 1.2401, + "step": 4700 + }, + { + "epoch": 0.41260480922458315, + "grad_norm": 0.05322265625, + "learning_rate": 0.0021857603923948025, + "loss": 1.2838, + "step": 4701 + }, + { + "epoch": 0.41269257880748567, + "grad_norm": 0.072265625, + "learning_rate": 0.0021853710795552207, + "loss": 1.2658, + "step": 4702 + }, + { + "epoch": 0.41278034839038813, + "grad_norm": 0.061767578125, + "learning_rate": 0.002184981713876631, + "loss": 1.1432, + "step": 4703 + }, + { + "epoch": 0.4128681179732906, + "grad_norm": 0.062255859375, + "learning_rate": 0.0021845922953974634, + "loss": 1.2231, + "step": 4704 + }, + { + "epoch": 0.4129558875561931, + "grad_norm": 0.060302734375, + "learning_rate": 0.0021842028241561514, + "loss": 1.2206, + "step": 4705 + }, + { + "epoch": 0.4130436571390956, + "grad_norm": 0.115234375, + "learning_rate": 0.0021838133001911343, + "loss": 1.2641, + "step": 4706 + }, + { + "epoch": 0.4131314267219981, + "grad_norm": 0.06298828125, + "learning_rate": 0.0021834237235408573, + "loss": 1.2306, + "step": 4707 + }, + { + "epoch": 0.41321919630490056, + "grad_norm": 0.12060546875, + "learning_rate": 0.0021830340942437685, + "loss": 1.2655, + "step": 4708 + }, + { + "epoch": 0.413306965887803, + "grad_norm": 0.05712890625, + "learning_rate": 0.002182644412338324, + "loss": 1.2207, + "step": 4709 + }, + { + "epoch": 0.41339473547070554, + "grad_norm": 0.0625, + "learning_rate": 0.002182254677862984, + "loss": 1.2055, + "step": 4710 + }, + { + "epoch": 0.413482505053608, + "grad_norm": 0.0830078125, + "learning_rate": 0.002181864890856213, + "loss": 1.2459, + "step": 4711 + }, + { + "epoch": 0.4135702746365105, + "grad_norm": 0.07275390625, + "learning_rate": 0.002181475051356482, + "loss": 1.2187, + "step": 4712 + }, + { + "epoch": 0.413658044219413, + "grad_norm": 0.06103515625, + "learning_rate": 0.002181085159402266, + "loss": 1.2948, + "step": 4713 + }, + { + "epoch": 0.41374581380231545, + "grad_norm": 0.0576171875, + "learning_rate": 0.0021806952150320463, + "loss": 1.2339, + "step": 4714 + }, + { + "epoch": 0.413833583385218, + "grad_norm": 0.06787109375, + "learning_rate": 0.0021803052182843086, + "loss": 1.2105, + "step": 4715 + }, + { + "epoch": 0.41392135296812044, + "grad_norm": 0.05859375, + "learning_rate": 0.0021799151691975446, + "loss": 1.2213, + "step": 4716 + }, + { + "epoch": 0.4140091225510229, + "grad_norm": 0.06982421875, + "learning_rate": 0.00217952506781025, + "loss": 1.2304, + "step": 4717 + }, + { + "epoch": 0.4140968921339254, + "grad_norm": 0.08642578125, + "learning_rate": 0.002179134914160926, + "loss": 1.2412, + "step": 4718 + }, + { + "epoch": 0.4141846617168279, + "grad_norm": 0.059326171875, + "learning_rate": 0.00217874470828808, + "loss": 1.2214, + "step": 4719 + }, + { + "epoch": 0.4142724312997304, + "grad_norm": 0.06396484375, + "learning_rate": 0.0021783544502302237, + "loss": 1.2616, + "step": 4720 + }, + { + "epoch": 0.41436020088263287, + "grad_norm": 0.0771484375, + "learning_rate": 0.0021779641400258734, + "loss": 1.234, + "step": 4721 + }, + { + "epoch": 0.41444797046553533, + "grad_norm": 0.06494140625, + "learning_rate": 0.0021775737777135515, + "loss": 1.2485, + "step": 4722 + }, + { + "epoch": 0.41453574004843785, + "grad_norm": 0.08447265625, + "learning_rate": 0.002177183363331785, + "loss": 1.2255, + "step": 4723 + }, + { + "epoch": 0.4146235096313403, + "grad_norm": 0.0966796875, + "learning_rate": 0.002176792896919107, + "loss": 1.2584, + "step": 4724 + }, + { + "epoch": 0.41471127921424283, + "grad_norm": 0.0908203125, + "learning_rate": 0.0021764023785140543, + "loss": 1.2259, + "step": 4725 + }, + { + "epoch": 0.4147990487971453, + "grad_norm": 0.099609375, + "learning_rate": 0.00217601180815517, + "loss": 1.1945, + "step": 4726 + }, + { + "epoch": 0.41488681838004776, + "grad_norm": 0.09375, + "learning_rate": 0.002175621185881001, + "loss": 1.232, + "step": 4727 + }, + { + "epoch": 0.4149745879629503, + "grad_norm": 0.0908203125, + "learning_rate": 0.0021752305117301012, + "loss": 1.174, + "step": 4728 + }, + { + "epoch": 0.41506235754585274, + "grad_norm": 0.0712890625, + "learning_rate": 0.002174839785741028, + "loss": 1.2413, + "step": 4729 + }, + { + "epoch": 0.4151501271287552, + "grad_norm": 0.06298828125, + "learning_rate": 0.0021744490079523443, + "loss": 1.2116, + "step": 4730 + }, + { + "epoch": 0.41523789671165773, + "grad_norm": 0.10302734375, + "learning_rate": 0.002174058178402619, + "loss": 1.1809, + "step": 4731 + }, + { + "epoch": 0.4153256662945602, + "grad_norm": 0.062255859375, + "learning_rate": 0.0021736672971304255, + "loss": 1.1998, + "step": 4732 + }, + { + "epoch": 0.4154134358774627, + "grad_norm": 0.12158203125, + "learning_rate": 0.002173276364174341, + "loss": 1.2295, + "step": 4733 + }, + { + "epoch": 0.4155012054603652, + "grad_norm": 0.0810546875, + "learning_rate": 0.00217288537957295, + "loss": 1.19, + "step": 4734 + }, + { + "epoch": 0.41558897504326764, + "grad_norm": 0.0771484375, + "learning_rate": 0.002172494343364841, + "loss": 1.2175, + "step": 4735 + }, + { + "epoch": 0.41567674462617016, + "grad_norm": 0.0849609375, + "learning_rate": 0.0021721032555886083, + "loss": 1.1389, + "step": 4736 + }, + { + "epoch": 0.4157645142090726, + "grad_norm": 0.05908203125, + "learning_rate": 0.00217171211628285, + "loss": 1.2296, + "step": 4737 + }, + { + "epoch": 0.41585228379197514, + "grad_norm": 0.09423828125, + "learning_rate": 0.002171320925486169, + "loss": 1.2218, + "step": 4738 + }, + { + "epoch": 0.4159400533748776, + "grad_norm": 0.076171875, + "learning_rate": 0.0021709296832371763, + "loss": 1.189, + "step": 4739 + }, + { + "epoch": 0.41602782295778007, + "grad_norm": 0.1455078125, + "learning_rate": 0.0021705383895744856, + "loss": 1.259, + "step": 4740 + }, + { + "epoch": 0.4161155925406826, + "grad_norm": 0.05859375, + "learning_rate": 0.002170147044536715, + "loss": 1.154, + "step": 4741 + }, + { + "epoch": 0.41620336212358505, + "grad_norm": 0.11083984375, + "learning_rate": 0.002169755648162489, + "loss": 1.204, + "step": 4742 + }, + { + "epoch": 0.4162911317064875, + "grad_norm": 0.12060546875, + "learning_rate": 0.0021693642004904376, + "loss": 1.2167, + "step": 4743 + }, + { + "epoch": 0.41637890128939004, + "grad_norm": 0.12255859375, + "learning_rate": 0.0021689727015591943, + "loss": 1.2386, + "step": 4744 + }, + { + "epoch": 0.4164666708722925, + "grad_norm": 0.1279296875, + "learning_rate": 0.0021685811514073985, + "loss": 1.2215, + "step": 4745 + }, + { + "epoch": 0.416554440455195, + "grad_norm": 0.0634765625, + "learning_rate": 0.0021681895500736954, + "loss": 1.1829, + "step": 4746 + }, + { + "epoch": 0.4166422100380975, + "grad_norm": 0.1865234375, + "learning_rate": 0.002167797897596734, + "loss": 1.219, + "step": 4747 + }, + { + "epoch": 0.41672997962099995, + "grad_norm": 0.059326171875, + "learning_rate": 0.0021674061940151687, + "loss": 1.306, + "step": 4748 + }, + { + "epoch": 0.41681774920390247, + "grad_norm": 0.14453125, + "learning_rate": 0.00216701443936766, + "loss": 1.2115, + "step": 4749 + }, + { + "epoch": 0.41690551878680493, + "grad_norm": 0.07568359375, + "learning_rate": 0.002166622633692871, + "loss": 1.2309, + "step": 4750 + }, + { + "epoch": 0.41699328836970745, + "grad_norm": 0.09130859375, + "learning_rate": 0.0021662307770294728, + "loss": 1.1403, + "step": 4751 + }, + { + "epoch": 0.4170810579526099, + "grad_norm": 0.09814453125, + "learning_rate": 0.0021658388694161396, + "loss": 1.2352, + "step": 4752 + }, + { + "epoch": 0.4171688275355124, + "grad_norm": 0.12890625, + "learning_rate": 0.0021654469108915507, + "loss": 1.2532, + "step": 4753 + }, + { + "epoch": 0.4172565971184149, + "grad_norm": 0.053466796875, + "learning_rate": 0.0021650549014943913, + "loss": 1.136, + "step": 4754 + }, + { + "epoch": 0.41734436670131736, + "grad_norm": 0.061767578125, + "learning_rate": 0.0021646628412633514, + "loss": 1.2391, + "step": 4755 + }, + { + "epoch": 0.4174321362842199, + "grad_norm": 0.09716796875, + "learning_rate": 0.002164270730237125, + "loss": 1.2304, + "step": 4756 + }, + { + "epoch": 0.41751990586712234, + "grad_norm": 0.059326171875, + "learning_rate": 0.0021638785684544126, + "loss": 1.2285, + "step": 4757 + }, + { + "epoch": 0.4176076754500248, + "grad_norm": 0.09130859375, + "learning_rate": 0.002163486355953919, + "loss": 1.267, + "step": 4758 + }, + { + "epoch": 0.4176954450329273, + "grad_norm": 0.057861328125, + "learning_rate": 0.0021630940927743537, + "loss": 1.2449, + "step": 4759 + }, + { + "epoch": 0.4177832146158298, + "grad_norm": 0.10400390625, + "learning_rate": 0.0021627017789544317, + "loss": 1.2094, + "step": 4760 + }, + { + "epoch": 0.41787098419873225, + "grad_norm": 0.054931640625, + "learning_rate": 0.0021623094145328727, + "loss": 1.2583, + "step": 4761 + }, + { + "epoch": 0.4179587537816348, + "grad_norm": 0.08642578125, + "learning_rate": 0.002161916999548402, + "loss": 1.2617, + "step": 4762 + }, + { + "epoch": 0.41804652336453724, + "grad_norm": 0.07421875, + "learning_rate": 0.0021615245340397484, + "loss": 1.2177, + "step": 4763 + }, + { + "epoch": 0.41813429294743976, + "grad_norm": 0.10888671875, + "learning_rate": 0.002161132018045647, + "loss": 1.1464, + "step": 4764 + }, + { + "epoch": 0.4182220625303422, + "grad_norm": 0.058349609375, + "learning_rate": 0.0021607394516048387, + "loss": 1.1842, + "step": 4765 + }, + { + "epoch": 0.4183098321132447, + "grad_norm": 0.08935546875, + "learning_rate": 0.002160346834756067, + "loss": 1.2119, + "step": 4766 + }, + { + "epoch": 0.4183976016961472, + "grad_norm": 0.1337890625, + "learning_rate": 0.0021599541675380823, + "loss": 1.2508, + "step": 4767 + }, + { + "epoch": 0.41848537127904967, + "grad_norm": 0.072265625, + "learning_rate": 0.0021595614499896384, + "loss": 1.2805, + "step": 4768 + }, + { + "epoch": 0.4185731408619522, + "grad_norm": 0.1552734375, + "learning_rate": 0.002159168682149496, + "loss": 1.2457, + "step": 4769 + }, + { + "epoch": 0.41866091044485465, + "grad_norm": 0.07177734375, + "learning_rate": 0.0021587758640564197, + "loss": 1.2406, + "step": 4770 + }, + { + "epoch": 0.4187486800277571, + "grad_norm": 0.1748046875, + "learning_rate": 0.0021583829957491783, + "loss": 1.2481, + "step": 4771 + }, + { + "epoch": 0.41883644961065963, + "grad_norm": 0.0673828125, + "learning_rate": 0.002157990077266547, + "loss": 1.2297, + "step": 4772 + }, + { + "epoch": 0.4189242191935621, + "grad_norm": 0.12158203125, + "learning_rate": 0.002157597108647305, + "loss": 1.2477, + "step": 4773 + }, + { + "epoch": 0.41901198877646456, + "grad_norm": 0.064453125, + "learning_rate": 0.002157204089930237, + "loss": 1.197, + "step": 4774 + }, + { + "epoch": 0.4190997583593671, + "grad_norm": 0.08984375, + "learning_rate": 0.0021568110211541325, + "loss": 1.2114, + "step": 4775 + }, + { + "epoch": 0.41918752794226954, + "grad_norm": 0.054931640625, + "learning_rate": 0.0021564179023577847, + "loss": 1.189, + "step": 4776 + }, + { + "epoch": 0.41927529752517206, + "grad_norm": 0.052490234375, + "learning_rate": 0.0021560247335799944, + "loss": 1.2591, + "step": 4777 + }, + { + "epoch": 0.4193630671080745, + "grad_norm": 0.11083984375, + "learning_rate": 0.002155631514859565, + "loss": 1.2123, + "step": 4778 + }, + { + "epoch": 0.419450836690977, + "grad_norm": 0.059326171875, + "learning_rate": 0.0021552382462353054, + "loss": 1.2137, + "step": 4779 + }, + { + "epoch": 0.4195386062738795, + "grad_norm": 0.07568359375, + "learning_rate": 0.0021548449277460306, + "loss": 1.2143, + "step": 4780 + }, + { + "epoch": 0.419626375856782, + "grad_norm": 0.053955078125, + "learning_rate": 0.002154451559430559, + "loss": 1.2746, + "step": 4781 + }, + { + "epoch": 0.4197141454396845, + "grad_norm": 0.064453125, + "learning_rate": 0.0021540581413277138, + "loss": 1.1956, + "step": 4782 + }, + { + "epoch": 0.41980191502258696, + "grad_norm": 0.057861328125, + "learning_rate": 0.002153664673476325, + "loss": 1.2191, + "step": 4783 + }, + { + "epoch": 0.4198896846054894, + "grad_norm": 0.08056640625, + "learning_rate": 0.002153271155915226, + "loss": 1.3266, + "step": 4784 + }, + { + "epoch": 0.41997745418839194, + "grad_norm": 0.09375, + "learning_rate": 0.002152877588683255, + "loss": 1.2224, + "step": 4785 + }, + { + "epoch": 0.4200652237712944, + "grad_norm": 0.08203125, + "learning_rate": 0.0021524839718192563, + "loss": 1.1673, + "step": 4786 + }, + { + "epoch": 0.42015299335419687, + "grad_norm": 0.083984375, + "learning_rate": 0.002152090305362077, + "loss": 1.2373, + "step": 4787 + }, + { + "epoch": 0.4202407629370994, + "grad_norm": 0.08154296875, + "learning_rate": 0.002151696589350571, + "loss": 1.1805, + "step": 4788 + }, + { + "epoch": 0.42032853252000185, + "grad_norm": 0.0810546875, + "learning_rate": 0.002151302823823598, + "loss": 1.2032, + "step": 4789 + }, + { + "epoch": 0.42041630210290437, + "grad_norm": 0.130859375, + "learning_rate": 0.002150909008820019, + "loss": 1.2398, + "step": 4790 + }, + { + "epoch": 0.42050407168580684, + "grad_norm": 0.1357421875, + "learning_rate": 0.002150515144378703, + "loss": 1.2101, + "step": 4791 + }, + { + "epoch": 0.4205918412687093, + "grad_norm": 0.1240234375, + "learning_rate": 0.002150121230538523, + "loss": 1.2529, + "step": 4792 + }, + { + "epoch": 0.4206796108516118, + "grad_norm": 0.1298828125, + "learning_rate": 0.0021497272673383556, + "loss": 1.2364, + "step": 4793 + }, + { + "epoch": 0.4207673804345143, + "grad_norm": 0.09423828125, + "learning_rate": 0.0021493332548170848, + "loss": 1.2102, + "step": 4794 + }, + { + "epoch": 0.4208551500174168, + "grad_norm": 0.07373046875, + "learning_rate": 0.0021489391930135976, + "loss": 1.2395, + "step": 4795 + }, + { + "epoch": 0.42094291960031927, + "grad_norm": 0.08984375, + "learning_rate": 0.002148545081966786, + "loss": 1.2086, + "step": 4796 + }, + { + "epoch": 0.42103068918322173, + "grad_norm": 0.06103515625, + "learning_rate": 0.0021481509217155478, + "loss": 1.1661, + "step": 4797 + }, + { + "epoch": 0.42111845876612425, + "grad_norm": 0.07763671875, + "learning_rate": 0.002147756712298784, + "loss": 1.1985, + "step": 4798 + }, + { + "epoch": 0.4212062283490267, + "grad_norm": 0.08447265625, + "learning_rate": 0.0021473624537554025, + "loss": 1.1822, + "step": 4799 + }, + { + "epoch": 0.4212939979319292, + "grad_norm": 0.05859375, + "learning_rate": 0.0021469681461243157, + "loss": 1.2171, + "step": 4800 + }, + { + "epoch": 0.4213817675148317, + "grad_norm": 0.12255859375, + "learning_rate": 0.0021465737894444384, + "loss": 1.2201, + "step": 4801 + }, + { + "epoch": 0.42146953709773416, + "grad_norm": 0.08935546875, + "learning_rate": 0.0021461793837546927, + "loss": 1.2769, + "step": 4802 + }, + { + "epoch": 0.4215573066806367, + "grad_norm": 0.1015625, + "learning_rate": 0.0021457849290940053, + "loss": 1.2378, + "step": 4803 + }, + { + "epoch": 0.42164507626353914, + "grad_norm": 0.11865234375, + "learning_rate": 0.002145390425501308, + "loss": 1.2248, + "step": 4804 + }, + { + "epoch": 0.4217328458464416, + "grad_norm": 0.058349609375, + "learning_rate": 0.0021449958730155347, + "loss": 1.2129, + "step": 4805 + }, + { + "epoch": 0.4218206154293441, + "grad_norm": 0.1328125, + "learning_rate": 0.0021446012716756276, + "loss": 1.201, + "step": 4806 + }, + { + "epoch": 0.4219083850122466, + "grad_norm": 0.068359375, + "learning_rate": 0.0021442066215205326, + "loss": 1.2552, + "step": 4807 + }, + { + "epoch": 0.4219961545951491, + "grad_norm": 0.062255859375, + "learning_rate": 0.002143811922589199, + "loss": 1.2031, + "step": 4808 + }, + { + "epoch": 0.4220839241780516, + "grad_norm": 0.1083984375, + "learning_rate": 0.0021434171749205827, + "loss": 1.2108, + "step": 4809 + }, + { + "epoch": 0.42217169376095404, + "grad_norm": 0.056396484375, + "learning_rate": 0.002143022378553644, + "loss": 1.2226, + "step": 4810 + }, + { + "epoch": 0.42225946334385656, + "grad_norm": 0.0830078125, + "learning_rate": 0.0021426275335273462, + "loss": 1.232, + "step": 4811 + }, + { + "epoch": 0.422347232926759, + "grad_norm": 0.0732421875, + "learning_rate": 0.0021422326398806615, + "loss": 1.2116, + "step": 4812 + }, + { + "epoch": 0.4224350025096615, + "grad_norm": 0.09326171875, + "learning_rate": 0.0021418376976525618, + "loss": 1.2245, + "step": 4813 + }, + { + "epoch": 0.422522772092564, + "grad_norm": 0.07861328125, + "learning_rate": 0.002141442706882028, + "loss": 1.203, + "step": 4814 + }, + { + "epoch": 0.42261054167546647, + "grad_norm": 0.05419921875, + "learning_rate": 0.002141047667608043, + "loss": 1.2173, + "step": 4815 + }, + { + "epoch": 0.422698311258369, + "grad_norm": 0.11376953125, + "learning_rate": 0.002140652579869597, + "loss": 1.1809, + "step": 4816 + }, + { + "epoch": 0.42278608084127145, + "grad_norm": 0.06201171875, + "learning_rate": 0.0021402574437056824, + "loss": 1.2839, + "step": 4817 + }, + { + "epoch": 0.4228738504241739, + "grad_norm": 0.0791015625, + "learning_rate": 0.002139862259155298, + "loss": 1.2676, + "step": 4818 + }, + { + "epoch": 0.42296162000707643, + "grad_norm": 0.057861328125, + "learning_rate": 0.0021394670262574467, + "loss": 1.225, + "step": 4819 + }, + { + "epoch": 0.4230493895899789, + "grad_norm": 0.055419921875, + "learning_rate": 0.002139071745051137, + "loss": 1.1692, + "step": 4820 + }, + { + "epoch": 0.4231371591728814, + "grad_norm": 0.06494140625, + "learning_rate": 0.002138676415575381, + "loss": 1.2702, + "step": 4821 + }, + { + "epoch": 0.4232249287557839, + "grad_norm": 0.0576171875, + "learning_rate": 0.002138281037869196, + "loss": 1.2643, + "step": 4822 + }, + { + "epoch": 0.42331269833868634, + "grad_norm": 0.06103515625, + "learning_rate": 0.002137885611971605, + "loss": 1.289, + "step": 4823 + }, + { + "epoch": 0.42340046792158886, + "grad_norm": 0.052001953125, + "learning_rate": 0.0021374901379216343, + "loss": 1.213, + "step": 4824 + }, + { + "epoch": 0.4234882375044913, + "grad_norm": 0.0712890625, + "learning_rate": 0.0021370946157583163, + "loss": 1.2003, + "step": 4825 + }, + { + "epoch": 0.42357600708739385, + "grad_norm": 0.06640625, + "learning_rate": 0.002136699045520687, + "loss": 1.1635, + "step": 4826 + }, + { + "epoch": 0.4236637766702963, + "grad_norm": 0.06103515625, + "learning_rate": 0.002136303427247788, + "loss": 1.212, + "step": 4827 + }, + { + "epoch": 0.4237515462531988, + "grad_norm": 0.052001953125, + "learning_rate": 0.0021359077609786645, + "loss": 1.1596, + "step": 4828 + }, + { + "epoch": 0.4238393158361013, + "grad_norm": 0.0634765625, + "learning_rate": 0.002135512046752367, + "loss": 1.2204, + "step": 4829 + }, + { + "epoch": 0.42392708541900376, + "grad_norm": 0.059326171875, + "learning_rate": 0.0021351162846079525, + "loss": 1.1735, + "step": 4830 + }, + { + "epoch": 0.4240148550019062, + "grad_norm": 0.09765625, + "learning_rate": 0.00213472047458448, + "loss": 1.2176, + "step": 4831 + }, + { + "epoch": 0.42410262458480874, + "grad_norm": 0.07080078125, + "learning_rate": 0.002134324616721015, + "loss": 1.205, + "step": 4832 + }, + { + "epoch": 0.4241903941677112, + "grad_norm": 0.1142578125, + "learning_rate": 0.0021339287110566257, + "loss": 1.2208, + "step": 4833 + }, + { + "epoch": 0.4242781637506137, + "grad_norm": 0.0546875, + "learning_rate": 0.0021335327576303877, + "loss": 1.2623, + "step": 4834 + }, + { + "epoch": 0.4243659333335162, + "grad_norm": 0.09716796875, + "learning_rate": 0.00213313675648138, + "loss": 1.2083, + "step": 4835 + }, + { + "epoch": 0.42445370291641865, + "grad_norm": 0.0693359375, + "learning_rate": 0.0021327407076486863, + "loss": 1.2316, + "step": 4836 + }, + { + "epoch": 0.42454147249932117, + "grad_norm": 0.083984375, + "learning_rate": 0.0021323446111713947, + "loss": 1.2241, + "step": 4837 + }, + { + "epoch": 0.42462924208222363, + "grad_norm": 0.05810546875, + "learning_rate": 0.002131948467088599, + "loss": 1.2591, + "step": 4838 + }, + { + "epoch": 0.42471701166512615, + "grad_norm": 0.068359375, + "learning_rate": 0.0021315522754393953, + "loss": 1.2407, + "step": 4839 + }, + { + "epoch": 0.4248047812480286, + "grad_norm": 0.058349609375, + "learning_rate": 0.0021311560362628885, + "loss": 1.1952, + "step": 4840 + }, + { + "epoch": 0.4248925508309311, + "grad_norm": 0.0732421875, + "learning_rate": 0.002130759749598184, + "loss": 1.1734, + "step": 4841 + }, + { + "epoch": 0.4249803204138336, + "grad_norm": 0.0849609375, + "learning_rate": 0.0021303634154843953, + "loss": 1.2182, + "step": 4842 + }, + { + "epoch": 0.42506808999673606, + "grad_norm": 0.05517578125, + "learning_rate": 0.002129967033960638, + "loss": 1.2365, + "step": 4843 + }, + { + "epoch": 0.42515585957963853, + "grad_norm": 0.06982421875, + "learning_rate": 0.002129570605066033, + "loss": 1.2147, + "step": 4844 + }, + { + "epoch": 0.42524362916254105, + "grad_norm": 0.05517578125, + "learning_rate": 0.0021291741288397077, + "loss": 1.1792, + "step": 4845 + }, + { + "epoch": 0.4253313987454435, + "grad_norm": 0.064453125, + "learning_rate": 0.002128777605320792, + "loss": 1.1898, + "step": 4846 + }, + { + "epoch": 0.42541916832834603, + "grad_norm": 0.078125, + "learning_rate": 0.00212838103454842, + "loss": 1.2829, + "step": 4847 + }, + { + "epoch": 0.4255069379112485, + "grad_norm": 0.07080078125, + "learning_rate": 0.0021279844165617333, + "loss": 1.2568, + "step": 4848 + }, + { + "epoch": 0.42559470749415096, + "grad_norm": 0.07080078125, + "learning_rate": 0.002127587751399876, + "loss": 1.1785, + "step": 4849 + }, + { + "epoch": 0.4256824770770535, + "grad_norm": 0.055419921875, + "learning_rate": 0.0021271910391019973, + "loss": 1.2474, + "step": 4850 + }, + { + "epoch": 0.42577024665995594, + "grad_norm": 0.1044921875, + "learning_rate": 0.0021267942797072513, + "loss": 1.2818, + "step": 4851 + }, + { + "epoch": 0.42585801624285846, + "grad_norm": 0.054443359375, + "learning_rate": 0.0021263974732547964, + "loss": 1.21, + "step": 4852 + }, + { + "epoch": 0.4259457858257609, + "grad_norm": 0.09521484375, + "learning_rate": 0.0021260006197837958, + "loss": 1.2483, + "step": 4853 + }, + { + "epoch": 0.4260335554086634, + "grad_norm": 0.06494140625, + "learning_rate": 0.0021256037193334173, + "loss": 1.2196, + "step": 4854 + }, + { + "epoch": 0.4261213249915659, + "grad_norm": 0.0654296875, + "learning_rate": 0.0021252067719428345, + "loss": 1.2145, + "step": 4855 + }, + { + "epoch": 0.4262090945744684, + "grad_norm": 0.057861328125, + "learning_rate": 0.002124809777651222, + "loss": 1.2299, + "step": 4856 + }, + { + "epoch": 0.42629686415737084, + "grad_norm": 0.06884765625, + "learning_rate": 0.0021244127364977647, + "loss": 1.2151, + "step": 4857 + }, + { + "epoch": 0.42638463374027336, + "grad_norm": 0.060546875, + "learning_rate": 0.002124015648521647, + "loss": 1.2075, + "step": 4858 + }, + { + "epoch": 0.4264724033231758, + "grad_norm": 0.06787109375, + "learning_rate": 0.0021236185137620597, + "loss": 1.2226, + "step": 4859 + }, + { + "epoch": 0.42656017290607834, + "grad_norm": 0.08935546875, + "learning_rate": 0.0021232213322581995, + "loss": 1.2399, + "step": 4860 + }, + { + "epoch": 0.4266479424889808, + "grad_norm": 0.058837890625, + "learning_rate": 0.0021228241040492668, + "loss": 1.2479, + "step": 4861 + }, + { + "epoch": 0.42673571207188327, + "grad_norm": 0.0908203125, + "learning_rate": 0.0021224268291744654, + "loss": 1.2049, + "step": 4862 + }, + { + "epoch": 0.4268234816547858, + "grad_norm": 0.083984375, + "learning_rate": 0.0021220295076730053, + "loss": 1.2894, + "step": 4863 + }, + { + "epoch": 0.42691125123768825, + "grad_norm": 0.06494140625, + "learning_rate": 0.0021216321395841004, + "loss": 1.1894, + "step": 4864 + }, + { + "epoch": 0.42699902082059077, + "grad_norm": 0.1005859375, + "learning_rate": 0.0021212347249469697, + "loss": 1.279, + "step": 4865 + }, + { + "epoch": 0.42708679040349323, + "grad_norm": 0.058837890625, + "learning_rate": 0.002120837263800836, + "loss": 1.2459, + "step": 4866 + }, + { + "epoch": 0.4271745599863957, + "grad_norm": 0.09326171875, + "learning_rate": 0.002120439756184928, + "loss": 1.1781, + "step": 4867 + }, + { + "epoch": 0.4272623295692982, + "grad_norm": 0.072265625, + "learning_rate": 0.002120042202138477, + "loss": 1.2345, + "step": 4868 + }, + { + "epoch": 0.4273500991522007, + "grad_norm": 0.072265625, + "learning_rate": 0.0021196446017007205, + "loss": 1.2378, + "step": 4869 + }, + { + "epoch": 0.42743786873510314, + "grad_norm": 0.06396484375, + "learning_rate": 0.0021192469549109, + "loss": 1.2194, + "step": 4870 + }, + { + "epoch": 0.42752563831800566, + "grad_norm": 0.06640625, + "learning_rate": 0.002118849261808262, + "loss": 1.1683, + "step": 4871 + }, + { + "epoch": 0.4276134079009081, + "grad_norm": 0.0546875, + "learning_rate": 0.002118451522432057, + "loss": 1.2506, + "step": 4872 + }, + { + "epoch": 0.42770117748381065, + "grad_norm": 0.0654296875, + "learning_rate": 0.0021180537368215404, + "loss": 1.2513, + "step": 4873 + }, + { + "epoch": 0.4277889470667131, + "grad_norm": 0.06201171875, + "learning_rate": 0.0021176559050159714, + "loss": 1.2245, + "step": 4874 + }, + { + "epoch": 0.4278767166496156, + "grad_norm": 0.055419921875, + "learning_rate": 0.002117258027054616, + "loss": 1.1522, + "step": 4875 + }, + { + "epoch": 0.4279644862325181, + "grad_norm": 0.0546875, + "learning_rate": 0.002116860102976741, + "loss": 1.1851, + "step": 4876 + }, + { + "epoch": 0.42805225581542056, + "grad_norm": 0.052978515625, + "learning_rate": 0.002116462132821622, + "loss": 1.2657, + "step": 4877 + }, + { + "epoch": 0.4281400253983231, + "grad_norm": 0.05908203125, + "learning_rate": 0.002116064116628536, + "loss": 1.2087, + "step": 4878 + }, + { + "epoch": 0.42822779498122554, + "grad_norm": 0.06298828125, + "learning_rate": 0.002115666054436765, + "loss": 1.3052, + "step": 4879 + }, + { + "epoch": 0.428315564564128, + "grad_norm": 0.10302734375, + "learning_rate": 0.0021152679462855977, + "loss": 1.2098, + "step": 4880 + }, + { + "epoch": 0.4284033341470305, + "grad_norm": 0.103515625, + "learning_rate": 0.002114869792214326, + "loss": 1.2051, + "step": 4881 + }, + { + "epoch": 0.428491103729933, + "grad_norm": 0.060546875, + "learning_rate": 0.0021144715922622433, + "loss": 1.2361, + "step": 4882 + }, + { + "epoch": 0.42857887331283545, + "grad_norm": 0.059326171875, + "learning_rate": 0.002114073346468654, + "loss": 1.2149, + "step": 4883 + }, + { + "epoch": 0.42866664289573797, + "grad_norm": 0.0849609375, + "learning_rate": 0.0021136750548728604, + "loss": 1.2524, + "step": 4884 + }, + { + "epoch": 0.42875441247864043, + "grad_norm": 0.09765625, + "learning_rate": 0.0021132767175141742, + "loss": 1.2889, + "step": 4885 + }, + { + "epoch": 0.42884218206154295, + "grad_norm": 0.060302734375, + "learning_rate": 0.0021128783344319087, + "loss": 1.2189, + "step": 4886 + }, + { + "epoch": 0.4289299516444454, + "grad_norm": 0.09130859375, + "learning_rate": 0.0021124799056653834, + "loss": 1.259, + "step": 4887 + }, + { + "epoch": 0.4290177212273479, + "grad_norm": 0.052490234375, + "learning_rate": 0.002112081431253921, + "loss": 1.207, + "step": 4888 + }, + { + "epoch": 0.4291054908102504, + "grad_norm": 0.05810546875, + "learning_rate": 0.00211168291123685, + "loss": 1.2211, + "step": 4889 + }, + { + "epoch": 0.42919326039315286, + "grad_norm": 0.060546875, + "learning_rate": 0.0021112843456535025, + "loss": 1.2211, + "step": 4890 + }, + { + "epoch": 0.4292810299760554, + "grad_norm": 0.0556640625, + "learning_rate": 0.002110885734543215, + "loss": 1.2225, + "step": 4891 + }, + { + "epoch": 0.42936879955895785, + "grad_norm": 0.051025390625, + "learning_rate": 0.0021104870779453293, + "loss": 1.2516, + "step": 4892 + }, + { + "epoch": 0.4294565691418603, + "grad_norm": 0.05517578125, + "learning_rate": 0.0021100883758991915, + "loss": 1.192, + "step": 4893 + }, + { + "epoch": 0.42954433872476283, + "grad_norm": 0.057373046875, + "learning_rate": 0.002109689628444151, + "loss": 1.2158, + "step": 4894 + }, + { + "epoch": 0.4296321083076653, + "grad_norm": 0.0966796875, + "learning_rate": 0.002109290835619563, + "loss": 1.2736, + "step": 4895 + }, + { + "epoch": 0.4297198778905678, + "grad_norm": 0.06494140625, + "learning_rate": 0.0021088919974647873, + "loss": 1.2297, + "step": 4896 + }, + { + "epoch": 0.4298076474734703, + "grad_norm": 0.062255859375, + "learning_rate": 0.002108493114019187, + "loss": 1.2263, + "step": 4897 + }, + { + "epoch": 0.42989541705637274, + "grad_norm": 0.0810546875, + "learning_rate": 0.00210809418532213, + "loss": 1.2462, + "step": 4898 + }, + { + "epoch": 0.42998318663927526, + "grad_norm": 0.1650390625, + "learning_rate": 0.0021076952114129897, + "loss": 1.2258, + "step": 4899 + }, + { + "epoch": 0.4300709562221777, + "grad_norm": 0.06982421875, + "learning_rate": 0.0021072961923311435, + "loss": 1.2181, + "step": 4900 + }, + { + "epoch": 0.4301587258050802, + "grad_norm": 0.1376953125, + "learning_rate": 0.002106897128115972, + "loss": 1.1706, + "step": 4901 + }, + { + "epoch": 0.4302464953879827, + "grad_norm": 0.06005859375, + "learning_rate": 0.0021064980188068624, + "loss": 1.2507, + "step": 4902 + }, + { + "epoch": 0.43033426497088517, + "grad_norm": 0.169921875, + "learning_rate": 0.0021060988644432043, + "loss": 1.2778, + "step": 4903 + }, + { + "epoch": 0.4304220345537877, + "grad_norm": 0.05517578125, + "learning_rate": 0.002105699665064393, + "loss": 1.2409, + "step": 4904 + }, + { + "epoch": 0.43050980413669016, + "grad_norm": 0.11083984375, + "learning_rate": 0.0021053004207098277, + "loss": 1.1897, + "step": 4905 + }, + { + "epoch": 0.4305975737195926, + "grad_norm": 0.08154296875, + "learning_rate": 0.002104901131418913, + "loss": 1.2217, + "step": 4906 + }, + { + "epoch": 0.43068534330249514, + "grad_norm": 0.07666015625, + "learning_rate": 0.002104501797231056, + "loss": 1.1943, + "step": 4907 + }, + { + "epoch": 0.4307731128853976, + "grad_norm": 0.10986328125, + "learning_rate": 0.0021041024181856697, + "loss": 1.2348, + "step": 4908 + }, + { + "epoch": 0.4308608824683001, + "grad_norm": 0.05810546875, + "learning_rate": 0.0021037029943221717, + "loss": 1.2034, + "step": 4909 + }, + { + "epoch": 0.4309486520512026, + "grad_norm": 0.1337890625, + "learning_rate": 0.002103303525679984, + "loss": 1.2225, + "step": 4910 + }, + { + "epoch": 0.43103642163410505, + "grad_norm": 0.061279296875, + "learning_rate": 0.002102904012298531, + "loss": 1.2216, + "step": 4911 + }, + { + "epoch": 0.43112419121700757, + "grad_norm": 0.126953125, + "learning_rate": 0.002102504454217245, + "loss": 1.1379, + "step": 4912 + }, + { + "epoch": 0.43121196079991003, + "grad_norm": 0.0732421875, + "learning_rate": 0.00210210485147556, + "loss": 1.1809, + "step": 4913 + }, + { + "epoch": 0.4312997303828125, + "grad_norm": 0.087890625, + "learning_rate": 0.002101705204112914, + "loss": 1.2513, + "step": 4914 + }, + { + "epoch": 0.431387499965715, + "grad_norm": 0.06298828125, + "learning_rate": 0.0021013055121687518, + "loss": 1.1985, + "step": 4915 + }, + { + "epoch": 0.4314752695486175, + "grad_norm": 0.07275390625, + "learning_rate": 0.0021009057756825223, + "loss": 1.3088, + "step": 4916 + }, + { + "epoch": 0.43156303913152, + "grad_norm": 0.068359375, + "learning_rate": 0.002100505994693676, + "loss": 1.2535, + "step": 4917 + }, + { + "epoch": 0.43165080871442246, + "grad_norm": 0.07373046875, + "learning_rate": 0.0021001061692416706, + "loss": 1.3011, + "step": 4918 + }, + { + "epoch": 0.4317385782973249, + "grad_norm": 0.059326171875, + "learning_rate": 0.0020997062993659676, + "loss": 1.286, + "step": 4919 + }, + { + "epoch": 0.43182634788022745, + "grad_norm": 0.061279296875, + "learning_rate": 0.0020993063851060317, + "loss": 1.2998, + "step": 4920 + }, + { + "epoch": 0.4319141174631299, + "grad_norm": 0.056640625, + "learning_rate": 0.002098906426501334, + "loss": 1.1871, + "step": 4921 + }, + { + "epoch": 0.43200188704603243, + "grad_norm": 0.05859375, + "learning_rate": 0.002098506423591348, + "loss": 1.2161, + "step": 4922 + }, + { + "epoch": 0.4320896566289349, + "grad_norm": 0.0673828125, + "learning_rate": 0.0020981063764155526, + "loss": 1.1934, + "step": 4923 + }, + { + "epoch": 0.43217742621183736, + "grad_norm": 0.058837890625, + "learning_rate": 0.0020977062850134317, + "loss": 1.2146, + "step": 4924 + }, + { + "epoch": 0.4322651957947399, + "grad_norm": 0.11376953125, + "learning_rate": 0.0020973061494244704, + "loss": 1.221, + "step": 4925 + }, + { + "epoch": 0.43235296537764234, + "grad_norm": 0.0654296875, + "learning_rate": 0.0020969059696881636, + "loss": 1.2071, + "step": 4926 + }, + { + "epoch": 0.4324407349605448, + "grad_norm": 0.072265625, + "learning_rate": 0.002096505745844005, + "loss": 1.1928, + "step": 4927 + }, + { + "epoch": 0.4325285045434473, + "grad_norm": 0.0595703125, + "learning_rate": 0.0020961054779314965, + "loss": 1.2045, + "step": 4928 + }, + { + "epoch": 0.4326162741263498, + "grad_norm": 0.068359375, + "learning_rate": 0.0020957051659901416, + "loss": 1.2328, + "step": 4929 + }, + { + "epoch": 0.4327040437092523, + "grad_norm": 0.06396484375, + "learning_rate": 0.0020953048100594515, + "loss": 1.2063, + "step": 4930 + }, + { + "epoch": 0.43279181329215477, + "grad_norm": 0.095703125, + "learning_rate": 0.002094904410178938, + "loss": 1.23, + "step": 4931 + }, + { + "epoch": 0.43287958287505723, + "grad_norm": 0.06982421875, + "learning_rate": 0.0020945039663881203, + "loss": 1.1795, + "step": 4932 + }, + { + "epoch": 0.43296735245795975, + "grad_norm": 0.05859375, + "learning_rate": 0.002094103478726519, + "loss": 1.2468, + "step": 4933 + }, + { + "epoch": 0.4330551220408622, + "grad_norm": 0.11279296875, + "learning_rate": 0.0020937029472336615, + "loss": 1.195, + "step": 4934 + }, + { + "epoch": 0.43314289162376474, + "grad_norm": 0.0625, + "learning_rate": 0.0020933023719490796, + "loss": 1.2679, + "step": 4935 + }, + { + "epoch": 0.4332306612066672, + "grad_norm": 0.09130859375, + "learning_rate": 0.0020929017529123075, + "loss": 1.23, + "step": 4936 + }, + { + "epoch": 0.43331843078956966, + "grad_norm": 0.0703125, + "learning_rate": 0.002092501090162884, + "loss": 1.2175, + "step": 4937 + }, + { + "epoch": 0.4334062003724722, + "grad_norm": 0.0986328125, + "learning_rate": 0.002092100383740355, + "loss": 1.2027, + "step": 4938 + }, + { + "epoch": 0.43349396995537465, + "grad_norm": 0.08154296875, + "learning_rate": 0.0020916996336842668, + "loss": 1.2464, + "step": 4939 + }, + { + "epoch": 0.4335817395382771, + "grad_norm": 0.0751953125, + "learning_rate": 0.002091298840034172, + "loss": 1.237, + "step": 4940 + }, + { + "epoch": 0.43366950912117963, + "grad_norm": 0.09619140625, + "learning_rate": 0.0020908980028296288, + "loss": 1.2336, + "step": 4941 + }, + { + "epoch": 0.4337572787040821, + "grad_norm": 0.05810546875, + "learning_rate": 0.0020904971221101967, + "loss": 1.2119, + "step": 4942 + }, + { + "epoch": 0.4338450482869846, + "grad_norm": 0.15234375, + "learning_rate": 0.002090096197915442, + "loss": 1.2757, + "step": 4943 + }, + { + "epoch": 0.4339328178698871, + "grad_norm": 0.054443359375, + "learning_rate": 0.0020896952302849334, + "loss": 1.2071, + "step": 4944 + }, + { + "epoch": 0.43402058745278954, + "grad_norm": 0.11474609375, + "learning_rate": 0.0020892942192582455, + "loss": 1.2993, + "step": 4945 + }, + { + "epoch": 0.43410835703569206, + "grad_norm": 0.08740234375, + "learning_rate": 0.0020888931648749567, + "loss": 1.1966, + "step": 4946 + }, + { + "epoch": 0.4341961266185945, + "grad_norm": 0.11279296875, + "learning_rate": 0.002088492067174649, + "loss": 1.221, + "step": 4947 + }, + { + "epoch": 0.43428389620149704, + "grad_norm": 0.0927734375, + "learning_rate": 0.002088090926196909, + "loss": 1.2194, + "step": 4948 + }, + { + "epoch": 0.4343716657843995, + "grad_norm": 0.10595703125, + "learning_rate": 0.002087689741981328, + "loss": 1.2315, + "step": 4949 + }, + { + "epoch": 0.43445943536730197, + "grad_norm": 0.0908203125, + "learning_rate": 0.002087288514567502, + "loss": 1.2816, + "step": 4950 + }, + { + "epoch": 0.4345472049502045, + "grad_norm": 0.0810546875, + "learning_rate": 0.0020868872439950294, + "loss": 1.2106, + "step": 4951 + }, + { + "epoch": 0.43463497453310695, + "grad_norm": 0.1025390625, + "learning_rate": 0.0020864859303035147, + "loss": 1.2538, + "step": 4952 + }, + { + "epoch": 0.4347227441160094, + "grad_norm": 0.0869140625, + "learning_rate": 0.0020860845735325654, + "loss": 1.2611, + "step": 4953 + }, + { + "epoch": 0.43481051369891194, + "grad_norm": 0.12451171875, + "learning_rate": 0.0020856831737217944, + "loss": 1.1426, + "step": 4954 + }, + { + "epoch": 0.4348982832818144, + "grad_norm": 0.0546875, + "learning_rate": 0.002085281730910818, + "loss": 1.2113, + "step": 4955 + }, + { + "epoch": 0.4349860528647169, + "grad_norm": 0.208984375, + "learning_rate": 0.002084880245139257, + "loss": 1.2201, + "step": 4956 + }, + { + "epoch": 0.4350738224476194, + "grad_norm": 0.08447265625, + "learning_rate": 0.0020844787164467364, + "loss": 1.2335, + "step": 4957 + }, + { + "epoch": 0.43516159203052185, + "grad_norm": 0.14453125, + "learning_rate": 0.002084077144872886, + "loss": 1.2024, + "step": 4958 + }, + { + "epoch": 0.43524936161342437, + "grad_norm": 0.1435546875, + "learning_rate": 0.002083675530457339, + "loss": 1.199, + "step": 4959 + }, + { + "epoch": 0.43533713119632683, + "grad_norm": 0.062255859375, + "learning_rate": 0.0020832738732397328, + "loss": 1.2214, + "step": 4960 + }, + { + "epoch": 0.43542490077922935, + "grad_norm": 0.1953125, + "learning_rate": 0.00208287217325971, + "loss": 1.1816, + "step": 4961 + }, + { + "epoch": 0.4355126703621318, + "grad_norm": 0.072265625, + "learning_rate": 0.002082470430556916, + "loss": 1.2475, + "step": 4962 + }, + { + "epoch": 0.4356004399450343, + "grad_norm": 0.11962890625, + "learning_rate": 0.0020820686451710024, + "loss": 1.1901, + "step": 4963 + }, + { + "epoch": 0.4356882095279368, + "grad_norm": 0.10302734375, + "learning_rate": 0.002081666817141623, + "loss": 1.2312, + "step": 4964 + }, + { + "epoch": 0.43577597911083926, + "grad_norm": 0.05810546875, + "learning_rate": 0.002081264946508436, + "loss": 1.2, + "step": 4965 + }, + { + "epoch": 0.4358637486937418, + "grad_norm": 0.0947265625, + "learning_rate": 0.002080863033311106, + "loss": 1.2454, + "step": 4966 + }, + { + "epoch": 0.43595151827664425, + "grad_norm": 0.06298828125, + "learning_rate": 0.002080461077589299, + "loss": 1.2297, + "step": 4967 + }, + { + "epoch": 0.4360392878595467, + "grad_norm": 0.07666015625, + "learning_rate": 0.0020800590793826875, + "loss": 1.286, + "step": 4968 + }, + { + "epoch": 0.43612705744244923, + "grad_norm": 0.06591796875, + "learning_rate": 0.002079657038730946, + "loss": 1.2141, + "step": 4969 + }, + { + "epoch": 0.4362148270253517, + "grad_norm": 0.0712890625, + "learning_rate": 0.0020792549556737545, + "loss": 1.2259, + "step": 4970 + }, + { + "epoch": 0.43630259660825416, + "grad_norm": 0.10986328125, + "learning_rate": 0.002078852830250798, + "loss": 1.2029, + "step": 4971 + }, + { + "epoch": 0.4363903661911567, + "grad_norm": 0.06640625, + "learning_rate": 0.002078450662501764, + "loss": 1.2036, + "step": 4972 + }, + { + "epoch": 0.43647813577405914, + "grad_norm": 0.1259765625, + "learning_rate": 0.002078048452466345, + "loss": 1.2082, + "step": 4973 + }, + { + "epoch": 0.43656590535696166, + "grad_norm": 0.07958984375, + "learning_rate": 0.002077646200184237, + "loss": 1.2463, + "step": 4974 + }, + { + "epoch": 0.4366536749398641, + "grad_norm": 0.07177734375, + "learning_rate": 0.002077243905695141, + "loss": 1.245, + "step": 4975 + }, + { + "epoch": 0.4367414445227666, + "grad_norm": 0.09326171875, + "learning_rate": 0.0020768415690387626, + "loss": 1.1937, + "step": 4976 + }, + { + "epoch": 0.4368292141056691, + "grad_norm": 0.0546875, + "learning_rate": 0.0020764391902548104, + "loss": 1.1421, + "step": 4977 + }, + { + "epoch": 0.43691698368857157, + "grad_norm": 0.0791015625, + "learning_rate": 0.002076036769382997, + "loss": 1.1797, + "step": 4978 + }, + { + "epoch": 0.4370047532714741, + "grad_norm": 0.06689453125, + "learning_rate": 0.00207563430646304, + "loss": 1.1915, + "step": 4979 + }, + { + "epoch": 0.43709252285437655, + "grad_norm": 0.072265625, + "learning_rate": 0.0020752318015346614, + "loss": 1.2574, + "step": 4980 + }, + { + "epoch": 0.437180292437279, + "grad_norm": 0.1435546875, + "learning_rate": 0.002074829254637587, + "loss": 1.2448, + "step": 4981 + }, + { + "epoch": 0.43726806202018154, + "grad_norm": 0.07080078125, + "learning_rate": 0.0020744266658115455, + "loss": 1.2664, + "step": 4982 + }, + { + "epoch": 0.437355831603084, + "grad_norm": 0.06005859375, + "learning_rate": 0.0020740240350962716, + "loss": 1.2013, + "step": 4983 + }, + { + "epoch": 0.43744360118598646, + "grad_norm": 0.057861328125, + "learning_rate": 0.0020736213625315034, + "loss": 1.2475, + "step": 4984 + }, + { + "epoch": 0.437531370768889, + "grad_norm": 0.049560546875, + "learning_rate": 0.0020732186481569824, + "loss": 1.1894, + "step": 4985 + }, + { + "epoch": 0.43761914035179145, + "grad_norm": 0.0693359375, + "learning_rate": 0.002072815892012456, + "loss": 1.1894, + "step": 4986 + }, + { + "epoch": 0.43770690993469397, + "grad_norm": 0.060791015625, + "learning_rate": 0.0020724130941376737, + "loss": 1.2059, + "step": 4987 + }, + { + "epoch": 0.43779467951759643, + "grad_norm": 0.0625, + "learning_rate": 0.0020720102545723905, + "loss": 1.2256, + "step": 4988 + }, + { + "epoch": 0.4378824491004989, + "grad_norm": 0.08544921875, + "learning_rate": 0.002071607373356365, + "loss": 1.2262, + "step": 4989 + }, + { + "epoch": 0.4379702186834014, + "grad_norm": 0.08154296875, + "learning_rate": 0.00207120445052936, + "loss": 1.2233, + "step": 4990 + }, + { + "epoch": 0.4380579882663039, + "grad_norm": 0.09521484375, + "learning_rate": 0.0020708014861311424, + "loss": 1.2469, + "step": 4991 + }, + { + "epoch": 0.4381457578492064, + "grad_norm": 0.057861328125, + "learning_rate": 0.0020703984802014834, + "loss": 1.2283, + "step": 4992 + }, + { + "epoch": 0.43823352743210886, + "grad_norm": 0.123046875, + "learning_rate": 0.002069995432780157, + "loss": 1.1925, + "step": 4993 + }, + { + "epoch": 0.4383212970150113, + "grad_norm": 0.06689453125, + "learning_rate": 0.002069592343906944, + "loss": 1.2098, + "step": 4994 + }, + { + "epoch": 0.43840906659791384, + "grad_norm": 0.068359375, + "learning_rate": 0.0020691892136216264, + "loss": 1.1862, + "step": 4995 + }, + { + "epoch": 0.4384968361808163, + "grad_norm": 0.053466796875, + "learning_rate": 0.002068786041963993, + "loss": 1.1716, + "step": 4996 + }, + { + "epoch": 0.43858460576371877, + "grad_norm": 0.107421875, + "learning_rate": 0.0020683828289738333, + "loss": 1.2139, + "step": 4997 + }, + { + "epoch": 0.4386723753466213, + "grad_norm": 0.05517578125, + "learning_rate": 0.0020679795746909443, + "loss": 1.2342, + "step": 4998 + }, + { + "epoch": 0.43876014492952375, + "grad_norm": 0.0810546875, + "learning_rate": 0.002067576279155125, + "loss": 1.2222, + "step": 4999 + }, + { + "epoch": 0.4388479145124263, + "grad_norm": 0.0986328125, + "learning_rate": 0.002067172942406179, + "loss": 1.2803, + "step": 5000 + }, + { + "epoch": 0.4388479145124263, + "eval_loss": 1.2060072422027588, + "eval_runtime": 437.7156, + "eval_samples_per_second": 33.675, + "eval_steps_per_second": 8.419, + "step": 5000 + }, + { + "epoch": 0.43893568409532874, + "grad_norm": 0.06982421875, + "learning_rate": 0.0020667695644839145, + "loss": 1.2491, + "step": 5001 + }, + { + "epoch": 0.4390234536782312, + "grad_norm": 0.09228515625, + "learning_rate": 0.0020663661454281435, + "loss": 1.2654, + "step": 5002 + }, + { + "epoch": 0.4391112232611337, + "grad_norm": 0.06689453125, + "learning_rate": 0.0020659626852786803, + "loss": 1.2196, + "step": 5003 + }, + { + "epoch": 0.4391989928440362, + "grad_norm": 0.08251953125, + "learning_rate": 0.0020655591840753468, + "loss": 1.2424, + "step": 5004 + }, + { + "epoch": 0.4392867624269387, + "grad_norm": 0.052734375, + "learning_rate": 0.002065155641857966, + "loss": 1.2331, + "step": 5005 + }, + { + "epoch": 0.43937453200984117, + "grad_norm": 0.07275390625, + "learning_rate": 0.002064752058666366, + "loss": 1.2512, + "step": 5006 + }, + { + "epoch": 0.43946230159274363, + "grad_norm": 0.08056640625, + "learning_rate": 0.002064348434540379, + "loss": 1.2417, + "step": 5007 + }, + { + "epoch": 0.43955007117564615, + "grad_norm": 0.12451171875, + "learning_rate": 0.002063944769519841, + "loss": 1.2213, + "step": 5008 + }, + { + "epoch": 0.4396378407585486, + "grad_norm": 0.0703125, + "learning_rate": 0.002063541063644592, + "loss": 1.1822, + "step": 5009 + }, + { + "epoch": 0.4397256103414511, + "grad_norm": 0.111328125, + "learning_rate": 0.002063137316954476, + "loss": 1.212, + "step": 5010 + }, + { + "epoch": 0.4398133799243536, + "grad_norm": 0.0673828125, + "learning_rate": 0.002062733529489342, + "loss": 1.2641, + "step": 5011 + }, + { + "epoch": 0.43990114950725606, + "grad_norm": 0.09228515625, + "learning_rate": 0.0020623297012890415, + "loss": 1.3075, + "step": 5012 + }, + { + "epoch": 0.4399889190901586, + "grad_norm": 0.0703125, + "learning_rate": 0.002061925832393431, + "loss": 1.207, + "step": 5013 + }, + { + "epoch": 0.44007668867306104, + "grad_norm": 0.0751953125, + "learning_rate": 0.0020615219228423713, + "loss": 1.14, + "step": 5014 + }, + { + "epoch": 0.4401644582559635, + "grad_norm": 0.10888671875, + "learning_rate": 0.002061117972675725, + "loss": 1.1703, + "step": 5015 + }, + { + "epoch": 0.44025222783886603, + "grad_norm": 0.0859375, + "learning_rate": 0.0020607139819333624, + "loss": 1.2169, + "step": 5016 + }, + { + "epoch": 0.4403399974217685, + "grad_norm": 0.0927734375, + "learning_rate": 0.0020603099506551546, + "loss": 1.2056, + "step": 5017 + }, + { + "epoch": 0.440427767004671, + "grad_norm": 0.0634765625, + "learning_rate": 0.0020599058788809783, + "loss": 1.1458, + "step": 5018 + }, + { + "epoch": 0.4405155365875735, + "grad_norm": 0.09130859375, + "learning_rate": 0.002059501766650714, + "loss": 1.2067, + "step": 5019 + }, + { + "epoch": 0.44060330617047594, + "grad_norm": 0.055419921875, + "learning_rate": 0.002059097614004245, + "loss": 1.2233, + "step": 5020 + }, + { + "epoch": 0.44069107575337846, + "grad_norm": 0.107421875, + "learning_rate": 0.00205869342098146, + "loss": 1.1693, + "step": 5021 + }, + { + "epoch": 0.4407788453362809, + "grad_norm": 0.061767578125, + "learning_rate": 0.0020582891876222524, + "loss": 1.2176, + "step": 5022 + }, + { + "epoch": 0.4408666149191834, + "grad_norm": 0.09130859375, + "learning_rate": 0.0020578849139665173, + "loss": 1.1948, + "step": 5023 + }, + { + "epoch": 0.4409543845020859, + "grad_norm": 0.11181640625, + "learning_rate": 0.002057480600054155, + "loss": 1.2207, + "step": 5024 + }, + { + "epoch": 0.44104215408498837, + "grad_norm": 0.09228515625, + "learning_rate": 0.002057076245925069, + "loss": 1.2369, + "step": 5025 + }, + { + "epoch": 0.4411299236678909, + "grad_norm": 0.13671875, + "learning_rate": 0.002056671851619169, + "loss": 1.2231, + "step": 5026 + }, + { + "epoch": 0.44121769325079335, + "grad_norm": 0.091796875, + "learning_rate": 0.002056267417176366, + "loss": 1.2283, + "step": 5027 + }, + { + "epoch": 0.4413054628336958, + "grad_norm": 0.138671875, + "learning_rate": 0.002055862942636577, + "loss": 1.2307, + "step": 5028 + }, + { + "epoch": 0.44139323241659834, + "grad_norm": 0.06787109375, + "learning_rate": 0.0020554584280397213, + "loss": 1.2194, + "step": 5029 + }, + { + "epoch": 0.4414810019995008, + "grad_norm": 0.1640625, + "learning_rate": 0.002055053873425723, + "loss": 1.2712, + "step": 5030 + }, + { + "epoch": 0.4415687715824033, + "grad_norm": 0.080078125, + "learning_rate": 0.0020546492788345097, + "loss": 1.2531, + "step": 5031 + }, + { + "epoch": 0.4416565411653058, + "grad_norm": 0.10888671875, + "learning_rate": 0.0020542446443060146, + "loss": 1.2172, + "step": 5032 + }, + { + "epoch": 0.44174431074820825, + "grad_norm": 0.1083984375, + "learning_rate": 0.002053839969880172, + "loss": 1.1538, + "step": 5033 + }, + { + "epoch": 0.44183208033111077, + "grad_norm": 0.0595703125, + "learning_rate": 0.0020534352555969227, + "loss": 1.228, + "step": 5034 + }, + { + "epoch": 0.44191984991401323, + "grad_norm": 0.083984375, + "learning_rate": 0.0020530305014962095, + "loss": 1.2101, + "step": 5035 + }, + { + "epoch": 0.44200761949691575, + "grad_norm": 0.06494140625, + "learning_rate": 0.0020526257076179805, + "loss": 1.2118, + "step": 5036 + }, + { + "epoch": 0.4420953890798182, + "grad_norm": 0.0712890625, + "learning_rate": 0.0020522208740021875, + "loss": 1.2232, + "step": 5037 + }, + { + "epoch": 0.4421831586627207, + "grad_norm": 0.0703125, + "learning_rate": 0.0020518160006887855, + "loss": 1.2031, + "step": 5038 + }, + { + "epoch": 0.4422709282456232, + "grad_norm": 0.07421875, + "learning_rate": 0.0020514110877177345, + "loss": 1.1569, + "step": 5039 + }, + { + "epoch": 0.44235869782852566, + "grad_norm": 0.0625, + "learning_rate": 0.002051006135128997, + "loss": 1.2677, + "step": 5040 + }, + { + "epoch": 0.4424464674114281, + "grad_norm": 0.06103515625, + "learning_rate": 0.002050601142962541, + "loss": 1.1918, + "step": 5041 + }, + { + "epoch": 0.44253423699433064, + "grad_norm": 0.08203125, + "learning_rate": 0.0020501961112583374, + "loss": 1.2445, + "step": 5042 + }, + { + "epoch": 0.4426220065772331, + "grad_norm": 0.058837890625, + "learning_rate": 0.002049791040056361, + "loss": 1.234, + "step": 5043 + }, + { + "epoch": 0.4427097761601356, + "grad_norm": 0.0693359375, + "learning_rate": 0.002049385929396591, + "loss": 1.2196, + "step": 5044 + }, + { + "epoch": 0.4427975457430381, + "grad_norm": 0.05810546875, + "learning_rate": 0.0020489807793190092, + "loss": 1.1715, + "step": 5045 + }, + { + "epoch": 0.44288531532594055, + "grad_norm": 0.0537109375, + "learning_rate": 0.0020485755898636045, + "loss": 1.208, + "step": 5046 + }, + { + "epoch": 0.4429730849088431, + "grad_norm": 0.06591796875, + "learning_rate": 0.002048170361070365, + "loss": 1.2128, + "step": 5047 + }, + { + "epoch": 0.44306085449174554, + "grad_norm": 0.0634765625, + "learning_rate": 0.0020477650929792866, + "loss": 1.2059, + "step": 5048 + }, + { + "epoch": 0.44314862407464806, + "grad_norm": 0.060791015625, + "learning_rate": 0.002047359785630368, + "loss": 1.2627, + "step": 5049 + }, + { + "epoch": 0.4432363936575505, + "grad_norm": 0.1123046875, + "learning_rate": 0.0020469544390636103, + "loss": 1.218, + "step": 5050 + }, + { + "epoch": 0.443324163240453, + "grad_norm": 0.05517578125, + "learning_rate": 0.0020465490533190206, + "loss": 1.1832, + "step": 5051 + }, + { + "epoch": 0.4434119328233555, + "grad_norm": 0.09765625, + "learning_rate": 0.0020461436284366077, + "loss": 1.2542, + "step": 5052 + }, + { + "epoch": 0.44349970240625797, + "grad_norm": 0.08349609375, + "learning_rate": 0.0020457381644563865, + "loss": 1.2751, + "step": 5053 + }, + { + "epoch": 0.44358747198916043, + "grad_norm": 0.1201171875, + "learning_rate": 0.0020453326614183745, + "loss": 1.2302, + "step": 5054 + }, + { + "epoch": 0.44367524157206295, + "grad_norm": 0.06005859375, + "learning_rate": 0.002044927119362593, + "loss": 1.1618, + "step": 5055 + }, + { + "epoch": 0.4437630111549654, + "grad_norm": 0.07177734375, + "learning_rate": 0.002044521538329067, + "loss": 1.2212, + "step": 5056 + }, + { + "epoch": 0.44385078073786793, + "grad_norm": 0.06201171875, + "learning_rate": 0.002044115918357827, + "loss": 1.1432, + "step": 5057 + }, + { + "epoch": 0.4439385503207704, + "grad_norm": 0.10791015625, + "learning_rate": 0.002043710259488905, + "loss": 1.2317, + "step": 5058 + }, + { + "epoch": 0.44402631990367286, + "grad_norm": 0.06787109375, + "learning_rate": 0.002043304561762338, + "loss": 1.2073, + "step": 5059 + }, + { + "epoch": 0.4441140894865754, + "grad_norm": 0.08203125, + "learning_rate": 0.002042898825218167, + "loss": 1.2476, + "step": 5060 + }, + { + "epoch": 0.44420185906947784, + "grad_norm": 0.12255859375, + "learning_rate": 0.0020424930498964366, + "loss": 1.2567, + "step": 5061 + }, + { + "epoch": 0.44428962865238036, + "grad_norm": 0.06640625, + "learning_rate": 0.0020420872358371954, + "loss": 1.2038, + "step": 5062 + }, + { + "epoch": 0.44437739823528283, + "grad_norm": 0.09814453125, + "learning_rate": 0.0020416813830804953, + "loss": 1.2564, + "step": 5063 + }, + { + "epoch": 0.4444651678181853, + "grad_norm": 0.060791015625, + "learning_rate": 0.0020412754916663924, + "loss": 1.274, + "step": 5064 + }, + { + "epoch": 0.4445529374010878, + "grad_norm": 0.1240234375, + "learning_rate": 0.002040869561634947, + "loss": 1.2053, + "step": 5065 + }, + { + "epoch": 0.4446407069839903, + "grad_norm": 0.0634765625, + "learning_rate": 0.0020404635930262216, + "loss": 1.1869, + "step": 5066 + }, + { + "epoch": 0.44472847656689274, + "grad_norm": 0.08935546875, + "learning_rate": 0.0020400575858802853, + "loss": 1.2691, + "step": 5067 + }, + { + "epoch": 0.44481624614979526, + "grad_norm": 0.08642578125, + "learning_rate": 0.002039651540237209, + "loss": 1.2495, + "step": 5068 + }, + { + "epoch": 0.4449040157326977, + "grad_norm": 0.0908203125, + "learning_rate": 0.002039245456137067, + "loss": 1.2146, + "step": 5069 + }, + { + "epoch": 0.44499178531560024, + "grad_norm": 0.08203125, + "learning_rate": 0.0020388393336199383, + "loss": 1.2111, + "step": 5070 + }, + { + "epoch": 0.4450795548985027, + "grad_norm": 0.0673828125, + "learning_rate": 0.0020384331727259066, + "loss": 1.2555, + "step": 5071 + }, + { + "epoch": 0.44516732448140517, + "grad_norm": 0.076171875, + "learning_rate": 0.002038026973495057, + "loss": 1.1797, + "step": 5072 + }, + { + "epoch": 0.4452550940643077, + "grad_norm": 0.054931640625, + "learning_rate": 0.002037620735967481, + "loss": 1.2466, + "step": 5073 + }, + { + "epoch": 0.44534286364721015, + "grad_norm": 0.0712890625, + "learning_rate": 0.002037214460183272, + "loss": 1.1843, + "step": 5074 + }, + { + "epoch": 0.44543063323011267, + "grad_norm": 0.0595703125, + "learning_rate": 0.0020368081461825276, + "loss": 1.1285, + "step": 5075 + }, + { + "epoch": 0.44551840281301514, + "grad_norm": 0.0693359375, + "learning_rate": 0.0020364017940053504, + "loss": 1.205, + "step": 5076 + }, + { + "epoch": 0.4456061723959176, + "grad_norm": 0.058837890625, + "learning_rate": 0.0020359954036918444, + "loss": 1.1634, + "step": 5077 + }, + { + "epoch": 0.4456939419788201, + "grad_norm": 0.06005859375, + "learning_rate": 0.0020355889752821195, + "loss": 1.2351, + "step": 5078 + }, + { + "epoch": 0.4457817115617226, + "grad_norm": 0.0830078125, + "learning_rate": 0.0020351825088162885, + "loss": 1.24, + "step": 5079 + }, + { + "epoch": 0.44586948114462505, + "grad_norm": 0.052978515625, + "learning_rate": 0.002034776004334468, + "loss": 1.1741, + "step": 5080 + }, + { + "epoch": 0.44595725072752757, + "grad_norm": 0.1162109375, + "learning_rate": 0.0020343694618767784, + "loss": 1.2357, + "step": 5081 + }, + { + "epoch": 0.44604502031043003, + "grad_norm": 0.0625, + "learning_rate": 0.002033962881483343, + "loss": 1.2178, + "step": 5082 + }, + { + "epoch": 0.44613278989333255, + "grad_norm": 0.09423828125, + "learning_rate": 0.0020335562631942916, + "loss": 1.1827, + "step": 5083 + }, + { + "epoch": 0.446220559476235, + "grad_norm": 0.0771484375, + "learning_rate": 0.0020331496070497544, + "loss": 1.185, + "step": 5084 + }, + { + "epoch": 0.4463083290591375, + "grad_norm": 0.06787109375, + "learning_rate": 0.002032742913089867, + "loss": 1.2288, + "step": 5085 + }, + { + "epoch": 0.44639609864204, + "grad_norm": 0.150390625, + "learning_rate": 0.002032336181354768, + "loss": 1.258, + "step": 5086 + }, + { + "epoch": 0.44648386822494246, + "grad_norm": 0.0859375, + "learning_rate": 0.002031929411884601, + "loss": 1.2355, + "step": 5087 + }, + { + "epoch": 0.446571637807845, + "grad_norm": 0.1484375, + "learning_rate": 0.0020315226047195128, + "loss": 1.2364, + "step": 5088 + }, + { + "epoch": 0.44665940739074744, + "grad_norm": 0.11083984375, + "learning_rate": 0.0020311157598996523, + "loss": 1.2113, + "step": 5089 + }, + { + "epoch": 0.4467471769736499, + "grad_norm": 0.0810546875, + "learning_rate": 0.0020307088774651747, + "loss": 1.234, + "step": 5090 + }, + { + "epoch": 0.4468349465565524, + "grad_norm": 0.11669921875, + "learning_rate": 0.0020303019574562375, + "loss": 1.1739, + "step": 5091 + }, + { + "epoch": 0.4469227161394549, + "grad_norm": 0.060791015625, + "learning_rate": 0.0020298949999130013, + "loss": 1.1588, + "step": 5092 + }, + { + "epoch": 0.44701048572235735, + "grad_norm": 0.07470703125, + "learning_rate": 0.0020294880048756323, + "loss": 1.2142, + "step": 5093 + }, + { + "epoch": 0.4470982553052599, + "grad_norm": 0.05029296875, + "learning_rate": 0.002029080972384299, + "loss": 1.2028, + "step": 5094 + }, + { + "epoch": 0.44718602488816234, + "grad_norm": 0.0634765625, + "learning_rate": 0.002028673902479173, + "loss": 1.266, + "step": 5095 + }, + { + "epoch": 0.44727379447106486, + "grad_norm": 0.07421875, + "learning_rate": 0.0020282667952004315, + "loss": 1.2095, + "step": 5096 + }, + { + "epoch": 0.4473615640539673, + "grad_norm": 0.09033203125, + "learning_rate": 0.0020278596505882538, + "loss": 1.1642, + "step": 5097 + }, + { + "epoch": 0.4474493336368698, + "grad_norm": 0.08154296875, + "learning_rate": 0.0020274524686828242, + "loss": 1.2864, + "step": 5098 + }, + { + "epoch": 0.4475371032197723, + "grad_norm": 0.058837890625, + "learning_rate": 0.0020270452495243286, + "loss": 1.1768, + "step": 5099 + }, + { + "epoch": 0.44762487280267477, + "grad_norm": 0.06005859375, + "learning_rate": 0.0020266379931529596, + "loss": 1.2167, + "step": 5100 + }, + { + "epoch": 0.4477126423855773, + "grad_norm": 0.056396484375, + "learning_rate": 0.0020262306996089107, + "loss": 1.2445, + "step": 5101 + }, + { + "epoch": 0.44780041196847975, + "grad_norm": 0.1083984375, + "learning_rate": 0.0020258233689323807, + "loss": 1.2111, + "step": 5102 + }, + { + "epoch": 0.4478881815513822, + "grad_norm": 0.06298828125, + "learning_rate": 0.0020254160011635705, + "loss": 1.2168, + "step": 5103 + }, + { + "epoch": 0.44797595113428473, + "grad_norm": 0.1015625, + "learning_rate": 0.002025008596342687, + "loss": 1.1768, + "step": 5104 + }, + { + "epoch": 0.4480637207171872, + "grad_norm": 0.0859375, + "learning_rate": 0.0020246011545099387, + "loss": 1.1868, + "step": 5105 + }, + { + "epoch": 0.4481514903000897, + "grad_norm": 0.054443359375, + "learning_rate": 0.0020241936757055385, + "loss": 1.1819, + "step": 5106 + }, + { + "epoch": 0.4482392598829922, + "grad_norm": 0.125, + "learning_rate": 0.0020237861599697034, + "loss": 1.2116, + "step": 5107 + }, + { + "epoch": 0.44832702946589464, + "grad_norm": 0.07373046875, + "learning_rate": 0.0020233786073426533, + "loss": 1.1828, + "step": 5108 + }, + { + "epoch": 0.44841479904879716, + "grad_norm": 0.1328125, + "learning_rate": 0.002022971017864612, + "loss": 1.2398, + "step": 5109 + }, + { + "epoch": 0.4485025686316996, + "grad_norm": 0.06103515625, + "learning_rate": 0.002022563391575807, + "loss": 1.1566, + "step": 5110 + }, + { + "epoch": 0.4485903382146021, + "grad_norm": 0.08203125, + "learning_rate": 0.002022155728516469, + "loss": 1.2004, + "step": 5111 + }, + { + "epoch": 0.4486781077975046, + "grad_norm": 0.09765625, + "learning_rate": 0.0020217480287268337, + "loss": 1.2625, + "step": 5112 + }, + { + "epoch": 0.4487658773804071, + "grad_norm": 0.0546875, + "learning_rate": 0.0020213402922471388, + "loss": 1.2128, + "step": 5113 + }, + { + "epoch": 0.4488536469633096, + "grad_norm": 0.09912109375, + "learning_rate": 0.0020209325191176265, + "loss": 1.209, + "step": 5114 + }, + { + "epoch": 0.44894141654621206, + "grad_norm": 0.054443359375, + "learning_rate": 0.002020524709378542, + "loss": 1.217, + "step": 5115 + }, + { + "epoch": 0.4490291861291145, + "grad_norm": 0.0927734375, + "learning_rate": 0.0020201168630701346, + "loss": 1.205, + "step": 5116 + }, + { + "epoch": 0.44911695571201704, + "grad_norm": 0.06005859375, + "learning_rate": 0.0020197089802326575, + "loss": 1.2094, + "step": 5117 + }, + { + "epoch": 0.4492047252949195, + "grad_norm": 0.087890625, + "learning_rate": 0.002019301060906367, + "loss": 1.2495, + "step": 5118 + }, + { + "epoch": 0.449292494877822, + "grad_norm": 0.053955078125, + "learning_rate": 0.002018893105131523, + "loss": 1.1558, + "step": 5119 + }, + { + "epoch": 0.4493802644607245, + "grad_norm": 0.07421875, + "learning_rate": 0.002018485112948389, + "loss": 1.2127, + "step": 5120 + }, + { + "epoch": 0.44946803404362695, + "grad_norm": 0.08251953125, + "learning_rate": 0.0020180770843972328, + "loss": 1.2587, + "step": 5121 + }, + { + "epoch": 0.44955580362652947, + "grad_norm": 0.06591796875, + "learning_rate": 0.002017669019518324, + "loss": 1.2013, + "step": 5122 + }, + { + "epoch": 0.44964357320943193, + "grad_norm": 0.0712890625, + "learning_rate": 0.0020172609183519387, + "loss": 1.1907, + "step": 5123 + }, + { + "epoch": 0.4497313427923344, + "grad_norm": 0.09765625, + "learning_rate": 0.0020168527809383534, + "loss": 1.2245, + "step": 5124 + }, + { + "epoch": 0.4498191123752369, + "grad_norm": 0.0634765625, + "learning_rate": 0.00201644460731785, + "loss": 1.1919, + "step": 5125 + }, + { + "epoch": 0.4499068819581394, + "grad_norm": 0.12158203125, + "learning_rate": 0.0020160363975307146, + "loss": 1.1589, + "step": 5126 + }, + { + "epoch": 0.4499946515410419, + "grad_norm": 0.09521484375, + "learning_rate": 0.002015628151617234, + "loss": 1.1259, + "step": 5127 + }, + { + "epoch": 0.45008242112394437, + "grad_norm": 0.0927734375, + "learning_rate": 0.002015219869617703, + "loss": 1.1923, + "step": 5128 + }, + { + "epoch": 0.45017019070684683, + "grad_norm": 0.0703125, + "learning_rate": 0.0020148115515724145, + "loss": 1.1882, + "step": 5129 + }, + { + "epoch": 0.45025796028974935, + "grad_norm": 0.07275390625, + "learning_rate": 0.0020144031975216706, + "loss": 1.2328, + "step": 5130 + }, + { + "epoch": 0.4503457298726518, + "grad_norm": 0.06005859375, + "learning_rate": 0.0020139948075057717, + "loss": 1.1982, + "step": 5131 + }, + { + "epoch": 0.45043349945555433, + "grad_norm": 0.07861328125, + "learning_rate": 0.0020135863815650265, + "loss": 1.252, + "step": 5132 + }, + { + "epoch": 0.4505212690384568, + "grad_norm": 0.1005859375, + "learning_rate": 0.0020131779197397432, + "loss": 1.241, + "step": 5133 + }, + { + "epoch": 0.45060903862135926, + "grad_norm": 0.10107421875, + "learning_rate": 0.0020127694220702375, + "loss": 1.2009, + "step": 5134 + }, + { + "epoch": 0.4506968082042618, + "grad_norm": 0.08154296875, + "learning_rate": 0.002012360888596824, + "loss": 1.2057, + "step": 5135 + }, + { + "epoch": 0.45078457778716424, + "grad_norm": 0.068359375, + "learning_rate": 0.0020119523193598255, + "loss": 1.1685, + "step": 5136 + }, + { + "epoch": 0.4508723473700667, + "grad_norm": 0.09326171875, + "learning_rate": 0.002011543714399565, + "loss": 1.2131, + "step": 5137 + }, + { + "epoch": 0.4509601169529692, + "grad_norm": 0.0546875, + "learning_rate": 0.00201113507375637, + "loss": 1.2451, + "step": 5138 + }, + { + "epoch": 0.4510478865358717, + "grad_norm": 0.1240234375, + "learning_rate": 0.002010726397470573, + "loss": 1.2106, + "step": 5139 + }, + { + "epoch": 0.4511356561187742, + "grad_norm": 0.05322265625, + "learning_rate": 0.002010317685582507, + "loss": 1.1863, + "step": 5140 + }, + { + "epoch": 0.4512234257016767, + "grad_norm": 0.10888671875, + "learning_rate": 0.0020099089381325117, + "loss": 1.2255, + "step": 5141 + }, + { + "epoch": 0.45131119528457914, + "grad_norm": 0.064453125, + "learning_rate": 0.002009500155160928, + "loss": 1.2686, + "step": 5142 + }, + { + "epoch": 0.45139896486748166, + "grad_norm": 0.05908203125, + "learning_rate": 0.0020090913367081017, + "loss": 1.2641, + "step": 5143 + }, + { + "epoch": 0.4514867344503841, + "grad_norm": 0.0693359375, + "learning_rate": 0.002008682482814381, + "loss": 1.2082, + "step": 5144 + }, + { + "epoch": 0.45157450403328664, + "grad_norm": 0.07666015625, + "learning_rate": 0.002008273593520119, + "loss": 1.2125, + "step": 5145 + }, + { + "epoch": 0.4516622736161891, + "grad_norm": 0.06005859375, + "learning_rate": 0.00200786466886567, + "loss": 1.2099, + "step": 5146 + }, + { + "epoch": 0.45175004319909157, + "grad_norm": 0.057861328125, + "learning_rate": 0.0020074557088913952, + "loss": 1.1761, + "step": 5147 + }, + { + "epoch": 0.4518378127819941, + "grad_norm": 0.056396484375, + "learning_rate": 0.002007046713637656, + "loss": 1.1974, + "step": 5148 + }, + { + "epoch": 0.45192558236489655, + "grad_norm": 0.0615234375, + "learning_rate": 0.002006637683144819, + "loss": 1.1951, + "step": 5149 + }, + { + "epoch": 0.452013351947799, + "grad_norm": 0.0625, + "learning_rate": 0.0020062286174532535, + "loss": 1.1793, + "step": 5150 + }, + { + "epoch": 0.45210112153070153, + "grad_norm": 0.061767578125, + "learning_rate": 0.002005819516603333, + "loss": 1.2228, + "step": 5151 + }, + { + "epoch": 0.452188891113604, + "grad_norm": 0.0576171875, + "learning_rate": 0.002005410380635434, + "loss": 1.1206, + "step": 5152 + }, + { + "epoch": 0.4522766606965065, + "grad_norm": 0.05712890625, + "learning_rate": 0.0020050012095899376, + "loss": 1.144, + "step": 5153 + }, + { + "epoch": 0.452364430279409, + "grad_norm": 0.07177734375, + "learning_rate": 0.0020045920035072257, + "loss": 1.2346, + "step": 5154 + }, + { + "epoch": 0.45245219986231144, + "grad_norm": 0.0869140625, + "learning_rate": 0.0020041827624276867, + "loss": 1.2127, + "step": 5155 + }, + { + "epoch": 0.45253996944521396, + "grad_norm": 0.059326171875, + "learning_rate": 0.0020037734863917094, + "loss": 1.1855, + "step": 5156 + }, + { + "epoch": 0.4526277390281164, + "grad_norm": 0.08349609375, + "learning_rate": 0.00200336417543969, + "loss": 1.2161, + "step": 5157 + }, + { + "epoch": 0.45271550861101895, + "grad_norm": 0.055419921875, + "learning_rate": 0.0020029548296120235, + "loss": 1.1987, + "step": 5158 + }, + { + "epoch": 0.4528032781939214, + "grad_norm": 0.06982421875, + "learning_rate": 0.002002545448949113, + "loss": 1.1921, + "step": 5159 + }, + { + "epoch": 0.4528910477768239, + "grad_norm": 0.06005859375, + "learning_rate": 0.002002136033491361, + "loss": 1.2121, + "step": 5160 + }, + { + "epoch": 0.4529788173597264, + "grad_norm": 0.0693359375, + "learning_rate": 0.002001726583279176, + "loss": 1.1847, + "step": 5161 + }, + { + "epoch": 0.45306658694262886, + "grad_norm": 0.0537109375, + "learning_rate": 0.0020013170983529684, + "loss": 1.1796, + "step": 5162 + }, + { + "epoch": 0.4531543565255314, + "grad_norm": 0.07666015625, + "learning_rate": 0.002000907578753154, + "loss": 1.2229, + "step": 5163 + }, + { + "epoch": 0.45324212610843384, + "grad_norm": 0.061279296875, + "learning_rate": 0.00200049802452015, + "loss": 1.2243, + "step": 5164 + }, + { + "epoch": 0.4533298956913363, + "grad_norm": 0.055419921875, + "learning_rate": 0.0020000884356943783, + "loss": 1.1839, + "step": 5165 + }, + { + "epoch": 0.4534176652742388, + "grad_norm": 0.0849609375, + "learning_rate": 0.001999678812316262, + "loss": 1.2343, + "step": 5166 + }, + { + "epoch": 0.4535054348571413, + "grad_norm": 0.07958984375, + "learning_rate": 0.0019992691544262315, + "loss": 1.2151, + "step": 5167 + }, + { + "epoch": 0.45359320444004375, + "grad_norm": 0.052490234375, + "learning_rate": 0.0019988594620647167, + "loss": 1.1935, + "step": 5168 + }, + { + "epoch": 0.45368097402294627, + "grad_norm": 0.0693359375, + "learning_rate": 0.001998449735272154, + "loss": 1.2349, + "step": 5169 + }, + { + "epoch": 0.45376874360584873, + "grad_norm": 0.0576171875, + "learning_rate": 0.0019980399740889805, + "loss": 1.2087, + "step": 5170 + }, + { + "epoch": 0.45385651318875125, + "grad_norm": 0.05908203125, + "learning_rate": 0.0019976301785556393, + "loss": 1.1648, + "step": 5171 + }, + { + "epoch": 0.4539442827716537, + "grad_norm": 0.07568359375, + "learning_rate": 0.001997220348712575, + "loss": 1.2344, + "step": 5172 + }, + { + "epoch": 0.4540320523545562, + "grad_norm": 0.07275390625, + "learning_rate": 0.001996810484600236, + "loss": 1.154, + "step": 5173 + }, + { + "epoch": 0.4541198219374587, + "grad_norm": 0.080078125, + "learning_rate": 0.0019964005862590744, + "loss": 1.2264, + "step": 5174 + }, + { + "epoch": 0.45420759152036116, + "grad_norm": 0.061767578125, + "learning_rate": 0.0019959906537295453, + "loss": 1.2002, + "step": 5175 + }, + { + "epoch": 0.4542953611032637, + "grad_norm": 0.06689453125, + "learning_rate": 0.001995580687052108, + "loss": 1.1964, + "step": 5176 + }, + { + "epoch": 0.45438313068616615, + "grad_norm": 0.0546875, + "learning_rate": 0.0019951706862672246, + "loss": 1.262, + "step": 5177 + }, + { + "epoch": 0.4544709002690686, + "grad_norm": 0.08544921875, + "learning_rate": 0.0019947606514153595, + "loss": 1.2685, + "step": 5178 + }, + { + "epoch": 0.45455866985197113, + "grad_norm": 0.06689453125, + "learning_rate": 0.001994350582536983, + "loss": 1.2152, + "step": 5179 + }, + { + "epoch": 0.4546464394348736, + "grad_norm": 0.06494140625, + "learning_rate": 0.001993940479672566, + "loss": 1.195, + "step": 5180 + }, + { + "epoch": 0.45473420901777606, + "grad_norm": 0.08447265625, + "learning_rate": 0.001993530342862585, + "loss": 1.2073, + "step": 5181 + }, + { + "epoch": 0.4548219786006786, + "grad_norm": 0.058837890625, + "learning_rate": 0.001993120172147518, + "loss": 1.2134, + "step": 5182 + }, + { + "epoch": 0.45490974818358104, + "grad_norm": 0.05810546875, + "learning_rate": 0.001992709967567848, + "loss": 1.1748, + "step": 5183 + }, + { + "epoch": 0.45499751776648356, + "grad_norm": 0.051513671875, + "learning_rate": 0.0019922997291640598, + "loss": 1.168, + "step": 5184 + }, + { + "epoch": 0.455085287349386, + "grad_norm": 0.0634765625, + "learning_rate": 0.0019918894569766433, + "loss": 1.2917, + "step": 5185 + }, + { + "epoch": 0.4551730569322885, + "grad_norm": 0.06201171875, + "learning_rate": 0.0019914791510460897, + "loss": 1.2036, + "step": 5186 + }, + { + "epoch": 0.455260826515191, + "grad_norm": 0.060302734375, + "learning_rate": 0.001991068811412895, + "loss": 1.236, + "step": 5187 + }, + { + "epoch": 0.45534859609809347, + "grad_norm": 0.07177734375, + "learning_rate": 0.0019906584381175585, + "loss": 1.1489, + "step": 5188 + }, + { + "epoch": 0.455436365680996, + "grad_norm": 0.0830078125, + "learning_rate": 0.001990248031200582, + "loss": 1.2006, + "step": 5189 + }, + { + "epoch": 0.45552413526389846, + "grad_norm": 0.061279296875, + "learning_rate": 0.0019898375907024713, + "loss": 1.2246, + "step": 5190 + }, + { + "epoch": 0.4556119048468009, + "grad_norm": 0.07275390625, + "learning_rate": 0.001989427116663735, + "loss": 1.2291, + "step": 5191 + }, + { + "epoch": 0.45569967442970344, + "grad_norm": 0.050537109375, + "learning_rate": 0.0019890166091248848, + "loss": 1.1688, + "step": 5192 + }, + { + "epoch": 0.4557874440126059, + "grad_norm": 0.08984375, + "learning_rate": 0.001988606068126437, + "loss": 1.2742, + "step": 5193 + }, + { + "epoch": 0.45587521359550837, + "grad_norm": 0.06689453125, + "learning_rate": 0.0019881954937089105, + "loss": 1.2066, + "step": 5194 + }, + { + "epoch": 0.4559629831784109, + "grad_norm": 0.11328125, + "learning_rate": 0.0019877848859128264, + "loss": 1.2447, + "step": 5195 + }, + { + "epoch": 0.45605075276131335, + "grad_norm": 0.099609375, + "learning_rate": 0.0019873742447787113, + "loss": 1.2446, + "step": 5196 + }, + { + "epoch": 0.45613852234421587, + "grad_norm": 0.138671875, + "learning_rate": 0.0019869635703470925, + "loss": 1.241, + "step": 5197 + }, + { + "epoch": 0.45622629192711833, + "grad_norm": 0.072265625, + "learning_rate": 0.0019865528626585027, + "loss": 1.2343, + "step": 5198 + }, + { + "epoch": 0.4563140615100208, + "grad_norm": 0.08349609375, + "learning_rate": 0.001986142121753477, + "loss": 1.1629, + "step": 5199 + }, + { + "epoch": 0.4564018310929233, + "grad_norm": 0.08056640625, + "learning_rate": 0.001985731347672554, + "loss": 1.2155, + "step": 5200 + }, + { + "epoch": 0.4564896006758258, + "grad_norm": 0.06982421875, + "learning_rate": 0.0019853205404562757, + "loss": 1.2564, + "step": 5201 + }, + { + "epoch": 0.4565773702587283, + "grad_norm": 0.057861328125, + "learning_rate": 0.001984909700145186, + "loss": 1.241, + "step": 5202 + }, + { + "epoch": 0.45666513984163076, + "grad_norm": 0.06591796875, + "learning_rate": 0.001984498826779835, + "loss": 1.2682, + "step": 5203 + }, + { + "epoch": 0.4567529094245332, + "grad_norm": 0.0625, + "learning_rate": 0.0019840879204007732, + "loss": 1.1949, + "step": 5204 + }, + { + "epoch": 0.45684067900743575, + "grad_norm": 0.05908203125, + "learning_rate": 0.001983676981048555, + "loss": 1.2734, + "step": 5205 + }, + { + "epoch": 0.4569284485903382, + "grad_norm": 0.078125, + "learning_rate": 0.0019832660087637398, + "loss": 1.2198, + "step": 5206 + }, + { + "epoch": 0.4570162181732407, + "grad_norm": 0.057373046875, + "learning_rate": 0.0019828550035868877, + "loss": 1.1491, + "step": 5207 + }, + { + "epoch": 0.4571039877561432, + "grad_norm": 0.059814453125, + "learning_rate": 0.0019824439655585645, + "loss": 1.2804, + "step": 5208 + }, + { + "epoch": 0.45719175733904566, + "grad_norm": 0.07080078125, + "learning_rate": 0.0019820328947193363, + "loss": 1.2591, + "step": 5209 + }, + { + "epoch": 0.4572795269219482, + "grad_norm": 0.0546875, + "learning_rate": 0.001981621791109776, + "loss": 1.2192, + "step": 5210 + }, + { + "epoch": 0.45736729650485064, + "grad_norm": 0.0732421875, + "learning_rate": 0.0019812106547704563, + "loss": 1.2008, + "step": 5211 + }, + { + "epoch": 0.4574550660877531, + "grad_norm": 0.08349609375, + "learning_rate": 0.001980799485741956, + "loss": 1.2236, + "step": 5212 + }, + { + "epoch": 0.4575428356706556, + "grad_norm": 0.056884765625, + "learning_rate": 0.0019803882840648554, + "loss": 1.2817, + "step": 5213 + }, + { + "epoch": 0.4576306052535581, + "grad_norm": 0.06884765625, + "learning_rate": 0.0019799770497797384, + "loss": 1.1848, + "step": 5214 + }, + { + "epoch": 0.4577183748364606, + "grad_norm": 0.059814453125, + "learning_rate": 0.0019795657829271922, + "loss": 1.2408, + "step": 5215 + }, + { + "epoch": 0.45780614441936307, + "grad_norm": 0.056640625, + "learning_rate": 0.001979154483547807, + "loss": 1.2437, + "step": 5216 + }, + { + "epoch": 0.45789391400226553, + "grad_norm": 0.072265625, + "learning_rate": 0.0019787431516821766, + "loss": 1.1442, + "step": 5217 + }, + { + "epoch": 0.45798168358516805, + "grad_norm": 0.06689453125, + "learning_rate": 0.0019783317873708984, + "loss": 1.2639, + "step": 5218 + }, + { + "epoch": 0.4580694531680705, + "grad_norm": 0.06005859375, + "learning_rate": 0.001977920390654572, + "loss": 1.2405, + "step": 5219 + }, + { + "epoch": 0.458157222750973, + "grad_norm": 0.0673828125, + "learning_rate": 0.0019775089615738, + "loss": 1.2391, + "step": 5220 + }, + { + "epoch": 0.4582449923338755, + "grad_norm": 0.06494140625, + "learning_rate": 0.0019770975001691896, + "loss": 1.2347, + "step": 5221 + }, + { + "epoch": 0.45833276191677796, + "grad_norm": 0.060302734375, + "learning_rate": 0.0019766860064813502, + "loss": 1.1919, + "step": 5222 + }, + { + "epoch": 0.4584205314996805, + "grad_norm": 0.05615234375, + "learning_rate": 0.0019762744805508947, + "loss": 1.1622, + "step": 5223 + }, + { + "epoch": 0.45850830108258295, + "grad_norm": 0.057861328125, + "learning_rate": 0.001975862922418439, + "loss": 1.1976, + "step": 5224 + }, + { + "epoch": 0.4585960706654854, + "grad_norm": 0.060302734375, + "learning_rate": 0.001975451332124602, + "loss": 1.2503, + "step": 5225 + }, + { + "epoch": 0.45868384024838793, + "grad_norm": 0.0556640625, + "learning_rate": 0.001975039709710007, + "loss": 1.1962, + "step": 5226 + }, + { + "epoch": 0.4587716098312904, + "grad_norm": 0.06103515625, + "learning_rate": 0.001974628055215278, + "loss": 1.1837, + "step": 5227 + }, + { + "epoch": 0.4588593794141929, + "grad_norm": 0.05712890625, + "learning_rate": 0.0019742163686810445, + "loss": 1.1658, + "step": 5228 + }, + { + "epoch": 0.4589471489970954, + "grad_norm": 0.0546875, + "learning_rate": 0.001973804650147938, + "loss": 1.1734, + "step": 5229 + }, + { + "epoch": 0.45903491857999784, + "grad_norm": 0.05810546875, + "learning_rate": 0.0019733928996565945, + "loss": 1.208, + "step": 5230 + }, + { + "epoch": 0.45912268816290036, + "grad_norm": 0.05615234375, + "learning_rate": 0.001972981117247651, + "loss": 1.2184, + "step": 5231 + }, + { + "epoch": 0.4592104577458028, + "grad_norm": 0.0556640625, + "learning_rate": 0.0019725693029617494, + "loss": 1.2016, + "step": 5232 + }, + { + "epoch": 0.45929822732870534, + "grad_norm": 0.0537109375, + "learning_rate": 0.0019721574568395336, + "loss": 1.2306, + "step": 5233 + }, + { + "epoch": 0.4593859969116078, + "grad_norm": 0.05029296875, + "learning_rate": 0.001971745578921652, + "loss": 1.1815, + "step": 5234 + }, + { + "epoch": 0.45947376649451027, + "grad_norm": 0.0537109375, + "learning_rate": 0.0019713336692487545, + "loss": 1.2226, + "step": 5235 + }, + { + "epoch": 0.4595615360774128, + "grad_norm": 0.06787109375, + "learning_rate": 0.0019709217278614955, + "loss": 1.1379, + "step": 5236 + }, + { + "epoch": 0.45964930566031525, + "grad_norm": 0.061767578125, + "learning_rate": 0.0019705097548005316, + "loss": 1.233, + "step": 5237 + }, + { + "epoch": 0.4597370752432177, + "grad_norm": 0.057373046875, + "learning_rate": 0.001970097750106523, + "loss": 1.1768, + "step": 5238 + }, + { + "epoch": 0.45982484482612024, + "grad_norm": 0.0771484375, + "learning_rate": 0.0019696857138201333, + "loss": 1.2292, + "step": 5239 + }, + { + "epoch": 0.4599126144090227, + "grad_norm": 0.072265625, + "learning_rate": 0.0019692736459820284, + "loss": 1.2226, + "step": 5240 + }, + { + "epoch": 0.4600003839919252, + "grad_norm": 0.0859375, + "learning_rate": 0.001968861546632878, + "loss": 1.2158, + "step": 5241 + }, + { + "epoch": 0.4600881535748277, + "grad_norm": 0.06005859375, + "learning_rate": 0.0019684494158133544, + "loss": 1.2313, + "step": 5242 + }, + { + "epoch": 0.46017592315773015, + "grad_norm": 0.138671875, + "learning_rate": 0.001968037253564134, + "loss": 1.2212, + "step": 5243 + }, + { + "epoch": 0.46026369274063267, + "grad_norm": 0.05615234375, + "learning_rate": 0.0019676250599258947, + "loss": 1.1952, + "step": 5244 + }, + { + "epoch": 0.46035146232353513, + "grad_norm": 0.130859375, + "learning_rate": 0.001967212834939319, + "loss": 1.2992, + "step": 5245 + }, + { + "epoch": 0.46043923190643765, + "grad_norm": 0.06005859375, + "learning_rate": 0.0019668005786450914, + "loss": 1.2448, + "step": 5246 + }, + { + "epoch": 0.4605270014893401, + "grad_norm": 0.1181640625, + "learning_rate": 0.0019663882910839004, + "loss": 1.182, + "step": 5247 + }, + { + "epoch": 0.4606147710722426, + "grad_norm": 0.05615234375, + "learning_rate": 0.001965975972296437, + "loss": 1.1869, + "step": 5248 + }, + { + "epoch": 0.4607025406551451, + "grad_norm": 0.1298828125, + "learning_rate": 0.0019655636223233955, + "loss": 1.159, + "step": 5249 + }, + { + "epoch": 0.46079031023804756, + "grad_norm": 0.07275390625, + "learning_rate": 0.0019651512412054723, + "loss": 1.2175, + "step": 5250 + }, + { + "epoch": 0.46087807982095, + "grad_norm": 0.0712890625, + "learning_rate": 0.0019647388289833695, + "loss": 1.194, + "step": 5251 + }, + { + "epoch": 0.46096584940385255, + "grad_norm": 0.109375, + "learning_rate": 0.001964326385697789, + "loss": 1.2138, + "step": 5252 + }, + { + "epoch": 0.461053618986755, + "grad_norm": 0.055908203125, + "learning_rate": 0.001963913911389438, + "loss": 1.2219, + "step": 5253 + }, + { + "epoch": 0.46114138856965753, + "grad_norm": 0.08056640625, + "learning_rate": 0.0019635014060990262, + "loss": 1.1674, + "step": 5254 + }, + { + "epoch": 0.46122915815256, + "grad_norm": 0.056640625, + "learning_rate": 0.0019630888698672667, + "loss": 1.2108, + "step": 5255 + }, + { + "epoch": 0.46131692773546246, + "grad_norm": 0.0693359375, + "learning_rate": 0.001962676302734874, + "loss": 1.2211, + "step": 5256 + }, + { + "epoch": 0.461404697318365, + "grad_norm": 0.08447265625, + "learning_rate": 0.0019622637047425674, + "loss": 1.228, + "step": 5257 + }, + { + "epoch": 0.46149246690126744, + "grad_norm": 0.06689453125, + "learning_rate": 0.0019618510759310684, + "loss": 1.2751, + "step": 5258 + }, + { + "epoch": 0.46158023648416996, + "grad_norm": 0.1572265625, + "learning_rate": 0.001961438416341103, + "loss": 1.2846, + "step": 5259 + }, + { + "epoch": 0.4616680060670724, + "grad_norm": 0.06201171875, + "learning_rate": 0.0019610257260133973, + "loss": 1.2056, + "step": 5260 + }, + { + "epoch": 0.4617557756499749, + "grad_norm": 0.125, + "learning_rate": 0.0019606130049886835, + "loss": 1.2114, + "step": 5261 + }, + { + "epoch": 0.4618435452328774, + "grad_norm": 0.06591796875, + "learning_rate": 0.0019602002533076947, + "loss": 1.1723, + "step": 5262 + }, + { + "epoch": 0.46193131481577987, + "grad_norm": 0.06396484375, + "learning_rate": 0.0019597874710111695, + "loss": 1.1502, + "step": 5263 + }, + { + "epoch": 0.46201908439868233, + "grad_norm": 0.056884765625, + "learning_rate": 0.001959374658139846, + "loss": 1.1504, + "step": 5264 + }, + { + "epoch": 0.46210685398158485, + "grad_norm": 0.06005859375, + "learning_rate": 0.0019589618147344673, + "loss": 1.1947, + "step": 5265 + }, + { + "epoch": 0.4621946235644873, + "grad_norm": 0.060546875, + "learning_rate": 0.0019585489408357804, + "loss": 1.1834, + "step": 5266 + }, + { + "epoch": 0.46228239314738984, + "grad_norm": 0.099609375, + "learning_rate": 0.0019581360364845342, + "loss": 1.2166, + "step": 5267 + }, + { + "epoch": 0.4623701627302923, + "grad_norm": 0.0849609375, + "learning_rate": 0.00195772310172148, + "loss": 1.2282, + "step": 5268 + }, + { + "epoch": 0.46245793231319476, + "grad_norm": 0.08837890625, + "learning_rate": 0.0019573101365873737, + "loss": 1.2422, + "step": 5269 + }, + { + "epoch": 0.4625457018960973, + "grad_norm": 0.07373046875, + "learning_rate": 0.001956897141122973, + "loss": 1.2101, + "step": 5270 + }, + { + "epoch": 0.46263347147899975, + "grad_norm": 0.0556640625, + "learning_rate": 0.0019564841153690386, + "loss": 1.2027, + "step": 5271 + }, + { + "epoch": 0.46272124106190227, + "grad_norm": 0.052978515625, + "learning_rate": 0.0019560710593663345, + "loss": 1.1852, + "step": 5272 + }, + { + "epoch": 0.46280901064480473, + "grad_norm": 0.12109375, + "learning_rate": 0.0019556579731556277, + "loss": 1.1748, + "step": 5273 + }, + { + "epoch": 0.4628967802277072, + "grad_norm": 0.051025390625, + "learning_rate": 0.0019552448567776884, + "loss": 1.1634, + "step": 5274 + }, + { + "epoch": 0.4629845498106097, + "grad_norm": 0.0986328125, + "learning_rate": 0.00195483171027329, + "loss": 1.1983, + "step": 5275 + }, + { + "epoch": 0.4630723193935122, + "grad_norm": 0.09521484375, + "learning_rate": 0.0019544185336832077, + "loss": 1.1762, + "step": 5276 + }, + { + "epoch": 0.46316008897641464, + "grad_norm": 0.056396484375, + "learning_rate": 0.001954005327048221, + "loss": 1.2566, + "step": 5277 + }, + { + "epoch": 0.46324785855931716, + "grad_norm": 0.08544921875, + "learning_rate": 0.001953592090409111, + "loss": 1.2028, + "step": 5278 + }, + { + "epoch": 0.4633356281422196, + "grad_norm": 0.057373046875, + "learning_rate": 0.001953178823806663, + "loss": 1.1755, + "step": 5279 + }, + { + "epoch": 0.46342339772512214, + "grad_norm": 0.058837890625, + "learning_rate": 0.0019527655272816645, + "loss": 1.2327, + "step": 5280 + }, + { + "epoch": 0.4635111673080246, + "grad_norm": 0.0673828125, + "learning_rate": 0.0019523522008749068, + "loss": 1.1879, + "step": 5281 + }, + { + "epoch": 0.46359893689092707, + "grad_norm": 0.09765625, + "learning_rate": 0.0019519388446271831, + "loss": 1.2911, + "step": 5282 + }, + { + "epoch": 0.4636867064738296, + "grad_norm": 0.07080078125, + "learning_rate": 0.0019515254585792904, + "loss": 1.1939, + "step": 5283 + }, + { + "epoch": 0.46377447605673205, + "grad_norm": 0.068359375, + "learning_rate": 0.001951112042772028, + "loss": 1.2266, + "step": 5284 + }, + { + "epoch": 0.4638622456396346, + "grad_norm": 0.11376953125, + "learning_rate": 0.0019506985972461977, + "loss": 1.1927, + "step": 5285 + }, + { + "epoch": 0.46395001522253704, + "grad_norm": 0.05712890625, + "learning_rate": 0.0019502851220426067, + "loss": 1.2419, + "step": 5286 + }, + { + "epoch": 0.4640377848054395, + "grad_norm": 0.09033203125, + "learning_rate": 0.001949871617202061, + "loss": 1.1644, + "step": 5287 + }, + { + "epoch": 0.464125554388342, + "grad_norm": 0.076171875, + "learning_rate": 0.0019494580827653742, + "loss": 1.1231, + "step": 5288 + }, + { + "epoch": 0.4642133239712445, + "grad_norm": 0.0703125, + "learning_rate": 0.0019490445187733594, + "loss": 1.191, + "step": 5289 + }, + { + "epoch": 0.46430109355414695, + "grad_norm": 0.054443359375, + "learning_rate": 0.0019486309252668339, + "loss": 1.1483, + "step": 5290 + }, + { + "epoch": 0.46438886313704947, + "grad_norm": 0.051025390625, + "learning_rate": 0.0019482173022866173, + "loss": 1.219, + "step": 5291 + }, + { + "epoch": 0.46447663271995193, + "grad_norm": 0.0654296875, + "learning_rate": 0.0019478036498735331, + "loss": 1.242, + "step": 5292 + }, + { + "epoch": 0.46456440230285445, + "grad_norm": 0.07080078125, + "learning_rate": 0.0019473899680684072, + "loss": 1.2145, + "step": 5293 + }, + { + "epoch": 0.4646521718857569, + "grad_norm": 0.0537109375, + "learning_rate": 0.001946976256912068, + "loss": 1.1927, + "step": 5294 + }, + { + "epoch": 0.4647399414686594, + "grad_norm": 0.05224609375, + "learning_rate": 0.0019465625164453476, + "loss": 1.2113, + "step": 5295 + }, + { + "epoch": 0.4648277110515619, + "grad_norm": 0.0673828125, + "learning_rate": 0.0019461487467090802, + "loss": 1.2007, + "step": 5296 + }, + { + "epoch": 0.46491548063446436, + "grad_norm": 0.060791015625, + "learning_rate": 0.0019457349477441028, + "loss": 1.1845, + "step": 5297 + }, + { + "epoch": 0.4650032502173669, + "grad_norm": 0.061279296875, + "learning_rate": 0.0019453211195912571, + "loss": 1.2784, + "step": 5298 + }, + { + "epoch": 0.46509101980026935, + "grad_norm": 0.0546875, + "learning_rate": 0.0019449072622913846, + "loss": 1.1871, + "step": 5299 + }, + { + "epoch": 0.4651787893831718, + "grad_norm": 0.053466796875, + "learning_rate": 0.0019444933758853327, + "loss": 1.1931, + "step": 5300 + }, + { + "epoch": 0.46526655896607433, + "grad_norm": 0.06201171875, + "learning_rate": 0.0019440794604139494, + "loss": 1.2036, + "step": 5301 + }, + { + "epoch": 0.4653543285489768, + "grad_norm": 0.055908203125, + "learning_rate": 0.0019436655159180876, + "loss": 1.1831, + "step": 5302 + }, + { + "epoch": 0.4654420981318793, + "grad_norm": 0.057861328125, + "learning_rate": 0.0019432515424386008, + "loss": 1.1998, + "step": 5303 + }, + { + "epoch": 0.4655298677147818, + "grad_norm": 0.06689453125, + "learning_rate": 0.0019428375400163474, + "loss": 1.1823, + "step": 5304 + }, + { + "epoch": 0.46561763729768424, + "grad_norm": 0.06640625, + "learning_rate": 0.001942423508692187, + "loss": 1.1731, + "step": 5305 + }, + { + "epoch": 0.46570540688058676, + "grad_norm": 0.057373046875, + "learning_rate": 0.0019420094485069841, + "loss": 1.2139, + "step": 5306 + }, + { + "epoch": 0.4657931764634892, + "grad_norm": 0.07568359375, + "learning_rate": 0.0019415953595016036, + "loss": 1.1909, + "step": 5307 + }, + { + "epoch": 0.4658809460463917, + "grad_norm": 0.05615234375, + "learning_rate": 0.0019411812417169149, + "loss": 1.2421, + "step": 5308 + }, + { + "epoch": 0.4659687156292942, + "grad_norm": 0.0615234375, + "learning_rate": 0.00194076709519379, + "loss": 1.1763, + "step": 5309 + }, + { + "epoch": 0.46605648521219667, + "grad_norm": 0.060791015625, + "learning_rate": 0.0019403529199731031, + "loss": 1.195, + "step": 5310 + }, + { + "epoch": 0.4661442547950992, + "grad_norm": 0.052978515625, + "learning_rate": 0.0019399387160957322, + "loss": 1.1828, + "step": 5311 + }, + { + "epoch": 0.46623202437800165, + "grad_norm": 0.0712890625, + "learning_rate": 0.0019395244836025566, + "loss": 1.2152, + "step": 5312 + }, + { + "epoch": 0.4663197939609041, + "grad_norm": 0.06884765625, + "learning_rate": 0.0019391102225344607, + "loss": 1.2397, + "step": 5313 + }, + { + "epoch": 0.46640756354380664, + "grad_norm": 0.052490234375, + "learning_rate": 0.0019386959329323297, + "loss": 1.1872, + "step": 5314 + }, + { + "epoch": 0.4664953331267091, + "grad_norm": 0.057373046875, + "learning_rate": 0.0019382816148370524, + "loss": 1.2148, + "step": 5315 + }, + { + "epoch": 0.4665831027096116, + "grad_norm": 0.05419921875, + "learning_rate": 0.0019378672682895202, + "loss": 1.189, + "step": 5316 + }, + { + "epoch": 0.4666708722925141, + "grad_norm": 0.052490234375, + "learning_rate": 0.0019374528933306277, + "loss": 1.2509, + "step": 5317 + }, + { + "epoch": 0.46675864187541655, + "grad_norm": 0.05029296875, + "learning_rate": 0.001937038490001272, + "loss": 1.1565, + "step": 5318 + }, + { + "epoch": 0.46684641145831907, + "grad_norm": 0.052978515625, + "learning_rate": 0.001936624058342353, + "loss": 1.2591, + "step": 5319 + }, + { + "epoch": 0.46693418104122153, + "grad_norm": 0.0673828125, + "learning_rate": 0.001936209598394774, + "loss": 1.1724, + "step": 5320 + }, + { + "epoch": 0.467021950624124, + "grad_norm": 0.076171875, + "learning_rate": 0.0019357951101994396, + "loss": 1.2657, + "step": 5321 + }, + { + "epoch": 0.4671097202070265, + "grad_norm": 0.06005859375, + "learning_rate": 0.0019353805937972592, + "loss": 1.158, + "step": 5322 + }, + { + "epoch": 0.467197489789929, + "grad_norm": 0.06298828125, + "learning_rate": 0.0019349660492291427, + "loss": 1.1995, + "step": 5323 + }, + { + "epoch": 0.4672852593728315, + "grad_norm": 0.06640625, + "learning_rate": 0.0019345514765360052, + "loss": 1.251, + "step": 5324 + }, + { + "epoch": 0.46737302895573396, + "grad_norm": 0.107421875, + "learning_rate": 0.0019341368757587623, + "loss": 1.2142, + "step": 5325 + }, + { + "epoch": 0.4674607985386364, + "grad_norm": 0.057861328125, + "learning_rate": 0.0019337222469383351, + "loss": 1.2277, + "step": 5326 + }, + { + "epoch": 0.46754856812153894, + "grad_norm": 0.099609375, + "learning_rate": 0.0019333075901156438, + "loss": 1.1799, + "step": 5327 + }, + { + "epoch": 0.4676363377044414, + "grad_norm": 0.05859375, + "learning_rate": 0.0019328929053316147, + "loss": 1.246, + "step": 5328 + }, + { + "epoch": 0.4677241072873439, + "grad_norm": 0.10888671875, + "learning_rate": 0.0019324781926271751, + "loss": 1.2057, + "step": 5329 + }, + { + "epoch": 0.4678118768702464, + "grad_norm": 0.07177734375, + "learning_rate": 0.0019320634520432558, + "loss": 1.1849, + "step": 5330 + }, + { + "epoch": 0.46789964645314885, + "grad_norm": 0.0751953125, + "learning_rate": 0.0019316486836207895, + "loss": 1.1744, + "step": 5331 + }, + { + "epoch": 0.4679874160360514, + "grad_norm": 0.058837890625, + "learning_rate": 0.0019312338874007133, + "loss": 1.2112, + "step": 5332 + }, + { + "epoch": 0.46807518561895384, + "grad_norm": 0.07275390625, + "learning_rate": 0.0019308190634239647, + "loss": 1.189, + "step": 5333 + }, + { + "epoch": 0.4681629552018563, + "grad_norm": 0.061279296875, + "learning_rate": 0.0019304042117314856, + "loss": 1.1498, + "step": 5334 + }, + { + "epoch": 0.4682507247847588, + "grad_norm": 0.0576171875, + "learning_rate": 0.0019299893323642204, + "loss": 1.1582, + "step": 5335 + }, + { + "epoch": 0.4683384943676613, + "grad_norm": 0.07568359375, + "learning_rate": 0.0019295744253631157, + "loss": 1.2033, + "step": 5336 + }, + { + "epoch": 0.4684262639505638, + "grad_norm": 0.059326171875, + "learning_rate": 0.001929159490769122, + "loss": 1.1697, + "step": 5337 + }, + { + "epoch": 0.46851403353346627, + "grad_norm": 0.09375, + "learning_rate": 0.0019287445286231902, + "loss": 1.2606, + "step": 5338 + }, + { + "epoch": 0.46860180311636873, + "grad_norm": 0.07666015625, + "learning_rate": 0.0019283295389662775, + "loss": 1.2327, + "step": 5339 + }, + { + "epoch": 0.46868957269927125, + "grad_norm": 0.0654296875, + "learning_rate": 0.00192791452183934, + "loss": 1.228, + "step": 5340 + }, + { + "epoch": 0.4687773422821737, + "grad_norm": 0.109375, + "learning_rate": 0.001927499477283339, + "loss": 1.1574, + "step": 5341 + }, + { + "epoch": 0.46886511186507623, + "grad_norm": 0.080078125, + "learning_rate": 0.0019270844053392371, + "loss": 1.2046, + "step": 5342 + }, + { + "epoch": 0.4689528814479787, + "grad_norm": 0.0927734375, + "learning_rate": 0.0019266693060480016, + "loss": 1.1962, + "step": 5343 + }, + { + "epoch": 0.46904065103088116, + "grad_norm": 0.05615234375, + "learning_rate": 0.0019262541794505996, + "loss": 1.1862, + "step": 5344 + }, + { + "epoch": 0.4691284206137837, + "grad_norm": 0.150390625, + "learning_rate": 0.0019258390255880037, + "loss": 1.2534, + "step": 5345 + }, + { + "epoch": 0.46921619019668614, + "grad_norm": 0.0869140625, + "learning_rate": 0.0019254238445011874, + "loss": 1.1938, + "step": 5346 + }, + { + "epoch": 0.4693039597795886, + "grad_norm": 0.091796875, + "learning_rate": 0.001925008636231127, + "loss": 1.3485, + "step": 5347 + }, + { + "epoch": 0.46939172936249113, + "grad_norm": 0.06689453125, + "learning_rate": 0.001924593400818802, + "loss": 1.2057, + "step": 5348 + }, + { + "epoch": 0.4694794989453936, + "grad_norm": 0.08203125, + "learning_rate": 0.0019241781383051958, + "loss": 1.1769, + "step": 5349 + }, + { + "epoch": 0.4695672685282961, + "grad_norm": 0.059326171875, + "learning_rate": 0.001923762848731292, + "loss": 1.2, + "step": 5350 + }, + { + "epoch": 0.4696550381111986, + "grad_norm": 0.06298828125, + "learning_rate": 0.0019233475321380781, + "loss": 1.2359, + "step": 5351 + }, + { + "epoch": 0.46974280769410104, + "grad_norm": 0.058349609375, + "learning_rate": 0.0019229321885665444, + "loss": 1.2209, + "step": 5352 + }, + { + "epoch": 0.46983057727700356, + "grad_norm": 0.06396484375, + "learning_rate": 0.0019225168180576832, + "loss": 1.187, + "step": 5353 + }, + { + "epoch": 0.469918346859906, + "grad_norm": 0.06591796875, + "learning_rate": 0.0019221014206524908, + "loss": 1.1831, + "step": 5354 + }, + { + "epoch": 0.47000611644280854, + "grad_norm": 0.103515625, + "learning_rate": 0.001921685996391965, + "loss": 1.1781, + "step": 5355 + }, + { + "epoch": 0.470093886025711, + "grad_norm": 0.0556640625, + "learning_rate": 0.0019212705453171062, + "loss": 1.1746, + "step": 5356 + }, + { + "epoch": 0.47018165560861347, + "grad_norm": 0.0712890625, + "learning_rate": 0.0019208550674689178, + "loss": 1.1832, + "step": 5357 + }, + { + "epoch": 0.470269425191516, + "grad_norm": 0.06396484375, + "learning_rate": 0.0019204395628884057, + "loss": 1.1755, + "step": 5358 + }, + { + "epoch": 0.47035719477441845, + "grad_norm": 0.0908203125, + "learning_rate": 0.0019200240316165794, + "loss": 1.2429, + "step": 5359 + }, + { + "epoch": 0.4704449643573209, + "grad_norm": 0.0693359375, + "learning_rate": 0.0019196084736944493, + "loss": 1.1878, + "step": 5360 + }, + { + "epoch": 0.47053273394022344, + "grad_norm": 0.0712890625, + "learning_rate": 0.0019191928891630302, + "loss": 1.2124, + "step": 5361 + }, + { + "epoch": 0.4706205035231259, + "grad_norm": 0.08203125, + "learning_rate": 0.0019187772780633373, + "loss": 1.2221, + "step": 5362 + }, + { + "epoch": 0.4707082731060284, + "grad_norm": 0.056396484375, + "learning_rate": 0.0019183616404363907, + "loss": 1.2346, + "step": 5363 + }, + { + "epoch": 0.4707960426889309, + "grad_norm": 0.080078125, + "learning_rate": 0.0019179459763232123, + "loss": 1.1943, + "step": 5364 + }, + { + "epoch": 0.47088381227183335, + "grad_norm": 0.07421875, + "learning_rate": 0.0019175302857648263, + "loss": 1.2541, + "step": 5365 + }, + { + "epoch": 0.47097158185473587, + "grad_norm": 0.07275390625, + "learning_rate": 0.0019171145688022593, + "loss": 1.1844, + "step": 5366 + }, + { + "epoch": 0.47105935143763833, + "grad_norm": 0.06396484375, + "learning_rate": 0.001916698825476542, + "loss": 1.2668, + "step": 5367 + }, + { + "epoch": 0.47114712102054085, + "grad_norm": 0.05322265625, + "learning_rate": 0.0019162830558287051, + "loss": 1.2319, + "step": 5368 + }, + { + "epoch": 0.4712348906034433, + "grad_norm": 0.0751953125, + "learning_rate": 0.0019158672598997843, + "loss": 1.1886, + "step": 5369 + }, + { + "epoch": 0.4713226601863458, + "grad_norm": 0.054931640625, + "learning_rate": 0.001915451437730817, + "loss": 1.219, + "step": 5370 + }, + { + "epoch": 0.4714104297692483, + "grad_norm": 0.076171875, + "learning_rate": 0.0019150355893628433, + "loss": 1.193, + "step": 5371 + }, + { + "epoch": 0.47149819935215076, + "grad_norm": 0.059326171875, + "learning_rate": 0.0019146197148369056, + "loss": 1.16, + "step": 5372 + }, + { + "epoch": 0.4715859689350533, + "grad_norm": 0.056396484375, + "learning_rate": 0.001914203814194049, + "loss": 1.2006, + "step": 5373 + }, + { + "epoch": 0.47167373851795574, + "grad_norm": 0.0595703125, + "learning_rate": 0.0019137878874753214, + "loss": 1.2333, + "step": 5374 + }, + { + "epoch": 0.4717615081008582, + "grad_norm": 0.07861328125, + "learning_rate": 0.0019133719347217734, + "loss": 1.2414, + "step": 5375 + }, + { + "epoch": 0.4718492776837607, + "grad_norm": 0.07373046875, + "learning_rate": 0.0019129559559744572, + "loss": 1.1961, + "step": 5376 + }, + { + "epoch": 0.4719370472666632, + "grad_norm": 0.07177734375, + "learning_rate": 0.001912539951274429, + "loss": 1.1999, + "step": 5377 + }, + { + "epoch": 0.47202481684956565, + "grad_norm": 0.08056640625, + "learning_rate": 0.0019121239206627456, + "loss": 1.2018, + "step": 5378 + }, + { + "epoch": 0.4721125864324682, + "grad_norm": 0.05078125, + "learning_rate": 0.0019117078641804688, + "loss": 1.1275, + "step": 5379 + }, + { + "epoch": 0.47220035601537064, + "grad_norm": 0.0654296875, + "learning_rate": 0.0019112917818686617, + "loss": 1.2018, + "step": 5380 + }, + { + "epoch": 0.47228812559827316, + "grad_norm": 0.061279296875, + "learning_rate": 0.0019108756737683894, + "loss": 1.1821, + "step": 5381 + }, + { + "epoch": 0.4723758951811756, + "grad_norm": 0.060302734375, + "learning_rate": 0.0019104595399207199, + "loss": 1.1848, + "step": 5382 + }, + { + "epoch": 0.4724636647640781, + "grad_norm": 0.083984375, + "learning_rate": 0.0019100433803667246, + "loss": 1.274, + "step": 5383 + }, + { + "epoch": 0.4725514343469806, + "grad_norm": 0.060791015625, + "learning_rate": 0.0019096271951474768, + "loss": 1.2939, + "step": 5384 + }, + { + "epoch": 0.47263920392988307, + "grad_norm": 0.0654296875, + "learning_rate": 0.0019092109843040518, + "loss": 1.2287, + "step": 5385 + }, + { + "epoch": 0.4727269735127856, + "grad_norm": 0.10986328125, + "learning_rate": 0.0019087947478775291, + "loss": 1.2127, + "step": 5386 + }, + { + "epoch": 0.47281474309568805, + "grad_norm": 0.06884765625, + "learning_rate": 0.001908378485908988, + "loss": 1.2372, + "step": 5387 + }, + { + "epoch": 0.4729025126785905, + "grad_norm": 0.06298828125, + "learning_rate": 0.001907962198439513, + "loss": 1.2388, + "step": 5388 + }, + { + "epoch": 0.47299028226149303, + "grad_norm": 0.0966796875, + "learning_rate": 0.0019075458855101896, + "loss": 1.2305, + "step": 5389 + }, + { + "epoch": 0.4730780518443955, + "grad_norm": 0.0673828125, + "learning_rate": 0.0019071295471621065, + "loss": 1.2861, + "step": 5390 + }, + { + "epoch": 0.47316582142729796, + "grad_norm": 0.07421875, + "learning_rate": 0.0019067131834363544, + "loss": 1.1988, + "step": 5391 + }, + { + "epoch": 0.4732535910102005, + "grad_norm": 0.068359375, + "learning_rate": 0.0019062967943740273, + "loss": 1.2323, + "step": 5392 + }, + { + "epoch": 0.47334136059310294, + "grad_norm": 0.058349609375, + "learning_rate": 0.0019058803800162197, + "loss": 1.1763, + "step": 5393 + }, + { + "epoch": 0.47342913017600546, + "grad_norm": 0.05517578125, + "learning_rate": 0.0019054639404040318, + "loss": 1.24, + "step": 5394 + }, + { + "epoch": 0.4735168997589079, + "grad_norm": 0.06591796875, + "learning_rate": 0.0019050474755785635, + "loss": 1.2037, + "step": 5395 + }, + { + "epoch": 0.4736046693418104, + "grad_norm": 0.07958984375, + "learning_rate": 0.0019046309855809192, + "loss": 1.1655, + "step": 5396 + }, + { + "epoch": 0.4736924389247129, + "grad_norm": 0.10791015625, + "learning_rate": 0.0019042144704522032, + "loss": 1.2159, + "step": 5397 + }, + { + "epoch": 0.4737802085076154, + "grad_norm": 0.072265625, + "learning_rate": 0.0019037979302335252, + "loss": 1.1991, + "step": 5398 + }, + { + "epoch": 0.4738679780905179, + "grad_norm": 0.1083984375, + "learning_rate": 0.001903381364965996, + "loss": 1.2288, + "step": 5399 + }, + { + "epoch": 0.47395574767342036, + "grad_norm": 0.0625, + "learning_rate": 0.0019029647746907285, + "loss": 1.225, + "step": 5400 + }, + { + "epoch": 0.4740435172563228, + "grad_norm": 0.06689453125, + "learning_rate": 0.0019025481594488385, + "loss": 1.2515, + "step": 5401 + }, + { + "epoch": 0.47413128683922534, + "grad_norm": 0.056396484375, + "learning_rate": 0.001902131519281445, + "loss": 1.1419, + "step": 5402 + }, + { + "epoch": 0.4742190564221278, + "grad_norm": 0.06640625, + "learning_rate": 0.0019017148542296671, + "loss": 1.2398, + "step": 5403 + }, + { + "epoch": 0.47430682600503027, + "grad_norm": 0.0625, + "learning_rate": 0.0019012981643346302, + "loss": 1.2144, + "step": 5404 + }, + { + "epoch": 0.4743945955879328, + "grad_norm": 0.08349609375, + "learning_rate": 0.0019008814496374578, + "loss": 1.251, + "step": 5405 + }, + { + "epoch": 0.47448236517083525, + "grad_norm": 0.0615234375, + "learning_rate": 0.00190046471017928, + "loss": 1.2039, + "step": 5406 + }, + { + "epoch": 0.47457013475373777, + "grad_norm": 0.10205078125, + "learning_rate": 0.0019000479460012255, + "loss": 1.2528, + "step": 5407 + }, + { + "epoch": 0.47465790433664024, + "grad_norm": 0.056884765625, + "learning_rate": 0.0018996311571444285, + "loss": 1.1995, + "step": 5408 + }, + { + "epoch": 0.4747456739195427, + "grad_norm": 0.111328125, + "learning_rate": 0.0018992143436500238, + "loss": 1.1862, + "step": 5409 + }, + { + "epoch": 0.4748334435024452, + "grad_norm": 0.05419921875, + "learning_rate": 0.0018987975055591501, + "loss": 1.1682, + "step": 5410 + }, + { + "epoch": 0.4749212130853477, + "grad_norm": 0.08056640625, + "learning_rate": 0.0018983806429129465, + "loss": 1.2197, + "step": 5411 + }, + { + "epoch": 0.4750089826682502, + "grad_norm": 0.06298828125, + "learning_rate": 0.0018979637557525566, + "loss": 1.2137, + "step": 5412 + }, + { + "epoch": 0.47509675225115267, + "grad_norm": 0.06298828125, + "learning_rate": 0.0018975468441191246, + "loss": 1.2378, + "step": 5413 + }, + { + "epoch": 0.47518452183405513, + "grad_norm": 0.05126953125, + "learning_rate": 0.001897129908053799, + "loss": 1.1529, + "step": 5414 + }, + { + "epoch": 0.47527229141695765, + "grad_norm": 0.0869140625, + "learning_rate": 0.0018967129475977293, + "loss": 1.2306, + "step": 5415 + }, + { + "epoch": 0.4753600609998601, + "grad_norm": 0.05078125, + "learning_rate": 0.001896295962792068, + "loss": 1.2262, + "step": 5416 + }, + { + "epoch": 0.4754478305827626, + "grad_norm": 0.07470703125, + "learning_rate": 0.0018958789536779692, + "loss": 1.1877, + "step": 5417 + }, + { + "epoch": 0.4755356001656651, + "grad_norm": 0.080078125, + "learning_rate": 0.0018954619202965909, + "loss": 1.256, + "step": 5418 + }, + { + "epoch": 0.47562336974856756, + "grad_norm": 0.05322265625, + "learning_rate": 0.0018950448626890925, + "loss": 1.1814, + "step": 5419 + }, + { + "epoch": 0.4757111393314701, + "grad_norm": 0.08349609375, + "learning_rate": 0.0018946277808966354, + "loss": 1.187, + "step": 5420 + }, + { + "epoch": 0.47579890891437254, + "grad_norm": 0.10302734375, + "learning_rate": 0.0018942106749603846, + "loss": 1.2209, + "step": 5421 + }, + { + "epoch": 0.475886678497275, + "grad_norm": 0.05712890625, + "learning_rate": 0.0018937935449215063, + "loss": 1.2644, + "step": 5422 + }, + { + "epoch": 0.4759744480801775, + "grad_norm": 0.15625, + "learning_rate": 0.0018933763908211697, + "loss": 1.1862, + "step": 5423 + }, + { + "epoch": 0.47606221766308, + "grad_norm": 0.055419921875, + "learning_rate": 0.0018929592127005465, + "loss": 1.2334, + "step": 5424 + }, + { + "epoch": 0.4761499872459825, + "grad_norm": 0.11474609375, + "learning_rate": 0.0018925420106008103, + "loss": 1.2364, + "step": 5425 + }, + { + "epoch": 0.476237756828885, + "grad_norm": 0.06396484375, + "learning_rate": 0.001892124784563137, + "loss": 1.2192, + "step": 5426 + }, + { + "epoch": 0.47632552641178744, + "grad_norm": 0.052978515625, + "learning_rate": 0.0018917075346287057, + "loss": 1.2153, + "step": 5427 + }, + { + "epoch": 0.47641329599468996, + "grad_norm": 0.08642578125, + "learning_rate": 0.0018912902608386971, + "loss": 1.2239, + "step": 5428 + }, + { + "epoch": 0.4765010655775924, + "grad_norm": 0.0869140625, + "learning_rate": 0.0018908729632342947, + "loss": 1.1532, + "step": 5429 + }, + { + "epoch": 0.4765888351604949, + "grad_norm": 0.09130859375, + "learning_rate": 0.0018904556418566836, + "loss": 1.1592, + "step": 5430 + }, + { + "epoch": 0.4766766047433974, + "grad_norm": 0.07666015625, + "learning_rate": 0.0018900382967470526, + "loss": 1.2249, + "step": 5431 + }, + { + "epoch": 0.47676437432629987, + "grad_norm": 0.080078125, + "learning_rate": 0.0018896209279465912, + "loss": 1.2173, + "step": 5432 + }, + { + "epoch": 0.4768521439092024, + "grad_norm": 0.05615234375, + "learning_rate": 0.001889203535496492, + "loss": 1.1793, + "step": 5433 + }, + { + "epoch": 0.47693991349210485, + "grad_norm": 0.06982421875, + "learning_rate": 0.0018887861194379508, + "loss": 1.2489, + "step": 5434 + }, + { + "epoch": 0.4770276830750073, + "grad_norm": 0.06689453125, + "learning_rate": 0.0018883686798121643, + "loss": 1.1835, + "step": 5435 + }, + { + "epoch": 0.47711545265790983, + "grad_norm": 0.059326171875, + "learning_rate": 0.0018879512166603322, + "loss": 1.2847, + "step": 5436 + }, + { + "epoch": 0.4772032222408123, + "grad_norm": 0.083984375, + "learning_rate": 0.0018875337300236568, + "loss": 1.1481, + "step": 5437 + }, + { + "epoch": 0.4772909918237148, + "grad_norm": 0.0673828125, + "learning_rate": 0.0018871162199433418, + "loss": 1.2312, + "step": 5438 + }, + { + "epoch": 0.4773787614066173, + "grad_norm": 0.0849609375, + "learning_rate": 0.0018866986864605941, + "loss": 1.1675, + "step": 5439 + }, + { + "epoch": 0.47746653098951974, + "grad_norm": 0.0712890625, + "learning_rate": 0.0018862811296166228, + "loss": 1.1945, + "step": 5440 + }, + { + "epoch": 0.47755430057242226, + "grad_norm": 0.057373046875, + "learning_rate": 0.001885863549452639, + "loss": 1.2894, + "step": 5441 + }, + { + "epoch": 0.4776420701553247, + "grad_norm": 0.072265625, + "learning_rate": 0.0018854459460098557, + "loss": 1.1475, + "step": 5442 + }, + { + "epoch": 0.47772983973822725, + "grad_norm": 0.15234375, + "learning_rate": 0.0018850283193294897, + "loss": 1.243, + "step": 5443 + }, + { + "epoch": 0.4778176093211297, + "grad_norm": 0.068359375, + "learning_rate": 0.0018846106694527579, + "loss": 1.1649, + "step": 5444 + }, + { + "epoch": 0.4779053789040322, + "grad_norm": 0.1640625, + "learning_rate": 0.001884192996420882, + "loss": 1.2046, + "step": 5445 + }, + { + "epoch": 0.4779931484869347, + "grad_norm": 0.0615234375, + "learning_rate": 0.0018837753002750837, + "loss": 1.233, + "step": 5446 + }, + { + "epoch": 0.47808091806983716, + "grad_norm": 0.05322265625, + "learning_rate": 0.0018833575810565887, + "loss": 1.1433, + "step": 5447 + }, + { + "epoch": 0.4781686876527396, + "grad_norm": 0.1669921875, + "learning_rate": 0.001882939838806623, + "loss": 1.2221, + "step": 5448 + }, + { + "epoch": 0.47825645723564214, + "grad_norm": 0.052001953125, + "learning_rate": 0.0018825220735664173, + "loss": 1.2185, + "step": 5449 + }, + { + "epoch": 0.4783442268185446, + "grad_norm": 0.0859375, + "learning_rate": 0.0018821042853772027, + "loss": 1.2177, + "step": 5450 + }, + { + "epoch": 0.4784319964014471, + "grad_norm": 0.06298828125, + "learning_rate": 0.001881686474280214, + "loss": 1.2403, + "step": 5451 + }, + { + "epoch": 0.4785197659843496, + "grad_norm": 0.0712890625, + "learning_rate": 0.0018812686403166868, + "loss": 1.2125, + "step": 5452 + }, + { + "epoch": 0.47860753556725205, + "grad_norm": 0.055908203125, + "learning_rate": 0.0018808507835278603, + "loss": 1.1971, + "step": 5453 + }, + { + "epoch": 0.47869530515015457, + "grad_norm": 0.0791015625, + "learning_rate": 0.001880432903954974, + "loss": 1.2094, + "step": 5454 + }, + { + "epoch": 0.47878307473305703, + "grad_norm": 0.052978515625, + "learning_rate": 0.0018800150016392726, + "loss": 1.2247, + "step": 5455 + }, + { + "epoch": 0.47887084431595955, + "grad_norm": 0.08935546875, + "learning_rate": 0.0018795970766220002, + "loss": 1.2075, + "step": 5456 + }, + { + "epoch": 0.478958613898862, + "grad_norm": 0.07470703125, + "learning_rate": 0.0018791791289444054, + "loss": 1.2449, + "step": 5457 + }, + { + "epoch": 0.4790463834817645, + "grad_norm": 0.09912109375, + "learning_rate": 0.0018787611586477367, + "loss": 1.185, + "step": 5458 + }, + { + "epoch": 0.479134153064667, + "grad_norm": 0.0859375, + "learning_rate": 0.0018783431657732475, + "loss": 1.1308, + "step": 5459 + }, + { + "epoch": 0.47922192264756946, + "grad_norm": 0.059814453125, + "learning_rate": 0.0018779251503621905, + "loss": 1.2188, + "step": 5460 + }, + { + "epoch": 0.47930969223047193, + "grad_norm": 0.109375, + "learning_rate": 0.0018775071124558238, + "loss": 1.2285, + "step": 5461 + }, + { + "epoch": 0.47939746181337445, + "grad_norm": 0.05615234375, + "learning_rate": 0.0018770890520954052, + "loss": 1.2429, + "step": 5462 + }, + { + "epoch": 0.4794852313962769, + "grad_norm": 0.056396484375, + "learning_rate": 0.0018766709693221954, + "loss": 1.1764, + "step": 5463 + }, + { + "epoch": 0.47957300097917943, + "grad_norm": 0.07568359375, + "learning_rate": 0.0018762528641774574, + "loss": 1.2362, + "step": 5464 + }, + { + "epoch": 0.4796607705620819, + "grad_norm": 0.05126953125, + "learning_rate": 0.0018758347367024578, + "loss": 1.1588, + "step": 5465 + }, + { + "epoch": 0.47974854014498436, + "grad_norm": 0.068359375, + "learning_rate": 0.001875416586938463, + "loss": 1.1684, + "step": 5466 + }, + { + "epoch": 0.4798363097278869, + "grad_norm": 0.1103515625, + "learning_rate": 0.001874998414926743, + "loss": 1.2048, + "step": 5467 + }, + { + "epoch": 0.47992407931078934, + "grad_norm": 0.11083984375, + "learning_rate": 0.0018745802207085697, + "loss": 1.2096, + "step": 5468 + }, + { + "epoch": 0.48001184889369186, + "grad_norm": 0.0693359375, + "learning_rate": 0.001874162004325217, + "loss": 1.1891, + "step": 5469 + }, + { + "epoch": 0.4800996184765943, + "grad_norm": 0.06982421875, + "learning_rate": 0.0018737437658179615, + "loss": 1.2167, + "step": 5470 + }, + { + "epoch": 0.4801873880594968, + "grad_norm": 0.0556640625, + "learning_rate": 0.0018733255052280817, + "loss": 1.2415, + "step": 5471 + }, + { + "epoch": 0.4802751576423993, + "grad_norm": 0.08447265625, + "learning_rate": 0.001872907222596858, + "loss": 1.2448, + "step": 5472 + }, + { + "epoch": 0.4803629272253018, + "grad_norm": 0.05712890625, + "learning_rate": 0.0018724889179655743, + "loss": 1.2422, + "step": 5473 + }, + { + "epoch": 0.48045069680820424, + "grad_norm": 0.07470703125, + "learning_rate": 0.001872070591375514, + "loss": 1.2266, + "step": 5474 + }, + { + "epoch": 0.48053846639110676, + "grad_norm": 0.07373046875, + "learning_rate": 0.001871652242867965, + "loss": 1.2296, + "step": 5475 + }, + { + "epoch": 0.4806262359740092, + "grad_norm": 0.07275390625, + "learning_rate": 0.001871233872484217, + "loss": 1.2309, + "step": 5476 + }, + { + "epoch": 0.48071400555691174, + "grad_norm": 0.056396484375, + "learning_rate": 0.0018708154802655607, + "loss": 1.1969, + "step": 5477 + }, + { + "epoch": 0.4808017751398142, + "grad_norm": 0.0712890625, + "learning_rate": 0.0018703970662532906, + "loss": 1.2354, + "step": 5478 + }, + { + "epoch": 0.48088954472271667, + "grad_norm": 0.064453125, + "learning_rate": 0.001869978630488702, + "loss": 1.2126, + "step": 5479 + }, + { + "epoch": 0.4809773143056192, + "grad_norm": 0.07666015625, + "learning_rate": 0.001869560173013093, + "loss": 1.2426, + "step": 5480 + }, + { + "epoch": 0.48106508388852165, + "grad_norm": 0.09423828125, + "learning_rate": 0.0018691416938677633, + "loss": 1.2718, + "step": 5481 + }, + { + "epoch": 0.48115285347142417, + "grad_norm": 0.057373046875, + "learning_rate": 0.0018687231930940163, + "loss": 1.2448, + "step": 5482 + }, + { + "epoch": 0.48124062305432663, + "grad_norm": 0.049072265625, + "learning_rate": 0.001868304670733155, + "loss": 1.2268, + "step": 5483 + }, + { + "epoch": 0.4813283926372291, + "grad_norm": 0.061279296875, + "learning_rate": 0.0018678861268264868, + "loss": 1.2446, + "step": 5484 + }, + { + "epoch": 0.4814161622201316, + "grad_norm": 0.07861328125, + "learning_rate": 0.0018674675614153199, + "loss": 1.2098, + "step": 5485 + }, + { + "epoch": 0.4815039318030341, + "grad_norm": 0.055419921875, + "learning_rate": 0.0018670489745409651, + "loss": 1.2223, + "step": 5486 + }, + { + "epoch": 0.48159170138593654, + "grad_norm": 0.062255859375, + "learning_rate": 0.001866630366244735, + "loss": 1.1832, + "step": 5487 + }, + { + "epoch": 0.48167947096883906, + "grad_norm": 0.11474609375, + "learning_rate": 0.0018662117365679455, + "loss": 1.2633, + "step": 5488 + }, + { + "epoch": 0.4817672405517415, + "grad_norm": 0.060791015625, + "learning_rate": 0.0018657930855519127, + "loss": 1.1947, + "step": 5489 + }, + { + "epoch": 0.48185501013464405, + "grad_norm": 0.09375, + "learning_rate": 0.0018653744132379566, + "loss": 1.2511, + "step": 5490 + }, + { + "epoch": 0.4819427797175465, + "grad_norm": 0.1259765625, + "learning_rate": 0.001864955719667398, + "loss": 1.1978, + "step": 5491 + }, + { + "epoch": 0.482030549300449, + "grad_norm": 0.1298828125, + "learning_rate": 0.00186453700488156, + "loss": 1.2001, + "step": 5492 + }, + { + "epoch": 0.4821183188833515, + "grad_norm": 0.12890625, + "learning_rate": 0.0018641182689217693, + "loss": 1.1614, + "step": 5493 + }, + { + "epoch": 0.48220608846625396, + "grad_norm": 0.0751953125, + "learning_rate": 0.0018636995118293518, + "loss": 1.2405, + "step": 5494 + }, + { + "epoch": 0.4822938580491565, + "grad_norm": 0.130859375, + "learning_rate": 0.0018632807336456385, + "loss": 1.1465, + "step": 5495 + }, + { + "epoch": 0.48238162763205894, + "grad_norm": 0.06494140625, + "learning_rate": 0.0018628619344119607, + "loss": 1.2387, + "step": 5496 + }, + { + "epoch": 0.4824693972149614, + "grad_norm": 0.09619140625, + "learning_rate": 0.0018624431141696521, + "loss": 1.1818, + "step": 5497 + }, + { + "epoch": 0.4825571667978639, + "grad_norm": 0.123046875, + "learning_rate": 0.001862024272960049, + "loss": 1.1972, + "step": 5498 + }, + { + "epoch": 0.4826449363807664, + "grad_norm": 0.051025390625, + "learning_rate": 0.0018616054108244883, + "loss": 1.2262, + "step": 5499 + }, + { + "epoch": 0.48273270596366885, + "grad_norm": 0.1044921875, + "learning_rate": 0.001861186527804312, + "loss": 1.222, + "step": 5500 + }, + { + "epoch": 0.48273270596366885, + "eval_loss": 1.1942256689071655, + "eval_runtime": 437.7379, + "eval_samples_per_second": 33.673, + "eval_steps_per_second": 8.418, + "step": 5500 + }, + { + "epoch": 0.48282047554657137, + "grad_norm": 0.06640625, + "learning_rate": 0.0018607676239408603, + "loss": 1.1929, + "step": 5501 + }, + { + "epoch": 0.48290824512947383, + "grad_norm": 0.07421875, + "learning_rate": 0.0018603486992754782, + "loss": 1.1682, + "step": 5502 + }, + { + "epoch": 0.48299601471237635, + "grad_norm": 0.09814453125, + "learning_rate": 0.0018599297538495116, + "loss": 1.1759, + "step": 5503 + }, + { + "epoch": 0.4830837842952788, + "grad_norm": 0.060791015625, + "learning_rate": 0.0018595107877043093, + "loss": 1.1654, + "step": 5504 + }, + { + "epoch": 0.4831715538781813, + "grad_norm": 0.11083984375, + "learning_rate": 0.001859091800881221, + "loss": 1.203, + "step": 5505 + }, + { + "epoch": 0.4832593234610838, + "grad_norm": 0.054931640625, + "learning_rate": 0.0018586727934215993, + "loss": 1.2621, + "step": 5506 + }, + { + "epoch": 0.48334709304398626, + "grad_norm": 0.0517578125, + "learning_rate": 0.0018582537653667988, + "loss": 1.1855, + "step": 5507 + }, + { + "epoch": 0.4834348626268888, + "grad_norm": 0.06396484375, + "learning_rate": 0.0018578347167581759, + "loss": 1.2118, + "step": 5508 + }, + { + "epoch": 0.48352263220979125, + "grad_norm": 0.05810546875, + "learning_rate": 0.0018574156476370877, + "loss": 1.2565, + "step": 5509 + }, + { + "epoch": 0.4836104017926937, + "grad_norm": 0.05078125, + "learning_rate": 0.0018569965580448968, + "loss": 1.1492, + "step": 5510 + }, + { + "epoch": 0.48369817137559623, + "grad_norm": 0.0732421875, + "learning_rate": 0.0018565774480229645, + "loss": 1.2336, + "step": 5511 + }, + { + "epoch": 0.4837859409584987, + "grad_norm": 0.052978515625, + "learning_rate": 0.0018561583176126555, + "loss": 1.1388, + "step": 5512 + }, + { + "epoch": 0.4838737105414012, + "grad_norm": 0.0791015625, + "learning_rate": 0.0018557391668553359, + "loss": 1.2848, + "step": 5513 + }, + { + "epoch": 0.4839614801243037, + "grad_norm": 0.07080078125, + "learning_rate": 0.0018553199957923748, + "loss": 1.2172, + "step": 5514 + }, + { + "epoch": 0.48404924970720614, + "grad_norm": 0.08251953125, + "learning_rate": 0.0018549008044651428, + "loss": 1.1855, + "step": 5515 + }, + { + "epoch": 0.48413701929010866, + "grad_norm": 0.099609375, + "learning_rate": 0.0018544815929150116, + "loss": 1.2761, + "step": 5516 + }, + { + "epoch": 0.4842247888730111, + "grad_norm": 0.06982421875, + "learning_rate": 0.001854062361183357, + "loss": 1.2249, + "step": 5517 + }, + { + "epoch": 0.4843125584559136, + "grad_norm": 0.1240234375, + "learning_rate": 0.0018536431093115543, + "loss": 1.2337, + "step": 5518 + }, + { + "epoch": 0.4844003280388161, + "grad_norm": 0.053466796875, + "learning_rate": 0.0018532238373409826, + "loss": 1.1951, + "step": 5519 + }, + { + "epoch": 0.48448809762171857, + "grad_norm": 0.1162109375, + "learning_rate": 0.0018528045453130222, + "loss": 1.2532, + "step": 5520 + }, + { + "epoch": 0.4845758672046211, + "grad_norm": 0.060546875, + "learning_rate": 0.0018523852332690556, + "loss": 1.2508, + "step": 5521 + }, + { + "epoch": 0.48466363678752356, + "grad_norm": 0.08642578125, + "learning_rate": 0.0018519659012504672, + "loss": 1.1902, + "step": 5522 + }, + { + "epoch": 0.484751406370426, + "grad_norm": 0.0791015625, + "learning_rate": 0.0018515465492986436, + "loss": 1.2847, + "step": 5523 + }, + { + "epoch": 0.48483917595332854, + "grad_norm": 0.09521484375, + "learning_rate": 0.0018511271774549732, + "loss": 1.1904, + "step": 5524 + }, + { + "epoch": 0.484926945536231, + "grad_norm": 0.07470703125, + "learning_rate": 0.0018507077857608464, + "loss": 1.1808, + "step": 5525 + }, + { + "epoch": 0.4850147151191335, + "grad_norm": 0.07080078125, + "learning_rate": 0.0018502883742576549, + "loss": 1.1845, + "step": 5526 + }, + { + "epoch": 0.485102484702036, + "grad_norm": 0.053466796875, + "learning_rate": 0.0018498689429867936, + "loss": 1.199, + "step": 5527 + }, + { + "epoch": 0.48519025428493845, + "grad_norm": 0.06982421875, + "learning_rate": 0.001849449491989658, + "loss": 1.1831, + "step": 5528 + }, + { + "epoch": 0.48527802386784097, + "grad_norm": 0.0712890625, + "learning_rate": 0.001849030021307647, + "loss": 1.1872, + "step": 5529 + }, + { + "epoch": 0.48536579345074343, + "grad_norm": 0.054443359375, + "learning_rate": 0.0018486105309821607, + "loss": 1.1897, + "step": 5530 + }, + { + "epoch": 0.4854535630336459, + "grad_norm": 0.06494140625, + "learning_rate": 0.0018481910210546005, + "loss": 1.1876, + "step": 5531 + }, + { + "epoch": 0.4855413326165484, + "grad_norm": 0.0537109375, + "learning_rate": 0.001847771491566371, + "loss": 1.2325, + "step": 5532 + }, + { + "epoch": 0.4856291021994509, + "grad_norm": 0.06640625, + "learning_rate": 0.0018473519425588779, + "loss": 1.2243, + "step": 5533 + }, + { + "epoch": 0.4857168717823534, + "grad_norm": 0.06689453125, + "learning_rate": 0.0018469323740735281, + "loss": 1.2145, + "step": 5534 + }, + { + "epoch": 0.48580464136525586, + "grad_norm": 0.056884765625, + "learning_rate": 0.0018465127861517331, + "loss": 1.2092, + "step": 5535 + }, + { + "epoch": 0.4858924109481583, + "grad_norm": 0.058349609375, + "learning_rate": 0.001846093178834903, + "loss": 1.2302, + "step": 5536 + }, + { + "epoch": 0.48598018053106085, + "grad_norm": 0.0703125, + "learning_rate": 0.001845673552164453, + "loss": 1.1447, + "step": 5537 + }, + { + "epoch": 0.4860679501139633, + "grad_norm": 0.051025390625, + "learning_rate": 0.001845253906181797, + "loss": 1.1813, + "step": 5538 + }, + { + "epoch": 0.48615571969686583, + "grad_norm": 0.09619140625, + "learning_rate": 0.001844834240928353, + "loss": 1.2512, + "step": 5539 + }, + { + "epoch": 0.4862434892797683, + "grad_norm": 0.052001953125, + "learning_rate": 0.0018444145564455404, + "loss": 1.2761, + "step": 5540 + }, + { + "epoch": 0.48633125886267076, + "grad_norm": 0.054931640625, + "learning_rate": 0.0018439948527747808, + "loss": 1.1943, + "step": 5541 + }, + { + "epoch": 0.4864190284455733, + "grad_norm": 0.057373046875, + "learning_rate": 0.001843575129957496, + "loss": 1.211, + "step": 5542 + }, + { + "epoch": 0.48650679802847574, + "grad_norm": 0.0771484375, + "learning_rate": 0.0018431553880351127, + "loss": 1.2018, + "step": 5543 + }, + { + "epoch": 0.4865945676113782, + "grad_norm": 0.06298828125, + "learning_rate": 0.0018427356270490558, + "loss": 1.1885, + "step": 5544 + }, + { + "epoch": 0.4866823371942807, + "grad_norm": 0.0732421875, + "learning_rate": 0.0018423158470407563, + "loss": 1.2539, + "step": 5545 + }, + { + "epoch": 0.4867701067771832, + "grad_norm": 0.055908203125, + "learning_rate": 0.0018418960480516427, + "loss": 1.2094, + "step": 5546 + }, + { + "epoch": 0.4868578763600857, + "grad_norm": 0.051513671875, + "learning_rate": 0.001841476230123149, + "loss": 1.1734, + "step": 5547 + }, + { + "epoch": 0.48694564594298817, + "grad_norm": 0.0634765625, + "learning_rate": 0.0018410563932967088, + "loss": 1.254, + "step": 5548 + }, + { + "epoch": 0.48703341552589063, + "grad_norm": 0.06494140625, + "learning_rate": 0.0018406365376137587, + "loss": 1.1996, + "step": 5549 + }, + { + "epoch": 0.48712118510879315, + "grad_norm": 0.07470703125, + "learning_rate": 0.0018402166631157364, + "loss": 1.2518, + "step": 5550 + }, + { + "epoch": 0.4872089546916956, + "grad_norm": 0.0771484375, + "learning_rate": 0.0018397967698440825, + "loss": 1.2485, + "step": 5551 + }, + { + "epoch": 0.48729672427459814, + "grad_norm": 0.07763671875, + "learning_rate": 0.001839376857840238, + "loss": 1.1921, + "step": 5552 + }, + { + "epoch": 0.4873844938575006, + "grad_norm": 0.058349609375, + "learning_rate": 0.0018389569271456477, + "loss": 1.2644, + "step": 5553 + }, + { + "epoch": 0.48747226344040306, + "grad_norm": 0.078125, + "learning_rate": 0.0018385369778017554, + "loss": 1.2777, + "step": 5554 + }, + { + "epoch": 0.4875600330233056, + "grad_norm": 0.0732421875, + "learning_rate": 0.00183811700985001, + "loss": 1.2682, + "step": 5555 + }, + { + "epoch": 0.48764780260620805, + "grad_norm": 0.053955078125, + "learning_rate": 0.0018376970233318596, + "loss": 1.1651, + "step": 5556 + }, + { + "epoch": 0.4877355721891105, + "grad_norm": 0.05126953125, + "learning_rate": 0.0018372770182887562, + "loss": 1.1804, + "step": 5557 + }, + { + "epoch": 0.48782334177201303, + "grad_norm": 0.056640625, + "learning_rate": 0.0018368569947621518, + "loss": 1.2092, + "step": 5558 + }, + { + "epoch": 0.4879111113549155, + "grad_norm": 0.059326171875, + "learning_rate": 0.0018364369527935015, + "loss": 1.1668, + "step": 5559 + }, + { + "epoch": 0.487998880937818, + "grad_norm": 0.06884765625, + "learning_rate": 0.0018360168924242614, + "loss": 1.2076, + "step": 5560 + }, + { + "epoch": 0.4880866505207205, + "grad_norm": 0.05517578125, + "learning_rate": 0.00183559681369589, + "loss": 1.2162, + "step": 5561 + }, + { + "epoch": 0.48817442010362294, + "grad_norm": 0.050048828125, + "learning_rate": 0.001835176716649848, + "loss": 1.1691, + "step": 5562 + }, + { + "epoch": 0.48826218968652546, + "grad_norm": 0.10791015625, + "learning_rate": 0.0018347566013275963, + "loss": 1.1655, + "step": 5563 + }, + { + "epoch": 0.4883499592694279, + "grad_norm": 0.054443359375, + "learning_rate": 0.0018343364677705994, + "loss": 1.2172, + "step": 5564 + }, + { + "epoch": 0.48843772885233044, + "grad_norm": 0.08642578125, + "learning_rate": 0.001833916316020322, + "loss": 1.1728, + "step": 5565 + }, + { + "epoch": 0.4885254984352329, + "grad_norm": 0.056640625, + "learning_rate": 0.001833496146118233, + "loss": 1.2448, + "step": 5566 + }, + { + "epoch": 0.48861326801813537, + "grad_norm": 0.06640625, + "learning_rate": 0.001833075958105799, + "loss": 1.2022, + "step": 5567 + }, + { + "epoch": 0.4887010376010379, + "grad_norm": 0.111328125, + "learning_rate": 0.0018326557520244933, + "loss": 1.2418, + "step": 5568 + }, + { + "epoch": 0.48878880718394035, + "grad_norm": 0.06982421875, + "learning_rate": 0.0018322355279157877, + "loss": 1.1884, + "step": 5569 + }, + { + "epoch": 0.4888765767668428, + "grad_norm": 0.047119140625, + "learning_rate": 0.001831815285821156, + "loss": 1.1542, + "step": 5570 + }, + { + "epoch": 0.48896434634974534, + "grad_norm": 0.08447265625, + "learning_rate": 0.0018313950257820752, + "loss": 1.2073, + "step": 5571 + }, + { + "epoch": 0.4890521159326478, + "grad_norm": 0.0810546875, + "learning_rate": 0.0018309747478400232, + "loss": 1.2873, + "step": 5572 + }, + { + "epoch": 0.4891398855155503, + "grad_norm": 0.07080078125, + "learning_rate": 0.0018305544520364797, + "loss": 1.1929, + "step": 5573 + }, + { + "epoch": 0.4892276550984528, + "grad_norm": 0.072265625, + "learning_rate": 0.0018301341384129258, + "loss": 1.2649, + "step": 5574 + }, + { + "epoch": 0.48931542468135525, + "grad_norm": 0.0654296875, + "learning_rate": 0.0018297138070108457, + "loss": 1.2054, + "step": 5575 + }, + { + "epoch": 0.48940319426425777, + "grad_norm": 0.0576171875, + "learning_rate": 0.0018292934578717239, + "loss": 1.2105, + "step": 5576 + }, + { + "epoch": 0.48949096384716023, + "grad_norm": 0.06787109375, + "learning_rate": 0.001828873091037047, + "loss": 1.1405, + "step": 5577 + }, + { + "epoch": 0.48957873343006275, + "grad_norm": 0.072265625, + "learning_rate": 0.001828452706548304, + "loss": 1.1334, + "step": 5578 + }, + { + "epoch": 0.4896665030129652, + "grad_norm": 0.058349609375, + "learning_rate": 0.0018280323044469846, + "loss": 1.242, + "step": 5579 + }, + { + "epoch": 0.4897542725958677, + "grad_norm": 0.06298828125, + "learning_rate": 0.0018276118847745813, + "loss": 1.1789, + "step": 5580 + }, + { + "epoch": 0.4898420421787702, + "grad_norm": 0.06591796875, + "learning_rate": 0.0018271914475725876, + "loss": 1.1727, + "step": 5581 + }, + { + "epoch": 0.48992981176167266, + "grad_norm": 0.056396484375, + "learning_rate": 0.0018267709928824997, + "loss": 1.2666, + "step": 5582 + }, + { + "epoch": 0.4900175813445752, + "grad_norm": 0.05615234375, + "learning_rate": 0.0018263505207458141, + "loss": 1.2665, + "step": 5583 + }, + { + "epoch": 0.49010535092747765, + "grad_norm": 0.057861328125, + "learning_rate": 0.00182593003120403, + "loss": 1.2434, + "step": 5584 + }, + { + "epoch": 0.4901931205103801, + "grad_norm": 0.0625, + "learning_rate": 0.0018255095242986471, + "loss": 1.3232, + "step": 5585 + }, + { + "epoch": 0.49028089009328263, + "grad_norm": 0.05712890625, + "learning_rate": 0.0018250890000711694, + "loss": 1.2335, + "step": 5586 + }, + { + "epoch": 0.4903686596761851, + "grad_norm": 0.049560546875, + "learning_rate": 0.0018246684585631002, + "loss": 1.2365, + "step": 5587 + }, + { + "epoch": 0.49045642925908756, + "grad_norm": 0.06591796875, + "learning_rate": 0.001824247899815945, + "loss": 1.2217, + "step": 5588 + }, + { + "epoch": 0.4905441988419901, + "grad_norm": 0.0732421875, + "learning_rate": 0.0018238273238712114, + "loss": 1.1816, + "step": 5589 + }, + { + "epoch": 0.49063196842489254, + "grad_norm": 0.08740234375, + "learning_rate": 0.001823406730770409, + "loss": 1.2392, + "step": 5590 + }, + { + "epoch": 0.49071973800779506, + "grad_norm": 0.051025390625, + "learning_rate": 0.0018229861205550481, + "loss": 1.205, + "step": 5591 + }, + { + "epoch": 0.4908075075906975, + "grad_norm": 0.1005859375, + "learning_rate": 0.001822565493266642, + "loss": 1.2635, + "step": 5592 + }, + { + "epoch": 0.4908952771736, + "grad_norm": 0.08203125, + "learning_rate": 0.0018221448489467043, + "loss": 1.2, + "step": 5593 + }, + { + "epoch": 0.4909830467565025, + "grad_norm": 0.1142578125, + "learning_rate": 0.0018217241876367514, + "loss": 1.179, + "step": 5594 + }, + { + "epoch": 0.49107081633940497, + "grad_norm": 0.080078125, + "learning_rate": 0.0018213035093783, + "loss": 1.1897, + "step": 5595 + }, + { + "epoch": 0.4911585859223075, + "grad_norm": 0.06396484375, + "learning_rate": 0.0018208828142128705, + "loss": 1.2188, + "step": 5596 + }, + { + "epoch": 0.49124635550520995, + "grad_norm": 0.09716796875, + "learning_rate": 0.0018204621021819833, + "loss": 1.2007, + "step": 5597 + }, + { + "epoch": 0.4913341250881124, + "grad_norm": 0.05322265625, + "learning_rate": 0.0018200413733271614, + "loss": 1.219, + "step": 5598 + }, + { + "epoch": 0.49142189467101494, + "grad_norm": 0.0615234375, + "learning_rate": 0.0018196206276899283, + "loss": 1.1905, + "step": 5599 + }, + { + "epoch": 0.4915096642539174, + "grad_norm": 0.05859375, + "learning_rate": 0.001819199865311811, + "loss": 1.1581, + "step": 5600 + }, + { + "epoch": 0.49159743383681986, + "grad_norm": 0.06640625, + "learning_rate": 0.001818779086234336, + "loss": 1.1665, + "step": 5601 + }, + { + "epoch": 0.4916852034197224, + "grad_norm": 0.08203125, + "learning_rate": 0.0018183582904990332, + "loss": 1.186, + "step": 5602 + }, + { + "epoch": 0.49177297300262485, + "grad_norm": 0.080078125, + "learning_rate": 0.0018179374781474328, + "loss": 1.227, + "step": 5603 + }, + { + "epoch": 0.49186074258552737, + "grad_norm": 0.1337890625, + "learning_rate": 0.0018175166492210688, + "loss": 1.2059, + "step": 5604 + }, + { + "epoch": 0.49194851216842983, + "grad_norm": 0.0966796875, + "learning_rate": 0.001817095803761473, + "loss": 1.1909, + "step": 5605 + }, + { + "epoch": 0.4920362817513323, + "grad_norm": 0.11474609375, + "learning_rate": 0.0018166749418101838, + "loss": 1.1545, + "step": 5606 + }, + { + "epoch": 0.4921240513342348, + "grad_norm": 0.10107421875, + "learning_rate": 0.0018162540634087366, + "loss": 1.1572, + "step": 5607 + }, + { + "epoch": 0.4922118209171373, + "grad_norm": 0.064453125, + "learning_rate": 0.001815833168598672, + "loss": 1.2136, + "step": 5608 + }, + { + "epoch": 0.4922995905000398, + "grad_norm": 0.1611328125, + "learning_rate": 0.0018154122574215287, + "loss": 1.2015, + "step": 5609 + }, + { + "epoch": 0.49238736008294226, + "grad_norm": 0.05712890625, + "learning_rate": 0.0018149913299188507, + "loss": 1.2142, + "step": 5610 + }, + { + "epoch": 0.4924751296658447, + "grad_norm": 0.11865234375, + "learning_rate": 0.001814570386132181, + "loss": 1.2344, + "step": 5611 + }, + { + "epoch": 0.49256289924874724, + "grad_norm": 0.0859375, + "learning_rate": 0.0018141494261030662, + "loss": 1.1704, + "step": 5612 + }, + { + "epoch": 0.4926506688316497, + "grad_norm": 0.061279296875, + "learning_rate": 0.001813728449873052, + "loss": 1.2038, + "step": 5613 + }, + { + "epoch": 0.49273843841455217, + "grad_norm": 0.1142578125, + "learning_rate": 0.0018133074574836873, + "loss": 1.2406, + "step": 5614 + }, + { + "epoch": 0.4928262079974547, + "grad_norm": 0.0712890625, + "learning_rate": 0.001812886448976523, + "loss": 1.2321, + "step": 5615 + }, + { + "epoch": 0.49291397758035715, + "grad_norm": 0.0625, + "learning_rate": 0.0018124654243931106, + "loss": 1.1943, + "step": 5616 + }, + { + "epoch": 0.4930017471632597, + "grad_norm": 0.07470703125, + "learning_rate": 0.0018120443837750038, + "loss": 1.2525, + "step": 5617 + }, + { + "epoch": 0.49308951674616214, + "grad_norm": 0.07275390625, + "learning_rate": 0.0018116233271637573, + "loss": 1.2237, + "step": 5618 + }, + { + "epoch": 0.4931772863290646, + "grad_norm": 0.08642578125, + "learning_rate": 0.001811202254600928, + "loss": 1.2018, + "step": 5619 + }, + { + "epoch": 0.4932650559119671, + "grad_norm": 0.0537109375, + "learning_rate": 0.0018107811661280744, + "loss": 1.203, + "step": 5620 + }, + { + "epoch": 0.4933528254948696, + "grad_norm": 0.055908203125, + "learning_rate": 0.0018103600617867552, + "loss": 1.298, + "step": 5621 + }, + { + "epoch": 0.4934405950777721, + "grad_norm": 0.055908203125, + "learning_rate": 0.001809938941618533, + "loss": 1.2694, + "step": 5622 + }, + { + "epoch": 0.49352836466067457, + "grad_norm": 0.064453125, + "learning_rate": 0.0018095178056649701, + "loss": 1.1948, + "step": 5623 + }, + { + "epoch": 0.49361613424357703, + "grad_norm": 0.052978515625, + "learning_rate": 0.0018090966539676305, + "loss": 1.2694, + "step": 5624 + }, + { + "epoch": 0.49370390382647955, + "grad_norm": 0.059326171875, + "learning_rate": 0.001808675486568081, + "loss": 1.1812, + "step": 5625 + }, + { + "epoch": 0.493791673409382, + "grad_norm": 0.060302734375, + "learning_rate": 0.0018082543035078888, + "loss": 1.1932, + "step": 5626 + }, + { + "epoch": 0.4938794429922845, + "grad_norm": 0.059326171875, + "learning_rate": 0.0018078331048286232, + "loss": 1.1834, + "step": 5627 + }, + { + "epoch": 0.493967212575187, + "grad_norm": 0.068359375, + "learning_rate": 0.001807411890571854, + "loss": 1.1792, + "step": 5628 + }, + { + "epoch": 0.49405498215808946, + "grad_norm": 0.054931640625, + "learning_rate": 0.0018069906607791548, + "loss": 1.2386, + "step": 5629 + }, + { + "epoch": 0.494142751740992, + "grad_norm": 0.0732421875, + "learning_rate": 0.001806569415492098, + "loss": 1.143, + "step": 5630 + }, + { + "epoch": 0.49423052132389445, + "grad_norm": 0.05224609375, + "learning_rate": 0.0018061481547522597, + "loss": 1.1354, + "step": 5631 + }, + { + "epoch": 0.4943182909067969, + "grad_norm": 0.05615234375, + "learning_rate": 0.001805726878601216, + "loss": 1.1726, + "step": 5632 + }, + { + "epoch": 0.49440606048969943, + "grad_norm": 0.08349609375, + "learning_rate": 0.0018053055870805462, + "loss": 1.1775, + "step": 5633 + }, + { + "epoch": 0.4944938300726019, + "grad_norm": 0.0615234375, + "learning_rate": 0.001804884280231829, + "loss": 1.2527, + "step": 5634 + }, + { + "epoch": 0.4945815996555044, + "grad_norm": 0.061279296875, + "learning_rate": 0.0018044629580966465, + "loss": 1.2377, + "step": 5635 + }, + { + "epoch": 0.4946693692384069, + "grad_norm": 0.0791015625, + "learning_rate": 0.0018040416207165812, + "loss": 1.2285, + "step": 5636 + }, + { + "epoch": 0.49475713882130934, + "grad_norm": 0.05517578125, + "learning_rate": 0.001803620268133217, + "loss": 1.1732, + "step": 5637 + }, + { + "epoch": 0.49484490840421186, + "grad_norm": 0.1025390625, + "learning_rate": 0.0018031989003881403, + "loss": 1.2191, + "step": 5638 + }, + { + "epoch": 0.4949326779871143, + "grad_norm": 0.060302734375, + "learning_rate": 0.001802777517522939, + "loss": 1.1822, + "step": 5639 + }, + { + "epoch": 0.4950204475700168, + "grad_norm": 0.10791015625, + "learning_rate": 0.0018023561195792, + "loss": 1.2544, + "step": 5640 + }, + { + "epoch": 0.4951082171529193, + "grad_norm": 0.059814453125, + "learning_rate": 0.0018019347065985163, + "loss": 1.1761, + "step": 5641 + }, + { + "epoch": 0.49519598673582177, + "grad_norm": 0.057861328125, + "learning_rate": 0.0018015132786224771, + "loss": 1.21, + "step": 5642 + }, + { + "epoch": 0.4952837563187243, + "grad_norm": 0.0712890625, + "learning_rate": 0.0018010918356926773, + "loss": 1.2362, + "step": 5643 + }, + { + "epoch": 0.49537152590162675, + "grad_norm": 0.05322265625, + "learning_rate": 0.001800670377850711, + "loss": 1.1938, + "step": 5644 + }, + { + "epoch": 0.4954592954845292, + "grad_norm": 0.056396484375, + "learning_rate": 0.0018002489051381747, + "loss": 1.1805, + "step": 5645 + }, + { + "epoch": 0.49554706506743174, + "grad_norm": 0.06396484375, + "learning_rate": 0.0017998274175966657, + "loss": 1.1504, + "step": 5646 + }, + { + "epoch": 0.4956348346503342, + "grad_norm": 0.0634765625, + "learning_rate": 0.0017994059152677839, + "loss": 1.2099, + "step": 5647 + }, + { + "epoch": 0.4957226042332367, + "grad_norm": 0.061279296875, + "learning_rate": 0.001798984398193129, + "loss": 1.1844, + "step": 5648 + }, + { + "epoch": 0.4958103738161392, + "grad_norm": 0.058837890625, + "learning_rate": 0.0017985628664143039, + "loss": 1.1532, + "step": 5649 + }, + { + "epoch": 0.49589814339904165, + "grad_norm": 0.0771484375, + "learning_rate": 0.001798141319972911, + "loss": 1.1587, + "step": 5650 + }, + { + "epoch": 0.49598591298194417, + "grad_norm": 0.056640625, + "learning_rate": 0.0017977197589105567, + "loss": 1.2439, + "step": 5651 + }, + { + "epoch": 0.49607368256484663, + "grad_norm": 0.078125, + "learning_rate": 0.0017972981832688462, + "loss": 1.2248, + "step": 5652 + }, + { + "epoch": 0.49616145214774915, + "grad_norm": 0.08984375, + "learning_rate": 0.0017968765930893886, + "loss": 1.203, + "step": 5653 + }, + { + "epoch": 0.4962492217306516, + "grad_norm": 0.06005859375, + "learning_rate": 0.0017964549884137916, + "loss": 1.2302, + "step": 5654 + }, + { + "epoch": 0.4963369913135541, + "grad_norm": 0.11181640625, + "learning_rate": 0.0017960333692836673, + "loss": 1.164, + "step": 5655 + }, + { + "epoch": 0.4964247608964566, + "grad_norm": 0.05517578125, + "learning_rate": 0.0017956117357406268, + "loss": 1.2269, + "step": 5656 + }, + { + "epoch": 0.49651253047935906, + "grad_norm": 0.1123046875, + "learning_rate": 0.0017951900878262843, + "loss": 1.187, + "step": 5657 + }, + { + "epoch": 0.4966003000622615, + "grad_norm": 0.06689453125, + "learning_rate": 0.0017947684255822547, + "loss": 1.2321, + "step": 5658 + }, + { + "epoch": 0.49668806964516404, + "grad_norm": 0.109375, + "learning_rate": 0.0017943467490501546, + "loss": 1.1806, + "step": 5659 + }, + { + "epoch": 0.4967758392280665, + "grad_norm": 0.083984375, + "learning_rate": 0.0017939250582716011, + "loss": 1.1994, + "step": 5660 + }, + { + "epoch": 0.496863608810969, + "grad_norm": 0.0537109375, + "learning_rate": 0.001793503353288214, + "loss": 1.1956, + "step": 5661 + }, + { + "epoch": 0.4969513783938715, + "grad_norm": 0.15234375, + "learning_rate": 0.0017930816341416133, + "loss": 1.1875, + "step": 5662 + }, + { + "epoch": 0.49703914797677395, + "grad_norm": 0.0595703125, + "learning_rate": 0.0017926599008734221, + "loss": 1.2347, + "step": 5663 + }, + { + "epoch": 0.4971269175596765, + "grad_norm": 0.09765625, + "learning_rate": 0.001792238153525263, + "loss": 1.1824, + "step": 5664 + }, + { + "epoch": 0.49721468714257894, + "grad_norm": 0.0859375, + "learning_rate": 0.0017918163921387608, + "loss": 1.1112, + "step": 5665 + }, + { + "epoch": 0.49730245672548146, + "grad_norm": 0.06591796875, + "learning_rate": 0.0017913946167555418, + "loss": 1.2064, + "step": 5666 + }, + { + "epoch": 0.4973902263083839, + "grad_norm": 0.08544921875, + "learning_rate": 0.0017909728274172337, + "loss": 1.1959, + "step": 5667 + }, + { + "epoch": 0.4974779958912864, + "grad_norm": 0.07958984375, + "learning_rate": 0.0017905510241654659, + "loss": 1.1864, + "step": 5668 + }, + { + "epoch": 0.4975657654741889, + "grad_norm": 0.0703125, + "learning_rate": 0.001790129207041867, + "loss": 1.1571, + "step": 5669 + }, + { + "epoch": 0.49765353505709137, + "grad_norm": 0.12158203125, + "learning_rate": 0.0017897073760880704, + "loss": 1.195, + "step": 5670 + }, + { + "epoch": 0.49774130463999383, + "grad_norm": 0.0654296875, + "learning_rate": 0.0017892855313457086, + "loss": 1.1986, + "step": 5671 + }, + { + "epoch": 0.49782907422289635, + "grad_norm": 0.06982421875, + "learning_rate": 0.0017888636728564163, + "loss": 1.2116, + "step": 5672 + }, + { + "epoch": 0.4979168438057988, + "grad_norm": 0.0859375, + "learning_rate": 0.0017884418006618285, + "loss": 1.1817, + "step": 5673 + }, + { + "epoch": 0.49800461338870133, + "grad_norm": 0.08447265625, + "learning_rate": 0.0017880199148035832, + "loss": 1.1766, + "step": 5674 + }, + { + "epoch": 0.4980923829716038, + "grad_norm": 0.076171875, + "learning_rate": 0.0017875980153233178, + "loss": 1.2124, + "step": 5675 + }, + { + "epoch": 0.49818015255450626, + "grad_norm": 0.07666015625, + "learning_rate": 0.001787176102262673, + "loss": 1.2151, + "step": 5676 + }, + { + "epoch": 0.4982679221374088, + "grad_norm": 0.05322265625, + "learning_rate": 0.0017867541756632897, + "loss": 1.2607, + "step": 5677 + }, + { + "epoch": 0.49835569172031124, + "grad_norm": 0.07958984375, + "learning_rate": 0.0017863322355668103, + "loss": 1.2518, + "step": 5678 + }, + { + "epoch": 0.49844346130321376, + "grad_norm": 0.059326171875, + "learning_rate": 0.001785910282014879, + "loss": 1.2316, + "step": 5679 + }, + { + "epoch": 0.49853123088611623, + "grad_norm": 0.055908203125, + "learning_rate": 0.00178548831504914, + "loss": 1.1818, + "step": 5680 + }, + { + "epoch": 0.4986190004690187, + "grad_norm": 0.06298828125, + "learning_rate": 0.001785066334711241, + "loss": 1.2757, + "step": 5681 + }, + { + "epoch": 0.4987067700519212, + "grad_norm": 0.0849609375, + "learning_rate": 0.0017846443410428291, + "loss": 1.2275, + "step": 5682 + }, + { + "epoch": 0.4987945396348237, + "grad_norm": 0.08056640625, + "learning_rate": 0.0017842223340855533, + "loss": 1.2493, + "step": 5683 + }, + { + "epoch": 0.49888230921772614, + "grad_norm": 0.08984375, + "learning_rate": 0.0017838003138810645, + "loss": 1.1619, + "step": 5684 + }, + { + "epoch": 0.49897007880062866, + "grad_norm": 0.058837890625, + "learning_rate": 0.0017833782804710138, + "loss": 1.2084, + "step": 5685 + }, + { + "epoch": 0.4990578483835311, + "grad_norm": 0.0673828125, + "learning_rate": 0.0017829562338970548, + "loss": 1.1847, + "step": 5686 + }, + { + "epoch": 0.49914561796643364, + "grad_norm": 0.111328125, + "learning_rate": 0.0017825341742008414, + "loss": 1.2249, + "step": 5687 + }, + { + "epoch": 0.4992333875493361, + "grad_norm": 0.051513671875, + "learning_rate": 0.0017821121014240297, + "loss": 1.1999, + "step": 5688 + }, + { + "epoch": 0.49932115713223857, + "grad_norm": 0.09375, + "learning_rate": 0.0017816900156082762, + "loss": 1.1534, + "step": 5689 + }, + { + "epoch": 0.4994089267151411, + "grad_norm": 0.057373046875, + "learning_rate": 0.0017812679167952396, + "loss": 1.2024, + "step": 5690 + }, + { + "epoch": 0.49949669629804355, + "grad_norm": 0.058349609375, + "learning_rate": 0.001780845805026578, + "loss": 1.262, + "step": 5691 + }, + { + "epoch": 0.49958446588094607, + "grad_norm": 0.05859375, + "learning_rate": 0.0017804236803439539, + "loss": 1.2104, + "step": 5692 + }, + { + "epoch": 0.49967223546384854, + "grad_norm": 0.08251953125, + "learning_rate": 0.0017800015427890288, + "loss": 1.2089, + "step": 5693 + }, + { + "epoch": 0.499760005046751, + "grad_norm": 0.07421875, + "learning_rate": 0.0017795793924034657, + "loss": 1.2167, + "step": 5694 + }, + { + "epoch": 0.4998477746296535, + "grad_norm": 0.0771484375, + "learning_rate": 0.001779157229228929, + "loss": 1.2103, + "step": 5695 + }, + { + "epoch": 0.499935544212556, + "grad_norm": 0.0654296875, + "learning_rate": 0.0017787350533070847, + "loss": 1.199, + "step": 5696 + }, + { + "epoch": 0.5000233137954585, + "grad_norm": 0.0703125, + "learning_rate": 0.0017783128646796003, + "loss": 1.2887, + "step": 5697 + }, + { + "epoch": 0.500111083378361, + "grad_norm": 0.0810546875, + "learning_rate": 0.0017778906633881442, + "loss": 1.1894, + "step": 5698 + }, + { + "epoch": 0.5001988529612634, + "grad_norm": 0.08447265625, + "learning_rate": 0.001777468449474385, + "loss": 1.2447, + "step": 5699 + }, + { + "epoch": 0.5002866225441659, + "grad_norm": 0.0595703125, + "learning_rate": 0.0017770462229799947, + "loss": 1.2667, + "step": 5700 + }, + { + "epoch": 0.5003743921270685, + "grad_norm": 0.07373046875, + "learning_rate": 0.0017766239839466442, + "loss": 1.1714, + "step": 5701 + }, + { + "epoch": 0.5004621617099709, + "grad_norm": 0.06396484375, + "learning_rate": 0.0017762017324160083, + "loss": 1.1284, + "step": 5702 + }, + { + "epoch": 0.5005499312928734, + "grad_norm": 0.07666015625, + "learning_rate": 0.0017757794684297604, + "loss": 1.2012, + "step": 5703 + }, + { + "epoch": 0.5006377008757759, + "grad_norm": 0.052978515625, + "learning_rate": 0.0017753571920295767, + "loss": 1.1714, + "step": 5704 + }, + { + "epoch": 0.5007254704586783, + "grad_norm": 0.051513671875, + "learning_rate": 0.0017749349032571342, + "loss": 1.1888, + "step": 5705 + }, + { + "epoch": 0.5008132400415808, + "grad_norm": 0.05615234375, + "learning_rate": 0.001774512602154111, + "loss": 1.2332, + "step": 5706 + }, + { + "epoch": 0.5009010096244834, + "grad_norm": 0.0634765625, + "learning_rate": 0.0017740902887621866, + "loss": 1.1619, + "step": 5707 + }, + { + "epoch": 0.5009887792073858, + "grad_norm": 0.068359375, + "learning_rate": 0.0017736679631230419, + "loss": 1.1973, + "step": 5708 + }, + { + "epoch": 0.5010765487902883, + "grad_norm": 0.07080078125, + "learning_rate": 0.0017732456252783587, + "loss": 1.2145, + "step": 5709 + }, + { + "epoch": 0.5011643183731908, + "grad_norm": 0.06689453125, + "learning_rate": 0.0017728232752698197, + "loss": 1.2164, + "step": 5710 + }, + { + "epoch": 0.5012520879560932, + "grad_norm": 0.06689453125, + "learning_rate": 0.0017724009131391094, + "loss": 1.1637, + "step": 5711 + }, + { + "epoch": 0.5013398575389958, + "grad_norm": 0.091796875, + "learning_rate": 0.001771978538927913, + "loss": 1.2159, + "step": 5712 + }, + { + "epoch": 0.5014276271218983, + "grad_norm": 0.06298828125, + "learning_rate": 0.0017715561526779184, + "loss": 1.2481, + "step": 5713 + }, + { + "epoch": 0.5015153967048007, + "grad_norm": 0.1337890625, + "learning_rate": 0.0017711337544308113, + "loss": 1.1586, + "step": 5714 + }, + { + "epoch": 0.5016031662877032, + "grad_norm": 0.06298828125, + "learning_rate": 0.0017707113442282827, + "loss": 1.1608, + "step": 5715 + }, + { + "epoch": 0.5016909358706056, + "grad_norm": 0.1279296875, + "learning_rate": 0.0017702889221120216, + "loss": 1.2293, + "step": 5716 + }, + { + "epoch": 0.5017787054535082, + "grad_norm": 0.08740234375, + "learning_rate": 0.0017698664881237206, + "loss": 1.1586, + "step": 5717 + }, + { + "epoch": 0.5018664750364107, + "grad_norm": 0.0771484375, + "learning_rate": 0.001769444042305071, + "loss": 1.2277, + "step": 5718 + }, + { + "epoch": 0.5019542446193132, + "grad_norm": 0.0830078125, + "learning_rate": 0.0017690215846977672, + "loss": 1.1611, + "step": 5719 + }, + { + "epoch": 0.5020420142022156, + "grad_norm": 0.06005859375, + "learning_rate": 0.0017685991153435037, + "loss": 1.1954, + "step": 5720 + }, + { + "epoch": 0.5021297837851181, + "grad_norm": 0.0703125, + "learning_rate": 0.001768176634283977, + "loss": 1.1809, + "step": 5721 + }, + { + "epoch": 0.5022175533680207, + "grad_norm": 0.06689453125, + "learning_rate": 0.0017677541415608837, + "loss": 1.1718, + "step": 5722 + }, + { + "epoch": 0.5023053229509231, + "grad_norm": 0.10107421875, + "learning_rate": 0.0017673316372159228, + "loss": 1.2601, + "step": 5723 + }, + { + "epoch": 0.5023930925338256, + "grad_norm": 0.10595703125, + "learning_rate": 0.0017669091212907937, + "loss": 1.2421, + "step": 5724 + }, + { + "epoch": 0.502480862116728, + "grad_norm": 0.0634765625, + "learning_rate": 0.0017664865938271969, + "loss": 1.1621, + "step": 5725 + }, + { + "epoch": 0.5025686316996305, + "grad_norm": 0.11767578125, + "learning_rate": 0.001766064054866834, + "loss": 1.219, + "step": 5726 + }, + { + "epoch": 0.5026564012825331, + "grad_norm": 0.056884765625, + "learning_rate": 0.0017656415044514082, + "loss": 1.2024, + "step": 5727 + }, + { + "epoch": 0.5027441708654355, + "grad_norm": 0.0693359375, + "learning_rate": 0.0017652189426226237, + "loss": 1.1683, + "step": 5728 + }, + { + "epoch": 0.502831940448338, + "grad_norm": 0.062255859375, + "learning_rate": 0.0017647963694221852, + "loss": 1.1589, + "step": 5729 + }, + { + "epoch": 0.5029197100312405, + "grad_norm": 0.056640625, + "learning_rate": 0.0017643737848917994, + "loss": 1.1823, + "step": 5730 + }, + { + "epoch": 0.5030074796141429, + "grad_norm": 0.053955078125, + "learning_rate": 0.0017639511890731735, + "loss": 1.2139, + "step": 5731 + }, + { + "epoch": 0.5030952491970454, + "grad_norm": 0.055419921875, + "learning_rate": 0.001763528582008016, + "loss": 1.2255, + "step": 5732 + }, + { + "epoch": 0.503183018779948, + "grad_norm": 0.06494140625, + "learning_rate": 0.0017631059637380367, + "loss": 1.1533, + "step": 5733 + }, + { + "epoch": 0.5032707883628504, + "grad_norm": 0.0634765625, + "learning_rate": 0.0017626833343049467, + "loss": 1.18, + "step": 5734 + }, + { + "epoch": 0.5033585579457529, + "grad_norm": 0.0673828125, + "learning_rate": 0.0017622606937504576, + "loss": 1.2632, + "step": 5735 + }, + { + "epoch": 0.5034463275286554, + "grad_norm": 0.052734375, + "learning_rate": 0.0017618380421162813, + "loss": 1.1955, + "step": 5736 + }, + { + "epoch": 0.5035340971115578, + "grad_norm": 0.057861328125, + "learning_rate": 0.0017614153794441333, + "loss": 1.1604, + "step": 5737 + }, + { + "epoch": 0.5036218666944604, + "grad_norm": 0.059814453125, + "learning_rate": 0.0017609927057757283, + "loss": 1.2527, + "step": 5738 + }, + { + "epoch": 0.5037096362773629, + "grad_norm": 0.06298828125, + "learning_rate": 0.0017605700211527826, + "loss": 1.202, + "step": 5739 + }, + { + "epoch": 0.5037974058602653, + "grad_norm": 0.061767578125, + "learning_rate": 0.001760147325617013, + "loss": 1.1991, + "step": 5740 + }, + { + "epoch": 0.5038851754431678, + "grad_norm": 0.0693359375, + "learning_rate": 0.0017597246192101379, + "loss": 1.1496, + "step": 5741 + }, + { + "epoch": 0.5039729450260703, + "grad_norm": 0.05224609375, + "learning_rate": 0.0017593019019738775, + "loss": 1.2368, + "step": 5742 + }, + { + "epoch": 0.5040607146089728, + "grad_norm": 0.0830078125, + "learning_rate": 0.001758879173949952, + "loss": 1.2158, + "step": 5743 + }, + { + "epoch": 0.5041484841918753, + "grad_norm": 0.0556640625, + "learning_rate": 0.0017584564351800823, + "loss": 1.2131, + "step": 5744 + }, + { + "epoch": 0.5042362537747778, + "grad_norm": 0.07373046875, + "learning_rate": 0.0017580336857059922, + "loss": 1.1716, + "step": 5745 + }, + { + "epoch": 0.5043240233576802, + "grad_norm": 0.06494140625, + "learning_rate": 0.0017576109255694038, + "loss": 1.218, + "step": 5746 + }, + { + "epoch": 0.5044117929405827, + "grad_norm": 0.06884765625, + "learning_rate": 0.0017571881548120438, + "loss": 1.1704, + "step": 5747 + }, + { + "epoch": 0.5044995625234853, + "grad_norm": 0.095703125, + "learning_rate": 0.0017567653734756367, + "loss": 1.1634, + "step": 5748 + }, + { + "epoch": 0.5045873321063877, + "grad_norm": 0.052490234375, + "learning_rate": 0.00175634258160191, + "loss": 1.2068, + "step": 5749 + }, + { + "epoch": 0.5046751016892902, + "grad_norm": 0.103515625, + "learning_rate": 0.0017559197792325909, + "loss": 1.2329, + "step": 5750 + }, + { + "epoch": 0.5047628712721927, + "grad_norm": 0.1298828125, + "learning_rate": 0.0017554969664094087, + "loss": 1.2032, + "step": 5751 + }, + { + "epoch": 0.5048506408550951, + "grad_norm": 0.1015625, + "learning_rate": 0.0017550741431740932, + "loss": 1.1963, + "step": 5752 + }, + { + "epoch": 0.5049384104379977, + "grad_norm": 0.15625, + "learning_rate": 0.001754651309568376, + "loss": 1.2047, + "step": 5753 + }, + { + "epoch": 0.5050261800209002, + "grad_norm": 0.05126953125, + "learning_rate": 0.0017542284656339882, + "loss": 1.2416, + "step": 5754 + }, + { + "epoch": 0.5051139496038026, + "grad_norm": 0.138671875, + "learning_rate": 0.001753805611412664, + "loss": 1.1802, + "step": 5755 + }, + { + "epoch": 0.5052017191867051, + "grad_norm": 0.09912109375, + "learning_rate": 0.001753382746946136, + "loss": 1.1666, + "step": 5756 + }, + { + "epoch": 0.5052894887696076, + "grad_norm": 0.0673828125, + "learning_rate": 0.0017529598722761397, + "loss": 1.1399, + "step": 5757 + }, + { + "epoch": 0.5053772583525101, + "grad_norm": 0.11962890625, + "learning_rate": 0.001752536987444412, + "loss": 1.1521, + "step": 5758 + }, + { + "epoch": 0.5054650279354126, + "grad_norm": 0.11572265625, + "learning_rate": 0.0017521140924926894, + "loss": 1.2258, + "step": 5759 + }, + { + "epoch": 0.5055527975183151, + "grad_norm": 0.126953125, + "learning_rate": 0.0017516911874627093, + "loss": 1.238, + "step": 5760 + }, + { + "epoch": 0.5056405671012175, + "grad_norm": 0.12890625, + "learning_rate": 0.0017512682723962115, + "loss": 1.1735, + "step": 5761 + }, + { + "epoch": 0.50572833668412, + "grad_norm": 0.05517578125, + "learning_rate": 0.0017508453473349364, + "loss": 1.2454, + "step": 5762 + }, + { + "epoch": 0.5058161062670224, + "grad_norm": 0.15625, + "learning_rate": 0.0017504224123206244, + "loss": 1.1982, + "step": 5763 + }, + { + "epoch": 0.505903875849925, + "grad_norm": 0.09033203125, + "learning_rate": 0.0017499994673950178, + "loss": 1.1627, + "step": 5764 + }, + { + "epoch": 0.5059916454328275, + "grad_norm": 0.07373046875, + "learning_rate": 0.0017495765125998587, + "loss": 1.1383, + "step": 5765 + }, + { + "epoch": 0.50607941501573, + "grad_norm": 0.10205078125, + "learning_rate": 0.0017491535479768922, + "loss": 1.1676, + "step": 5766 + }, + { + "epoch": 0.5061671845986324, + "grad_norm": 0.0751953125, + "learning_rate": 0.0017487305735678631, + "loss": 1.1698, + "step": 5767 + }, + { + "epoch": 0.5062549541815349, + "grad_norm": 0.06689453125, + "learning_rate": 0.001748307589414517, + "loss": 1.2544, + "step": 5768 + }, + { + "epoch": 0.5063427237644375, + "grad_norm": 0.12060546875, + "learning_rate": 0.0017478845955586006, + "loss": 1.1818, + "step": 5769 + }, + { + "epoch": 0.5064304933473399, + "grad_norm": 0.053955078125, + "learning_rate": 0.0017474615920418622, + "loss": 1.2482, + "step": 5770 + }, + { + "epoch": 0.5065182629302424, + "grad_norm": 0.083984375, + "learning_rate": 0.0017470385789060496, + "loss": 1.2053, + "step": 5771 + }, + { + "epoch": 0.5066060325131448, + "grad_norm": 0.07275390625, + "learning_rate": 0.001746615556192914, + "loss": 1.1992, + "step": 5772 + }, + { + "epoch": 0.5066938020960473, + "grad_norm": 0.05322265625, + "learning_rate": 0.0017461925239442052, + "loss": 1.2513, + "step": 5773 + }, + { + "epoch": 0.5067815716789499, + "grad_norm": 0.1171875, + "learning_rate": 0.001745769482201675, + "loss": 1.193, + "step": 5774 + }, + { + "epoch": 0.5068693412618523, + "grad_norm": 0.07421875, + "learning_rate": 0.0017453464310070751, + "loss": 1.2152, + "step": 5775 + }, + { + "epoch": 0.5069571108447548, + "grad_norm": 0.08203125, + "learning_rate": 0.0017449233704021606, + "loss": 1.2397, + "step": 5776 + }, + { + "epoch": 0.5070448804276573, + "grad_norm": 0.107421875, + "learning_rate": 0.0017445003004286843, + "loss": 1.2336, + "step": 5777 + }, + { + "epoch": 0.5071326500105597, + "grad_norm": 0.061279296875, + "learning_rate": 0.0017440772211284028, + "loss": 1.2288, + "step": 5778 + }, + { + "epoch": 0.5072204195934623, + "grad_norm": 0.0751953125, + "learning_rate": 0.0017436541325430717, + "loss": 1.2062, + "step": 5779 + }, + { + "epoch": 0.5073081891763648, + "grad_norm": 0.07666015625, + "learning_rate": 0.0017432310347144481, + "loss": 1.2069, + "step": 5780 + }, + { + "epoch": 0.5073959587592672, + "grad_norm": 0.05322265625, + "learning_rate": 0.00174280792768429, + "loss": 1.2542, + "step": 5781 + }, + { + "epoch": 0.5074837283421697, + "grad_norm": 0.0634765625, + "learning_rate": 0.0017423848114943574, + "loss": 1.2265, + "step": 5782 + }, + { + "epoch": 0.5075714979250722, + "grad_norm": 0.0771484375, + "learning_rate": 0.001741961686186409, + "loss": 1.2078, + "step": 5783 + }, + { + "epoch": 0.5076592675079747, + "grad_norm": 0.054443359375, + "learning_rate": 0.0017415385518022063, + "loss": 1.1871, + "step": 5784 + }, + { + "epoch": 0.5077470370908772, + "grad_norm": 0.07080078125, + "learning_rate": 0.0017411154083835105, + "loss": 1.2536, + "step": 5785 + }, + { + "epoch": 0.5078348066737797, + "grad_norm": 0.05712890625, + "learning_rate": 0.0017406922559720845, + "loss": 1.2, + "step": 5786 + }, + { + "epoch": 0.5079225762566821, + "grad_norm": 0.05029296875, + "learning_rate": 0.0017402690946096916, + "loss": 1.1885, + "step": 5787 + }, + { + "epoch": 0.5080103458395846, + "grad_norm": 0.07666015625, + "learning_rate": 0.0017398459243380966, + "loss": 1.1883, + "step": 5788 + }, + { + "epoch": 0.5080981154224871, + "grad_norm": 0.053955078125, + "learning_rate": 0.001739422745199064, + "loss": 1.1563, + "step": 5789 + }, + { + "epoch": 0.5081858850053896, + "grad_norm": 0.0546875, + "learning_rate": 0.0017389995572343602, + "loss": 1.1719, + "step": 5790 + }, + { + "epoch": 0.5082736545882921, + "grad_norm": 0.061767578125, + "learning_rate": 0.0017385763604857523, + "loss": 1.2017, + "step": 5791 + }, + { + "epoch": 0.5083614241711946, + "grad_norm": 0.080078125, + "learning_rate": 0.0017381531549950085, + "loss": 1.1683, + "step": 5792 + }, + { + "epoch": 0.508449193754097, + "grad_norm": 0.06298828125, + "learning_rate": 0.0017377299408038967, + "loss": 1.189, + "step": 5793 + }, + { + "epoch": 0.5085369633369995, + "grad_norm": 0.056396484375, + "learning_rate": 0.001737306717954187, + "loss": 1.2054, + "step": 5794 + }, + { + "epoch": 0.5086247329199021, + "grad_norm": 0.08544921875, + "learning_rate": 0.0017368834864876497, + "loss": 1.2339, + "step": 5795 + }, + { + "epoch": 0.5087125025028045, + "grad_norm": 0.061767578125, + "learning_rate": 0.0017364602464460558, + "loss": 1.2185, + "step": 5796 + }, + { + "epoch": 0.508800272085707, + "grad_norm": 0.0654296875, + "learning_rate": 0.001736036997871178, + "loss": 1.2116, + "step": 5797 + }, + { + "epoch": 0.5088880416686095, + "grad_norm": 0.061767578125, + "learning_rate": 0.001735613740804789, + "loss": 1.2092, + "step": 5798 + }, + { + "epoch": 0.5089758112515119, + "grad_norm": 0.06201171875, + "learning_rate": 0.0017351904752886625, + "loss": 1.1909, + "step": 5799 + }, + { + "epoch": 0.5090635808344145, + "grad_norm": 0.061279296875, + "learning_rate": 0.0017347672013645731, + "loss": 1.1875, + "step": 5800 + }, + { + "epoch": 0.509151350417317, + "grad_norm": 0.054443359375, + "learning_rate": 0.0017343439190742967, + "loss": 1.2468, + "step": 5801 + }, + { + "epoch": 0.5092391200002194, + "grad_norm": 0.054443359375, + "learning_rate": 0.0017339206284596085, + "loss": 1.2145, + "step": 5802 + }, + { + "epoch": 0.5093268895831219, + "grad_norm": 0.08349609375, + "learning_rate": 0.0017334973295622866, + "loss": 1.2162, + "step": 5803 + }, + { + "epoch": 0.5094146591660244, + "grad_norm": 0.056396484375, + "learning_rate": 0.001733074022424109, + "loss": 1.2398, + "step": 5804 + }, + { + "epoch": 0.5095024287489269, + "grad_norm": 0.0751953125, + "learning_rate": 0.0017326507070868538, + "loss": 1.159, + "step": 5805 + }, + { + "epoch": 0.5095901983318294, + "grad_norm": 0.08837890625, + "learning_rate": 0.0017322273835923007, + "loss": 1.2283, + "step": 5806 + }, + { + "epoch": 0.5096779679147319, + "grad_norm": 0.05517578125, + "learning_rate": 0.0017318040519822306, + "loss": 1.1445, + "step": 5807 + }, + { + "epoch": 0.5097657374976343, + "grad_norm": 0.05615234375, + "learning_rate": 0.001731380712298424, + "loss": 1.2191, + "step": 5808 + }, + { + "epoch": 0.5098535070805368, + "grad_norm": 0.07666015625, + "learning_rate": 0.0017309573645826629, + "loss": 1.1801, + "step": 5809 + }, + { + "epoch": 0.5099412766634394, + "grad_norm": 0.05859375, + "learning_rate": 0.0017305340088767307, + "loss": 1.2172, + "step": 5810 + }, + { + "epoch": 0.5100290462463418, + "grad_norm": 0.07177734375, + "learning_rate": 0.0017301106452224102, + "loss": 1.2446, + "step": 5811 + }, + { + "epoch": 0.5101168158292443, + "grad_norm": 0.07373046875, + "learning_rate": 0.001729687273661486, + "loss": 1.1777, + "step": 5812 + }, + { + "epoch": 0.5102045854121467, + "grad_norm": 0.059814453125, + "learning_rate": 0.0017292638942357434, + "loss": 1.1731, + "step": 5813 + }, + { + "epoch": 0.5102923549950492, + "grad_norm": 0.08251953125, + "learning_rate": 0.0017288405069869677, + "loss": 1.2281, + "step": 5814 + }, + { + "epoch": 0.5103801245779517, + "grad_norm": 0.0888671875, + "learning_rate": 0.0017284171119569462, + "loss": 1.249, + "step": 5815 + }, + { + "epoch": 0.5104678941608543, + "grad_norm": 0.061767578125, + "learning_rate": 0.001727993709187466, + "loss": 1.1903, + "step": 5816 + }, + { + "epoch": 0.5105556637437567, + "grad_norm": 0.1220703125, + "learning_rate": 0.0017275702987203153, + "loss": 1.1755, + "step": 5817 + }, + { + "epoch": 0.5106434333266592, + "grad_norm": 0.05029296875, + "learning_rate": 0.001727146880597283, + "loss": 1.1874, + "step": 5818 + }, + { + "epoch": 0.5107312029095616, + "grad_norm": 0.0615234375, + "learning_rate": 0.0017267234548601592, + "loss": 1.1159, + "step": 5819 + }, + { + "epoch": 0.5108189724924641, + "grad_norm": 0.1279296875, + "learning_rate": 0.0017263000215507333, + "loss": 1.1645, + "step": 5820 + }, + { + "epoch": 0.5109067420753667, + "grad_norm": 0.060791015625, + "learning_rate": 0.0017258765807107975, + "loss": 1.2263, + "step": 5821 + }, + { + "epoch": 0.5109945116582691, + "grad_norm": 0.0947265625, + "learning_rate": 0.0017254531323821433, + "loss": 1.2312, + "step": 5822 + }, + { + "epoch": 0.5110822812411716, + "grad_norm": 0.057861328125, + "learning_rate": 0.0017250296766065636, + "loss": 1.1911, + "step": 5823 + }, + { + "epoch": 0.5111700508240741, + "grad_norm": 0.0732421875, + "learning_rate": 0.0017246062134258517, + "loss": 1.1471, + "step": 5824 + }, + { + "epoch": 0.5112578204069765, + "grad_norm": 0.05908203125, + "learning_rate": 0.001724182742881802, + "loss": 1.1924, + "step": 5825 + }, + { + "epoch": 0.5113455899898791, + "grad_norm": 0.05322265625, + "learning_rate": 0.0017237592650162087, + "loss": 1.1897, + "step": 5826 + }, + { + "epoch": 0.5114333595727816, + "grad_norm": 0.0576171875, + "learning_rate": 0.0017233357798708679, + "loss": 1.1976, + "step": 5827 + }, + { + "epoch": 0.511521129155684, + "grad_norm": 0.07666015625, + "learning_rate": 0.001722912287487576, + "loss": 1.1992, + "step": 5828 + }, + { + "epoch": 0.5116088987385865, + "grad_norm": 0.08056640625, + "learning_rate": 0.00172248878790813, + "loss": 1.2, + "step": 5829 + }, + { + "epoch": 0.511696668321489, + "grad_norm": 0.068359375, + "learning_rate": 0.0017220652811743267, + "loss": 1.2266, + "step": 5830 + }, + { + "epoch": 0.5117844379043915, + "grad_norm": 0.05908203125, + "learning_rate": 0.0017216417673279662, + "loss": 1.1915, + "step": 5831 + }, + { + "epoch": 0.511872207487294, + "grad_norm": 0.09814453125, + "learning_rate": 0.001721218246410846, + "loss": 1.2516, + "step": 5832 + }, + { + "epoch": 0.5119599770701965, + "grad_norm": 0.05712890625, + "learning_rate": 0.001720794718464767, + "loss": 1.1898, + "step": 5833 + }, + { + "epoch": 0.5120477466530989, + "grad_norm": 0.051025390625, + "learning_rate": 0.001720371183531529, + "loss": 1.1375, + "step": 5834 + }, + { + "epoch": 0.5121355162360014, + "grad_norm": 0.056396484375, + "learning_rate": 0.0017199476416529344, + "loss": 1.1382, + "step": 5835 + }, + { + "epoch": 0.512223285818904, + "grad_norm": 0.0751953125, + "learning_rate": 0.0017195240928707836, + "loss": 1.246, + "step": 5836 + }, + { + "epoch": 0.5123110554018064, + "grad_norm": 0.06298828125, + "learning_rate": 0.0017191005372268803, + "loss": 1.2246, + "step": 5837 + }, + { + "epoch": 0.5123988249847089, + "grad_norm": 0.056640625, + "learning_rate": 0.0017186769747630272, + "loss": 1.172, + "step": 5838 + }, + { + "epoch": 0.5124865945676114, + "grad_norm": 0.052734375, + "learning_rate": 0.0017182534055210287, + "loss": 1.1583, + "step": 5839 + }, + { + "epoch": 0.5125743641505138, + "grad_norm": 0.05615234375, + "learning_rate": 0.001717829829542689, + "loss": 1.16, + "step": 5840 + }, + { + "epoch": 0.5126621337334164, + "grad_norm": 0.05712890625, + "learning_rate": 0.0017174062468698138, + "loss": 1.183, + "step": 5841 + }, + { + "epoch": 0.5127499033163189, + "grad_norm": 0.08837890625, + "learning_rate": 0.001716982657544208, + "loss": 1.2016, + "step": 5842 + }, + { + "epoch": 0.5128376728992213, + "grad_norm": 0.09228515625, + "learning_rate": 0.0017165590616076793, + "loss": 1.1783, + "step": 5843 + }, + { + "epoch": 0.5129254424821238, + "grad_norm": 0.091796875, + "learning_rate": 0.0017161354591020347, + "loss": 1.1923, + "step": 5844 + }, + { + "epoch": 0.5130132120650263, + "grad_norm": 0.0986328125, + "learning_rate": 0.0017157118500690826, + "loss": 1.2211, + "step": 5845 + }, + { + "epoch": 0.5131009816479287, + "grad_norm": 0.1015625, + "learning_rate": 0.0017152882345506301, + "loss": 1.1938, + "step": 5846 + }, + { + "epoch": 0.5131887512308313, + "grad_norm": 0.062255859375, + "learning_rate": 0.0017148646125884873, + "loss": 1.1713, + "step": 5847 + }, + { + "epoch": 0.5132765208137338, + "grad_norm": 0.053466796875, + "learning_rate": 0.0017144409842244639, + "loss": 1.2203, + "step": 5848 + }, + { + "epoch": 0.5133642903966362, + "grad_norm": 0.05908203125, + "learning_rate": 0.0017140173495003705, + "loss": 1.1886, + "step": 5849 + }, + { + "epoch": 0.5134520599795387, + "grad_norm": 0.0546875, + "learning_rate": 0.0017135937084580175, + "loss": 1.1353, + "step": 5850 + }, + { + "epoch": 0.5135398295624412, + "grad_norm": 0.059814453125, + "learning_rate": 0.0017131700611392178, + "loss": 1.288, + "step": 5851 + }, + { + "epoch": 0.5136275991453437, + "grad_norm": 0.06103515625, + "learning_rate": 0.0017127464075857828, + "loss": 1.1695, + "step": 5852 + }, + { + "epoch": 0.5137153687282462, + "grad_norm": 0.0576171875, + "learning_rate": 0.0017123227478395254, + "loss": 1.2113, + "step": 5853 + }, + { + "epoch": 0.5138031383111487, + "grad_norm": 0.06103515625, + "learning_rate": 0.0017118990819422594, + "loss": 1.1542, + "step": 5854 + }, + { + "epoch": 0.5138909078940511, + "grad_norm": 0.052734375, + "learning_rate": 0.0017114754099357996, + "loss": 1.2009, + "step": 5855 + }, + { + "epoch": 0.5139786774769536, + "grad_norm": 0.05126953125, + "learning_rate": 0.001711051731861959, + "loss": 1.205, + "step": 5856 + }, + { + "epoch": 0.5140664470598562, + "grad_norm": 0.05224609375, + "learning_rate": 0.0017106280477625546, + "loss": 1.178, + "step": 5857 + }, + { + "epoch": 0.5141542166427586, + "grad_norm": 0.09033203125, + "learning_rate": 0.0017102043576794023, + "loss": 1.2346, + "step": 5858 + }, + { + "epoch": 0.5142419862256611, + "grad_norm": 0.052734375, + "learning_rate": 0.0017097806616543172, + "loss": 1.1765, + "step": 5859 + }, + { + "epoch": 0.5143297558085635, + "grad_norm": 0.0771484375, + "learning_rate": 0.0017093569597291176, + "loss": 1.2248, + "step": 5860 + }, + { + "epoch": 0.514417525391466, + "grad_norm": 0.0615234375, + "learning_rate": 0.0017089332519456214, + "loss": 1.1933, + "step": 5861 + }, + { + "epoch": 0.5145052949743686, + "grad_norm": 0.06982421875, + "learning_rate": 0.0017085095383456456, + "loss": 1.2237, + "step": 5862 + }, + { + "epoch": 0.514593064557271, + "grad_norm": 0.06884765625, + "learning_rate": 0.0017080858189710106, + "loss": 1.2071, + "step": 5863 + }, + { + "epoch": 0.5146808341401735, + "grad_norm": 0.095703125, + "learning_rate": 0.0017076620938635352, + "loss": 1.2101, + "step": 5864 + }, + { + "epoch": 0.514768603723076, + "grad_norm": 0.053466796875, + "learning_rate": 0.0017072383630650388, + "loss": 1.1898, + "step": 5865 + }, + { + "epoch": 0.5148563733059784, + "grad_norm": 0.107421875, + "learning_rate": 0.0017068146266173425, + "loss": 1.1323, + "step": 5866 + }, + { + "epoch": 0.514944142888881, + "grad_norm": 0.04833984375, + "learning_rate": 0.0017063908845622673, + "loss": 1.1967, + "step": 5867 + }, + { + "epoch": 0.5150319124717835, + "grad_norm": 0.06005859375, + "learning_rate": 0.0017059671369416354, + "loss": 1.2031, + "step": 5868 + }, + { + "epoch": 0.515119682054686, + "grad_norm": 0.059814453125, + "learning_rate": 0.001705543383797268, + "loss": 1.1404, + "step": 5869 + }, + { + "epoch": 0.5152074516375884, + "grad_norm": 0.051513671875, + "learning_rate": 0.0017051196251709887, + "loss": 1.2557, + "step": 5870 + }, + { + "epoch": 0.5152952212204909, + "grad_norm": 0.05712890625, + "learning_rate": 0.0017046958611046203, + "loss": 1.1856, + "step": 5871 + }, + { + "epoch": 0.5153829908033933, + "grad_norm": 0.062255859375, + "learning_rate": 0.0017042720916399868, + "loss": 1.2141, + "step": 5872 + }, + { + "epoch": 0.5154707603862959, + "grad_norm": 0.07861328125, + "learning_rate": 0.0017038483168189131, + "loss": 1.2483, + "step": 5873 + }, + { + "epoch": 0.5155585299691984, + "grad_norm": 0.050537109375, + "learning_rate": 0.001703424536683223, + "loss": 1.1784, + "step": 5874 + }, + { + "epoch": 0.5156462995521008, + "grad_norm": 0.0595703125, + "learning_rate": 0.0017030007512747428, + "loss": 1.1865, + "step": 5875 + }, + { + "epoch": 0.5157340691350033, + "grad_norm": 0.054443359375, + "learning_rate": 0.0017025769606352982, + "loss": 1.2004, + "step": 5876 + }, + { + "epoch": 0.5158218387179058, + "grad_norm": 0.05078125, + "learning_rate": 0.001702153164806715, + "loss": 1.2224, + "step": 5877 + }, + { + "epoch": 0.5159096083008083, + "grad_norm": 0.054931640625, + "learning_rate": 0.0017017293638308217, + "loss": 1.2389, + "step": 5878 + }, + { + "epoch": 0.5159973778837108, + "grad_norm": 0.053955078125, + "learning_rate": 0.0017013055577494445, + "loss": 1.1914, + "step": 5879 + }, + { + "epoch": 0.5160851474666133, + "grad_norm": 0.05126953125, + "learning_rate": 0.0017008817466044118, + "loss": 1.1712, + "step": 5880 + }, + { + "epoch": 0.5161729170495157, + "grad_norm": 0.052490234375, + "learning_rate": 0.0017004579304375524, + "loss": 1.1601, + "step": 5881 + }, + { + "epoch": 0.5162606866324182, + "grad_norm": 0.0546875, + "learning_rate": 0.001700034109290694, + "loss": 1.1624, + "step": 5882 + }, + { + "epoch": 0.5163484562153208, + "grad_norm": 0.05224609375, + "learning_rate": 0.0016996102832056673, + "loss": 1.167, + "step": 5883 + }, + { + "epoch": 0.5164362257982232, + "grad_norm": 0.0732421875, + "learning_rate": 0.0016991864522243024, + "loss": 1.2413, + "step": 5884 + }, + { + "epoch": 0.5165239953811257, + "grad_norm": 0.05322265625, + "learning_rate": 0.0016987626163884292, + "loss": 1.1955, + "step": 5885 + }, + { + "epoch": 0.5166117649640282, + "grad_norm": 0.05517578125, + "learning_rate": 0.0016983387757398786, + "loss": 1.1993, + "step": 5886 + }, + { + "epoch": 0.5166995345469306, + "grad_norm": 0.054443359375, + "learning_rate": 0.0016979149303204815, + "loss": 1.2087, + "step": 5887 + }, + { + "epoch": 0.5167873041298332, + "grad_norm": 0.051513671875, + "learning_rate": 0.001697491080172071, + "loss": 1.1863, + "step": 5888 + }, + { + "epoch": 0.5168750737127357, + "grad_norm": 0.0537109375, + "learning_rate": 0.0016970672253364789, + "loss": 1.2547, + "step": 5889 + }, + { + "epoch": 0.5169628432956381, + "grad_norm": 0.05126953125, + "learning_rate": 0.001696643365855538, + "loss": 1.2017, + "step": 5890 + }, + { + "epoch": 0.5170506128785406, + "grad_norm": 0.05224609375, + "learning_rate": 0.0016962195017710807, + "loss": 1.1522, + "step": 5891 + }, + { + "epoch": 0.5171383824614431, + "grad_norm": 0.06689453125, + "learning_rate": 0.0016957956331249422, + "loss": 1.22, + "step": 5892 + }, + { + "epoch": 0.5172261520443456, + "grad_norm": 0.05712890625, + "learning_rate": 0.0016953717599589551, + "loss": 1.1915, + "step": 5893 + }, + { + "epoch": 0.5173139216272481, + "grad_norm": 0.0615234375, + "learning_rate": 0.0016949478823149555, + "loss": 1.2239, + "step": 5894 + }, + { + "epoch": 0.5174016912101506, + "grad_norm": 0.058837890625, + "learning_rate": 0.001694524000234778, + "loss": 1.2802, + "step": 5895 + }, + { + "epoch": 0.517489460793053, + "grad_norm": 0.05517578125, + "learning_rate": 0.001694100113760257, + "loss": 1.1785, + "step": 5896 + }, + { + "epoch": 0.5175772303759555, + "grad_norm": 0.058837890625, + "learning_rate": 0.00169367622293323, + "loss": 1.2512, + "step": 5897 + }, + { + "epoch": 0.5176649999588581, + "grad_norm": 0.052734375, + "learning_rate": 0.0016932523277955324, + "loss": 1.2313, + "step": 5898 + }, + { + "epoch": 0.5177527695417605, + "grad_norm": 0.06591796875, + "learning_rate": 0.0016928284283890009, + "loss": 1.1816, + "step": 5899 + }, + { + "epoch": 0.517840539124663, + "grad_norm": 0.07666015625, + "learning_rate": 0.0016924045247554732, + "loss": 1.2514, + "step": 5900 + }, + { + "epoch": 0.5179283087075655, + "grad_norm": 0.053466796875, + "learning_rate": 0.0016919806169367866, + "loss": 1.1811, + "step": 5901 + }, + { + "epoch": 0.5180160782904679, + "grad_norm": 0.0517578125, + "learning_rate": 0.0016915567049747794, + "loss": 1.2001, + "step": 5902 + }, + { + "epoch": 0.5181038478733704, + "grad_norm": 0.04931640625, + "learning_rate": 0.0016911327889112902, + "loss": 1.1837, + "step": 5903 + }, + { + "epoch": 0.518191617456273, + "grad_norm": 0.057373046875, + "learning_rate": 0.0016907088687881566, + "loss": 1.2073, + "step": 5904 + }, + { + "epoch": 0.5182793870391754, + "grad_norm": 0.0546875, + "learning_rate": 0.0016902849446472192, + "loss": 1.1584, + "step": 5905 + }, + { + "epoch": 0.5183671566220779, + "grad_norm": 0.05078125, + "learning_rate": 0.0016898610165303174, + "loss": 1.1504, + "step": 5906 + }, + { + "epoch": 0.5184549262049803, + "grad_norm": 0.05224609375, + "learning_rate": 0.0016894370844792905, + "loss": 1.1864, + "step": 5907 + }, + { + "epoch": 0.5185426957878828, + "grad_norm": 0.087890625, + "learning_rate": 0.0016890131485359796, + "loss": 1.2212, + "step": 5908 + }, + { + "epoch": 0.5186304653707854, + "grad_norm": 0.0556640625, + "learning_rate": 0.0016885892087422257, + "loss": 1.2034, + "step": 5909 + }, + { + "epoch": 0.5187182349536879, + "grad_norm": 0.07080078125, + "learning_rate": 0.0016881652651398692, + "loss": 1.1584, + "step": 5910 + }, + { + "epoch": 0.5188060045365903, + "grad_norm": 0.07666015625, + "learning_rate": 0.0016877413177707522, + "loss": 1.1881, + "step": 5911 + }, + { + "epoch": 0.5188937741194928, + "grad_norm": 0.053466796875, + "learning_rate": 0.0016873173666767157, + "loss": 1.233, + "step": 5912 + }, + { + "epoch": 0.5189815437023952, + "grad_norm": 0.07568359375, + "learning_rate": 0.001686893411899604, + "loss": 1.2495, + "step": 5913 + }, + { + "epoch": 0.5190693132852978, + "grad_norm": 0.087890625, + "learning_rate": 0.0016864694534812577, + "loss": 1.188, + "step": 5914 + }, + { + "epoch": 0.5191570828682003, + "grad_norm": 0.08447265625, + "learning_rate": 0.001686045491463521, + "loss": 1.2306, + "step": 5915 + }, + { + "epoch": 0.5192448524511027, + "grad_norm": 0.087890625, + "learning_rate": 0.0016856215258882368, + "loss": 1.2367, + "step": 5916 + }, + { + "epoch": 0.5193326220340052, + "grad_norm": 0.0576171875, + "learning_rate": 0.0016851975567972488, + "loss": 1.172, + "step": 5917 + }, + { + "epoch": 0.5194203916169077, + "grad_norm": 0.134765625, + "learning_rate": 0.0016847735842324013, + "loss": 1.2108, + "step": 5918 + }, + { + "epoch": 0.5195081611998102, + "grad_norm": 0.052978515625, + "learning_rate": 0.0016843496082355389, + "loss": 1.1407, + "step": 5919 + }, + { + "epoch": 0.5195959307827127, + "grad_norm": 0.130859375, + "learning_rate": 0.0016839256288485058, + "loss": 1.2466, + "step": 5920 + }, + { + "epoch": 0.5196837003656152, + "grad_norm": 0.07080078125, + "learning_rate": 0.0016835016461131476, + "loss": 1.1426, + "step": 5921 + }, + { + "epoch": 0.5197714699485176, + "grad_norm": 0.1103515625, + "learning_rate": 0.0016830776600713089, + "loss": 1.2075, + "step": 5922 + }, + { + "epoch": 0.5198592395314201, + "grad_norm": 0.10888671875, + "learning_rate": 0.0016826536707648366, + "loss": 1.2231, + "step": 5923 + }, + { + "epoch": 0.5199470091143227, + "grad_norm": 0.049560546875, + "learning_rate": 0.0016822296782355761, + "loss": 1.19, + "step": 5924 + }, + { + "epoch": 0.5200347786972251, + "grad_norm": 0.1513671875, + "learning_rate": 0.0016818056825253739, + "loss": 1.2029, + "step": 5925 + }, + { + "epoch": 0.5201225482801276, + "grad_norm": 0.08203125, + "learning_rate": 0.0016813816836760767, + "loss": 1.1887, + "step": 5926 + }, + { + "epoch": 0.5202103178630301, + "grad_norm": 0.10107421875, + "learning_rate": 0.0016809576817295312, + "loss": 1.2285, + "step": 5927 + }, + { + "epoch": 0.5202980874459325, + "grad_norm": 0.1025390625, + "learning_rate": 0.0016805336767275853, + "loss": 1.1851, + "step": 5928 + }, + { + "epoch": 0.520385857028835, + "grad_norm": 0.05859375, + "learning_rate": 0.001680109668712086, + "loss": 1.1849, + "step": 5929 + }, + { + "epoch": 0.5204736266117376, + "grad_norm": 0.07470703125, + "learning_rate": 0.001679685657724882, + "loss": 1.1625, + "step": 5930 + }, + { + "epoch": 0.52056139619464, + "grad_norm": 0.060302734375, + "learning_rate": 0.0016792616438078211, + "loss": 1.1538, + "step": 5931 + }, + { + "epoch": 0.5206491657775425, + "grad_norm": 0.054931640625, + "learning_rate": 0.0016788376270027512, + "loss": 1.1891, + "step": 5932 + }, + { + "epoch": 0.520736935360445, + "grad_norm": 0.059326171875, + "learning_rate": 0.0016784136073515218, + "loss": 1.2512, + "step": 5933 + }, + { + "epoch": 0.5208247049433474, + "grad_norm": 0.083984375, + "learning_rate": 0.0016779895848959819, + "loss": 1.2484, + "step": 5934 + }, + { + "epoch": 0.52091247452625, + "grad_norm": 0.091796875, + "learning_rate": 0.0016775655596779808, + "loss": 1.179, + "step": 5935 + }, + { + "epoch": 0.5210002441091525, + "grad_norm": 0.054443359375, + "learning_rate": 0.0016771415317393679, + "loss": 1.2038, + "step": 5936 + }, + { + "epoch": 0.5210880136920549, + "grad_norm": 0.08642578125, + "learning_rate": 0.0016767175011219932, + "loss": 1.2503, + "step": 5937 + }, + { + "epoch": 0.5211757832749574, + "grad_norm": 0.06591796875, + "learning_rate": 0.001676293467867707, + "loss": 1.2412, + "step": 5938 + }, + { + "epoch": 0.5212635528578599, + "grad_norm": 0.0654296875, + "learning_rate": 0.0016758694320183594, + "loss": 1.2116, + "step": 5939 + }, + { + "epoch": 0.5213513224407624, + "grad_norm": 0.0625, + "learning_rate": 0.0016754453936158012, + "loss": 1.1987, + "step": 5940 + }, + { + "epoch": 0.5214390920236649, + "grad_norm": 0.07666015625, + "learning_rate": 0.0016750213527018834, + "loss": 1.1392, + "step": 5941 + }, + { + "epoch": 0.5215268616065674, + "grad_norm": 0.09326171875, + "learning_rate": 0.0016745973093184572, + "loss": 1.2243, + "step": 5942 + }, + { + "epoch": 0.5216146311894698, + "grad_norm": 0.0673828125, + "learning_rate": 0.0016741732635073736, + "loss": 1.1448, + "step": 5943 + }, + { + "epoch": 0.5217024007723723, + "grad_norm": 0.099609375, + "learning_rate": 0.0016737492153104845, + "loss": 1.1601, + "step": 5944 + }, + { + "epoch": 0.5217901703552749, + "grad_norm": 0.05322265625, + "learning_rate": 0.0016733251647696424, + "loss": 1.2327, + "step": 5945 + }, + { + "epoch": 0.5218779399381773, + "grad_norm": 0.07763671875, + "learning_rate": 0.0016729011119266985, + "loss": 1.2385, + "step": 5946 + }, + { + "epoch": 0.5219657095210798, + "grad_norm": 0.06787109375, + "learning_rate": 0.0016724770568235054, + "loss": 1.2016, + "step": 5947 + }, + { + "epoch": 0.5220534791039823, + "grad_norm": 0.08740234375, + "learning_rate": 0.001672052999501916, + "loss": 1.1717, + "step": 5948 + }, + { + "epoch": 0.5221412486868847, + "grad_norm": 0.078125, + "learning_rate": 0.0016716289400037822, + "loss": 1.1706, + "step": 5949 + }, + { + "epoch": 0.5222290182697873, + "grad_norm": 0.060791015625, + "learning_rate": 0.001671204878370958, + "loss": 1.1849, + "step": 5950 + }, + { + "epoch": 0.5223167878526898, + "grad_norm": 0.10693359375, + "learning_rate": 0.0016707808146452963, + "loss": 1.2236, + "step": 5951 + }, + { + "epoch": 0.5224045574355922, + "grad_norm": 0.056640625, + "learning_rate": 0.0016703567488686503, + "loss": 1.1704, + "step": 5952 + }, + { + "epoch": 0.5224923270184947, + "grad_norm": 0.09375, + "learning_rate": 0.001669932681082874, + "loss": 1.2394, + "step": 5953 + }, + { + "epoch": 0.5225800966013971, + "grad_norm": 0.05615234375, + "learning_rate": 0.0016695086113298206, + "loss": 1.1929, + "step": 5954 + }, + { + "epoch": 0.5226678661842996, + "grad_norm": 0.064453125, + "learning_rate": 0.0016690845396513444, + "loss": 1.2097, + "step": 5955 + }, + { + "epoch": 0.5227556357672022, + "grad_norm": 0.057861328125, + "learning_rate": 0.0016686604660892997, + "loss": 1.2398, + "step": 5956 + }, + { + "epoch": 0.5228434053501047, + "grad_norm": 0.057861328125, + "learning_rate": 0.001668236390685541, + "loss": 1.1755, + "step": 5957 + }, + { + "epoch": 0.5229311749330071, + "grad_norm": 0.07421875, + "learning_rate": 0.0016678123134819226, + "loss": 1.1669, + "step": 5958 + }, + { + "epoch": 0.5230189445159096, + "grad_norm": 0.11279296875, + "learning_rate": 0.0016673882345202991, + "loss": 1.2118, + "step": 5959 + }, + { + "epoch": 0.523106714098812, + "grad_norm": 0.0537109375, + "learning_rate": 0.0016669641538425263, + "loss": 1.2222, + "step": 5960 + }, + { + "epoch": 0.5231944836817146, + "grad_norm": 0.064453125, + "learning_rate": 0.001666540071490458, + "loss": 1.1956, + "step": 5961 + }, + { + "epoch": 0.5232822532646171, + "grad_norm": 0.115234375, + "learning_rate": 0.0016661159875059508, + "loss": 1.2088, + "step": 5962 + }, + { + "epoch": 0.5233700228475195, + "grad_norm": 0.06689453125, + "learning_rate": 0.0016656919019308585, + "loss": 1.1622, + "step": 5963 + }, + { + "epoch": 0.523457792430422, + "grad_norm": 0.1181640625, + "learning_rate": 0.0016652678148070385, + "loss": 1.2541, + "step": 5964 + }, + { + "epoch": 0.5235455620133245, + "grad_norm": 0.064453125, + "learning_rate": 0.0016648437261763446, + "loss": 1.216, + "step": 5965 + }, + { + "epoch": 0.523633331596227, + "grad_norm": 0.0673828125, + "learning_rate": 0.0016644196360806347, + "loss": 1.184, + "step": 5966 + }, + { + "epoch": 0.5237211011791295, + "grad_norm": 0.10205078125, + "learning_rate": 0.001663995544561763, + "loss": 1.1758, + "step": 5967 + }, + { + "epoch": 0.523808870762032, + "grad_norm": 0.06640625, + "learning_rate": 0.0016635714516615864, + "loss": 1.1795, + "step": 5968 + }, + { + "epoch": 0.5238966403449344, + "grad_norm": 0.08154296875, + "learning_rate": 0.0016631473574219614, + "loss": 1.2187, + "step": 5969 + }, + { + "epoch": 0.5239844099278369, + "grad_norm": 0.051513671875, + "learning_rate": 0.0016627232618847449, + "loss": 1.179, + "step": 5970 + }, + { + "epoch": 0.5240721795107395, + "grad_norm": 0.078125, + "learning_rate": 0.001662299165091792, + "loss": 1.3068, + "step": 5971 + }, + { + "epoch": 0.5241599490936419, + "grad_norm": 0.056396484375, + "learning_rate": 0.0016618750670849606, + "loss": 1.1545, + "step": 5972 + }, + { + "epoch": 0.5242477186765444, + "grad_norm": 0.06396484375, + "learning_rate": 0.0016614509679061063, + "loss": 1.2528, + "step": 5973 + }, + { + "epoch": 0.5243354882594469, + "grad_norm": 0.0498046875, + "learning_rate": 0.0016610268675970878, + "loss": 1.1369, + "step": 5974 + }, + { + "epoch": 0.5244232578423493, + "grad_norm": 0.05029296875, + "learning_rate": 0.0016606027661997603, + "loss": 1.2096, + "step": 5975 + }, + { + "epoch": 0.5245110274252519, + "grad_norm": 0.046630859375, + "learning_rate": 0.001660178663755982, + "loss": 1.0937, + "step": 5976 + }, + { + "epoch": 0.5245987970081544, + "grad_norm": 0.05224609375, + "learning_rate": 0.0016597545603076103, + "loss": 1.1955, + "step": 5977 + }, + { + "epoch": 0.5246865665910568, + "grad_norm": 0.06640625, + "learning_rate": 0.0016593304558965016, + "loss": 1.2321, + "step": 5978 + }, + { + "epoch": 0.5247743361739593, + "grad_norm": 0.04931640625, + "learning_rate": 0.0016589063505645138, + "loss": 1.1762, + "step": 5979 + }, + { + "epoch": 0.5248621057568618, + "grad_norm": 0.103515625, + "learning_rate": 0.0016584822443535048, + "loss": 1.2473, + "step": 5980 + }, + { + "epoch": 0.5249498753397643, + "grad_norm": 0.051025390625, + "learning_rate": 0.0016580581373053314, + "loss": 1.1883, + "step": 5981 + }, + { + "epoch": 0.5250376449226668, + "grad_norm": 0.052001953125, + "learning_rate": 0.0016576340294618523, + "loss": 1.1568, + "step": 5982 + }, + { + "epoch": 0.5251254145055693, + "grad_norm": 0.07373046875, + "learning_rate": 0.0016572099208649242, + "loss": 1.1327, + "step": 5983 + }, + { + "epoch": 0.5252131840884717, + "grad_norm": 0.048828125, + "learning_rate": 0.0016567858115564057, + "loss": 1.199, + "step": 5984 + }, + { + "epoch": 0.5253009536713742, + "grad_norm": 0.053466796875, + "learning_rate": 0.001656361701578154, + "loss": 1.1539, + "step": 5985 + }, + { + "epoch": 0.5253887232542767, + "grad_norm": 0.09130859375, + "learning_rate": 0.0016559375909720284, + "loss": 1.1824, + "step": 5986 + }, + { + "epoch": 0.5254764928371792, + "grad_norm": 0.0537109375, + "learning_rate": 0.0016555134797798853, + "loss": 1.1351, + "step": 5987 + }, + { + "epoch": 0.5255642624200817, + "grad_norm": 0.060546875, + "learning_rate": 0.0016550893680435837, + "loss": 1.2035, + "step": 5988 + }, + { + "epoch": 0.5256520320029842, + "grad_norm": 0.06494140625, + "learning_rate": 0.0016546652558049816, + "loss": 1.2646, + "step": 5989 + }, + { + "epoch": 0.5257398015858866, + "grad_norm": 0.050048828125, + "learning_rate": 0.0016542411431059376, + "loss": 1.1536, + "step": 5990 + }, + { + "epoch": 0.5258275711687891, + "grad_norm": 0.04833984375, + "learning_rate": 0.0016538170299883093, + "loss": 1.1688, + "step": 5991 + }, + { + "epoch": 0.5259153407516917, + "grad_norm": 0.05810546875, + "learning_rate": 0.0016533929164939554, + "loss": 1.1642, + "step": 5992 + }, + { + "epoch": 0.5260031103345941, + "grad_norm": 0.060302734375, + "learning_rate": 0.0016529688026647336, + "loss": 1.2201, + "step": 5993 + }, + { + "epoch": 0.5260908799174966, + "grad_norm": 0.05419921875, + "learning_rate": 0.0016525446885425031, + "loss": 1.2092, + "step": 5994 + }, + { + "epoch": 0.526178649500399, + "grad_norm": 0.0537109375, + "learning_rate": 0.0016521205741691217, + "loss": 1.1637, + "step": 5995 + }, + { + "epoch": 0.5262664190833015, + "grad_norm": 0.057861328125, + "learning_rate": 0.0016516964595864486, + "loss": 1.218, + "step": 5996 + }, + { + "epoch": 0.5263541886662041, + "grad_norm": 0.05615234375, + "learning_rate": 0.001651272344836341, + "loss": 1.2117, + "step": 5997 + }, + { + "epoch": 0.5264419582491066, + "grad_norm": 0.05908203125, + "learning_rate": 0.001650848229960658, + "loss": 1.1804, + "step": 5998 + }, + { + "epoch": 0.526529727832009, + "grad_norm": 0.05859375, + "learning_rate": 0.0016504241150012582, + "loss": 1.2124, + "step": 5999 + }, + { + "epoch": 0.5266174974149115, + "grad_norm": 0.05712890625, + "learning_rate": 0.0016500000000000002, + "loss": 1.2236, + "step": 6000 + }, + { + "epoch": 0.5266174974149115, + "eval_loss": 1.1826441287994385, + "eval_runtime": 437.6578, + "eval_samples_per_second": 33.679, + "eval_steps_per_second": 8.42, + "step": 6000 + }, + { + "epoch": 0.526705266997814, + "grad_norm": 0.07080078125, + "learning_rate": 0.0016495758849987417, + "loss": 1.2329, + "step": 6001 + }, + { + "epoch": 0.5267930365807165, + "grad_norm": 0.06494140625, + "learning_rate": 0.0016491517700393424, + "loss": 1.22, + "step": 6002 + }, + { + "epoch": 0.526880806163619, + "grad_norm": 0.0908203125, + "learning_rate": 0.0016487276551636594, + "loss": 1.1706, + "step": 6003 + }, + { + "epoch": 0.5269685757465215, + "grad_norm": 0.05224609375, + "learning_rate": 0.0016483035404135523, + "loss": 1.219, + "step": 6004 + }, + { + "epoch": 0.5270563453294239, + "grad_norm": 0.10498046875, + "learning_rate": 0.0016478794258308787, + "loss": 1.1574, + "step": 6005 + }, + { + "epoch": 0.5271441149123264, + "grad_norm": 0.0537109375, + "learning_rate": 0.0016474553114574969, + "loss": 1.1855, + "step": 6006 + }, + { + "epoch": 0.527231884495229, + "grad_norm": 0.076171875, + "learning_rate": 0.0016470311973352666, + "loss": 1.1979, + "step": 6007 + }, + { + "epoch": 0.5273196540781314, + "grad_norm": 0.061767578125, + "learning_rate": 0.001646607083506045, + "loss": 1.1581, + "step": 6008 + }, + { + "epoch": 0.5274074236610339, + "grad_norm": 0.07177734375, + "learning_rate": 0.0016461829700116911, + "loss": 1.2173, + "step": 6009 + }, + { + "epoch": 0.5274951932439363, + "grad_norm": 0.06640625, + "learning_rate": 0.0016457588568940629, + "loss": 1.1897, + "step": 6010 + }, + { + "epoch": 0.5275829628268388, + "grad_norm": 0.059814453125, + "learning_rate": 0.0016453347441950188, + "loss": 1.2252, + "step": 6011 + }, + { + "epoch": 0.5276707324097413, + "grad_norm": 0.09912109375, + "learning_rate": 0.0016449106319564167, + "loss": 1.2289, + "step": 6012 + }, + { + "epoch": 0.5277585019926438, + "grad_norm": 0.050048828125, + "learning_rate": 0.0016444865202201154, + "loss": 1.2322, + "step": 6013 + }, + { + "epoch": 0.5278462715755463, + "grad_norm": 0.1025390625, + "learning_rate": 0.0016440624090279723, + "loss": 1.1854, + "step": 6014 + }, + { + "epoch": 0.5279340411584488, + "grad_norm": 0.1103515625, + "learning_rate": 0.001643638298421846, + "loss": 1.2341, + "step": 6015 + }, + { + "epoch": 0.5280218107413512, + "grad_norm": 0.080078125, + "learning_rate": 0.0016432141884435943, + "loss": 1.164, + "step": 6016 + }, + { + "epoch": 0.5281095803242537, + "grad_norm": 0.09814453125, + "learning_rate": 0.001642790079135076, + "loss": 1.2079, + "step": 6017 + }, + { + "epoch": 0.5281973499071563, + "grad_norm": 0.0546875, + "learning_rate": 0.001642365970538148, + "loss": 1.2044, + "step": 6018 + }, + { + "epoch": 0.5282851194900587, + "grad_norm": 0.05810546875, + "learning_rate": 0.0016419418626946688, + "loss": 1.1996, + "step": 6019 + }, + { + "epoch": 0.5283728890729612, + "grad_norm": 0.12353515625, + "learning_rate": 0.0016415177556464956, + "loss": 1.2534, + "step": 6020 + }, + { + "epoch": 0.5284606586558637, + "grad_norm": 0.05224609375, + "learning_rate": 0.0016410936494354867, + "loss": 1.2127, + "step": 6021 + }, + { + "epoch": 0.5285484282387661, + "grad_norm": 0.095703125, + "learning_rate": 0.0016406695441034988, + "loss": 1.2311, + "step": 6022 + }, + { + "epoch": 0.5286361978216687, + "grad_norm": 0.06591796875, + "learning_rate": 0.0016402454396923904, + "loss": 1.1849, + "step": 6023 + }, + { + "epoch": 0.5287239674045712, + "grad_norm": 0.052734375, + "learning_rate": 0.0016398213362440182, + "loss": 1.1507, + "step": 6024 + }, + { + "epoch": 0.5288117369874736, + "grad_norm": 0.0908203125, + "learning_rate": 0.0016393972338002404, + "loss": 1.1292, + "step": 6025 + }, + { + "epoch": 0.5288995065703761, + "grad_norm": 0.078125, + "learning_rate": 0.0016389731324029126, + "loss": 1.1801, + "step": 6026 + }, + { + "epoch": 0.5289872761532786, + "grad_norm": 0.06494140625, + "learning_rate": 0.0016385490320938937, + "loss": 1.1779, + "step": 6027 + }, + { + "epoch": 0.5290750457361811, + "grad_norm": 0.140625, + "learning_rate": 0.0016381249329150396, + "loss": 1.2283, + "step": 6028 + }, + { + "epoch": 0.5291628153190836, + "grad_norm": 0.06591796875, + "learning_rate": 0.0016377008349082085, + "loss": 1.1734, + "step": 6029 + }, + { + "epoch": 0.5292505849019861, + "grad_norm": 0.11328125, + "learning_rate": 0.0016372767381152558, + "loss": 1.1435, + "step": 6030 + }, + { + "epoch": 0.5293383544848885, + "grad_norm": 0.07470703125, + "learning_rate": 0.0016368526425780386, + "loss": 1.1593, + "step": 6031 + }, + { + "epoch": 0.529426124067791, + "grad_norm": 0.0771484375, + "learning_rate": 0.0016364285483384138, + "loss": 1.2591, + "step": 6032 + }, + { + "epoch": 0.5295138936506936, + "grad_norm": 0.07861328125, + "learning_rate": 0.0016360044554382378, + "loss": 1.1593, + "step": 6033 + }, + { + "epoch": 0.529601663233596, + "grad_norm": 0.0615234375, + "learning_rate": 0.0016355803639193662, + "loss": 1.1442, + "step": 6034 + }, + { + "epoch": 0.5296894328164985, + "grad_norm": 0.051513671875, + "learning_rate": 0.0016351562738236558, + "loss": 1.2212, + "step": 6035 + }, + { + "epoch": 0.529777202399401, + "grad_norm": 0.0810546875, + "learning_rate": 0.0016347321851929624, + "loss": 1.1617, + "step": 6036 + }, + { + "epoch": 0.5298649719823034, + "grad_norm": 0.06494140625, + "learning_rate": 0.0016343080980691415, + "loss": 1.1788, + "step": 6037 + }, + { + "epoch": 0.529952741565206, + "grad_norm": 0.06640625, + "learning_rate": 0.0016338840124940496, + "loss": 1.1635, + "step": 6038 + }, + { + "epoch": 0.5300405111481085, + "grad_norm": 0.060791015625, + "learning_rate": 0.0016334599285095421, + "loss": 1.2065, + "step": 6039 + }, + { + "epoch": 0.5301282807310109, + "grad_norm": 0.064453125, + "learning_rate": 0.001633035846157474, + "loss": 1.2287, + "step": 6040 + }, + { + "epoch": 0.5302160503139134, + "grad_norm": 0.064453125, + "learning_rate": 0.0016326117654797009, + "loss": 1.1796, + "step": 6041 + }, + { + "epoch": 0.5303038198968159, + "grad_norm": 0.06787109375, + "learning_rate": 0.0016321876865180776, + "loss": 1.1575, + "step": 6042 + }, + { + "epoch": 0.5303915894797183, + "grad_norm": 0.06591796875, + "learning_rate": 0.0016317636093144596, + "loss": 1.141, + "step": 6043 + }, + { + "epoch": 0.5304793590626209, + "grad_norm": 0.0517578125, + "learning_rate": 0.0016313395339107007, + "loss": 1.2192, + "step": 6044 + }, + { + "epoch": 0.5305671286455234, + "grad_norm": 0.109375, + "learning_rate": 0.0016309154603486563, + "loss": 1.2191, + "step": 6045 + }, + { + "epoch": 0.5306548982284258, + "grad_norm": 0.0517578125, + "learning_rate": 0.0016304913886701798, + "loss": 1.1893, + "step": 6046 + }, + { + "epoch": 0.5307426678113283, + "grad_norm": 0.057861328125, + "learning_rate": 0.0016300673189171264, + "loss": 1.2169, + "step": 6047 + }, + { + "epoch": 0.5308304373942307, + "grad_norm": 0.0703125, + "learning_rate": 0.0016296432511313502, + "loss": 1.1733, + "step": 6048 + }, + { + "epoch": 0.5309182069771333, + "grad_norm": 0.06689453125, + "learning_rate": 0.0016292191853547041, + "loss": 1.2319, + "step": 6049 + }, + { + "epoch": 0.5310059765600358, + "grad_norm": 0.07568359375, + "learning_rate": 0.0016287951216290423, + "loss": 1.2229, + "step": 6050 + }, + { + "epoch": 0.5310937461429383, + "grad_norm": 0.0595703125, + "learning_rate": 0.001628371059996218, + "loss": 1.2475, + "step": 6051 + }, + { + "epoch": 0.5311815157258407, + "grad_norm": 0.06298828125, + "learning_rate": 0.0016279470004980845, + "loss": 1.1824, + "step": 6052 + }, + { + "epoch": 0.5312692853087432, + "grad_norm": 0.0634765625, + "learning_rate": 0.0016275229431764952, + "loss": 1.1825, + "step": 6053 + }, + { + "epoch": 0.5313570548916458, + "grad_norm": 0.1025390625, + "learning_rate": 0.001627098888073302, + "loss": 1.2794, + "step": 6054 + }, + { + "epoch": 0.5314448244745482, + "grad_norm": 0.1279296875, + "learning_rate": 0.0016266748352303582, + "loss": 1.2049, + "step": 6055 + }, + { + "epoch": 0.5315325940574507, + "grad_norm": 0.08837890625, + "learning_rate": 0.0016262507846895155, + "loss": 1.1904, + "step": 6056 + }, + { + "epoch": 0.5316203636403531, + "grad_norm": 0.07275390625, + "learning_rate": 0.0016258267364926264, + "loss": 1.1975, + "step": 6057 + }, + { + "epoch": 0.5317081332232556, + "grad_norm": 0.10302734375, + "learning_rate": 0.0016254026906815432, + "loss": 1.1282, + "step": 6058 + }, + { + "epoch": 0.5317959028061582, + "grad_norm": 0.060546875, + "learning_rate": 0.0016249786472981166, + "loss": 1.2039, + "step": 6059 + }, + { + "epoch": 0.5318836723890606, + "grad_norm": 0.056640625, + "learning_rate": 0.001624554606384199, + "loss": 1.1977, + "step": 6060 + }, + { + "epoch": 0.5319714419719631, + "grad_norm": 0.099609375, + "learning_rate": 0.001624130567981641, + "loss": 1.2141, + "step": 6061 + }, + { + "epoch": 0.5320592115548656, + "grad_norm": 0.07421875, + "learning_rate": 0.0016237065321322935, + "loss": 1.1862, + "step": 6062 + }, + { + "epoch": 0.532146981137768, + "grad_norm": 0.05517578125, + "learning_rate": 0.0016232824988780072, + "loss": 1.2319, + "step": 6063 + }, + { + "epoch": 0.5322347507206706, + "grad_norm": 0.05078125, + "learning_rate": 0.001622858468260633, + "loss": 1.1583, + "step": 6064 + }, + { + "epoch": 0.5323225203035731, + "grad_norm": 0.0556640625, + "learning_rate": 0.0016224344403220198, + "loss": 1.1346, + "step": 6065 + }, + { + "epoch": 0.5324102898864755, + "grad_norm": 0.057861328125, + "learning_rate": 0.0016220104151040181, + "loss": 1.1386, + "step": 6066 + }, + { + "epoch": 0.532498059469378, + "grad_norm": 0.060546875, + "learning_rate": 0.0016215863926484781, + "loss": 1.211, + "step": 6067 + }, + { + "epoch": 0.5325858290522805, + "grad_norm": 0.059326171875, + "learning_rate": 0.0016211623729972487, + "loss": 1.1694, + "step": 6068 + }, + { + "epoch": 0.5326735986351829, + "grad_norm": 0.072265625, + "learning_rate": 0.001620738356192179, + "loss": 1.1874, + "step": 6069 + }, + { + "epoch": 0.5327613682180855, + "grad_norm": 0.05224609375, + "learning_rate": 0.0016203143422751183, + "loss": 1.1789, + "step": 6070 + }, + { + "epoch": 0.532849137800988, + "grad_norm": 0.0732421875, + "learning_rate": 0.001619890331287914, + "loss": 1.1887, + "step": 6071 + }, + { + "epoch": 0.5329369073838904, + "grad_norm": 0.052001953125, + "learning_rate": 0.0016194663232724153, + "loss": 1.1331, + "step": 6072 + }, + { + "epoch": 0.5330246769667929, + "grad_norm": 0.0654296875, + "learning_rate": 0.001619042318270469, + "loss": 1.1714, + "step": 6073 + }, + { + "epoch": 0.5331124465496954, + "grad_norm": 0.064453125, + "learning_rate": 0.0016186183163239241, + "loss": 1.1899, + "step": 6074 + }, + { + "epoch": 0.5332002161325979, + "grad_norm": 0.07958984375, + "learning_rate": 0.0016181943174746263, + "loss": 1.1801, + "step": 6075 + }, + { + "epoch": 0.5332879857155004, + "grad_norm": 0.09912109375, + "learning_rate": 0.001617770321764424, + "loss": 1.1737, + "step": 6076 + }, + { + "epoch": 0.5333757552984029, + "grad_norm": 0.056396484375, + "learning_rate": 0.0016173463292351634, + "loss": 1.1919, + "step": 6077 + }, + { + "epoch": 0.5334635248813053, + "grad_norm": 0.1044921875, + "learning_rate": 0.0016169223399286911, + "loss": 1.1951, + "step": 6078 + }, + { + "epoch": 0.5335512944642078, + "grad_norm": 0.054443359375, + "learning_rate": 0.0016164983538868528, + "loss": 1.1619, + "step": 6079 + }, + { + "epoch": 0.5336390640471104, + "grad_norm": 0.0654296875, + "learning_rate": 0.0016160743711514944, + "loss": 1.1679, + "step": 6080 + }, + { + "epoch": 0.5337268336300128, + "grad_norm": 0.056396484375, + "learning_rate": 0.0016156503917644615, + "loss": 1.1544, + "step": 6081 + }, + { + "epoch": 0.5338146032129153, + "grad_norm": 0.07470703125, + "learning_rate": 0.001615226415767599, + "loss": 1.1356, + "step": 6082 + }, + { + "epoch": 0.5339023727958178, + "grad_norm": 0.05419921875, + "learning_rate": 0.0016148024432027514, + "loss": 1.2222, + "step": 6083 + }, + { + "epoch": 0.5339901423787202, + "grad_norm": 0.08642578125, + "learning_rate": 0.0016143784741117638, + "loss": 1.1654, + "step": 6084 + }, + { + "epoch": 0.5340779119616228, + "grad_norm": 0.050537109375, + "learning_rate": 0.0016139545085364795, + "loss": 1.1409, + "step": 6085 + }, + { + "epoch": 0.5341656815445253, + "grad_norm": 0.13671875, + "learning_rate": 0.0016135305465187423, + "loss": 1.2248, + "step": 6086 + }, + { + "epoch": 0.5342534511274277, + "grad_norm": 0.06689453125, + "learning_rate": 0.0016131065881003965, + "loss": 1.246, + "step": 6087 + }, + { + "epoch": 0.5343412207103302, + "grad_norm": 0.15625, + "learning_rate": 0.0016126826333232843, + "loss": 1.2109, + "step": 6088 + }, + { + "epoch": 0.5344289902932327, + "grad_norm": 0.053466796875, + "learning_rate": 0.0016122586822292482, + "loss": 1.1569, + "step": 6089 + }, + { + "epoch": 0.5345167598761352, + "grad_norm": 0.11962890625, + "learning_rate": 0.0016118347348601312, + "loss": 1.211, + "step": 6090 + }, + { + "epoch": 0.5346045294590377, + "grad_norm": 0.07421875, + "learning_rate": 0.0016114107912577748, + "loss": 1.1709, + "step": 6091 + }, + { + "epoch": 0.5346922990419402, + "grad_norm": 0.058837890625, + "learning_rate": 0.0016109868514640204, + "loss": 1.1282, + "step": 6092 + }, + { + "epoch": 0.5347800686248426, + "grad_norm": 0.11279296875, + "learning_rate": 0.0016105629155207099, + "loss": 1.1549, + "step": 6093 + }, + { + "epoch": 0.5348678382077451, + "grad_norm": 0.07177734375, + "learning_rate": 0.0016101389834696832, + "loss": 1.2166, + "step": 6094 + }, + { + "epoch": 0.5349556077906475, + "grad_norm": 0.08349609375, + "learning_rate": 0.001609715055352781, + "loss": 1.2201, + "step": 6095 + }, + { + "epoch": 0.5350433773735501, + "grad_norm": 0.07421875, + "learning_rate": 0.0016092911312118434, + "loss": 1.2744, + "step": 6096 + }, + { + "epoch": 0.5351311469564526, + "grad_norm": 0.054443359375, + "learning_rate": 0.0016088672110887102, + "loss": 1.1993, + "step": 6097 + }, + { + "epoch": 0.535218916539355, + "grad_norm": 0.07373046875, + "learning_rate": 0.0016084432950252206, + "loss": 1.17, + "step": 6098 + }, + { + "epoch": 0.5353066861222575, + "grad_norm": 0.0732421875, + "learning_rate": 0.0016080193830632133, + "loss": 1.2072, + "step": 6099 + }, + { + "epoch": 0.53539445570516, + "grad_norm": 0.08203125, + "learning_rate": 0.001607595475244527, + "loss": 1.2142, + "step": 6100 + }, + { + "epoch": 0.5354822252880626, + "grad_norm": 0.0673828125, + "learning_rate": 0.0016071715716109993, + "loss": 1.1578, + "step": 6101 + }, + { + "epoch": 0.535569994870965, + "grad_norm": 0.053466796875, + "learning_rate": 0.001606747672204468, + "loss": 1.2198, + "step": 6102 + }, + { + "epoch": 0.5356577644538675, + "grad_norm": 0.07177734375, + "learning_rate": 0.00160632377706677, + "loss": 1.1644, + "step": 6103 + }, + { + "epoch": 0.5357455340367699, + "grad_norm": 0.07275390625, + "learning_rate": 0.001605899886239743, + "loss": 1.1905, + "step": 6104 + }, + { + "epoch": 0.5358333036196724, + "grad_norm": 0.056396484375, + "learning_rate": 0.0016054759997652225, + "loss": 1.1883, + "step": 6105 + }, + { + "epoch": 0.535921073202575, + "grad_norm": 0.0986328125, + "learning_rate": 0.0016050521176850445, + "loss": 1.1763, + "step": 6106 + }, + { + "epoch": 0.5360088427854774, + "grad_norm": 0.06640625, + "learning_rate": 0.0016046282400410449, + "loss": 1.2033, + "step": 6107 + }, + { + "epoch": 0.5360966123683799, + "grad_norm": 0.083984375, + "learning_rate": 0.001604204366875058, + "loss": 1.2325, + "step": 6108 + }, + { + "epoch": 0.5361843819512824, + "grad_norm": 0.0654296875, + "learning_rate": 0.0016037804982289192, + "loss": 1.1775, + "step": 6109 + }, + { + "epoch": 0.5362721515341848, + "grad_norm": 0.054931640625, + "learning_rate": 0.0016033566341444624, + "loss": 1.2191, + "step": 6110 + }, + { + "epoch": 0.5363599211170874, + "grad_norm": 0.07958984375, + "learning_rate": 0.0016029327746635215, + "loss": 1.1974, + "step": 6111 + }, + { + "epoch": 0.5364476906999899, + "grad_norm": 0.06787109375, + "learning_rate": 0.001602508919827929, + "loss": 1.2442, + "step": 6112 + }, + { + "epoch": 0.5365354602828923, + "grad_norm": 0.0908203125, + "learning_rate": 0.001602085069679519, + "loss": 1.2152, + "step": 6113 + }, + { + "epoch": 0.5366232298657948, + "grad_norm": 0.0712890625, + "learning_rate": 0.001601661224260122, + "loss": 1.1253, + "step": 6114 + }, + { + "epoch": 0.5367109994486973, + "grad_norm": 0.062255859375, + "learning_rate": 0.0016012373836115715, + "loss": 1.2086, + "step": 6115 + }, + { + "epoch": 0.5367987690315998, + "grad_norm": 0.06396484375, + "learning_rate": 0.0016008135477756976, + "loss": 1.1453, + "step": 6116 + }, + { + "epoch": 0.5368865386145023, + "grad_norm": 0.0546875, + "learning_rate": 0.0016003897167943327, + "loss": 1.1747, + "step": 6117 + }, + { + "epoch": 0.5369743081974048, + "grad_norm": 0.056640625, + "learning_rate": 0.001599965890709306, + "loss": 1.138, + "step": 6118 + }, + { + "epoch": 0.5370620777803072, + "grad_norm": 0.054443359375, + "learning_rate": 0.0015995420695624485, + "loss": 1.1821, + "step": 6119 + }, + { + "epoch": 0.5371498473632097, + "grad_norm": 0.10791015625, + "learning_rate": 0.0015991182533955884, + "loss": 1.1671, + "step": 6120 + }, + { + "epoch": 0.5372376169461123, + "grad_norm": 0.052490234375, + "learning_rate": 0.0015986944422505557, + "loss": 1.1383, + "step": 6121 + }, + { + "epoch": 0.5373253865290147, + "grad_norm": 0.095703125, + "learning_rate": 0.0015982706361691787, + "loss": 1.1574, + "step": 6122 + }, + { + "epoch": 0.5374131561119172, + "grad_norm": 0.052490234375, + "learning_rate": 0.0015978468351932852, + "loss": 1.1801, + "step": 6123 + }, + { + "epoch": 0.5375009256948197, + "grad_norm": 0.06640625, + "learning_rate": 0.0015974230393647024, + "loss": 1.1668, + "step": 6124 + }, + { + "epoch": 0.5375886952777221, + "grad_norm": 0.0703125, + "learning_rate": 0.0015969992487252578, + "loss": 1.1966, + "step": 6125 + }, + { + "epoch": 0.5376764648606246, + "grad_norm": 0.05419921875, + "learning_rate": 0.0015965754633167776, + "loss": 1.1818, + "step": 6126 + }, + { + "epoch": 0.5377642344435272, + "grad_norm": 0.06103515625, + "learning_rate": 0.0015961516831810873, + "loss": 1.2285, + "step": 6127 + }, + { + "epoch": 0.5378520040264296, + "grad_norm": 0.0625, + "learning_rate": 0.0015957279083600132, + "loss": 1.2416, + "step": 6128 + }, + { + "epoch": 0.5379397736093321, + "grad_norm": 0.0615234375, + "learning_rate": 0.0015953041388953799, + "loss": 1.1802, + "step": 6129 + }, + { + "epoch": 0.5380275431922346, + "grad_norm": 0.06982421875, + "learning_rate": 0.0015948803748290117, + "loss": 1.2045, + "step": 6130 + }, + { + "epoch": 0.538115312775137, + "grad_norm": 0.06787109375, + "learning_rate": 0.0015944566162027322, + "loss": 1.2394, + "step": 6131 + }, + { + "epoch": 0.5382030823580396, + "grad_norm": 0.05419921875, + "learning_rate": 0.001594032863058365, + "loss": 1.1509, + "step": 6132 + }, + { + "epoch": 0.5382908519409421, + "grad_norm": 0.0927734375, + "learning_rate": 0.0015936091154377331, + "loss": 1.1608, + "step": 6133 + }, + { + "epoch": 0.5383786215238445, + "grad_norm": 0.05517578125, + "learning_rate": 0.0015931853733826577, + "loss": 1.1442, + "step": 6134 + }, + { + "epoch": 0.538466391106747, + "grad_norm": 0.06689453125, + "learning_rate": 0.0015927616369349619, + "loss": 1.1767, + "step": 6135 + }, + { + "epoch": 0.5385541606896495, + "grad_norm": 0.064453125, + "learning_rate": 0.0015923379061364657, + "loss": 1.129, + "step": 6136 + }, + { + "epoch": 0.538641930272552, + "grad_norm": 0.062255859375, + "learning_rate": 0.0015919141810289894, + "loss": 1.1244, + "step": 6137 + }, + { + "epoch": 0.5387296998554545, + "grad_norm": 0.06689453125, + "learning_rate": 0.0015914904616543544, + "loss": 1.1825, + "step": 6138 + }, + { + "epoch": 0.538817469438357, + "grad_norm": 0.0576171875, + "learning_rate": 0.001591066748054379, + "loss": 1.1911, + "step": 6139 + }, + { + "epoch": 0.5389052390212594, + "grad_norm": 0.07958984375, + "learning_rate": 0.0015906430402708826, + "loss": 1.1746, + "step": 6140 + }, + { + "epoch": 0.5389930086041619, + "grad_norm": 0.06005859375, + "learning_rate": 0.001590219338345683, + "loss": 1.1888, + "step": 6141 + }, + { + "epoch": 0.5390807781870645, + "grad_norm": 0.047119140625, + "learning_rate": 0.0015897956423205982, + "loss": 1.1428, + "step": 6142 + }, + { + "epoch": 0.5391685477699669, + "grad_norm": 0.0634765625, + "learning_rate": 0.0015893719522374456, + "loss": 1.1885, + "step": 6143 + }, + { + "epoch": 0.5392563173528694, + "grad_norm": 0.05322265625, + "learning_rate": 0.001588948268138041, + "loss": 1.2071, + "step": 6144 + }, + { + "epoch": 0.5393440869357718, + "grad_norm": 0.0673828125, + "learning_rate": 0.0015885245900642015, + "loss": 1.101, + "step": 6145 + }, + { + "epoch": 0.5394318565186743, + "grad_norm": 0.07275390625, + "learning_rate": 0.0015881009180577408, + "loss": 1.2732, + "step": 6146 + }, + { + "epoch": 0.5395196261015769, + "grad_norm": 0.0732421875, + "learning_rate": 0.0015876772521604746, + "loss": 1.1889, + "step": 6147 + }, + { + "epoch": 0.5396073956844794, + "grad_norm": 0.0771484375, + "learning_rate": 0.0015872535924142176, + "loss": 1.1763, + "step": 6148 + }, + { + "epoch": 0.5396951652673818, + "grad_norm": 0.06396484375, + "learning_rate": 0.0015868299388607824, + "loss": 1.1695, + "step": 6149 + }, + { + "epoch": 0.5397829348502843, + "grad_norm": 0.07421875, + "learning_rate": 0.0015864062915419827, + "loss": 1.1694, + "step": 6150 + }, + { + "epoch": 0.5398707044331867, + "grad_norm": 0.06103515625, + "learning_rate": 0.00158598265049963, + "loss": 1.195, + "step": 6151 + }, + { + "epoch": 0.5399584740160892, + "grad_norm": 0.054931640625, + "learning_rate": 0.0015855590157755367, + "loss": 1.2528, + "step": 6152 + }, + { + "epoch": 0.5400462435989918, + "grad_norm": 0.0615234375, + "learning_rate": 0.0015851353874115131, + "loss": 1.2017, + "step": 6153 + }, + { + "epoch": 0.5401340131818942, + "grad_norm": 0.05810546875, + "learning_rate": 0.00158471176544937, + "loss": 1.1419, + "step": 6154 + }, + { + "epoch": 0.5402217827647967, + "grad_norm": 0.047607421875, + "learning_rate": 0.001584288149930918, + "loss": 1.1515, + "step": 6155 + }, + { + "epoch": 0.5403095523476992, + "grad_norm": 0.057861328125, + "learning_rate": 0.0015838645408979655, + "loss": 1.2526, + "step": 6156 + }, + { + "epoch": 0.5403973219306016, + "grad_norm": 0.06103515625, + "learning_rate": 0.0015834409383923202, + "loss": 1.163, + "step": 6157 + }, + { + "epoch": 0.5404850915135042, + "grad_norm": 0.05419921875, + "learning_rate": 0.001583017342455792, + "loss": 1.1863, + "step": 6158 + }, + { + "epoch": 0.5405728610964067, + "grad_norm": 0.087890625, + "learning_rate": 0.0015825937531301864, + "loss": 1.2369, + "step": 6159 + }, + { + "epoch": 0.5406606306793091, + "grad_norm": 0.056640625, + "learning_rate": 0.0015821701704573114, + "loss": 1.2365, + "step": 6160 + }, + { + "epoch": 0.5407484002622116, + "grad_norm": 0.07373046875, + "learning_rate": 0.0015817465944789715, + "loss": 1.1972, + "step": 6161 + }, + { + "epoch": 0.5408361698451141, + "grad_norm": 0.06298828125, + "learning_rate": 0.001581323025236973, + "loss": 1.1861, + "step": 6162 + }, + { + "epoch": 0.5409239394280166, + "grad_norm": 0.055908203125, + "learning_rate": 0.0015808994627731201, + "loss": 1.1823, + "step": 6163 + }, + { + "epoch": 0.5410117090109191, + "grad_norm": 0.054443359375, + "learning_rate": 0.001580475907129217, + "loss": 1.1791, + "step": 6164 + }, + { + "epoch": 0.5410994785938216, + "grad_norm": 0.08251953125, + "learning_rate": 0.0015800523583470662, + "loss": 1.2117, + "step": 6165 + }, + { + "epoch": 0.541187248176724, + "grad_norm": 0.059326171875, + "learning_rate": 0.0015796288164684714, + "loss": 1.1939, + "step": 6166 + }, + { + "epoch": 0.5412750177596265, + "grad_norm": 0.09326171875, + "learning_rate": 0.001579205281535233, + "loss": 1.204, + "step": 6167 + }, + { + "epoch": 0.5413627873425291, + "grad_norm": 0.059326171875, + "learning_rate": 0.0015787817535891544, + "loss": 1.2298, + "step": 6168 + }, + { + "epoch": 0.5414505569254315, + "grad_norm": 0.06884765625, + "learning_rate": 0.0015783582326720342, + "loss": 1.1736, + "step": 6169 + }, + { + "epoch": 0.541538326508334, + "grad_norm": 0.07080078125, + "learning_rate": 0.0015779347188256735, + "loss": 1.2245, + "step": 6170 + }, + { + "epoch": 0.5416260960912365, + "grad_norm": 0.07080078125, + "learning_rate": 0.0015775112120918705, + "loss": 1.2119, + "step": 6171 + }, + { + "epoch": 0.5417138656741389, + "grad_norm": 0.08837890625, + "learning_rate": 0.0015770877125124245, + "loss": 1.186, + "step": 6172 + }, + { + "epoch": 0.5418016352570415, + "grad_norm": 0.064453125, + "learning_rate": 0.0015766642201291321, + "loss": 1.1395, + "step": 6173 + }, + { + "epoch": 0.541889404839944, + "grad_norm": 0.0703125, + "learning_rate": 0.0015762407349837917, + "loss": 1.1755, + "step": 6174 + }, + { + "epoch": 0.5419771744228464, + "grad_norm": 0.08349609375, + "learning_rate": 0.0015758172571181985, + "loss": 1.2679, + "step": 6175 + }, + { + "epoch": 0.5420649440057489, + "grad_norm": 0.072265625, + "learning_rate": 0.001575393786574149, + "loss": 1.1841, + "step": 6176 + }, + { + "epoch": 0.5421527135886514, + "grad_norm": 0.1337890625, + "learning_rate": 0.0015749703233934366, + "loss": 1.2218, + "step": 6177 + }, + { + "epoch": 0.5422404831715539, + "grad_norm": 0.07421875, + "learning_rate": 0.001574546867617857, + "loss": 1.2051, + "step": 6178 + }, + { + "epoch": 0.5423282527544564, + "grad_norm": 0.1416015625, + "learning_rate": 0.0015741234192892025, + "loss": 1.1963, + "step": 6179 + }, + { + "epoch": 0.5424160223373589, + "grad_norm": 0.08984375, + "learning_rate": 0.001573699978449267, + "loss": 1.1433, + "step": 6180 + }, + { + "epoch": 0.5425037919202613, + "grad_norm": 0.058349609375, + "learning_rate": 0.0015732765451398414, + "loss": 1.1547, + "step": 6181 + }, + { + "epoch": 0.5425915615031638, + "grad_norm": 0.0810546875, + "learning_rate": 0.0015728531194027175, + "loss": 1.1695, + "step": 6182 + }, + { + "epoch": 0.5426793310860663, + "grad_norm": 0.08056640625, + "learning_rate": 0.0015724297012796851, + "loss": 1.1888, + "step": 6183 + }, + { + "epoch": 0.5427671006689688, + "grad_norm": 0.055419921875, + "learning_rate": 0.0015720062908125344, + "loss": 1.2037, + "step": 6184 + }, + { + "epoch": 0.5428548702518713, + "grad_norm": 0.068359375, + "learning_rate": 0.001571582888043054, + "loss": 1.2179, + "step": 6185 + }, + { + "epoch": 0.5429426398347738, + "grad_norm": 0.05859375, + "learning_rate": 0.0015711594930130329, + "loss": 1.1709, + "step": 6186 + }, + { + "epoch": 0.5430304094176762, + "grad_norm": 0.05810546875, + "learning_rate": 0.001570736105764257, + "loss": 1.165, + "step": 6187 + }, + { + "epoch": 0.5431181790005787, + "grad_norm": 0.055908203125, + "learning_rate": 0.0015703127263385142, + "loss": 1.2589, + "step": 6188 + }, + { + "epoch": 0.5432059485834813, + "grad_norm": 0.05029296875, + "learning_rate": 0.00156988935477759, + "loss": 1.1939, + "step": 6189 + }, + { + "epoch": 0.5432937181663837, + "grad_norm": 0.056640625, + "learning_rate": 0.0015694659911232695, + "loss": 1.1714, + "step": 6190 + }, + { + "epoch": 0.5433814877492862, + "grad_norm": 0.055419921875, + "learning_rate": 0.0015690426354173373, + "loss": 1.1842, + "step": 6191 + }, + { + "epoch": 0.5434692573321886, + "grad_norm": 0.06005859375, + "learning_rate": 0.0015686192877015764, + "loss": 1.2717, + "step": 6192 + }, + { + "epoch": 0.5435570269150911, + "grad_norm": 0.055908203125, + "learning_rate": 0.0015681959480177698, + "loss": 1.1981, + "step": 6193 + }, + { + "epoch": 0.5436447964979937, + "grad_norm": 0.05810546875, + "learning_rate": 0.0015677726164076995, + "loss": 1.2296, + "step": 6194 + }, + { + "epoch": 0.5437325660808962, + "grad_norm": 0.05224609375, + "learning_rate": 0.0015673492929131466, + "loss": 1.177, + "step": 6195 + }, + { + "epoch": 0.5438203356637986, + "grad_norm": 0.06298828125, + "learning_rate": 0.0015669259775758918, + "loss": 1.1738, + "step": 6196 + }, + { + "epoch": 0.5439081052467011, + "grad_norm": 0.064453125, + "learning_rate": 0.0015665026704377134, + "loss": 1.2296, + "step": 6197 + }, + { + "epoch": 0.5439958748296035, + "grad_norm": 0.06298828125, + "learning_rate": 0.0015660793715403915, + "loss": 1.2486, + "step": 6198 + }, + { + "epoch": 0.5440836444125061, + "grad_norm": 0.0654296875, + "learning_rate": 0.0015656560809257038, + "loss": 1.159, + "step": 6199 + }, + { + "epoch": 0.5441714139954086, + "grad_norm": 0.078125, + "learning_rate": 0.001565232798635427, + "loss": 1.1759, + "step": 6200 + }, + { + "epoch": 0.544259183578311, + "grad_norm": 0.06591796875, + "learning_rate": 0.0015648095247113379, + "loss": 1.1651, + "step": 6201 + }, + { + "epoch": 0.5443469531612135, + "grad_norm": 0.05517578125, + "learning_rate": 0.001564386259195211, + "loss": 1.1666, + "step": 6202 + }, + { + "epoch": 0.544434722744116, + "grad_norm": 0.05859375, + "learning_rate": 0.0015639630021288223, + "loss": 1.1602, + "step": 6203 + }, + { + "epoch": 0.5445224923270185, + "grad_norm": 0.05078125, + "learning_rate": 0.0015635397535539444, + "loss": 1.1816, + "step": 6204 + }, + { + "epoch": 0.544610261909921, + "grad_norm": 0.052734375, + "learning_rate": 0.0015631165135123507, + "loss": 1.206, + "step": 6205 + }, + { + "epoch": 0.5446980314928235, + "grad_norm": 0.0634765625, + "learning_rate": 0.0015626932820458136, + "loss": 1.2081, + "step": 6206 + }, + { + "epoch": 0.5447858010757259, + "grad_norm": 0.051513671875, + "learning_rate": 0.0015622700591961032, + "loss": 1.2119, + "step": 6207 + }, + { + "epoch": 0.5448735706586284, + "grad_norm": 0.10986328125, + "learning_rate": 0.0015618468450049917, + "loss": 1.1715, + "step": 6208 + }, + { + "epoch": 0.5449613402415309, + "grad_norm": 0.048828125, + "learning_rate": 0.0015614236395142477, + "loss": 1.1457, + "step": 6209 + }, + { + "epoch": 0.5450491098244334, + "grad_norm": 0.05126953125, + "learning_rate": 0.0015610004427656398, + "loss": 1.2001, + "step": 6210 + }, + { + "epoch": 0.5451368794073359, + "grad_norm": 0.07861328125, + "learning_rate": 0.0015605772548009365, + "loss": 1.182, + "step": 6211 + }, + { + "epoch": 0.5452246489902384, + "grad_norm": 0.07763671875, + "learning_rate": 0.001560154075661904, + "loss": 1.1821, + "step": 6212 + }, + { + "epoch": 0.5453124185731408, + "grad_norm": 0.056396484375, + "learning_rate": 0.0015597309053903088, + "loss": 1.1429, + "step": 6213 + }, + { + "epoch": 0.5454001881560433, + "grad_norm": 0.05224609375, + "learning_rate": 0.0015593077440279161, + "loss": 1.1407, + "step": 6214 + }, + { + "epoch": 0.5454879577389459, + "grad_norm": 0.056884765625, + "learning_rate": 0.0015588845916164901, + "loss": 1.1378, + "step": 6215 + }, + { + "epoch": 0.5455757273218483, + "grad_norm": 0.10546875, + "learning_rate": 0.0015584614481977943, + "loss": 1.2322, + "step": 6216 + }, + { + "epoch": 0.5456634969047508, + "grad_norm": 0.07080078125, + "learning_rate": 0.001558038313813591, + "loss": 1.1874, + "step": 6217 + }, + { + "epoch": 0.5457512664876533, + "grad_norm": 0.08203125, + "learning_rate": 0.0015576151885056428, + "loss": 1.1681, + "step": 6218 + }, + { + "epoch": 0.5458390360705557, + "grad_norm": 0.05029296875, + "learning_rate": 0.00155719207231571, + "loss": 1.1887, + "step": 6219 + }, + { + "epoch": 0.5459268056534583, + "grad_norm": 0.0830078125, + "learning_rate": 0.001556768965285552, + "loss": 1.1835, + "step": 6220 + }, + { + "epoch": 0.5460145752363608, + "grad_norm": 0.05859375, + "learning_rate": 0.001556345867456929, + "loss": 1.2334, + "step": 6221 + }, + { + "epoch": 0.5461023448192632, + "grad_norm": 0.0517578125, + "learning_rate": 0.0015559227788715976, + "loss": 1.1801, + "step": 6222 + }, + { + "epoch": 0.5461901144021657, + "grad_norm": 0.1103515625, + "learning_rate": 0.001555499699571316, + "loss": 1.2215, + "step": 6223 + }, + { + "epoch": 0.5462778839850682, + "grad_norm": 0.048095703125, + "learning_rate": 0.00155507662959784, + "loss": 1.2031, + "step": 6224 + }, + { + "epoch": 0.5463656535679707, + "grad_norm": 0.0654296875, + "learning_rate": 0.0015546535689929253, + "loss": 1.218, + "step": 6225 + }, + { + "epoch": 0.5464534231508732, + "grad_norm": 0.049072265625, + "learning_rate": 0.001554230517798326, + "loss": 1.1867, + "step": 6226 + }, + { + "epoch": 0.5465411927337757, + "grad_norm": 0.0625, + "learning_rate": 0.0015538074760557952, + "loss": 1.2693, + "step": 6227 + }, + { + "epoch": 0.5466289623166781, + "grad_norm": 0.047119140625, + "learning_rate": 0.0015533844438070862, + "loss": 1.1918, + "step": 6228 + }, + { + "epoch": 0.5467167318995806, + "grad_norm": 0.05078125, + "learning_rate": 0.0015529614210939503, + "loss": 1.2335, + "step": 6229 + }, + { + "epoch": 0.5468045014824832, + "grad_norm": 0.048583984375, + "learning_rate": 0.0015525384079581382, + "loss": 1.1971, + "step": 6230 + }, + { + "epoch": 0.5468922710653856, + "grad_norm": 0.050048828125, + "learning_rate": 0.0015521154044413998, + "loss": 1.1628, + "step": 6231 + }, + { + "epoch": 0.5469800406482881, + "grad_norm": 0.058837890625, + "learning_rate": 0.0015516924105854835, + "loss": 1.1257, + "step": 6232 + }, + { + "epoch": 0.5470678102311906, + "grad_norm": 0.05712890625, + "learning_rate": 0.0015512694264321373, + "loss": 1.1927, + "step": 6233 + }, + { + "epoch": 0.547155579814093, + "grad_norm": 0.0888671875, + "learning_rate": 0.0015508464520231078, + "loss": 1.1375, + "step": 6234 + }, + { + "epoch": 0.5472433493969955, + "grad_norm": 0.07177734375, + "learning_rate": 0.001550423487400142, + "loss": 1.1333, + "step": 6235 + }, + { + "epoch": 0.5473311189798981, + "grad_norm": 0.053955078125, + "learning_rate": 0.001550000532604983, + "loss": 1.2687, + "step": 6236 + }, + { + "epoch": 0.5474188885628005, + "grad_norm": 0.06787109375, + "learning_rate": 0.0015495775876793758, + "loss": 1.1878, + "step": 6237 + }, + { + "epoch": 0.547506658145703, + "grad_norm": 0.04931640625, + "learning_rate": 0.0015491546526650638, + "loss": 1.1995, + "step": 6238 + }, + { + "epoch": 0.5475944277286054, + "grad_norm": 0.07958984375, + "learning_rate": 0.0015487317276037882, + "loss": 1.2238, + "step": 6239 + }, + { + "epoch": 0.5476821973115079, + "grad_norm": 0.06494140625, + "learning_rate": 0.001548308812537291, + "loss": 1.2511, + "step": 6240 + }, + { + "epoch": 0.5477699668944105, + "grad_norm": 0.0517578125, + "learning_rate": 0.0015478859075073112, + "loss": 1.1773, + "step": 6241 + }, + { + "epoch": 0.547857736477313, + "grad_norm": 0.054443359375, + "learning_rate": 0.0015474630125555885, + "loss": 1.1703, + "step": 6242 + }, + { + "epoch": 0.5479455060602154, + "grad_norm": 0.091796875, + "learning_rate": 0.0015470401277238605, + "loss": 1.2217, + "step": 6243 + }, + { + "epoch": 0.5480332756431179, + "grad_norm": 0.09619140625, + "learning_rate": 0.0015466172530538645, + "loss": 1.1443, + "step": 6244 + }, + { + "epoch": 0.5481210452260203, + "grad_norm": 0.056396484375, + "learning_rate": 0.0015461943885873367, + "loss": 1.2284, + "step": 6245 + }, + { + "epoch": 0.5482088148089229, + "grad_norm": 0.04736328125, + "learning_rate": 0.001545771534366012, + "loss": 1.1882, + "step": 6246 + }, + { + "epoch": 0.5482965843918254, + "grad_norm": 0.052978515625, + "learning_rate": 0.001545348690431624, + "loss": 1.1761, + "step": 6247 + }, + { + "epoch": 0.5483843539747278, + "grad_norm": 0.0595703125, + "learning_rate": 0.0015449258568259068, + "loss": 1.1903, + "step": 6248 + }, + { + "epoch": 0.5484721235576303, + "grad_norm": 0.05029296875, + "learning_rate": 0.0015445030335905915, + "loss": 1.1807, + "step": 6249 + }, + { + "epoch": 0.5485598931405328, + "grad_norm": 0.06787109375, + "learning_rate": 0.0015440802207674098, + "loss": 1.1887, + "step": 6250 + }, + { + "epoch": 0.5486476627234353, + "grad_norm": 0.0732421875, + "learning_rate": 0.0015436574183980904, + "loss": 1.1804, + "step": 6251 + }, + { + "epoch": 0.5487354323063378, + "grad_norm": 0.0712890625, + "learning_rate": 0.0015432346265243635, + "loss": 1.2673, + "step": 6252 + }, + { + "epoch": 0.5488232018892403, + "grad_norm": 0.0712890625, + "learning_rate": 0.0015428118451879566, + "loss": 1.1062, + "step": 6253 + }, + { + "epoch": 0.5489109714721427, + "grad_norm": 0.060546875, + "learning_rate": 0.0015423890744305966, + "loss": 1.1398, + "step": 6254 + }, + { + "epoch": 0.5489987410550452, + "grad_norm": 0.0625, + "learning_rate": 0.0015419663142940084, + "loss": 1.1402, + "step": 6255 + }, + { + "epoch": 0.5490865106379478, + "grad_norm": 0.0537109375, + "learning_rate": 0.0015415435648199179, + "loss": 1.2258, + "step": 6256 + }, + { + "epoch": 0.5491742802208502, + "grad_norm": 0.060791015625, + "learning_rate": 0.0015411208260500487, + "loss": 1.2467, + "step": 6257 + }, + { + "epoch": 0.5492620498037527, + "grad_norm": 0.056396484375, + "learning_rate": 0.0015406980980261224, + "loss": 1.1528, + "step": 6258 + }, + { + "epoch": 0.5493498193866552, + "grad_norm": 0.0634765625, + "learning_rate": 0.0015402753807898621, + "loss": 1.1582, + "step": 6259 + }, + { + "epoch": 0.5494375889695576, + "grad_norm": 0.048828125, + "learning_rate": 0.0015398526743829874, + "loss": 1.1994, + "step": 6260 + }, + { + "epoch": 0.5495253585524602, + "grad_norm": 0.07421875, + "learning_rate": 0.0015394299788472176, + "loss": 1.2556, + "step": 6261 + }, + { + "epoch": 0.5496131281353627, + "grad_norm": 0.0673828125, + "learning_rate": 0.001539007294224272, + "loss": 1.1867, + "step": 6262 + }, + { + "epoch": 0.5497008977182651, + "grad_norm": 0.07470703125, + "learning_rate": 0.0015385846205558669, + "loss": 1.1549, + "step": 6263 + }, + { + "epoch": 0.5497886673011676, + "grad_norm": 0.078125, + "learning_rate": 0.001538161957883719, + "loss": 1.1977, + "step": 6264 + }, + { + "epoch": 0.5498764368840701, + "grad_norm": 0.059814453125, + "learning_rate": 0.001537739306249543, + "loss": 1.1624, + "step": 6265 + }, + { + "epoch": 0.5499642064669725, + "grad_norm": 0.055419921875, + "learning_rate": 0.001537316665695054, + "loss": 1.1715, + "step": 6266 + }, + { + "epoch": 0.5500519760498751, + "grad_norm": 0.0537109375, + "learning_rate": 0.0015368940362619635, + "loss": 1.2069, + "step": 6267 + }, + { + "epoch": 0.5501397456327776, + "grad_norm": 0.06591796875, + "learning_rate": 0.0015364714179919839, + "loss": 1.2612, + "step": 6268 + }, + { + "epoch": 0.55022751521568, + "grad_norm": 0.06103515625, + "learning_rate": 0.0015360488109268267, + "loss": 1.1255, + "step": 6269 + }, + { + "epoch": 0.5503152847985825, + "grad_norm": 0.0625, + "learning_rate": 0.001535626215108201, + "loss": 1.1788, + "step": 6270 + }, + { + "epoch": 0.550403054381485, + "grad_norm": 0.053466796875, + "learning_rate": 0.001535203630577815, + "loss": 1.211, + "step": 6271 + }, + { + "epoch": 0.5504908239643875, + "grad_norm": 0.0859375, + "learning_rate": 0.0015347810573773768, + "loss": 1.2242, + "step": 6272 + }, + { + "epoch": 0.55057859354729, + "grad_norm": 0.05029296875, + "learning_rate": 0.0015343584955485922, + "loss": 1.1567, + "step": 6273 + }, + { + "epoch": 0.5506663631301925, + "grad_norm": 0.08544921875, + "learning_rate": 0.0015339359451331666, + "loss": 1.1769, + "step": 6274 + }, + { + "epoch": 0.5507541327130949, + "grad_norm": 0.05615234375, + "learning_rate": 0.0015335134061728035, + "loss": 1.2169, + "step": 6275 + }, + { + "epoch": 0.5508419022959974, + "grad_norm": 0.052734375, + "learning_rate": 0.0015330908787092072, + "loss": 1.1668, + "step": 6276 + }, + { + "epoch": 0.5509296718789, + "grad_norm": 0.06982421875, + "learning_rate": 0.0015326683627840778, + "loss": 1.2519, + "step": 6277 + }, + { + "epoch": 0.5510174414618024, + "grad_norm": 0.049072265625, + "learning_rate": 0.0015322458584391167, + "loss": 1.1894, + "step": 6278 + }, + { + "epoch": 0.5511052110447049, + "grad_norm": 0.06884765625, + "learning_rate": 0.0015318233657160235, + "loss": 1.1694, + "step": 6279 + }, + { + "epoch": 0.5511929806276074, + "grad_norm": 0.05419921875, + "learning_rate": 0.001531400884656497, + "loss": 1.179, + "step": 6280 + }, + { + "epoch": 0.5512807502105098, + "grad_norm": 0.06396484375, + "learning_rate": 0.001530978415302233, + "loss": 1.2106, + "step": 6281 + }, + { + "epoch": 0.5513685197934124, + "grad_norm": 0.053466796875, + "learning_rate": 0.0015305559576949297, + "loss": 1.2047, + "step": 6282 + }, + { + "epoch": 0.5514562893763149, + "grad_norm": 0.0703125, + "learning_rate": 0.00153013351187628, + "loss": 1.1516, + "step": 6283 + }, + { + "epoch": 0.5515440589592173, + "grad_norm": 0.0625, + "learning_rate": 0.0015297110778879786, + "loss": 1.2292, + "step": 6284 + }, + { + "epoch": 0.5516318285421198, + "grad_norm": 0.055908203125, + "learning_rate": 0.0015292886557717177, + "loss": 1.1481, + "step": 6285 + }, + { + "epoch": 0.5517195981250222, + "grad_norm": 0.0849609375, + "learning_rate": 0.0015288662455691892, + "loss": 1.1705, + "step": 6286 + }, + { + "epoch": 0.5518073677079248, + "grad_norm": 0.05126953125, + "learning_rate": 0.0015284438473220825, + "loss": 1.1854, + "step": 6287 + }, + { + "epoch": 0.5518951372908273, + "grad_norm": 0.06298828125, + "learning_rate": 0.0015280214610720868, + "loss": 1.1233, + "step": 6288 + }, + { + "epoch": 0.5519829068737298, + "grad_norm": 0.048828125, + "learning_rate": 0.001527599086860891, + "loss": 1.1375, + "step": 6289 + }, + { + "epoch": 0.5520706764566322, + "grad_norm": 0.047607421875, + "learning_rate": 0.0015271767247301805, + "loss": 1.242, + "step": 6290 + }, + { + "epoch": 0.5521584460395347, + "grad_norm": 0.05517578125, + "learning_rate": 0.0015267543747216417, + "loss": 1.1905, + "step": 6291 + }, + { + "epoch": 0.5522462156224371, + "grad_norm": 0.06201171875, + "learning_rate": 0.0015263320368769583, + "loss": 1.2025, + "step": 6292 + }, + { + "epoch": 0.5523339852053397, + "grad_norm": 0.05615234375, + "learning_rate": 0.0015259097112378136, + "loss": 1.1838, + "step": 6293 + }, + { + "epoch": 0.5524217547882422, + "grad_norm": 0.123046875, + "learning_rate": 0.0015254873978458893, + "loss": 1.1738, + "step": 6294 + }, + { + "epoch": 0.5525095243711446, + "grad_norm": 0.051025390625, + "learning_rate": 0.001525065096742866, + "loss": 1.2225, + "step": 6295 + }, + { + "epoch": 0.5525972939540471, + "grad_norm": 0.10400390625, + "learning_rate": 0.0015246428079704237, + "loss": 1.2323, + "step": 6296 + }, + { + "epoch": 0.5526850635369496, + "grad_norm": 0.05078125, + "learning_rate": 0.00152422053157024, + "loss": 1.114, + "step": 6297 + }, + { + "epoch": 0.5527728331198521, + "grad_norm": 0.060302734375, + "learning_rate": 0.0015237982675839917, + "loss": 1.1743, + "step": 6298 + }, + { + "epoch": 0.5528606027027546, + "grad_norm": 0.061279296875, + "learning_rate": 0.0015233760160533558, + "loss": 1.2142, + "step": 6299 + }, + { + "epoch": 0.5529483722856571, + "grad_norm": 0.048095703125, + "learning_rate": 0.0015229537770200057, + "loss": 1.1613, + "step": 6300 + }, + { + "epoch": 0.5530361418685595, + "grad_norm": 0.08056640625, + "learning_rate": 0.0015225315505256153, + "loss": 1.1502, + "step": 6301 + }, + { + "epoch": 0.553123911451462, + "grad_norm": 0.0654296875, + "learning_rate": 0.0015221093366118562, + "loss": 1.1992, + "step": 6302 + }, + { + "epoch": 0.5532116810343646, + "grad_norm": 0.0771484375, + "learning_rate": 0.0015216871353204, + "loss": 1.1488, + "step": 6303 + }, + { + "epoch": 0.553299450617267, + "grad_norm": 0.08740234375, + "learning_rate": 0.0015212649466929153, + "loss": 1.2005, + "step": 6304 + }, + { + "epoch": 0.5533872202001695, + "grad_norm": 0.052001953125, + "learning_rate": 0.0015208427707710716, + "loss": 1.2089, + "step": 6305 + }, + { + "epoch": 0.553474989783072, + "grad_norm": 0.0869140625, + "learning_rate": 0.001520420607596535, + "loss": 1.1906, + "step": 6306 + }, + { + "epoch": 0.5535627593659744, + "grad_norm": 0.059326171875, + "learning_rate": 0.0015199984572109716, + "loss": 1.2153, + "step": 6307 + }, + { + "epoch": 0.553650528948877, + "grad_norm": 0.06298828125, + "learning_rate": 0.001519576319656046, + "loss": 1.2561, + "step": 6308 + }, + { + "epoch": 0.5537382985317795, + "grad_norm": 0.08935546875, + "learning_rate": 0.001519154194973422, + "loss": 1.1624, + "step": 6309 + }, + { + "epoch": 0.5538260681146819, + "grad_norm": 0.0654296875, + "learning_rate": 0.0015187320832047609, + "loss": 1.2236, + "step": 6310 + }, + { + "epoch": 0.5539138376975844, + "grad_norm": 0.07080078125, + "learning_rate": 0.001518309984391724, + "loss": 1.2115, + "step": 6311 + }, + { + "epoch": 0.5540016072804869, + "grad_norm": 0.049560546875, + "learning_rate": 0.0015178878985759705, + "loss": 1.1762, + "step": 6312 + }, + { + "epoch": 0.5540893768633894, + "grad_norm": 0.052734375, + "learning_rate": 0.0015174658257991588, + "loss": 1.1615, + "step": 6313 + }, + { + "epoch": 0.5541771464462919, + "grad_norm": 0.057373046875, + "learning_rate": 0.0015170437661029457, + "loss": 1.1731, + "step": 6314 + }, + { + "epoch": 0.5542649160291944, + "grad_norm": 0.056396484375, + "learning_rate": 0.0015166217195289866, + "loss": 1.231, + "step": 6315 + }, + { + "epoch": 0.5543526856120968, + "grad_norm": 0.05712890625, + "learning_rate": 0.0015161996861189362, + "loss": 1.2212, + "step": 6316 + }, + { + "epoch": 0.5544404551949993, + "grad_norm": 0.055908203125, + "learning_rate": 0.0015157776659144473, + "loss": 1.2218, + "step": 6317 + }, + { + "epoch": 0.5545282247779019, + "grad_norm": 0.049560546875, + "learning_rate": 0.0015153556589571713, + "loss": 1.1686, + "step": 6318 + }, + { + "epoch": 0.5546159943608043, + "grad_norm": 0.054443359375, + "learning_rate": 0.0015149336652887592, + "loss": 1.2171, + "step": 6319 + }, + { + "epoch": 0.5547037639437068, + "grad_norm": 0.05615234375, + "learning_rate": 0.0015145116849508598, + "loss": 1.2342, + "step": 6320 + }, + { + "epoch": 0.5547915335266093, + "grad_norm": 0.0615234375, + "learning_rate": 0.0015140897179851214, + "loss": 1.1894, + "step": 6321 + }, + { + "epoch": 0.5548793031095117, + "grad_norm": 0.0693359375, + "learning_rate": 0.0015136677644331897, + "loss": 1.1455, + "step": 6322 + }, + { + "epoch": 0.5549670726924142, + "grad_norm": 0.05859375, + "learning_rate": 0.0015132458243367107, + "loss": 1.1692, + "step": 6323 + }, + { + "epoch": 0.5550548422753168, + "grad_norm": 0.05615234375, + "learning_rate": 0.0015128238977373273, + "loss": 1.1627, + "step": 6324 + }, + { + "epoch": 0.5551426118582192, + "grad_norm": 0.052978515625, + "learning_rate": 0.0015124019846766827, + "loss": 1.1449, + "step": 6325 + }, + { + "epoch": 0.5552303814411217, + "grad_norm": 0.060791015625, + "learning_rate": 0.0015119800851964179, + "loss": 1.151, + "step": 6326 + }, + { + "epoch": 0.5553181510240242, + "grad_norm": 0.058837890625, + "learning_rate": 0.0015115581993381721, + "loss": 1.1691, + "step": 6327 + }, + { + "epoch": 0.5554059206069266, + "grad_norm": 0.05810546875, + "learning_rate": 0.001511136327143584, + "loss": 1.1054, + "step": 6328 + }, + { + "epoch": 0.5554936901898292, + "grad_norm": 0.07666015625, + "learning_rate": 0.0015107144686542916, + "loss": 1.149, + "step": 6329 + }, + { + "epoch": 0.5555814597727317, + "grad_norm": 0.052734375, + "learning_rate": 0.0015102926239119298, + "loss": 1.1962, + "step": 6330 + }, + { + "epoch": 0.5556692293556341, + "grad_norm": 0.06103515625, + "learning_rate": 0.0015098707929581331, + "loss": 1.1762, + "step": 6331 + }, + { + "epoch": 0.5557569989385366, + "grad_norm": 0.05615234375, + "learning_rate": 0.001509448975834535, + "loss": 1.2402, + "step": 6332 + }, + { + "epoch": 0.555844768521439, + "grad_norm": 0.0654296875, + "learning_rate": 0.0015090271725827665, + "loss": 1.2026, + "step": 6333 + }, + { + "epoch": 0.5559325381043416, + "grad_norm": 0.06298828125, + "learning_rate": 0.0015086053832444582, + "loss": 1.1607, + "step": 6334 + }, + { + "epoch": 0.5560203076872441, + "grad_norm": 0.056884765625, + "learning_rate": 0.0015081836078612398, + "loss": 1.1899, + "step": 6335 + }, + { + "epoch": 0.5561080772701466, + "grad_norm": 0.111328125, + "learning_rate": 0.0015077618464747373, + "loss": 1.1947, + "step": 6336 + }, + { + "epoch": 0.556195846853049, + "grad_norm": 0.054931640625, + "learning_rate": 0.0015073400991265785, + "loss": 1.1513, + "step": 6337 + }, + { + "epoch": 0.5562836164359515, + "grad_norm": 0.05029296875, + "learning_rate": 0.0015069183658583867, + "loss": 1.1301, + "step": 6338 + }, + { + "epoch": 0.556371386018854, + "grad_norm": 0.056884765625, + "learning_rate": 0.0015064966467117863, + "loss": 1.1245, + "step": 6339 + }, + { + "epoch": 0.5564591556017565, + "grad_norm": 0.052734375, + "learning_rate": 0.0015060749417283993, + "loss": 1.2306, + "step": 6340 + }, + { + "epoch": 0.556546925184659, + "grad_norm": 0.055908203125, + "learning_rate": 0.0015056532509498458, + "loss": 1.2147, + "step": 6341 + }, + { + "epoch": 0.5566346947675614, + "grad_norm": 0.07177734375, + "learning_rate": 0.0015052315744177455, + "loss": 1.166, + "step": 6342 + }, + { + "epoch": 0.5567224643504639, + "grad_norm": 0.06298828125, + "learning_rate": 0.001504809912173716, + "loss": 1.184, + "step": 6343 + }, + { + "epoch": 0.5568102339333665, + "grad_norm": 0.06591796875, + "learning_rate": 0.0015043882642593737, + "loss": 1.208, + "step": 6344 + }, + { + "epoch": 0.556898003516269, + "grad_norm": 0.04931640625, + "learning_rate": 0.0015039666307163334, + "loss": 1.1931, + "step": 6345 + }, + { + "epoch": 0.5569857730991714, + "grad_norm": 0.05126953125, + "learning_rate": 0.0015035450115862086, + "loss": 1.211, + "step": 6346 + }, + { + "epoch": 0.5570735426820739, + "grad_norm": 0.064453125, + "learning_rate": 0.001503123406910612, + "loss": 1.1789, + "step": 6347 + }, + { + "epoch": 0.5571613122649763, + "grad_norm": 0.06396484375, + "learning_rate": 0.0015027018167311536, + "loss": 1.2013, + "step": 6348 + }, + { + "epoch": 0.5572490818478788, + "grad_norm": 0.061767578125, + "learning_rate": 0.0015022802410894435, + "loss": 1.2266, + "step": 6349 + }, + { + "epoch": 0.5573368514307814, + "grad_norm": 0.064453125, + "learning_rate": 0.001501858680027089, + "loss": 1.14, + "step": 6350 + }, + { + "epoch": 0.5574246210136838, + "grad_norm": 0.052001953125, + "learning_rate": 0.0015014371335856965, + "loss": 1.2315, + "step": 6351 + }, + { + "epoch": 0.5575123905965863, + "grad_norm": 0.0654296875, + "learning_rate": 0.0015010156018068713, + "loss": 1.1814, + "step": 6352 + }, + { + "epoch": 0.5576001601794888, + "grad_norm": 0.048828125, + "learning_rate": 0.0015005940847322167, + "loss": 1.2159, + "step": 6353 + }, + { + "epoch": 0.5576879297623912, + "grad_norm": 0.051025390625, + "learning_rate": 0.0015001725824033347, + "loss": 1.208, + "step": 6354 + }, + { + "epoch": 0.5577756993452938, + "grad_norm": 0.0634765625, + "learning_rate": 0.001499751094861826, + "loss": 1.1614, + "step": 6355 + }, + { + "epoch": 0.5578634689281963, + "grad_norm": 0.0517578125, + "learning_rate": 0.0014993296221492895, + "loss": 1.2138, + "step": 6356 + }, + { + "epoch": 0.5579512385110987, + "grad_norm": 0.06494140625, + "learning_rate": 0.0014989081643073234, + "loss": 1.1572, + "step": 6357 + }, + { + "epoch": 0.5580390080940012, + "grad_norm": 0.06298828125, + "learning_rate": 0.0014984867213775229, + "loss": 1.1705, + "step": 6358 + }, + { + "epoch": 0.5581267776769037, + "grad_norm": 0.058349609375, + "learning_rate": 0.0014980652934014841, + "loss": 1.2178, + "step": 6359 + }, + { + "epoch": 0.5582145472598062, + "grad_norm": 0.064453125, + "learning_rate": 0.0014976438804208, + "loss": 1.1886, + "step": 6360 + }, + { + "epoch": 0.5583023168427087, + "grad_norm": 0.06982421875, + "learning_rate": 0.0014972224824770614, + "loss": 1.1841, + "step": 6361 + }, + { + "epoch": 0.5583900864256112, + "grad_norm": 0.05810546875, + "learning_rate": 0.0014968010996118596, + "loss": 1.1725, + "step": 6362 + }, + { + "epoch": 0.5584778560085136, + "grad_norm": 0.05322265625, + "learning_rate": 0.0014963797318667833, + "loss": 1.1493, + "step": 6363 + }, + { + "epoch": 0.5585656255914161, + "grad_norm": 0.052001953125, + "learning_rate": 0.0014959583792834197, + "loss": 1.1721, + "step": 6364 + }, + { + "epoch": 0.5586533951743187, + "grad_norm": 0.068359375, + "learning_rate": 0.0014955370419033537, + "loss": 1.2012, + "step": 6365 + }, + { + "epoch": 0.5587411647572211, + "grad_norm": 0.05908203125, + "learning_rate": 0.0014951157197681715, + "loss": 1.1987, + "step": 6366 + }, + { + "epoch": 0.5588289343401236, + "grad_norm": 0.09521484375, + "learning_rate": 0.0014946944129194545, + "loss": 1.1729, + "step": 6367 + }, + { + "epoch": 0.5589167039230261, + "grad_norm": 0.051025390625, + "learning_rate": 0.001494273121398784, + "loss": 1.1587, + "step": 6368 + }, + { + "epoch": 0.5590044735059285, + "grad_norm": 0.078125, + "learning_rate": 0.0014938518452477408, + "loss": 1.1279, + "step": 6369 + }, + { + "epoch": 0.5590922430888311, + "grad_norm": 0.1162109375, + "learning_rate": 0.0014934305845079024, + "loss": 1.2322, + "step": 6370 + }, + { + "epoch": 0.5591800126717336, + "grad_norm": 0.0751953125, + "learning_rate": 0.0014930093392208454, + "loss": 1.1739, + "step": 6371 + }, + { + "epoch": 0.559267782254636, + "grad_norm": 0.1015625, + "learning_rate": 0.001492588109428146, + "loss": 1.2434, + "step": 6372 + }, + { + "epoch": 0.5593555518375385, + "grad_norm": 0.068359375, + "learning_rate": 0.0014921668951713774, + "loss": 1.2339, + "step": 6373 + }, + { + "epoch": 0.559443321420441, + "grad_norm": 0.09521484375, + "learning_rate": 0.0014917456964921119, + "loss": 1.1908, + "step": 6374 + }, + { + "epoch": 0.5595310910033434, + "grad_norm": 0.1142578125, + "learning_rate": 0.0014913245134319194, + "loss": 1.1935, + "step": 6375 + }, + { + "epoch": 0.559618860586246, + "grad_norm": 0.0654296875, + "learning_rate": 0.0014909033460323699, + "loss": 1.1983, + "step": 6376 + }, + { + "epoch": 0.5597066301691485, + "grad_norm": 0.10791015625, + "learning_rate": 0.0014904821943350307, + "loss": 1.2365, + "step": 6377 + }, + { + "epoch": 0.5597943997520509, + "grad_norm": 0.0751953125, + "learning_rate": 0.0014900610583814676, + "loss": 1.1666, + "step": 6378 + }, + { + "epoch": 0.5598821693349534, + "grad_norm": 0.068359375, + "learning_rate": 0.0014896399382132448, + "loss": 1.1454, + "step": 6379 + }, + { + "epoch": 0.5599699389178558, + "grad_norm": 0.1318359375, + "learning_rate": 0.001489218833871926, + "loss": 1.2563, + "step": 6380 + }, + { + "epoch": 0.5600577085007584, + "grad_norm": 0.05419921875, + "learning_rate": 0.001488797745399072, + "loss": 1.2089, + "step": 6381 + }, + { + "epoch": 0.5601454780836609, + "grad_norm": 0.08544921875, + "learning_rate": 0.0014883766728362427, + "loss": 1.1981, + "step": 6382 + }, + { + "epoch": 0.5602332476665633, + "grad_norm": 0.076171875, + "learning_rate": 0.0014879556162249964, + "loss": 1.2586, + "step": 6383 + }, + { + "epoch": 0.5603210172494658, + "grad_norm": 0.058349609375, + "learning_rate": 0.0014875345756068896, + "loss": 1.23, + "step": 6384 + }, + { + "epoch": 0.5604087868323683, + "grad_norm": 0.068359375, + "learning_rate": 0.0014871135510234775, + "loss": 1.181, + "step": 6385 + }, + { + "epoch": 0.5604965564152709, + "grad_norm": 0.091796875, + "learning_rate": 0.0014866925425163133, + "loss": 1.1506, + "step": 6386 + }, + { + "epoch": 0.5605843259981733, + "grad_norm": 0.056396484375, + "learning_rate": 0.0014862715501269487, + "loss": 1.1312, + "step": 6387 + }, + { + "epoch": 0.5606720955810758, + "grad_norm": 0.07373046875, + "learning_rate": 0.0014858505738969345, + "loss": 1.2007, + "step": 6388 + }, + { + "epoch": 0.5607598651639782, + "grad_norm": 0.0537109375, + "learning_rate": 0.001485429613867819, + "loss": 1.1438, + "step": 6389 + }, + { + "epoch": 0.5608476347468807, + "grad_norm": 0.064453125, + "learning_rate": 0.0014850086700811493, + "loss": 1.2252, + "step": 6390 + }, + { + "epoch": 0.5609354043297833, + "grad_norm": 0.05322265625, + "learning_rate": 0.0014845877425784713, + "loss": 1.1821, + "step": 6391 + }, + { + "epoch": 0.5610231739126857, + "grad_norm": 0.0810546875, + "learning_rate": 0.0014841668314013285, + "loss": 1.1809, + "step": 6392 + }, + { + "epoch": 0.5611109434955882, + "grad_norm": 0.11279296875, + "learning_rate": 0.0014837459365912636, + "loss": 1.1603, + "step": 6393 + }, + { + "epoch": 0.5611987130784907, + "grad_norm": 0.059326171875, + "learning_rate": 0.0014833250581898164, + "loss": 1.1524, + "step": 6394 + }, + { + "epoch": 0.5612864826613931, + "grad_norm": 0.107421875, + "learning_rate": 0.001482904196238527, + "loss": 1.2611, + "step": 6395 + }, + { + "epoch": 0.5613742522442957, + "grad_norm": 0.09814453125, + "learning_rate": 0.0014824833507789319, + "loss": 1.1781, + "step": 6396 + }, + { + "epoch": 0.5614620218271982, + "grad_norm": 0.06787109375, + "learning_rate": 0.0014820625218525672, + "loss": 1.1606, + "step": 6397 + }, + { + "epoch": 0.5615497914101006, + "grad_norm": 0.06982421875, + "learning_rate": 0.0014816417095009674, + "loss": 1.2038, + "step": 6398 + }, + { + "epoch": 0.5616375609930031, + "grad_norm": 0.07666015625, + "learning_rate": 0.0014812209137656644, + "loss": 1.1749, + "step": 6399 + }, + { + "epoch": 0.5617253305759056, + "grad_norm": 0.06298828125, + "learning_rate": 0.001480800134688189, + "loss": 1.227, + "step": 6400 + }, + { + "epoch": 0.5618131001588081, + "grad_norm": 0.0908203125, + "learning_rate": 0.0014803793723100716, + "loss": 1.2232, + "step": 6401 + }, + { + "epoch": 0.5619008697417106, + "grad_norm": 0.10205078125, + "learning_rate": 0.0014799586266728386, + "loss": 1.2032, + "step": 6402 + }, + { + "epoch": 0.5619886393246131, + "grad_norm": 0.0595703125, + "learning_rate": 0.0014795378978180167, + "loss": 1.1449, + "step": 6403 + }, + { + "epoch": 0.5620764089075155, + "grad_norm": 0.05810546875, + "learning_rate": 0.0014791171857871297, + "loss": 1.1698, + "step": 6404 + }, + { + "epoch": 0.562164178490418, + "grad_norm": 0.06201171875, + "learning_rate": 0.0014786964906217, + "loss": 1.2111, + "step": 6405 + }, + { + "epoch": 0.5622519480733205, + "grad_norm": 0.06298828125, + "learning_rate": 0.0014782758123632492, + "loss": 1.1343, + "step": 6406 + }, + { + "epoch": 0.562339717656223, + "grad_norm": 0.061279296875, + "learning_rate": 0.0014778551510532963, + "loss": 1.2124, + "step": 6407 + }, + { + "epoch": 0.5624274872391255, + "grad_norm": 0.054931640625, + "learning_rate": 0.0014774345067333585, + "loss": 1.1831, + "step": 6408 + }, + { + "epoch": 0.562515256822028, + "grad_norm": 0.06103515625, + "learning_rate": 0.0014770138794449519, + "loss": 1.2364, + "step": 6409 + }, + { + "epoch": 0.5626030264049304, + "grad_norm": 0.06982421875, + "learning_rate": 0.0014765932692295909, + "loss": 1.2397, + "step": 6410 + }, + { + "epoch": 0.5626907959878329, + "grad_norm": 0.050537109375, + "learning_rate": 0.0014761726761287888, + "loss": 1.1474, + "step": 6411 + }, + { + "epoch": 0.5627785655707355, + "grad_norm": 0.09130859375, + "learning_rate": 0.0014757521001840554, + "loss": 1.1746, + "step": 6412 + }, + { + "epoch": 0.5628663351536379, + "grad_norm": 0.0712890625, + "learning_rate": 0.0014753315414369004, + "loss": 1.2141, + "step": 6413 + }, + { + "epoch": 0.5629541047365404, + "grad_norm": 0.052490234375, + "learning_rate": 0.001474910999928831, + "loss": 1.1941, + "step": 6414 + }, + { + "epoch": 0.5630418743194429, + "grad_norm": 0.0888671875, + "learning_rate": 0.001474490475701353, + "loss": 1.2217, + "step": 6415 + }, + { + "epoch": 0.5631296439023453, + "grad_norm": 0.054443359375, + "learning_rate": 0.0014740699687959707, + "loss": 1.1363, + "step": 6416 + }, + { + "epoch": 0.5632174134852479, + "grad_norm": 0.052978515625, + "learning_rate": 0.0014736494792541865, + "loss": 1.131, + "step": 6417 + }, + { + "epoch": 0.5633051830681504, + "grad_norm": 0.055419921875, + "learning_rate": 0.0014732290071175005, + "loss": 1.1526, + "step": 6418 + }, + { + "epoch": 0.5633929526510528, + "grad_norm": 0.078125, + "learning_rate": 0.001472808552427412, + "loss": 1.2008, + "step": 6419 + }, + { + "epoch": 0.5634807222339553, + "grad_norm": 0.0498046875, + "learning_rate": 0.0014723881152254187, + "loss": 1.1515, + "step": 6420 + }, + { + "epoch": 0.5635684918168578, + "grad_norm": 0.06787109375, + "learning_rate": 0.0014719676955530154, + "loss": 1.2366, + "step": 6421 + }, + { + "epoch": 0.5636562613997603, + "grad_norm": 0.0810546875, + "learning_rate": 0.0014715472934516965, + "loss": 1.1734, + "step": 6422 + }, + { + "epoch": 0.5637440309826628, + "grad_norm": 0.055419921875, + "learning_rate": 0.0014711269089629532, + "loss": 1.1645, + "step": 6423 + }, + { + "epoch": 0.5638318005655653, + "grad_norm": 0.0595703125, + "learning_rate": 0.0014707065421282763, + "loss": 1.2254, + "step": 6424 + }, + { + "epoch": 0.5639195701484677, + "grad_norm": 0.056396484375, + "learning_rate": 0.0014702861929891547, + "loss": 1.2054, + "step": 6425 + }, + { + "epoch": 0.5640073397313702, + "grad_norm": 0.083984375, + "learning_rate": 0.0014698658615870741, + "loss": 1.2024, + "step": 6426 + }, + { + "epoch": 0.5640951093142728, + "grad_norm": 0.06982421875, + "learning_rate": 0.001469445547963521, + "loss": 1.2008, + "step": 6427 + }, + { + "epoch": 0.5641828788971752, + "grad_norm": 0.060546875, + "learning_rate": 0.0014690252521599772, + "loss": 1.1722, + "step": 6428 + }, + { + "epoch": 0.5642706484800777, + "grad_norm": 0.07275390625, + "learning_rate": 0.0014686049742179247, + "loss": 1.1765, + "step": 6429 + }, + { + "epoch": 0.5643584180629801, + "grad_norm": 0.1083984375, + "learning_rate": 0.001468184714178844, + "loss": 1.1895, + "step": 6430 + }, + { + "epoch": 0.5644461876458826, + "grad_norm": 0.0751953125, + "learning_rate": 0.0014677644720842125, + "loss": 1.1583, + "step": 6431 + }, + { + "epoch": 0.5645339572287851, + "grad_norm": 0.0849609375, + "learning_rate": 0.0014673442479755069, + "loss": 1.146, + "step": 6432 + }, + { + "epoch": 0.5646217268116877, + "grad_norm": 0.0556640625, + "learning_rate": 0.0014669240418942009, + "loss": 1.1055, + "step": 6433 + }, + { + "epoch": 0.5647094963945901, + "grad_norm": 0.05517578125, + "learning_rate": 0.0014665038538817675, + "loss": 1.1772, + "step": 6434 + }, + { + "epoch": 0.5647972659774926, + "grad_norm": 0.08203125, + "learning_rate": 0.001466083683979678, + "loss": 1.2191, + "step": 6435 + }, + { + "epoch": 0.564885035560395, + "grad_norm": 0.062255859375, + "learning_rate": 0.0014656635322294008, + "loss": 1.1748, + "step": 6436 + }, + { + "epoch": 0.5649728051432975, + "grad_norm": 0.06884765625, + "learning_rate": 0.0014652433986724039, + "loss": 1.1954, + "step": 6437 + }, + { + "epoch": 0.5650605747262001, + "grad_norm": 0.09912109375, + "learning_rate": 0.0014648232833501524, + "loss": 1.1562, + "step": 6438 + }, + { + "epoch": 0.5651483443091025, + "grad_norm": 0.06298828125, + "learning_rate": 0.00146440318630411, + "loss": 1.1923, + "step": 6439 + }, + { + "epoch": 0.565236113892005, + "grad_norm": 0.055419921875, + "learning_rate": 0.001463983107575739, + "loss": 1.1443, + "step": 6440 + }, + { + "epoch": 0.5653238834749075, + "grad_norm": 0.1142578125, + "learning_rate": 0.0014635630472064987, + "loss": 1.1385, + "step": 6441 + }, + { + "epoch": 0.5654116530578099, + "grad_norm": 0.0625, + "learning_rate": 0.0014631430052378486, + "loss": 1.1702, + "step": 6442 + }, + { + "epoch": 0.5654994226407125, + "grad_norm": 0.05078125, + "learning_rate": 0.0014627229817112443, + "loss": 1.1109, + "step": 6443 + }, + { + "epoch": 0.565587192223615, + "grad_norm": 0.0859375, + "learning_rate": 0.0014623029766681404, + "loss": 1.2068, + "step": 6444 + }, + { + "epoch": 0.5656749618065174, + "grad_norm": 0.06640625, + "learning_rate": 0.0014618829901499903, + "loss": 1.1934, + "step": 6445 + }, + { + "epoch": 0.5657627313894199, + "grad_norm": 0.08837890625, + "learning_rate": 0.001461463022198245, + "loss": 1.1864, + "step": 6446 + }, + { + "epoch": 0.5658505009723224, + "grad_norm": 0.05615234375, + "learning_rate": 0.001461043072854353, + "loss": 1.2161, + "step": 6447 + }, + { + "epoch": 0.5659382705552249, + "grad_norm": 0.051513671875, + "learning_rate": 0.001460623142159762, + "loss": 1.1406, + "step": 6448 + }, + { + "epoch": 0.5660260401381274, + "grad_norm": 0.051513671875, + "learning_rate": 0.0014602032301559175, + "loss": 1.1179, + "step": 6449 + }, + { + "epoch": 0.5661138097210299, + "grad_norm": 0.050048828125, + "learning_rate": 0.0014597833368842636, + "loss": 1.1474, + "step": 6450 + }, + { + "epoch": 0.5662015793039323, + "grad_norm": 0.080078125, + "learning_rate": 0.0014593634623862413, + "loss": 1.1589, + "step": 6451 + }, + { + "epoch": 0.5662893488868348, + "grad_norm": 0.053955078125, + "learning_rate": 0.0014589436067032912, + "loss": 1.1562, + "step": 6452 + }, + { + "epoch": 0.5663771184697374, + "grad_norm": 0.09228515625, + "learning_rate": 0.001458523769876851, + "loss": 1.1687, + "step": 6453 + }, + { + "epoch": 0.5664648880526398, + "grad_norm": 0.08251953125, + "learning_rate": 0.0014581039519483573, + "loss": 1.1775, + "step": 6454 + }, + { + "epoch": 0.5665526576355423, + "grad_norm": 0.08056640625, + "learning_rate": 0.0014576841529592441, + "loss": 1.1994, + "step": 6455 + }, + { + "epoch": 0.5666404272184448, + "grad_norm": 0.05224609375, + "learning_rate": 0.0014572643729509442, + "loss": 1.2083, + "step": 6456 + }, + { + "epoch": 0.5667281968013472, + "grad_norm": 0.068359375, + "learning_rate": 0.001456844611964888, + "loss": 1.2278, + "step": 6457 + }, + { + "epoch": 0.5668159663842498, + "grad_norm": 0.05126953125, + "learning_rate": 0.0014564248700425046, + "loss": 1.1976, + "step": 6458 + }, + { + "epoch": 0.5669037359671523, + "grad_norm": 0.06884765625, + "learning_rate": 0.0014560051472252192, + "loss": 1.1578, + "step": 6459 + }, + { + "epoch": 0.5669915055500547, + "grad_norm": 0.057373046875, + "learning_rate": 0.0014555854435544596, + "loss": 1.1847, + "step": 6460 + }, + { + "epoch": 0.5670792751329572, + "grad_norm": 0.06884765625, + "learning_rate": 0.001455165759071647, + "loss": 1.1117, + "step": 6461 + }, + { + "epoch": 0.5671670447158597, + "grad_norm": 0.07373046875, + "learning_rate": 0.0014547460938182032, + "loss": 1.2152, + "step": 6462 + }, + { + "epoch": 0.5672548142987621, + "grad_norm": 0.050048828125, + "learning_rate": 0.0014543264478355474, + "loss": 1.2081, + "step": 6463 + }, + { + "epoch": 0.5673425838816647, + "grad_norm": 0.10888671875, + "learning_rate": 0.001453906821165097, + "loss": 1.1085, + "step": 6464 + }, + { + "epoch": 0.5674303534645672, + "grad_norm": 0.07177734375, + "learning_rate": 0.001453487213848267, + "loss": 1.2243, + "step": 6465 + }, + { + "epoch": 0.5675181230474696, + "grad_norm": 0.0791015625, + "learning_rate": 0.0014530676259264723, + "loss": 1.1297, + "step": 6466 + }, + { + "epoch": 0.5676058926303721, + "grad_norm": 0.1201171875, + "learning_rate": 0.0014526480574411228, + "loss": 1.1804, + "step": 6467 + }, + { + "epoch": 0.5676936622132746, + "grad_norm": 0.05126953125, + "learning_rate": 0.0014522285084336297, + "loss": 1.1649, + "step": 6468 + }, + { + "epoch": 0.5677814317961771, + "grad_norm": 0.08984375, + "learning_rate": 0.0014518089789454, + "loss": 1.1792, + "step": 6469 + }, + { + "epoch": 0.5678692013790796, + "grad_norm": 0.07666015625, + "learning_rate": 0.0014513894690178395, + "loss": 1.123, + "step": 6470 + }, + { + "epoch": 0.567956970961982, + "grad_norm": 0.0556640625, + "learning_rate": 0.0014509699786923532, + "loss": 1.2228, + "step": 6471 + }, + { + "epoch": 0.5680447405448845, + "grad_norm": 0.06689453125, + "learning_rate": 0.0014505505080103422, + "loss": 1.1719, + "step": 6472 + }, + { + "epoch": 0.568132510127787, + "grad_norm": 0.06396484375, + "learning_rate": 0.0014501310570132068, + "loss": 1.1645, + "step": 6473 + }, + { + "epoch": 0.5682202797106896, + "grad_norm": 0.054443359375, + "learning_rate": 0.0014497116257423453, + "loss": 1.1813, + "step": 6474 + }, + { + "epoch": 0.568308049293592, + "grad_norm": 0.055419921875, + "learning_rate": 0.001449292214239154, + "loss": 1.2241, + "step": 6475 + }, + { + "epoch": 0.5683958188764945, + "grad_norm": 0.059326171875, + "learning_rate": 0.0014488728225450272, + "loss": 1.2724, + "step": 6476 + }, + { + "epoch": 0.568483588459397, + "grad_norm": 0.0751953125, + "learning_rate": 0.0014484534507013564, + "loss": 1.1721, + "step": 6477 + }, + { + "epoch": 0.5685713580422994, + "grad_norm": 0.06591796875, + "learning_rate": 0.001448034098749533, + "loss": 1.2187, + "step": 6478 + }, + { + "epoch": 0.568659127625202, + "grad_norm": 0.06396484375, + "learning_rate": 0.0014476147667309444, + "loss": 1.1692, + "step": 6479 + }, + { + "epoch": 0.5687468972081045, + "grad_norm": 0.09619140625, + "learning_rate": 0.0014471954546869778, + "loss": 1.2007, + "step": 6480 + }, + { + "epoch": 0.5688346667910069, + "grad_norm": 0.0537109375, + "learning_rate": 0.0014467761626590179, + "loss": 1.1827, + "step": 6481 + }, + { + "epoch": 0.5689224363739094, + "grad_norm": 0.0908203125, + "learning_rate": 0.0014463568906884457, + "loss": 1.1506, + "step": 6482 + }, + { + "epoch": 0.5690102059568118, + "grad_norm": 0.0751953125, + "learning_rate": 0.0014459376388166435, + "loss": 1.2087, + "step": 6483 + }, + { + "epoch": 0.5690979755397144, + "grad_norm": 0.061279296875, + "learning_rate": 0.0014455184070849884, + "loss": 1.1423, + "step": 6484 + }, + { + "epoch": 0.5691857451226169, + "grad_norm": 0.0830078125, + "learning_rate": 0.0014450991955348572, + "loss": 1.153, + "step": 6485 + }, + { + "epoch": 0.5692735147055193, + "grad_norm": 0.05712890625, + "learning_rate": 0.0014446800042076252, + "loss": 1.1855, + "step": 6486 + }, + { + "epoch": 0.5693612842884218, + "grad_norm": 0.050537109375, + "learning_rate": 0.001444260833144664, + "loss": 1.1741, + "step": 6487 + }, + { + "epoch": 0.5694490538713243, + "grad_norm": 0.10888671875, + "learning_rate": 0.001443841682387345, + "loss": 1.2187, + "step": 6488 + }, + { + "epoch": 0.5695368234542267, + "grad_norm": 0.08642578125, + "learning_rate": 0.0014434225519770357, + "loss": 1.1736, + "step": 6489 + }, + { + "epoch": 0.5696245930371293, + "grad_norm": 0.080078125, + "learning_rate": 0.001443003441955103, + "loss": 1.2535, + "step": 6490 + }, + { + "epoch": 0.5697123626200318, + "grad_norm": 0.076171875, + "learning_rate": 0.0014425843523629119, + "loss": 1.1821, + "step": 6491 + }, + { + "epoch": 0.5698001322029342, + "grad_norm": 0.05224609375, + "learning_rate": 0.0014421652832418246, + "loss": 1.174, + "step": 6492 + }, + { + "epoch": 0.5698879017858367, + "grad_norm": 0.06005859375, + "learning_rate": 0.0014417462346332014, + "loss": 1.1698, + "step": 6493 + }, + { + "epoch": 0.5699756713687392, + "grad_norm": 0.060546875, + "learning_rate": 0.0014413272065784007, + "loss": 1.2362, + "step": 6494 + }, + { + "epoch": 0.5700634409516417, + "grad_norm": 0.05126953125, + "learning_rate": 0.001440908199118779, + "loss": 1.1245, + "step": 6495 + }, + { + "epoch": 0.5701512105345442, + "grad_norm": 0.054443359375, + "learning_rate": 0.001440489212295691, + "loss": 1.1902, + "step": 6496 + }, + { + "epoch": 0.5702389801174467, + "grad_norm": 0.07470703125, + "learning_rate": 0.0014400702461504888, + "loss": 1.1254, + "step": 6497 + }, + { + "epoch": 0.5703267497003491, + "grad_norm": 0.06201171875, + "learning_rate": 0.0014396513007245224, + "loss": 1.1656, + "step": 6498 + }, + { + "epoch": 0.5704145192832516, + "grad_norm": 0.0810546875, + "learning_rate": 0.0014392323760591401, + "loss": 1.1992, + "step": 6499 + }, + { + "epoch": 0.5705022888661542, + "grad_norm": 0.05029296875, + "learning_rate": 0.001438813472195688, + "loss": 1.1148, + "step": 6500 + }, + { + "epoch": 0.5705022888661542, + "eval_loss": 1.1722602844238281, + "eval_runtime": 437.7292, + "eval_samples_per_second": 33.674, + "eval_steps_per_second": 8.418, + "step": 6500 + }, + { + "epoch": 0.5705900584490566, + "grad_norm": 0.0615234375, + "learning_rate": 0.0014383945891755113, + "loss": 1.187, + "step": 6501 + }, + { + "epoch": 0.5706778280319591, + "grad_norm": 0.06396484375, + "learning_rate": 0.0014379757270399512, + "loss": 1.1278, + "step": 6502 + }, + { + "epoch": 0.5707655976148616, + "grad_norm": 0.05029296875, + "learning_rate": 0.001437556885830348, + "loss": 1.1504, + "step": 6503 + }, + { + "epoch": 0.570853367197764, + "grad_norm": 0.06103515625, + "learning_rate": 0.0014371380655880397, + "loss": 1.1369, + "step": 6504 + }, + { + "epoch": 0.5709411367806666, + "grad_norm": 0.052490234375, + "learning_rate": 0.0014367192663543619, + "loss": 1.1784, + "step": 6505 + }, + { + "epoch": 0.5710289063635691, + "grad_norm": 0.052978515625, + "learning_rate": 0.0014363004881706484, + "loss": 1.2018, + "step": 6506 + }, + { + "epoch": 0.5711166759464715, + "grad_norm": 0.048095703125, + "learning_rate": 0.0014358817310782318, + "loss": 1.188, + "step": 6507 + }, + { + "epoch": 0.571204445529374, + "grad_norm": 0.07861328125, + "learning_rate": 0.00143546299511844, + "loss": 1.1936, + "step": 6508 + }, + { + "epoch": 0.5712922151122765, + "grad_norm": 0.05517578125, + "learning_rate": 0.0014350442803326027, + "loss": 1.1837, + "step": 6509 + }, + { + "epoch": 0.571379984695179, + "grad_norm": 0.06640625, + "learning_rate": 0.0014346255867620434, + "loss": 1.1955, + "step": 6510 + }, + { + "epoch": 0.5714677542780815, + "grad_norm": 0.0947265625, + "learning_rate": 0.0014342069144480873, + "loss": 1.195, + "step": 6511 + }, + { + "epoch": 0.571555523860984, + "grad_norm": 0.04736328125, + "learning_rate": 0.0014337882634320545, + "loss": 1.1242, + "step": 6512 + }, + { + "epoch": 0.5716432934438864, + "grad_norm": 0.08251953125, + "learning_rate": 0.001433369633755265, + "loss": 1.2227, + "step": 6513 + }, + { + "epoch": 0.5717310630267889, + "grad_norm": 0.054443359375, + "learning_rate": 0.001432951025459035, + "loss": 1.1563, + "step": 6514 + }, + { + "epoch": 0.5718188326096915, + "grad_norm": 0.06298828125, + "learning_rate": 0.0014325324385846805, + "loss": 1.1595, + "step": 6515 + }, + { + "epoch": 0.5719066021925939, + "grad_norm": 0.0849609375, + "learning_rate": 0.0014321138731735136, + "loss": 1.2171, + "step": 6516 + }, + { + "epoch": 0.5719943717754964, + "grad_norm": 0.08056640625, + "learning_rate": 0.0014316953292668453, + "loss": 1.2011, + "step": 6517 + }, + { + "epoch": 0.5720821413583989, + "grad_norm": 0.04736328125, + "learning_rate": 0.0014312768069059843, + "loss": 1.1918, + "step": 6518 + }, + { + "epoch": 0.5721699109413013, + "grad_norm": 0.1025390625, + "learning_rate": 0.001430858306132237, + "loss": 1.1962, + "step": 6519 + }, + { + "epoch": 0.5722576805242038, + "grad_norm": 0.061767578125, + "learning_rate": 0.001430439826986907, + "loss": 1.1804, + "step": 6520 + }, + { + "epoch": 0.5723454501071064, + "grad_norm": 0.06640625, + "learning_rate": 0.0014300213695112981, + "loss": 1.198, + "step": 6521 + }, + { + "epoch": 0.5724332196900088, + "grad_norm": 0.0546875, + "learning_rate": 0.0014296029337467096, + "loss": 1.158, + "step": 6522 + }, + { + "epoch": 0.5725209892729113, + "grad_norm": 0.050048828125, + "learning_rate": 0.0014291845197344393, + "loss": 1.2386, + "step": 6523 + }, + { + "epoch": 0.5726087588558137, + "grad_norm": 0.054443359375, + "learning_rate": 0.0014287661275157835, + "loss": 1.2123, + "step": 6524 + }, + { + "epoch": 0.5726965284387162, + "grad_norm": 0.0625, + "learning_rate": 0.0014283477571320352, + "loss": 1.2376, + "step": 6525 + }, + { + "epoch": 0.5727842980216188, + "grad_norm": 0.05517578125, + "learning_rate": 0.0014279294086244863, + "loss": 1.1893, + "step": 6526 + }, + { + "epoch": 0.5728720676045213, + "grad_norm": 0.0595703125, + "learning_rate": 0.0014275110820344261, + "loss": 1.1707, + "step": 6527 + }, + { + "epoch": 0.5729598371874237, + "grad_norm": 0.0703125, + "learning_rate": 0.0014270927774031419, + "loss": 1.2202, + "step": 6528 + }, + { + "epoch": 0.5730476067703262, + "grad_norm": 0.05615234375, + "learning_rate": 0.0014266744947719185, + "loss": 1.1544, + "step": 6529 + }, + { + "epoch": 0.5731353763532286, + "grad_norm": 0.06005859375, + "learning_rate": 0.0014262562341820384, + "loss": 1.1812, + "step": 6530 + }, + { + "epoch": 0.5732231459361312, + "grad_norm": 0.0908203125, + "learning_rate": 0.001425837995674783, + "loss": 1.1873, + "step": 6531 + }, + { + "epoch": 0.5733109155190337, + "grad_norm": 0.04931640625, + "learning_rate": 0.0014254197792914307, + "loss": 1.1328, + "step": 6532 + }, + { + "epoch": 0.5733986851019361, + "grad_norm": 0.07958984375, + "learning_rate": 0.0014250015850732574, + "loss": 1.2488, + "step": 6533 + }, + { + "epoch": 0.5734864546848386, + "grad_norm": 0.07177734375, + "learning_rate": 0.0014245834130615373, + "loss": 1.1951, + "step": 6534 + }, + { + "epoch": 0.5735742242677411, + "grad_norm": 0.04931640625, + "learning_rate": 0.0014241652632975422, + "loss": 1.0851, + "step": 6535 + }, + { + "epoch": 0.5736619938506436, + "grad_norm": 0.10546875, + "learning_rate": 0.0014237471358225426, + "loss": 1.2339, + "step": 6536 + }, + { + "epoch": 0.5737497634335461, + "grad_norm": 0.062255859375, + "learning_rate": 0.0014233290306778052, + "loss": 1.1986, + "step": 6537 + }, + { + "epoch": 0.5738375330164486, + "grad_norm": 0.0771484375, + "learning_rate": 0.0014229109479045954, + "loss": 1.1767, + "step": 6538 + }, + { + "epoch": 0.573925302599351, + "grad_norm": 0.08447265625, + "learning_rate": 0.0014224928875441766, + "loss": 1.1588, + "step": 6539 + }, + { + "epoch": 0.5740130721822535, + "grad_norm": 0.0673828125, + "learning_rate": 0.0014220748496378095, + "loss": 1.1822, + "step": 6540 + }, + { + "epoch": 0.5741008417651561, + "grad_norm": 0.0703125, + "learning_rate": 0.0014216568342267529, + "loss": 1.1228, + "step": 6541 + }, + { + "epoch": 0.5741886113480585, + "grad_norm": 0.126953125, + "learning_rate": 0.0014212388413522633, + "loss": 1.2022, + "step": 6542 + }, + { + "epoch": 0.574276380930961, + "grad_norm": 0.0654296875, + "learning_rate": 0.0014208208710555948, + "loss": 1.1496, + "step": 6543 + }, + { + "epoch": 0.5743641505138635, + "grad_norm": 0.0927734375, + "learning_rate": 0.0014204029233779998, + "loss": 1.174, + "step": 6544 + }, + { + "epoch": 0.5744519200967659, + "grad_norm": 0.10791015625, + "learning_rate": 0.0014199849983607276, + "loss": 1.235, + "step": 6545 + }, + { + "epoch": 0.5745396896796684, + "grad_norm": 0.052734375, + "learning_rate": 0.0014195670960450261, + "loss": 1.1539, + "step": 6546 + }, + { + "epoch": 0.574627459262571, + "grad_norm": 0.0947265625, + "learning_rate": 0.0014191492164721403, + "loss": 1.1596, + "step": 6547 + }, + { + "epoch": 0.5747152288454734, + "grad_norm": 0.09130859375, + "learning_rate": 0.0014187313596833134, + "loss": 1.1661, + "step": 6548 + }, + { + "epoch": 0.5748029984283759, + "grad_norm": 0.064453125, + "learning_rate": 0.0014183135257197863, + "loss": 1.2002, + "step": 6549 + }, + { + "epoch": 0.5748907680112784, + "grad_norm": 0.0791015625, + "learning_rate": 0.0014178957146227969, + "loss": 1.1735, + "step": 6550 + }, + { + "epoch": 0.5749785375941808, + "grad_norm": 0.07421875, + "learning_rate": 0.0014174779264335827, + "loss": 1.155, + "step": 6551 + }, + { + "epoch": 0.5750663071770834, + "grad_norm": 0.051513671875, + "learning_rate": 0.0014170601611933772, + "loss": 1.1719, + "step": 6552 + }, + { + "epoch": 0.5751540767599859, + "grad_norm": 0.0986328125, + "learning_rate": 0.0014166424189434117, + "loss": 1.1812, + "step": 6553 + }, + { + "epoch": 0.5752418463428883, + "grad_norm": 0.06689453125, + "learning_rate": 0.0014162246997249167, + "loss": 1.1904, + "step": 6554 + }, + { + "epoch": 0.5753296159257908, + "grad_norm": 0.055908203125, + "learning_rate": 0.0014158070035791184, + "loss": 1.1334, + "step": 6555 + }, + { + "epoch": 0.5754173855086933, + "grad_norm": 0.06982421875, + "learning_rate": 0.0014153893305472423, + "loss": 1.1606, + "step": 6556 + }, + { + "epoch": 0.5755051550915958, + "grad_norm": 0.06201171875, + "learning_rate": 0.0014149716806705107, + "loss": 1.1896, + "step": 6557 + }, + { + "epoch": 0.5755929246744983, + "grad_norm": 0.0712890625, + "learning_rate": 0.0014145540539901448, + "loss": 1.1903, + "step": 6558 + }, + { + "epoch": 0.5756806942574008, + "grad_norm": 0.06298828125, + "learning_rate": 0.0014141364505473617, + "loss": 1.1873, + "step": 6559 + }, + { + "epoch": 0.5757684638403032, + "grad_norm": 0.07177734375, + "learning_rate": 0.0014137188703833774, + "loss": 1.2167, + "step": 6560 + }, + { + "epoch": 0.5758562334232057, + "grad_norm": 0.054931640625, + "learning_rate": 0.0014133013135394059, + "loss": 1.1179, + "step": 6561 + }, + { + "epoch": 0.5759440030061083, + "grad_norm": 0.07275390625, + "learning_rate": 0.0014128837800566586, + "loss": 1.2041, + "step": 6562 + }, + { + "epoch": 0.5760317725890107, + "grad_norm": 0.060791015625, + "learning_rate": 0.0014124662699763436, + "loss": 1.1914, + "step": 6563 + }, + { + "epoch": 0.5761195421719132, + "grad_norm": 0.080078125, + "learning_rate": 0.0014120487833396683, + "loss": 1.2151, + "step": 6564 + }, + { + "epoch": 0.5762073117548157, + "grad_norm": 0.0849609375, + "learning_rate": 0.001411631320187836, + "loss": 1.1646, + "step": 6565 + }, + { + "epoch": 0.5762950813377181, + "grad_norm": 0.053466796875, + "learning_rate": 0.0014112138805620496, + "loss": 1.2635, + "step": 6566 + }, + { + "epoch": 0.5763828509206207, + "grad_norm": 0.06298828125, + "learning_rate": 0.0014107964645035083, + "loss": 1.1508, + "step": 6567 + }, + { + "epoch": 0.5764706205035232, + "grad_norm": 0.064453125, + "learning_rate": 0.0014103790720534095, + "loss": 1.1969, + "step": 6568 + }, + { + "epoch": 0.5765583900864256, + "grad_norm": 0.05224609375, + "learning_rate": 0.001409961703252948, + "loss": 1.1657, + "step": 6569 + }, + { + "epoch": 0.5766461596693281, + "grad_norm": 0.07421875, + "learning_rate": 0.0014095443581433162, + "loss": 1.2155, + "step": 6570 + }, + { + "epoch": 0.5767339292522305, + "grad_norm": 0.06201171875, + "learning_rate": 0.0014091270367657055, + "loss": 1.187, + "step": 6571 + }, + { + "epoch": 0.576821698835133, + "grad_norm": 0.052734375, + "learning_rate": 0.0014087097391613029, + "loss": 1.2271, + "step": 6572 + }, + { + "epoch": 0.5769094684180356, + "grad_norm": 0.050537109375, + "learning_rate": 0.0014082924653712945, + "loss": 1.1939, + "step": 6573 + }, + { + "epoch": 0.576997238000938, + "grad_norm": 0.0498046875, + "learning_rate": 0.001407875215436863, + "loss": 1.1633, + "step": 6574 + }, + { + "epoch": 0.5770850075838405, + "grad_norm": 0.056396484375, + "learning_rate": 0.0014074579893991902, + "loss": 1.1841, + "step": 6575 + }, + { + "epoch": 0.577172777166743, + "grad_norm": 0.059814453125, + "learning_rate": 0.0014070407872994542, + "loss": 1.175, + "step": 6576 + }, + { + "epoch": 0.5772605467496454, + "grad_norm": 0.052490234375, + "learning_rate": 0.0014066236091788305, + "loss": 1.2139, + "step": 6577 + }, + { + "epoch": 0.577348316332548, + "grad_norm": 0.06201171875, + "learning_rate": 0.001406206455078494, + "loss": 1.1748, + "step": 6578 + }, + { + "epoch": 0.5774360859154505, + "grad_norm": 0.0498046875, + "learning_rate": 0.0014057893250396158, + "loss": 1.1616, + "step": 6579 + }, + { + "epoch": 0.577523855498353, + "grad_norm": 0.055419921875, + "learning_rate": 0.0014053722191033644, + "loss": 1.1502, + "step": 6580 + }, + { + "epoch": 0.5776116250812554, + "grad_norm": 0.05224609375, + "learning_rate": 0.001404955137310908, + "loss": 1.261, + "step": 6581 + }, + { + "epoch": 0.5776993946641579, + "grad_norm": 0.05322265625, + "learning_rate": 0.0014045380797034091, + "loss": 1.1689, + "step": 6582 + }, + { + "epoch": 0.5777871642470604, + "grad_norm": 0.052001953125, + "learning_rate": 0.0014041210463220308, + "loss": 1.187, + "step": 6583 + }, + { + "epoch": 0.5778749338299629, + "grad_norm": 0.0517578125, + "learning_rate": 0.0014037040372079322, + "loss": 1.1499, + "step": 6584 + }, + { + "epoch": 0.5779627034128654, + "grad_norm": 0.04931640625, + "learning_rate": 0.0014032870524022711, + "loss": 1.1781, + "step": 6585 + }, + { + "epoch": 0.5780504729957678, + "grad_norm": 0.05517578125, + "learning_rate": 0.0014028700919462012, + "loss": 1.2142, + "step": 6586 + }, + { + "epoch": 0.5781382425786703, + "grad_norm": 0.05322265625, + "learning_rate": 0.0014024531558808758, + "loss": 1.16, + "step": 6587 + }, + { + "epoch": 0.5782260121615729, + "grad_norm": 0.0673828125, + "learning_rate": 0.0014020362442474438, + "loss": 1.1964, + "step": 6588 + }, + { + "epoch": 0.5783137817444753, + "grad_norm": 0.057861328125, + "learning_rate": 0.0014016193570870537, + "loss": 1.2038, + "step": 6589 + }, + { + "epoch": 0.5784015513273778, + "grad_norm": 0.05859375, + "learning_rate": 0.0014012024944408499, + "loss": 1.1674, + "step": 6590 + }, + { + "epoch": 0.5784893209102803, + "grad_norm": 0.055419921875, + "learning_rate": 0.001400785656349976, + "loss": 1.1208, + "step": 6591 + }, + { + "epoch": 0.5785770904931827, + "grad_norm": 0.05224609375, + "learning_rate": 0.0014003688428555715, + "loss": 1.1391, + "step": 6592 + }, + { + "epoch": 0.5786648600760853, + "grad_norm": 0.056884765625, + "learning_rate": 0.0013999520539987747, + "loss": 1.1053, + "step": 6593 + }, + { + "epoch": 0.5787526296589878, + "grad_norm": 0.062255859375, + "learning_rate": 0.0013995352898207205, + "loss": 1.1811, + "step": 6594 + }, + { + "epoch": 0.5788403992418902, + "grad_norm": 0.060791015625, + "learning_rate": 0.0013991185503625422, + "loss": 1.1793, + "step": 6595 + }, + { + "epoch": 0.5789281688247927, + "grad_norm": 0.109375, + "learning_rate": 0.0013987018356653705, + "loss": 1.1928, + "step": 6596 + }, + { + "epoch": 0.5790159384076952, + "grad_norm": 0.059814453125, + "learning_rate": 0.0013982851457703333, + "loss": 1.2151, + "step": 6597 + }, + { + "epoch": 0.5791037079905977, + "grad_norm": 0.1025390625, + "learning_rate": 0.0013978684807185561, + "loss": 1.22, + "step": 6598 + }, + { + "epoch": 0.5791914775735002, + "grad_norm": 0.0556640625, + "learning_rate": 0.0013974518405511622, + "loss": 1.2016, + "step": 6599 + }, + { + "epoch": 0.5792792471564027, + "grad_norm": 0.06884765625, + "learning_rate": 0.0013970352253092715, + "loss": 1.1353, + "step": 6600 + }, + { + "epoch": 0.5793670167393051, + "grad_norm": 0.07080078125, + "learning_rate": 0.0013966186350340044, + "loss": 1.1568, + "step": 6601 + }, + { + "epoch": 0.5794547863222076, + "grad_norm": 0.054443359375, + "learning_rate": 0.0013962020697664747, + "loss": 1.1843, + "step": 6602 + }, + { + "epoch": 0.5795425559051101, + "grad_norm": 0.072265625, + "learning_rate": 0.001395785529547797, + "loss": 1.1162, + "step": 6603 + }, + { + "epoch": 0.5796303254880126, + "grad_norm": 0.053466796875, + "learning_rate": 0.0013953690144190814, + "loss": 1.1776, + "step": 6604 + }, + { + "epoch": 0.5797180950709151, + "grad_norm": 0.06298828125, + "learning_rate": 0.001394952524421437, + "loss": 1.2004, + "step": 6605 + }, + { + "epoch": 0.5798058646538176, + "grad_norm": 0.07421875, + "learning_rate": 0.0013945360595959686, + "loss": 1.1723, + "step": 6606 + }, + { + "epoch": 0.57989363423672, + "grad_norm": 0.07666015625, + "learning_rate": 0.0013941196199837808, + "loss": 1.191, + "step": 6607 + }, + { + "epoch": 0.5799814038196225, + "grad_norm": 0.0654296875, + "learning_rate": 0.0013937032056259733, + "loss": 1.2217, + "step": 6608 + }, + { + "epoch": 0.5800691734025251, + "grad_norm": 0.0751953125, + "learning_rate": 0.0013932868165636462, + "loss": 1.1823, + "step": 6609 + }, + { + "epoch": 0.5801569429854275, + "grad_norm": 0.051513671875, + "learning_rate": 0.0013928704528378937, + "loss": 1.2024, + "step": 6610 + }, + { + "epoch": 0.58024471256833, + "grad_norm": 0.0595703125, + "learning_rate": 0.0013924541144898104, + "loss": 1.2094, + "step": 6611 + }, + { + "epoch": 0.5803324821512325, + "grad_norm": 0.06591796875, + "learning_rate": 0.001392037801560487, + "loss": 1.1543, + "step": 6612 + }, + { + "epoch": 0.5804202517341349, + "grad_norm": 0.0654296875, + "learning_rate": 0.001391621514091012, + "loss": 1.2433, + "step": 6613 + }, + { + "epoch": 0.5805080213170375, + "grad_norm": 0.06787109375, + "learning_rate": 0.0013912052521224713, + "loss": 1.2453, + "step": 6614 + }, + { + "epoch": 0.58059579089994, + "grad_norm": 0.056396484375, + "learning_rate": 0.0013907890156959481, + "loss": 1.2506, + "step": 6615 + }, + { + "epoch": 0.5806835604828424, + "grad_norm": 0.05224609375, + "learning_rate": 0.0013903728048525231, + "loss": 1.1493, + "step": 6616 + }, + { + "epoch": 0.5807713300657449, + "grad_norm": 0.05615234375, + "learning_rate": 0.0013899566196332756, + "loss": 1.1852, + "step": 6617 + }, + { + "epoch": 0.5808590996486473, + "grad_norm": 0.05126953125, + "learning_rate": 0.0013895404600792805, + "loss": 1.1716, + "step": 6618 + }, + { + "epoch": 0.5809468692315499, + "grad_norm": 0.051025390625, + "learning_rate": 0.0013891243262316114, + "loss": 1.1808, + "step": 6619 + }, + { + "epoch": 0.5810346388144524, + "grad_norm": 0.051025390625, + "learning_rate": 0.0013887082181313387, + "loss": 1.1694, + "step": 6620 + }, + { + "epoch": 0.5811224083973549, + "grad_norm": 0.058837890625, + "learning_rate": 0.0013882921358195311, + "loss": 1.2075, + "step": 6621 + }, + { + "epoch": 0.5812101779802573, + "grad_norm": 0.07421875, + "learning_rate": 0.0013878760793372548, + "loss": 1.142, + "step": 6622 + }, + { + "epoch": 0.5812979475631598, + "grad_norm": 0.07958984375, + "learning_rate": 0.0013874600487255718, + "loss": 1.2186, + "step": 6623 + }, + { + "epoch": 0.5813857171460624, + "grad_norm": 0.0732421875, + "learning_rate": 0.0013870440440255432, + "loss": 1.1511, + "step": 6624 + }, + { + "epoch": 0.5814734867289648, + "grad_norm": 0.068359375, + "learning_rate": 0.001386628065278227, + "loss": 1.1749, + "step": 6625 + }, + { + "epoch": 0.5815612563118673, + "grad_norm": 0.072265625, + "learning_rate": 0.0013862121125246785, + "loss": 1.2003, + "step": 6626 + }, + { + "epoch": 0.5816490258947697, + "grad_norm": 0.0517578125, + "learning_rate": 0.0013857961858059513, + "loss": 1.2252, + "step": 6627 + }, + { + "epoch": 0.5817367954776722, + "grad_norm": 0.09765625, + "learning_rate": 0.0013853802851630946, + "loss": 1.1847, + "step": 6628 + }, + { + "epoch": 0.5818245650605747, + "grad_norm": 0.08349609375, + "learning_rate": 0.001384964410637157, + "loss": 1.1741, + "step": 6629 + }, + { + "epoch": 0.5819123346434772, + "grad_norm": 0.0673828125, + "learning_rate": 0.001384548562269183, + "loss": 1.2139, + "step": 6630 + }, + { + "epoch": 0.5820001042263797, + "grad_norm": 0.10205078125, + "learning_rate": 0.0013841327401002156, + "loss": 1.2527, + "step": 6631 + }, + { + "epoch": 0.5820878738092822, + "grad_norm": 0.05078125, + "learning_rate": 0.0013837169441712953, + "loss": 1.2631, + "step": 6632 + }, + { + "epoch": 0.5821756433921846, + "grad_norm": 0.0615234375, + "learning_rate": 0.0013833011745234588, + "loss": 1.2431, + "step": 6633 + }, + { + "epoch": 0.5822634129750871, + "grad_norm": 0.0810546875, + "learning_rate": 0.001382885431197741, + "loss": 1.1732, + "step": 6634 + }, + { + "epoch": 0.5823511825579897, + "grad_norm": 0.0537109375, + "learning_rate": 0.001382469714235174, + "loss": 1.1991, + "step": 6635 + }, + { + "epoch": 0.5824389521408921, + "grad_norm": 0.0634765625, + "learning_rate": 0.0013820540236767881, + "loss": 1.207, + "step": 6636 + }, + { + "epoch": 0.5825267217237946, + "grad_norm": 0.072265625, + "learning_rate": 0.0013816383595636093, + "loss": 1.181, + "step": 6637 + }, + { + "epoch": 0.5826144913066971, + "grad_norm": 0.05322265625, + "learning_rate": 0.0013812227219366633, + "loss": 1.1459, + "step": 6638 + }, + { + "epoch": 0.5827022608895995, + "grad_norm": 0.12060546875, + "learning_rate": 0.0013808071108369704, + "loss": 1.2064, + "step": 6639 + }, + { + "epoch": 0.5827900304725021, + "grad_norm": 0.05419921875, + "learning_rate": 0.0013803915263055507, + "loss": 1.1676, + "step": 6640 + }, + { + "epoch": 0.5828778000554046, + "grad_norm": 0.07666015625, + "learning_rate": 0.0013799759683834202, + "loss": 1.2055, + "step": 6641 + }, + { + "epoch": 0.582965569638307, + "grad_norm": 0.07470703125, + "learning_rate": 0.001379560437111594, + "loss": 1.1583, + "step": 6642 + }, + { + "epoch": 0.5830533392212095, + "grad_norm": 0.049560546875, + "learning_rate": 0.0013791449325310822, + "loss": 1.1908, + "step": 6643 + }, + { + "epoch": 0.583141108804112, + "grad_norm": 0.049072265625, + "learning_rate": 0.0013787294546828942, + "loss": 1.1405, + "step": 6644 + }, + { + "epoch": 0.5832288783870145, + "grad_norm": 0.05517578125, + "learning_rate": 0.001378314003608035, + "loss": 1.1627, + "step": 6645 + }, + { + "epoch": 0.583316647969917, + "grad_norm": 0.052001953125, + "learning_rate": 0.0013778985793475092, + "loss": 1.1758, + "step": 6646 + }, + { + "epoch": 0.5834044175528195, + "grad_norm": 0.0517578125, + "learning_rate": 0.0013774831819423168, + "loss": 1.1631, + "step": 6647 + }, + { + "epoch": 0.5834921871357219, + "grad_norm": 0.052734375, + "learning_rate": 0.001377067811433456, + "loss": 1.2112, + "step": 6648 + }, + { + "epoch": 0.5835799567186244, + "grad_norm": 0.046875, + "learning_rate": 0.0013766524678619225, + "loss": 1.1301, + "step": 6649 + }, + { + "epoch": 0.583667726301527, + "grad_norm": 0.0517578125, + "learning_rate": 0.0013762371512687087, + "loss": 1.2078, + "step": 6650 + }, + { + "epoch": 0.5837554958844294, + "grad_norm": 0.053466796875, + "learning_rate": 0.0013758218616948042, + "loss": 1.1655, + "step": 6651 + }, + { + "epoch": 0.5838432654673319, + "grad_norm": 0.0791015625, + "learning_rate": 0.0013754065991811975, + "loss": 1.1804, + "step": 6652 + }, + { + "epoch": 0.5839310350502344, + "grad_norm": 0.0478515625, + "learning_rate": 0.0013749913637688732, + "loss": 1.2317, + "step": 6653 + }, + { + "epoch": 0.5840188046331368, + "grad_norm": 0.056396484375, + "learning_rate": 0.0013745761554988132, + "loss": 1.1907, + "step": 6654 + }, + { + "epoch": 0.5841065742160394, + "grad_norm": 0.053466796875, + "learning_rate": 0.0013741609744119968, + "loss": 1.1411, + "step": 6655 + }, + { + "epoch": 0.5841943437989419, + "grad_norm": 0.060302734375, + "learning_rate": 0.0013737458205494006, + "loss": 1.1553, + "step": 6656 + }, + { + "epoch": 0.5842821133818443, + "grad_norm": 0.052734375, + "learning_rate": 0.0013733306939519988, + "loss": 1.172, + "step": 6657 + }, + { + "epoch": 0.5843698829647468, + "grad_norm": 0.0986328125, + "learning_rate": 0.001372915594660763, + "loss": 1.2116, + "step": 6658 + }, + { + "epoch": 0.5844576525476493, + "grad_norm": 0.050048828125, + "learning_rate": 0.0013725005227166614, + "loss": 1.1522, + "step": 6659 + }, + { + "epoch": 0.5845454221305517, + "grad_norm": 0.068359375, + "learning_rate": 0.0013720854781606607, + "loss": 1.1345, + "step": 6660 + }, + { + "epoch": 0.5846331917134543, + "grad_norm": 0.057861328125, + "learning_rate": 0.0013716704610337229, + "loss": 1.239, + "step": 6661 + }, + { + "epoch": 0.5847209612963568, + "grad_norm": 0.0546875, + "learning_rate": 0.0013712554713768096, + "loss": 1.1829, + "step": 6662 + }, + { + "epoch": 0.5848087308792592, + "grad_norm": 0.0693359375, + "learning_rate": 0.0013708405092308783, + "loss": 1.1787, + "step": 6663 + }, + { + "epoch": 0.5848965004621617, + "grad_norm": 0.06494140625, + "learning_rate": 0.0013704255746368845, + "loss": 1.1498, + "step": 6664 + }, + { + "epoch": 0.5849842700450641, + "grad_norm": 0.0673828125, + "learning_rate": 0.0013700106676357798, + "loss": 1.2055, + "step": 6665 + }, + { + "epoch": 0.5850720396279667, + "grad_norm": 0.0537109375, + "learning_rate": 0.0013695957882685148, + "loss": 1.127, + "step": 6666 + }, + { + "epoch": 0.5851598092108692, + "grad_norm": 0.06298828125, + "learning_rate": 0.0013691809365760357, + "loss": 1.1633, + "step": 6667 + }, + { + "epoch": 0.5852475787937717, + "grad_norm": 0.06494140625, + "learning_rate": 0.0013687661125992873, + "loss": 1.1587, + "step": 6668 + }, + { + "epoch": 0.5853353483766741, + "grad_norm": 0.057373046875, + "learning_rate": 0.0013683513163792104, + "loss": 1.1445, + "step": 6669 + }, + { + "epoch": 0.5854231179595766, + "grad_norm": 0.056640625, + "learning_rate": 0.0013679365479567446, + "loss": 1.2474, + "step": 6670 + }, + { + "epoch": 0.5855108875424792, + "grad_norm": 0.05029296875, + "learning_rate": 0.0013675218073728249, + "loss": 1.1838, + "step": 6671 + }, + { + "epoch": 0.5855986571253816, + "grad_norm": 0.059814453125, + "learning_rate": 0.0013671070946683851, + "loss": 1.2034, + "step": 6672 + }, + { + "epoch": 0.5856864267082841, + "grad_norm": 0.052490234375, + "learning_rate": 0.0013666924098843564, + "loss": 1.0969, + "step": 6673 + }, + { + "epoch": 0.5857741962911865, + "grad_norm": 0.06982421875, + "learning_rate": 0.0013662777530616653, + "loss": 1.2302, + "step": 6674 + }, + { + "epoch": 0.585861965874089, + "grad_norm": 0.0791015625, + "learning_rate": 0.0013658631242412377, + "loss": 1.1761, + "step": 6675 + }, + { + "epoch": 0.5859497354569916, + "grad_norm": 0.051025390625, + "learning_rate": 0.001365448523463995, + "loss": 1.176, + "step": 6676 + }, + { + "epoch": 0.586037505039894, + "grad_norm": 0.0947265625, + "learning_rate": 0.0013650339507708573, + "loss": 1.1412, + "step": 6677 + }, + { + "epoch": 0.5861252746227965, + "grad_norm": 0.072265625, + "learning_rate": 0.0013646194062027414, + "loss": 1.1821, + "step": 6678 + }, + { + "epoch": 0.586213044205699, + "grad_norm": 0.07470703125, + "learning_rate": 0.0013642048898005609, + "loss": 1.1851, + "step": 6679 + }, + { + "epoch": 0.5863008137886014, + "grad_norm": 0.0537109375, + "learning_rate": 0.0013637904016052266, + "loss": 1.1822, + "step": 6680 + }, + { + "epoch": 0.586388583371504, + "grad_norm": 0.0654296875, + "learning_rate": 0.0013633759416576468, + "loss": 1.1519, + "step": 6681 + }, + { + "epoch": 0.5864763529544065, + "grad_norm": 0.0966796875, + "learning_rate": 0.001362961509998728, + "loss": 1.2006, + "step": 6682 + }, + { + "epoch": 0.5865641225373089, + "grad_norm": 0.05126953125, + "learning_rate": 0.0013625471066693725, + "loss": 1.1577, + "step": 6683 + }, + { + "epoch": 0.5866518921202114, + "grad_norm": 0.1015625, + "learning_rate": 0.0013621327317104798, + "loss": 1.154, + "step": 6684 + }, + { + "epoch": 0.5867396617031139, + "grad_norm": 0.07958984375, + "learning_rate": 0.0013617183851629482, + "loss": 1.202, + "step": 6685 + }, + { + "epoch": 0.5868274312860163, + "grad_norm": 0.052001953125, + "learning_rate": 0.0013613040670676707, + "loss": 1.2113, + "step": 6686 + }, + { + "epoch": 0.5869152008689189, + "grad_norm": 0.08740234375, + "learning_rate": 0.0013608897774655398, + "loss": 1.1577, + "step": 6687 + }, + { + "epoch": 0.5870029704518214, + "grad_norm": 0.05322265625, + "learning_rate": 0.0013604755163974433, + "loss": 1.1819, + "step": 6688 + }, + { + "epoch": 0.5870907400347238, + "grad_norm": 0.06884765625, + "learning_rate": 0.0013600612839042687, + "loss": 1.1824, + "step": 6689 + }, + { + "epoch": 0.5871785096176263, + "grad_norm": 0.054443359375, + "learning_rate": 0.0013596470800268975, + "loss": 1.224, + "step": 6690 + }, + { + "epoch": 0.5872662792005288, + "grad_norm": 0.06591796875, + "learning_rate": 0.00135923290480621, + "loss": 1.1574, + "step": 6691 + }, + { + "epoch": 0.5873540487834313, + "grad_norm": 0.049560546875, + "learning_rate": 0.0013588187582830851, + "loss": 1.11, + "step": 6692 + }, + { + "epoch": 0.5874418183663338, + "grad_norm": 0.048583984375, + "learning_rate": 0.0013584046404983964, + "loss": 1.1514, + "step": 6693 + }, + { + "epoch": 0.5875295879492363, + "grad_norm": 0.051025390625, + "learning_rate": 0.0013579905514930163, + "loss": 1.2048, + "step": 6694 + }, + { + "epoch": 0.5876173575321387, + "grad_norm": 0.05078125, + "learning_rate": 0.001357576491307813, + "loss": 1.2195, + "step": 6695 + }, + { + "epoch": 0.5877051271150412, + "grad_norm": 0.050048828125, + "learning_rate": 0.001357162459983653, + "loss": 1.2168, + "step": 6696 + }, + { + "epoch": 0.5877928966979438, + "grad_norm": 0.0615234375, + "learning_rate": 0.0013567484575613996, + "loss": 1.1229, + "step": 6697 + }, + { + "epoch": 0.5878806662808462, + "grad_norm": 0.059326171875, + "learning_rate": 0.0013563344840819133, + "loss": 1.25, + "step": 6698 + }, + { + "epoch": 0.5879684358637487, + "grad_norm": 0.07763671875, + "learning_rate": 0.0013559205395860508, + "loss": 1.1802, + "step": 6699 + }, + { + "epoch": 0.5880562054466512, + "grad_norm": 0.0576171875, + "learning_rate": 0.0013555066241146682, + "loss": 1.1616, + "step": 6700 + }, + { + "epoch": 0.5881439750295536, + "grad_norm": 0.10498046875, + "learning_rate": 0.0013550927377086153, + "loss": 1.1636, + "step": 6701 + }, + { + "epoch": 0.5882317446124562, + "grad_norm": 0.078125, + "learning_rate": 0.0013546788804087433, + "loss": 1.1682, + "step": 6702 + }, + { + "epoch": 0.5883195141953587, + "grad_norm": 0.057373046875, + "learning_rate": 0.0013542650522558972, + "loss": 1.2086, + "step": 6703 + }, + { + "epoch": 0.5884072837782611, + "grad_norm": 0.140625, + "learning_rate": 0.0013538512532909198, + "loss": 1.1996, + "step": 6704 + }, + { + "epoch": 0.5884950533611636, + "grad_norm": 0.048828125, + "learning_rate": 0.0013534374835546528, + "loss": 1.169, + "step": 6705 + }, + { + "epoch": 0.588582822944066, + "grad_norm": 0.06884765625, + "learning_rate": 0.001353023743087932, + "loss": 1.1751, + "step": 6706 + }, + { + "epoch": 0.5886705925269686, + "grad_norm": 0.0546875, + "learning_rate": 0.001352610031931593, + "loss": 1.1603, + "step": 6707 + }, + { + "epoch": 0.5887583621098711, + "grad_norm": 0.0556640625, + "learning_rate": 0.0013521963501264668, + "loss": 1.1373, + "step": 6708 + }, + { + "epoch": 0.5888461316927736, + "grad_norm": 0.052001953125, + "learning_rate": 0.0013517826977133833, + "loss": 1.2153, + "step": 6709 + }, + { + "epoch": 0.588933901275676, + "grad_norm": 0.052490234375, + "learning_rate": 0.0013513690747331668, + "loss": 1.1295, + "step": 6710 + }, + { + "epoch": 0.5890216708585785, + "grad_norm": 0.05224609375, + "learning_rate": 0.0013509554812266406, + "loss": 1.1597, + "step": 6711 + }, + { + "epoch": 0.589109440441481, + "grad_norm": 0.076171875, + "learning_rate": 0.0013505419172346257, + "loss": 1.2045, + "step": 6712 + }, + { + "epoch": 0.5891972100243835, + "grad_norm": 0.048583984375, + "learning_rate": 0.0013501283827979389, + "loss": 1.1683, + "step": 6713 + }, + { + "epoch": 0.589284979607286, + "grad_norm": 0.05126953125, + "learning_rate": 0.001349714877957394, + "loss": 1.1695, + "step": 6714 + }, + { + "epoch": 0.5893727491901884, + "grad_norm": 0.10498046875, + "learning_rate": 0.0013493014027538023, + "loss": 1.1957, + "step": 6715 + }, + { + "epoch": 0.5894605187730909, + "grad_norm": 0.05712890625, + "learning_rate": 0.0013488879572279727, + "loss": 1.2131, + "step": 6716 + }, + { + "epoch": 0.5895482883559934, + "grad_norm": 0.06591796875, + "learning_rate": 0.00134847454142071, + "loss": 1.1656, + "step": 6717 + }, + { + "epoch": 0.589636057938896, + "grad_norm": 0.0830078125, + "learning_rate": 0.0013480611553728168, + "loss": 1.1887, + "step": 6718 + }, + { + "epoch": 0.5897238275217984, + "grad_norm": 0.05859375, + "learning_rate": 0.0013476477991250936, + "loss": 1.1974, + "step": 6719 + }, + { + "epoch": 0.5898115971047009, + "grad_norm": 0.06103515625, + "learning_rate": 0.0013472344727183357, + "loss": 1.18, + "step": 6720 + }, + { + "epoch": 0.5898993666876033, + "grad_norm": 0.0888671875, + "learning_rate": 0.001346821176193337, + "loss": 1.105, + "step": 6721 + }, + { + "epoch": 0.5899871362705058, + "grad_norm": 0.0634765625, + "learning_rate": 0.0013464079095908891, + "loss": 1.1723, + "step": 6722 + }, + { + "epoch": 0.5900749058534084, + "grad_norm": 0.055419921875, + "learning_rate": 0.001345994672951779, + "loss": 1.16, + "step": 6723 + }, + { + "epoch": 0.5901626754363108, + "grad_norm": 0.05615234375, + "learning_rate": 0.0013455814663167925, + "loss": 1.1991, + "step": 6724 + }, + { + "epoch": 0.5902504450192133, + "grad_norm": 0.06787109375, + "learning_rate": 0.0013451682897267102, + "loss": 1.1902, + "step": 6725 + }, + { + "epoch": 0.5903382146021158, + "grad_norm": 0.057861328125, + "learning_rate": 0.0013447551432223116, + "loss": 1.2524, + "step": 6726 + }, + { + "epoch": 0.5904259841850182, + "grad_norm": 0.11572265625, + "learning_rate": 0.0013443420268443725, + "loss": 1.2334, + "step": 6727 + }, + { + "epoch": 0.5905137537679208, + "grad_norm": 0.055419921875, + "learning_rate": 0.001343928940633666, + "loss": 1.1831, + "step": 6728 + }, + { + "epoch": 0.5906015233508233, + "grad_norm": 0.057861328125, + "learning_rate": 0.0013435158846309622, + "loss": 1.2259, + "step": 6729 + }, + { + "epoch": 0.5906892929337257, + "grad_norm": 0.056884765625, + "learning_rate": 0.0013431028588770278, + "loss": 1.1402, + "step": 6730 + }, + { + "epoch": 0.5907770625166282, + "grad_norm": 0.052734375, + "learning_rate": 0.0013426898634126263, + "loss": 1.1307, + "step": 6731 + }, + { + "epoch": 0.5908648320995307, + "grad_norm": 0.0634765625, + "learning_rate": 0.0013422768982785196, + "loss": 1.2026, + "step": 6732 + }, + { + "epoch": 0.5909526016824332, + "grad_norm": 0.051025390625, + "learning_rate": 0.0013418639635154658, + "loss": 1.128, + "step": 6733 + }, + { + "epoch": 0.5910403712653357, + "grad_norm": 0.051513671875, + "learning_rate": 0.0013414510591642195, + "loss": 1.1794, + "step": 6734 + }, + { + "epoch": 0.5911281408482382, + "grad_norm": 0.064453125, + "learning_rate": 0.0013410381852655329, + "loss": 1.2261, + "step": 6735 + }, + { + "epoch": 0.5912159104311406, + "grad_norm": 0.052490234375, + "learning_rate": 0.0013406253418601546, + "loss": 1.1806, + "step": 6736 + }, + { + "epoch": 0.5913036800140431, + "grad_norm": 0.050048828125, + "learning_rate": 0.001340212528988831, + "loss": 1.1571, + "step": 6737 + }, + { + "epoch": 0.5913914495969457, + "grad_norm": 0.0498046875, + "learning_rate": 0.0013397997466923052, + "loss": 1.1411, + "step": 6738 + }, + { + "epoch": 0.5914792191798481, + "grad_norm": 0.0966796875, + "learning_rate": 0.0013393869950113167, + "loss": 1.1271, + "step": 6739 + }, + { + "epoch": 0.5915669887627506, + "grad_norm": 0.05126953125, + "learning_rate": 0.0013389742739866033, + "loss": 1.217, + "step": 6740 + }, + { + "epoch": 0.5916547583456531, + "grad_norm": 0.1005859375, + "learning_rate": 0.0013385615836588973, + "loss": 1.144, + "step": 6741 + }, + { + "epoch": 0.5917425279285555, + "grad_norm": 0.0859375, + "learning_rate": 0.0013381489240689316, + "loss": 1.271, + "step": 6742 + }, + { + "epoch": 0.591830297511458, + "grad_norm": 0.0625, + "learning_rate": 0.0013377362952574328, + "loss": 1.1815, + "step": 6743 + }, + { + "epoch": 0.5919180670943606, + "grad_norm": 0.091796875, + "learning_rate": 0.0013373236972651266, + "loss": 1.1685, + "step": 6744 + }, + { + "epoch": 0.592005836677263, + "grad_norm": 0.0576171875, + "learning_rate": 0.0013369111301327339, + "loss": 1.1637, + "step": 6745 + }, + { + "epoch": 0.5920936062601655, + "grad_norm": 0.048828125, + "learning_rate": 0.0013364985939009737, + "loss": 1.147, + "step": 6746 + }, + { + "epoch": 0.592181375843068, + "grad_norm": 0.06884765625, + "learning_rate": 0.001336086088610562, + "loss": 1.1724, + "step": 6747 + }, + { + "epoch": 0.5922691454259704, + "grad_norm": 0.055419921875, + "learning_rate": 0.0013356736143022114, + "loss": 1.1324, + "step": 6748 + }, + { + "epoch": 0.592356915008873, + "grad_norm": 0.080078125, + "learning_rate": 0.0013352611710166313, + "loss": 1.1162, + "step": 6749 + }, + { + "epoch": 0.5924446845917755, + "grad_norm": 0.0595703125, + "learning_rate": 0.001334848758794528, + "loss": 1.1931, + "step": 6750 + }, + { + "epoch": 0.5925324541746779, + "grad_norm": 0.055908203125, + "learning_rate": 0.0013344363776766057, + "loss": 1.2064, + "step": 6751 + }, + { + "epoch": 0.5926202237575804, + "grad_norm": 0.0869140625, + "learning_rate": 0.0013340240277035635, + "loss": 1.1467, + "step": 6752 + }, + { + "epoch": 0.5927079933404829, + "grad_norm": 0.05810546875, + "learning_rate": 0.0013336117089160998, + "loss": 1.2154, + "step": 6753 + }, + { + "epoch": 0.5927957629233854, + "grad_norm": 0.07666015625, + "learning_rate": 0.0013331994213549088, + "loss": 1.1327, + "step": 6754 + }, + { + "epoch": 0.5928835325062879, + "grad_norm": 0.0546875, + "learning_rate": 0.001332787165060681, + "loss": 1.1538, + "step": 6755 + }, + { + "epoch": 0.5929713020891904, + "grad_norm": 0.0634765625, + "learning_rate": 0.0013323749400741055, + "loss": 1.1738, + "step": 6756 + }, + { + "epoch": 0.5930590716720928, + "grad_norm": 0.06640625, + "learning_rate": 0.0013319627464358664, + "loss": 1.1309, + "step": 6757 + }, + { + "epoch": 0.5931468412549953, + "grad_norm": 0.047607421875, + "learning_rate": 0.0013315505841866456, + "loss": 1.1185, + "step": 6758 + }, + { + "epoch": 0.5932346108378979, + "grad_norm": 0.059814453125, + "learning_rate": 0.0013311384533671222, + "loss": 1.1832, + "step": 6759 + }, + { + "epoch": 0.5933223804208003, + "grad_norm": 0.055908203125, + "learning_rate": 0.001330726354017972, + "loss": 1.1471, + "step": 6760 + }, + { + "epoch": 0.5934101500037028, + "grad_norm": 0.052734375, + "learning_rate": 0.001330314286179867, + "loss": 1.1388, + "step": 6761 + }, + { + "epoch": 0.5934979195866052, + "grad_norm": 0.060791015625, + "learning_rate": 0.001329902249893477, + "loss": 1.2121, + "step": 6762 + }, + { + "epoch": 0.5935856891695077, + "grad_norm": 0.056884765625, + "learning_rate": 0.0013294902451994688, + "loss": 1.1196, + "step": 6763 + }, + { + "epoch": 0.5936734587524103, + "grad_norm": 0.054443359375, + "learning_rate": 0.001329078272138505, + "loss": 1.1655, + "step": 6764 + }, + { + "epoch": 0.5937612283353128, + "grad_norm": 0.04833984375, + "learning_rate": 0.0013286663307512459, + "loss": 1.15, + "step": 6765 + }, + { + "epoch": 0.5938489979182152, + "grad_norm": 0.051025390625, + "learning_rate": 0.0013282544210783485, + "loss": 1.1733, + "step": 6766 + }, + { + "epoch": 0.5939367675011177, + "grad_norm": 0.05615234375, + "learning_rate": 0.0013278425431604661, + "loss": 1.2254, + "step": 6767 + }, + { + "epoch": 0.5940245370840201, + "grad_norm": 0.05322265625, + "learning_rate": 0.001327430697038251, + "loss": 1.1162, + "step": 6768 + }, + { + "epoch": 0.5941123066669226, + "grad_norm": 0.06201171875, + "learning_rate": 0.0013270188827523492, + "loss": 1.1482, + "step": 6769 + }, + { + "epoch": 0.5942000762498252, + "grad_norm": 0.056640625, + "learning_rate": 0.001326607100343406, + "loss": 1.1319, + "step": 6770 + }, + { + "epoch": 0.5942878458327276, + "grad_norm": 0.07275390625, + "learning_rate": 0.0013261953498520619, + "loss": 1.1705, + "step": 6771 + }, + { + "epoch": 0.5943756154156301, + "grad_norm": 0.0478515625, + "learning_rate": 0.0013257836313189555, + "loss": 1.1317, + "step": 6772 + }, + { + "epoch": 0.5944633849985326, + "grad_norm": 0.11474609375, + "learning_rate": 0.0013253719447847223, + "loss": 1.2602, + "step": 6773 + }, + { + "epoch": 0.594551154581435, + "grad_norm": 0.064453125, + "learning_rate": 0.0013249602902899935, + "loss": 1.1997, + "step": 6774 + }, + { + "epoch": 0.5946389241643376, + "grad_norm": 0.0478515625, + "learning_rate": 0.001324548667875398, + "loss": 1.2098, + "step": 6775 + }, + { + "epoch": 0.5947266937472401, + "grad_norm": 0.06005859375, + "learning_rate": 0.0013241370775815612, + "loss": 1.1338, + "step": 6776 + }, + { + "epoch": 0.5948144633301425, + "grad_norm": 0.0517578125, + "learning_rate": 0.0013237255194491052, + "loss": 1.1814, + "step": 6777 + }, + { + "epoch": 0.594902232913045, + "grad_norm": 0.049560546875, + "learning_rate": 0.0013233139935186497, + "loss": 1.1611, + "step": 6778 + }, + { + "epoch": 0.5949900024959475, + "grad_norm": 0.060546875, + "learning_rate": 0.0013229024998308106, + "loss": 1.2246, + "step": 6779 + }, + { + "epoch": 0.59507777207885, + "grad_norm": 0.08447265625, + "learning_rate": 0.0013224910384262002, + "loss": 1.1888, + "step": 6780 + }, + { + "epoch": 0.5951655416617525, + "grad_norm": 0.05078125, + "learning_rate": 0.0013220796093454284, + "loss": 1.1285, + "step": 6781 + }, + { + "epoch": 0.595253311244655, + "grad_norm": 0.10595703125, + "learning_rate": 0.0013216682126291016, + "loss": 1.1785, + "step": 6782 + }, + { + "epoch": 0.5953410808275574, + "grad_norm": 0.055908203125, + "learning_rate": 0.0013212568483178231, + "loss": 1.1864, + "step": 6783 + }, + { + "epoch": 0.5954288504104599, + "grad_norm": 0.0703125, + "learning_rate": 0.001320845516452193, + "loss": 1.1668, + "step": 6784 + }, + { + "epoch": 0.5955166199933625, + "grad_norm": 0.05078125, + "learning_rate": 0.0013204342170728084, + "loss": 1.1141, + "step": 6785 + }, + { + "epoch": 0.5956043895762649, + "grad_norm": 0.0751953125, + "learning_rate": 0.0013200229502202622, + "loss": 1.2097, + "step": 6786 + }, + { + "epoch": 0.5956921591591674, + "grad_norm": 0.052490234375, + "learning_rate": 0.0013196117159351452, + "loss": 1.212, + "step": 6787 + }, + { + "epoch": 0.5957799287420699, + "grad_norm": 0.064453125, + "learning_rate": 0.001319200514258044, + "loss": 1.2257, + "step": 6788 + }, + { + "epoch": 0.5958676983249723, + "grad_norm": 0.0537109375, + "learning_rate": 0.001318789345229544, + "loss": 1.1567, + "step": 6789 + }, + { + "epoch": 0.5959554679078749, + "grad_norm": 0.054443359375, + "learning_rate": 0.0013183782088902248, + "loss": 1.2497, + "step": 6790 + }, + { + "epoch": 0.5960432374907774, + "grad_norm": 0.0732421875, + "learning_rate": 0.0013179671052806644, + "loss": 1.1258, + "step": 6791 + }, + { + "epoch": 0.5961310070736798, + "grad_norm": 0.048583984375, + "learning_rate": 0.001317556034441436, + "loss": 1.1281, + "step": 6792 + }, + { + "epoch": 0.5962187766565823, + "grad_norm": 0.056396484375, + "learning_rate": 0.0013171449964131123, + "loss": 1.1671, + "step": 6793 + }, + { + "epoch": 0.5963065462394848, + "grad_norm": 0.06787109375, + "learning_rate": 0.0013167339912362602, + "loss": 1.2105, + "step": 6794 + }, + { + "epoch": 0.5963943158223873, + "grad_norm": 0.0732421875, + "learning_rate": 0.001316323018951445, + "loss": 1.2116, + "step": 6795 + }, + { + "epoch": 0.5964820854052898, + "grad_norm": 0.052978515625, + "learning_rate": 0.001315912079599227, + "loss": 1.1563, + "step": 6796 + }, + { + "epoch": 0.5965698549881923, + "grad_norm": 0.05810546875, + "learning_rate": 0.001315501173220165, + "loss": 1.2155, + "step": 6797 + }, + { + "epoch": 0.5966576245710947, + "grad_norm": 0.0625, + "learning_rate": 0.001315090299854814, + "loss": 1.1607, + "step": 6798 + }, + { + "epoch": 0.5967453941539972, + "grad_norm": 0.056640625, + "learning_rate": 0.001314679459543725, + "loss": 1.1468, + "step": 6799 + }, + { + "epoch": 0.5968331637368997, + "grad_norm": 0.0947265625, + "learning_rate": 0.0013142686523274463, + "loss": 1.1452, + "step": 6800 + }, + { + "epoch": 0.5969209333198022, + "grad_norm": 0.0498046875, + "learning_rate": 0.0013138578782465233, + "loss": 1.2276, + "step": 6801 + }, + { + "epoch": 0.5970087029027047, + "grad_norm": 0.06640625, + "learning_rate": 0.0013134471373414977, + "loss": 1.1902, + "step": 6802 + }, + { + "epoch": 0.5970964724856072, + "grad_norm": 0.05517578125, + "learning_rate": 0.001313036429652908, + "loss": 1.1958, + "step": 6803 + }, + { + "epoch": 0.5971842420685096, + "grad_norm": 0.05126953125, + "learning_rate": 0.001312625755221289, + "loss": 1.1905, + "step": 6804 + }, + { + "epoch": 0.5972720116514121, + "grad_norm": 0.053466796875, + "learning_rate": 0.0013122151140871738, + "loss": 1.1934, + "step": 6805 + }, + { + "epoch": 0.5973597812343147, + "grad_norm": 0.05615234375, + "learning_rate": 0.0013118045062910897, + "loss": 1.1421, + "step": 6806 + }, + { + "epoch": 0.5974475508172171, + "grad_norm": 0.04833984375, + "learning_rate": 0.0013113939318735632, + "loss": 1.1579, + "step": 6807 + }, + { + "epoch": 0.5975353204001196, + "grad_norm": 0.06787109375, + "learning_rate": 0.0013109833908751154, + "loss": 1.2143, + "step": 6808 + }, + { + "epoch": 0.597623089983022, + "grad_norm": 0.048583984375, + "learning_rate": 0.0013105728833362658, + "loss": 1.1565, + "step": 6809 + }, + { + "epoch": 0.5977108595659245, + "grad_norm": 0.06103515625, + "learning_rate": 0.0013101624092975292, + "loss": 1.2205, + "step": 6810 + }, + { + "epoch": 0.5977986291488271, + "grad_norm": 0.09033203125, + "learning_rate": 0.0013097519687994186, + "loss": 1.1543, + "step": 6811 + }, + { + "epoch": 0.5978863987317296, + "grad_norm": 0.061279296875, + "learning_rate": 0.0013093415618824417, + "loss": 1.1727, + "step": 6812 + }, + { + "epoch": 0.597974168314632, + "grad_norm": 0.1015625, + "learning_rate": 0.0013089311885871046, + "loss": 1.1949, + "step": 6813 + }, + { + "epoch": 0.5980619378975345, + "grad_norm": 0.0830078125, + "learning_rate": 0.0013085208489539105, + "loss": 1.2246, + "step": 6814 + }, + { + "epoch": 0.5981497074804369, + "grad_norm": 0.048828125, + "learning_rate": 0.001308110543023357, + "loss": 1.1133, + "step": 6815 + }, + { + "epoch": 0.5982374770633395, + "grad_norm": 0.0966796875, + "learning_rate": 0.0013077002708359407, + "loss": 1.2484, + "step": 6816 + }, + { + "epoch": 0.598325246646242, + "grad_norm": 0.064453125, + "learning_rate": 0.0013072900324321525, + "loss": 1.1447, + "step": 6817 + }, + { + "epoch": 0.5984130162291444, + "grad_norm": 0.060791015625, + "learning_rate": 0.0013068798278524823, + "loss": 1.1981, + "step": 6818 + }, + { + "epoch": 0.5985007858120469, + "grad_norm": 0.07861328125, + "learning_rate": 0.0013064696571374159, + "loss": 1.1415, + "step": 6819 + }, + { + "epoch": 0.5985885553949494, + "grad_norm": 0.049072265625, + "learning_rate": 0.0013060595203274344, + "loss": 1.1742, + "step": 6820 + }, + { + "epoch": 0.598676324977852, + "grad_norm": 0.08203125, + "learning_rate": 0.0013056494174630174, + "loss": 1.2231, + "step": 6821 + }, + { + "epoch": 0.5987640945607544, + "grad_norm": 0.048583984375, + "learning_rate": 0.0013052393485846405, + "loss": 1.1561, + "step": 6822 + }, + { + "epoch": 0.5988518641436569, + "grad_norm": 0.05712890625, + "learning_rate": 0.0013048293137327756, + "loss": 1.2442, + "step": 6823 + }, + { + "epoch": 0.5989396337265593, + "grad_norm": 0.09228515625, + "learning_rate": 0.0013044193129478922, + "loss": 1.2024, + "step": 6824 + }, + { + "epoch": 0.5990274033094618, + "grad_norm": 0.06982421875, + "learning_rate": 0.0013040093462704544, + "loss": 1.1612, + "step": 6825 + }, + { + "epoch": 0.5991151728923643, + "grad_norm": 0.053955078125, + "learning_rate": 0.001303599413740926, + "loss": 1.1794, + "step": 6826 + }, + { + "epoch": 0.5992029424752668, + "grad_norm": 0.1015625, + "learning_rate": 0.0013031895153997645, + "loss": 1.1834, + "step": 6827 + }, + { + "epoch": 0.5992907120581693, + "grad_norm": 0.08154296875, + "learning_rate": 0.0013027796512874255, + "loss": 1.203, + "step": 6828 + }, + { + "epoch": 0.5993784816410718, + "grad_norm": 0.057861328125, + "learning_rate": 0.0013023698214443607, + "loss": 1.2028, + "step": 6829 + }, + { + "epoch": 0.5994662512239742, + "grad_norm": 0.11376953125, + "learning_rate": 0.0013019600259110192, + "loss": 1.1115, + "step": 6830 + }, + { + "epoch": 0.5995540208068767, + "grad_norm": 0.125, + "learning_rate": 0.0013015502647278465, + "loss": 1.1301, + "step": 6831 + }, + { + "epoch": 0.5996417903897793, + "grad_norm": 0.06689453125, + "learning_rate": 0.0013011405379352832, + "loss": 1.1864, + "step": 6832 + }, + { + "epoch": 0.5997295599726817, + "grad_norm": 0.0927734375, + "learning_rate": 0.001300730845573769, + "loss": 1.1541, + "step": 6833 + }, + { + "epoch": 0.5998173295555842, + "grad_norm": 0.0751953125, + "learning_rate": 0.0013003211876837378, + "loss": 1.2194, + "step": 6834 + }, + { + "epoch": 0.5999050991384867, + "grad_norm": 0.054443359375, + "learning_rate": 0.0012999115643056221, + "loss": 1.1769, + "step": 6835 + }, + { + "epoch": 0.5999928687213891, + "grad_norm": 0.0947265625, + "learning_rate": 0.00129950197547985, + "loss": 1.1447, + "step": 6836 + }, + { + "epoch": 0.6000806383042917, + "grad_norm": 0.0810546875, + "learning_rate": 0.0012990924212468457, + "loss": 1.1983, + "step": 6837 + }, + { + "epoch": 0.6001684078871942, + "grad_norm": 0.060546875, + "learning_rate": 0.0012986829016470313, + "loss": 1.1921, + "step": 6838 + }, + { + "epoch": 0.6002561774700966, + "grad_norm": 0.09765625, + "learning_rate": 0.0012982734167208243, + "loss": 1.1663, + "step": 6839 + }, + { + "epoch": 0.6003439470529991, + "grad_norm": 0.087890625, + "learning_rate": 0.0012978639665086396, + "loss": 1.2064, + "step": 6840 + }, + { + "epoch": 0.6004317166359016, + "grad_norm": 0.058837890625, + "learning_rate": 0.0012974545510508878, + "loss": 1.1325, + "step": 6841 + }, + { + "epoch": 0.6005194862188041, + "grad_norm": 0.146484375, + "learning_rate": 0.001297045170387976, + "loss": 1.1607, + "step": 6842 + }, + { + "epoch": 0.6006072558017066, + "grad_norm": 0.0556640625, + "learning_rate": 0.0012966358245603104, + "loss": 1.1649, + "step": 6843 + }, + { + "epoch": 0.6006950253846091, + "grad_norm": 0.07373046875, + "learning_rate": 0.0012962265136082906, + "loss": 1.254, + "step": 6844 + }, + { + "epoch": 0.6007827949675115, + "grad_norm": 0.08642578125, + "learning_rate": 0.0012958172375723141, + "loss": 1.1603, + "step": 6845 + }, + { + "epoch": 0.600870564550414, + "grad_norm": 0.052001953125, + "learning_rate": 0.0012954079964927745, + "loss": 1.1788, + "step": 6846 + }, + { + "epoch": 0.6009583341333166, + "grad_norm": 0.10302734375, + "learning_rate": 0.0012949987904100628, + "loss": 1.2094, + "step": 6847 + }, + { + "epoch": 0.601046103716219, + "grad_norm": 0.09521484375, + "learning_rate": 0.0012945896193645658, + "loss": 1.2114, + "step": 6848 + }, + { + "epoch": 0.6011338732991215, + "grad_norm": 0.0517578125, + "learning_rate": 0.001294180483396667, + "loss": 1.1904, + "step": 6849 + }, + { + "epoch": 0.601221642882024, + "grad_norm": 0.119140625, + "learning_rate": 0.001293771382546747, + "loss": 1.1059, + "step": 6850 + }, + { + "epoch": 0.6013094124649264, + "grad_norm": 0.0849609375, + "learning_rate": 0.0012933623168551816, + "loss": 1.1635, + "step": 6851 + }, + { + "epoch": 0.6013971820478289, + "grad_norm": 0.05078125, + "learning_rate": 0.001292953286362344, + "loss": 1.1235, + "step": 6852 + }, + { + "epoch": 0.6014849516307315, + "grad_norm": 0.130859375, + "learning_rate": 0.001292544291108605, + "loss": 1.2444, + "step": 6853 + }, + { + "epoch": 0.6015727212136339, + "grad_norm": 0.08349609375, + "learning_rate": 0.0012921353311343294, + "loss": 1.1733, + "step": 6854 + }, + { + "epoch": 0.6016604907965364, + "grad_norm": 0.049072265625, + "learning_rate": 0.001291726406479881, + "loss": 1.1452, + "step": 6855 + }, + { + "epoch": 0.6017482603794388, + "grad_norm": 0.125, + "learning_rate": 0.0012913175171856191, + "loss": 1.2193, + "step": 6856 + }, + { + "epoch": 0.6018360299623413, + "grad_norm": 0.08837890625, + "learning_rate": 0.0012909086632918985, + "loss": 1.2074, + "step": 6857 + }, + { + "epoch": 0.6019237995452439, + "grad_norm": 0.049072265625, + "learning_rate": 0.0012904998448390723, + "loss": 1.1404, + "step": 6858 + }, + { + "epoch": 0.6020115691281464, + "grad_norm": 0.07275390625, + "learning_rate": 0.0012900910618674887, + "loss": 1.2259, + "step": 6859 + }, + { + "epoch": 0.6020993387110488, + "grad_norm": 0.10546875, + "learning_rate": 0.0012896823144174935, + "loss": 1.1565, + "step": 6860 + }, + { + "epoch": 0.6021871082939513, + "grad_norm": 0.0869140625, + "learning_rate": 0.001289273602529428, + "loss": 1.1348, + "step": 6861 + }, + { + "epoch": 0.6022748778768537, + "grad_norm": 0.0654296875, + "learning_rate": 0.0012888649262436298, + "loss": 1.2166, + "step": 6862 + }, + { + "epoch": 0.6023626474597563, + "grad_norm": 0.107421875, + "learning_rate": 0.0012884562856004356, + "loss": 1.1385, + "step": 6863 + }, + { + "epoch": 0.6024504170426588, + "grad_norm": 0.08642578125, + "learning_rate": 0.0012880476806401745, + "loss": 1.1808, + "step": 6864 + }, + { + "epoch": 0.6025381866255612, + "grad_norm": 0.04638671875, + "learning_rate": 0.0012876391114031759, + "loss": 1.1434, + "step": 6865 + }, + { + "epoch": 0.6026259562084637, + "grad_norm": 0.07080078125, + "learning_rate": 0.001287230577929763, + "loss": 1.2709, + "step": 6866 + }, + { + "epoch": 0.6027137257913662, + "grad_norm": 0.072265625, + "learning_rate": 0.0012868220802602567, + "loss": 1.202, + "step": 6867 + }, + { + "epoch": 0.6028014953742687, + "grad_norm": 0.05615234375, + "learning_rate": 0.001286413618434974, + "loss": 1.147, + "step": 6868 + }, + { + "epoch": 0.6028892649571712, + "grad_norm": 0.05224609375, + "learning_rate": 0.0012860051924942282, + "loss": 1.1406, + "step": 6869 + }, + { + "epoch": 0.6029770345400737, + "grad_norm": 0.057861328125, + "learning_rate": 0.0012855968024783303, + "loss": 1.1262, + "step": 6870 + }, + { + "epoch": 0.6030648041229761, + "grad_norm": 0.0595703125, + "learning_rate": 0.0012851884484275857, + "loss": 1.1592, + "step": 6871 + }, + { + "epoch": 0.6031525737058786, + "grad_norm": 0.053955078125, + "learning_rate": 0.0012847801303822975, + "loss": 1.1824, + "step": 6872 + }, + { + "epoch": 0.6032403432887812, + "grad_norm": 0.05615234375, + "learning_rate": 0.0012843718483827658, + "loss": 1.1897, + "step": 6873 + }, + { + "epoch": 0.6033281128716836, + "grad_norm": 0.0654296875, + "learning_rate": 0.0012839636024692858, + "loss": 1.1865, + "step": 6874 + }, + { + "epoch": 0.6034158824545861, + "grad_norm": 0.07861328125, + "learning_rate": 0.00128355539268215, + "loss": 1.136, + "step": 6875 + }, + { + "epoch": 0.6035036520374886, + "grad_norm": 0.09423828125, + "learning_rate": 0.0012831472190616468, + "loss": 1.2101, + "step": 6876 + }, + { + "epoch": 0.603591421620391, + "grad_norm": 0.06689453125, + "learning_rate": 0.0012827390816480618, + "loss": 1.1872, + "step": 6877 + }, + { + "epoch": 0.6036791912032936, + "grad_norm": 0.051513671875, + "learning_rate": 0.0012823309804816758, + "loss": 1.2024, + "step": 6878 + }, + { + "epoch": 0.6037669607861961, + "grad_norm": 0.056396484375, + "learning_rate": 0.0012819229156027677, + "loss": 1.23, + "step": 6879 + }, + { + "epoch": 0.6038547303690985, + "grad_norm": 0.099609375, + "learning_rate": 0.0012815148870516113, + "loss": 1.2162, + "step": 6880 + }, + { + "epoch": 0.603942499952001, + "grad_norm": 0.05419921875, + "learning_rate": 0.0012811068948684772, + "loss": 1.1488, + "step": 6881 + }, + { + "epoch": 0.6040302695349035, + "grad_norm": 0.061767578125, + "learning_rate": 0.0012806989390936334, + "loss": 1.1787, + "step": 6882 + }, + { + "epoch": 0.6041180391178059, + "grad_norm": 0.05712890625, + "learning_rate": 0.0012802910197673425, + "loss": 1.1544, + "step": 6883 + }, + { + "epoch": 0.6042058087007085, + "grad_norm": 0.050537109375, + "learning_rate": 0.0012798831369298653, + "loss": 1.1484, + "step": 6884 + }, + { + "epoch": 0.604293578283611, + "grad_norm": 0.07470703125, + "learning_rate": 0.0012794752906214583, + "loss": 1.1653, + "step": 6885 + }, + { + "epoch": 0.6043813478665134, + "grad_norm": 0.04931640625, + "learning_rate": 0.0012790674808823741, + "loss": 1.1532, + "step": 6886 + }, + { + "epoch": 0.6044691174494159, + "grad_norm": 0.08740234375, + "learning_rate": 0.0012786597077528617, + "loss": 1.195, + "step": 6887 + }, + { + "epoch": 0.6045568870323184, + "grad_norm": 0.07421875, + "learning_rate": 0.0012782519712731665, + "loss": 1.1939, + "step": 6888 + }, + { + "epoch": 0.6046446566152209, + "grad_norm": 0.0478515625, + "learning_rate": 0.0012778442714835314, + "loss": 1.1468, + "step": 6889 + }, + { + "epoch": 0.6047324261981234, + "grad_norm": 0.09033203125, + "learning_rate": 0.0012774366084241937, + "loss": 1.1827, + "step": 6890 + }, + { + "epoch": 0.6048201957810259, + "grad_norm": 0.05517578125, + "learning_rate": 0.0012770289821353886, + "loss": 1.1516, + "step": 6891 + }, + { + "epoch": 0.6049079653639283, + "grad_norm": 0.054443359375, + "learning_rate": 0.0012766213926573473, + "loss": 1.1718, + "step": 6892 + }, + { + "epoch": 0.6049957349468308, + "grad_norm": 0.049072265625, + "learning_rate": 0.0012762138400302968, + "loss": 1.1408, + "step": 6893 + }, + { + "epoch": 0.6050835045297334, + "grad_norm": 0.064453125, + "learning_rate": 0.0012758063242944615, + "loss": 1.2192, + "step": 6894 + }, + { + "epoch": 0.6051712741126358, + "grad_norm": 0.05029296875, + "learning_rate": 0.0012753988454900617, + "loss": 1.2055, + "step": 6895 + }, + { + "epoch": 0.6052590436955383, + "grad_norm": 0.08056640625, + "learning_rate": 0.0012749914036573131, + "loss": 1.1719, + "step": 6896 + }, + { + "epoch": 0.6053468132784408, + "grad_norm": 0.04833984375, + "learning_rate": 0.0012745839988364297, + "loss": 1.1574, + "step": 6897 + }, + { + "epoch": 0.6054345828613432, + "grad_norm": 0.05712890625, + "learning_rate": 0.0012741766310676197, + "loss": 1.1822, + "step": 6898 + }, + { + "epoch": 0.6055223524442458, + "grad_norm": 0.051513671875, + "learning_rate": 0.00127376930039109, + "loss": 1.1132, + "step": 6899 + }, + { + "epoch": 0.6056101220271483, + "grad_norm": 0.07177734375, + "learning_rate": 0.0012733620068470406, + "loss": 1.1966, + "step": 6900 + }, + { + "epoch": 0.6056978916100507, + "grad_norm": 0.052001953125, + "learning_rate": 0.0012729547504756716, + "loss": 1.2122, + "step": 6901 + }, + { + "epoch": 0.6057856611929532, + "grad_norm": 0.060302734375, + "learning_rate": 0.0012725475313171766, + "loss": 1.1796, + "step": 6902 + }, + { + "epoch": 0.6058734307758556, + "grad_norm": 0.06787109375, + "learning_rate": 0.0012721403494117462, + "loss": 1.2022, + "step": 6903 + }, + { + "epoch": 0.6059612003587582, + "grad_norm": 0.053955078125, + "learning_rate": 0.0012717332047995687, + "loss": 1.1928, + "step": 6904 + }, + { + "epoch": 0.6060489699416607, + "grad_norm": 0.058837890625, + "learning_rate": 0.0012713260975208273, + "loss": 1.1812, + "step": 6905 + }, + { + "epoch": 0.6061367395245632, + "grad_norm": 0.0634765625, + "learning_rate": 0.0012709190276157013, + "loss": 1.1573, + "step": 6906 + }, + { + "epoch": 0.6062245091074656, + "grad_norm": 0.0576171875, + "learning_rate": 0.0012705119951243677, + "loss": 1.1236, + "step": 6907 + }, + { + "epoch": 0.6063122786903681, + "grad_norm": 0.052001953125, + "learning_rate": 0.0012701050000869989, + "loss": 1.1884, + "step": 6908 + }, + { + "epoch": 0.6064000482732705, + "grad_norm": 0.08935546875, + "learning_rate": 0.0012696980425437629, + "loss": 1.1617, + "step": 6909 + }, + { + "epoch": 0.6064878178561731, + "grad_norm": 0.052978515625, + "learning_rate": 0.0012692911225348255, + "loss": 1.1964, + "step": 6910 + }, + { + "epoch": 0.6065755874390756, + "grad_norm": 0.07958984375, + "learning_rate": 0.001268884240100348, + "loss": 1.1887, + "step": 6911 + }, + { + "epoch": 0.606663357021978, + "grad_norm": 0.049072265625, + "learning_rate": 0.0012684773952804877, + "loss": 1.2124, + "step": 6912 + }, + { + "epoch": 0.6067511266048805, + "grad_norm": 0.051025390625, + "learning_rate": 0.0012680705881153989, + "loss": 1.1838, + "step": 6913 + }, + { + "epoch": 0.606838896187783, + "grad_norm": 0.059814453125, + "learning_rate": 0.0012676638186452322, + "loss": 1.2104, + "step": 6914 + }, + { + "epoch": 0.6069266657706855, + "grad_norm": 0.052978515625, + "learning_rate": 0.0012672570869101333, + "loss": 1.2154, + "step": 6915 + }, + { + "epoch": 0.607014435353588, + "grad_norm": 0.058837890625, + "learning_rate": 0.001266850392950246, + "loss": 1.1772, + "step": 6916 + }, + { + "epoch": 0.6071022049364905, + "grad_norm": 0.0673828125, + "learning_rate": 0.0012664437368057086, + "loss": 1.1934, + "step": 6917 + }, + { + "epoch": 0.6071899745193929, + "grad_norm": 0.068359375, + "learning_rate": 0.0012660371185166568, + "loss": 1.1157, + "step": 6918 + }, + { + "epoch": 0.6072777441022954, + "grad_norm": 0.052734375, + "learning_rate": 0.0012656305381232224, + "loss": 1.1927, + "step": 6919 + }, + { + "epoch": 0.607365513685198, + "grad_norm": 0.060302734375, + "learning_rate": 0.0012652239956655324, + "loss": 1.1763, + "step": 6920 + }, + { + "epoch": 0.6074532832681004, + "grad_norm": 0.05224609375, + "learning_rate": 0.001264817491183712, + "loss": 1.1247, + "step": 6921 + }, + { + "epoch": 0.6075410528510029, + "grad_norm": 0.057373046875, + "learning_rate": 0.001264411024717881, + "loss": 1.2004, + "step": 6922 + }, + { + "epoch": 0.6076288224339054, + "grad_norm": 0.055908203125, + "learning_rate": 0.0012640045963081554, + "loss": 1.1899, + "step": 6923 + }, + { + "epoch": 0.6077165920168078, + "grad_norm": 0.052978515625, + "learning_rate": 0.00126359820599465, + "loss": 1.1362, + "step": 6924 + }, + { + "epoch": 0.6078043615997104, + "grad_norm": 0.08203125, + "learning_rate": 0.0012631918538174723, + "loss": 1.2031, + "step": 6925 + }, + { + "epoch": 0.6078921311826129, + "grad_norm": 0.0546875, + "learning_rate": 0.0012627855398167284, + "loss": 1.1759, + "step": 6926 + }, + { + "epoch": 0.6079799007655153, + "grad_norm": 0.05224609375, + "learning_rate": 0.001262379264032519, + "loss": 1.189, + "step": 6927 + }, + { + "epoch": 0.6080676703484178, + "grad_norm": 0.0703125, + "learning_rate": 0.001261973026504943, + "loss": 1.169, + "step": 6928 + }, + { + "epoch": 0.6081554399313203, + "grad_norm": 0.057373046875, + "learning_rate": 0.001261566827274094, + "loss": 1.2582, + "step": 6929 + }, + { + "epoch": 0.6082432095142228, + "grad_norm": 0.051025390625, + "learning_rate": 0.0012611606663800621, + "loss": 1.1666, + "step": 6930 + }, + { + "epoch": 0.6083309790971253, + "grad_norm": 0.068359375, + "learning_rate": 0.0012607545438629336, + "loss": 1.1363, + "step": 6931 + }, + { + "epoch": 0.6084187486800278, + "grad_norm": 0.078125, + "learning_rate": 0.0012603484597627913, + "loss": 1.2544, + "step": 6932 + }, + { + "epoch": 0.6085065182629302, + "grad_norm": 0.07421875, + "learning_rate": 0.0012599424141197142, + "loss": 1.2262, + "step": 6933 + }, + { + "epoch": 0.6085942878458327, + "grad_norm": 0.05029296875, + "learning_rate": 0.001259536406973778, + "loss": 1.1832, + "step": 6934 + }, + { + "epoch": 0.6086820574287353, + "grad_norm": 0.0732421875, + "learning_rate": 0.001259130438365053, + "loss": 1.1963, + "step": 6935 + }, + { + "epoch": 0.6087698270116377, + "grad_norm": 0.06982421875, + "learning_rate": 0.0012587245083336078, + "loss": 1.2135, + "step": 6936 + }, + { + "epoch": 0.6088575965945402, + "grad_norm": 0.07275390625, + "learning_rate": 0.001258318616919505, + "loss": 1.1336, + "step": 6937 + }, + { + "epoch": 0.6089453661774427, + "grad_norm": 0.051025390625, + "learning_rate": 0.0012579127641628048, + "loss": 1.2023, + "step": 6938 + }, + { + "epoch": 0.6090331357603451, + "grad_norm": 0.06982421875, + "learning_rate": 0.0012575069501035633, + "loss": 1.1661, + "step": 6939 + }, + { + "epoch": 0.6091209053432476, + "grad_norm": 0.0537109375, + "learning_rate": 0.0012571011747818334, + "loss": 1.1614, + "step": 6940 + }, + { + "epoch": 0.6092086749261502, + "grad_norm": 0.05224609375, + "learning_rate": 0.0012566954382376623, + "loss": 1.2206, + "step": 6941 + }, + { + "epoch": 0.6092964445090526, + "grad_norm": 0.04931640625, + "learning_rate": 0.0012562897405110959, + "loss": 1.1611, + "step": 6942 + }, + { + "epoch": 0.6093842140919551, + "grad_norm": 0.06884765625, + "learning_rate": 0.0012558840816421734, + "loss": 1.2571, + "step": 6943 + }, + { + "epoch": 0.6094719836748576, + "grad_norm": 0.06201171875, + "learning_rate": 0.0012554784616709328, + "loss": 1.2077, + "step": 6944 + }, + { + "epoch": 0.60955975325776, + "grad_norm": 0.0673828125, + "learning_rate": 0.001255072880637407, + "loss": 1.1752, + "step": 6945 + }, + { + "epoch": 0.6096475228406626, + "grad_norm": 0.11669921875, + "learning_rate": 0.0012546673385816255, + "loss": 1.1764, + "step": 6946 + }, + { + "epoch": 0.6097352924235651, + "grad_norm": 0.05419921875, + "learning_rate": 0.0012542618355436133, + "loss": 1.2131, + "step": 6947 + }, + { + "epoch": 0.6098230620064675, + "grad_norm": 0.06396484375, + "learning_rate": 0.0012538563715633925, + "loss": 1.1926, + "step": 6948 + }, + { + "epoch": 0.60991083158937, + "grad_norm": 0.11083984375, + "learning_rate": 0.0012534509466809798, + "loss": 1.2021, + "step": 6949 + }, + { + "epoch": 0.6099986011722724, + "grad_norm": 0.047607421875, + "learning_rate": 0.00125304556093639, + "loss": 1.1673, + "step": 6950 + }, + { + "epoch": 0.610086370755175, + "grad_norm": 0.083984375, + "learning_rate": 0.0012526402143696322, + "loss": 1.1362, + "step": 6951 + }, + { + "epoch": 0.6101741403380775, + "grad_norm": 0.078125, + "learning_rate": 0.0012522349070207136, + "loss": 1.1588, + "step": 6952 + }, + { + "epoch": 0.61026190992098, + "grad_norm": 0.051025390625, + "learning_rate": 0.001251829638929635, + "loss": 1.1073, + "step": 6953 + }, + { + "epoch": 0.6103496795038824, + "grad_norm": 0.05615234375, + "learning_rate": 0.0012514244101363959, + "loss": 1.1571, + "step": 6954 + }, + { + "epoch": 0.6104374490867849, + "grad_norm": 0.06982421875, + "learning_rate": 0.0012510192206809905, + "loss": 1.1134, + "step": 6955 + }, + { + "epoch": 0.6105252186696875, + "grad_norm": 0.0595703125, + "learning_rate": 0.0012506140706034096, + "loss": 1.1792, + "step": 6956 + }, + { + "epoch": 0.6106129882525899, + "grad_norm": 0.0556640625, + "learning_rate": 0.0012502089599436392, + "loss": 1.1976, + "step": 6957 + }, + { + "epoch": 0.6107007578354924, + "grad_norm": 0.10302734375, + "learning_rate": 0.001249803888741663, + "loss": 1.2081, + "step": 6958 + }, + { + "epoch": 0.6107885274183948, + "grad_norm": 0.1025390625, + "learning_rate": 0.001249398857037459, + "loss": 1.1679, + "step": 6959 + }, + { + "epoch": 0.6108762970012973, + "grad_norm": 0.0498046875, + "learning_rate": 0.0012489938648710033, + "loss": 1.2241, + "step": 6960 + }, + { + "epoch": 0.6109640665841999, + "grad_norm": 0.09716796875, + "learning_rate": 0.0012485889122822661, + "loss": 1.1419, + "step": 6961 + }, + { + "epoch": 0.6110518361671023, + "grad_norm": 0.0908203125, + "learning_rate": 0.0012481839993112149, + "loss": 1.2416, + "step": 6962 + }, + { + "epoch": 0.6111396057500048, + "grad_norm": 0.0703125, + "learning_rate": 0.0012477791259978127, + "loss": 1.1659, + "step": 6963 + }, + { + "epoch": 0.6112273753329073, + "grad_norm": 0.064453125, + "learning_rate": 0.0012473742923820195, + "loss": 1.2044, + "step": 6964 + }, + { + "epoch": 0.6113151449158097, + "grad_norm": 0.091796875, + "learning_rate": 0.0012469694985037909, + "loss": 1.1876, + "step": 6965 + }, + { + "epoch": 0.6114029144987122, + "grad_norm": 0.09521484375, + "learning_rate": 0.0012465647444030777, + "loss": 1.1839, + "step": 6966 + }, + { + "epoch": 0.6114906840816148, + "grad_norm": 0.06396484375, + "learning_rate": 0.0012461600301198284, + "loss": 1.1819, + "step": 6967 + }, + { + "epoch": 0.6115784536645172, + "grad_norm": 0.07080078125, + "learning_rate": 0.0012457553556939856, + "loss": 1.1562, + "step": 6968 + }, + { + "epoch": 0.6116662232474197, + "grad_norm": 0.07763671875, + "learning_rate": 0.0012453507211654905, + "loss": 1.2251, + "step": 6969 + }, + { + "epoch": 0.6117539928303222, + "grad_norm": 0.0595703125, + "learning_rate": 0.0012449461265742773, + "loss": 1.2239, + "step": 6970 + }, + { + "epoch": 0.6118417624132246, + "grad_norm": 0.091796875, + "learning_rate": 0.0012445415719602787, + "loss": 1.245, + "step": 6971 + }, + { + "epoch": 0.6119295319961272, + "grad_norm": 0.052490234375, + "learning_rate": 0.0012441370573634235, + "loss": 1.104, + "step": 6972 + }, + { + "epoch": 0.6120173015790297, + "grad_norm": 0.12060546875, + "learning_rate": 0.0012437325828236338, + "loss": 1.1802, + "step": 6973 + }, + { + "epoch": 0.6121050711619321, + "grad_norm": 0.0654296875, + "learning_rate": 0.0012433281483808308, + "loss": 1.1566, + "step": 6974 + }, + { + "epoch": 0.6121928407448346, + "grad_norm": 0.05712890625, + "learning_rate": 0.0012429237540749311, + "loss": 1.1638, + "step": 6975 + }, + { + "epoch": 0.6122806103277371, + "grad_norm": 0.0859375, + "learning_rate": 0.0012425193999458454, + "loss": 1.1968, + "step": 6976 + }, + { + "epoch": 0.6123683799106396, + "grad_norm": 0.06689453125, + "learning_rate": 0.0012421150860334833, + "loss": 1.1615, + "step": 6977 + }, + { + "epoch": 0.6124561494935421, + "grad_norm": 0.058837890625, + "learning_rate": 0.001241710812377748, + "loss": 1.1369, + "step": 6978 + }, + { + "epoch": 0.6125439190764446, + "grad_norm": 0.06103515625, + "learning_rate": 0.00124130657901854, + "loss": 1.207, + "step": 6979 + }, + { + "epoch": 0.612631688659347, + "grad_norm": 0.0537109375, + "learning_rate": 0.0012409023859957556, + "loss": 1.2347, + "step": 6980 + }, + { + "epoch": 0.6127194582422495, + "grad_norm": 0.053466796875, + "learning_rate": 0.001240498233349287, + "loss": 1.1474, + "step": 6981 + }, + { + "epoch": 0.6128072278251521, + "grad_norm": 0.052490234375, + "learning_rate": 0.001240094121119022, + "loss": 1.1375, + "step": 6982 + }, + { + "epoch": 0.6128949974080545, + "grad_norm": 0.056396484375, + "learning_rate": 0.0012396900493448452, + "loss": 1.1284, + "step": 6983 + }, + { + "epoch": 0.612982766990957, + "grad_norm": 0.06494140625, + "learning_rate": 0.0012392860180666374, + "loss": 1.1544, + "step": 6984 + }, + { + "epoch": 0.6130705365738595, + "grad_norm": 0.05908203125, + "learning_rate": 0.0012388820273242747, + "loss": 1.098, + "step": 6985 + }, + { + "epoch": 0.6131583061567619, + "grad_norm": 0.1005859375, + "learning_rate": 0.0012384780771576291, + "loss": 1.215, + "step": 6986 + }, + { + "epoch": 0.6132460757396645, + "grad_norm": 0.062255859375, + "learning_rate": 0.0012380741676065693, + "loss": 1.1714, + "step": 6987 + }, + { + "epoch": 0.613333845322567, + "grad_norm": 0.07421875, + "learning_rate": 0.0012376702987109587, + "loss": 1.1642, + "step": 6988 + }, + { + "epoch": 0.6134216149054694, + "grad_norm": 0.0869140625, + "learning_rate": 0.0012372664705106587, + "loss": 1.1549, + "step": 6989 + }, + { + "epoch": 0.6135093844883719, + "grad_norm": 0.058837890625, + "learning_rate": 0.0012368626830455243, + "loss": 1.1274, + "step": 6990 + }, + { + "epoch": 0.6135971540712744, + "grad_norm": 0.056884765625, + "learning_rate": 0.0012364589363554087, + "loss": 1.1514, + "step": 6991 + }, + { + "epoch": 0.6136849236541768, + "grad_norm": 0.07568359375, + "learning_rate": 0.0012360552304801597, + "loss": 1.257, + "step": 6992 + }, + { + "epoch": 0.6137726932370794, + "grad_norm": 0.04736328125, + "learning_rate": 0.0012356515654596211, + "loss": 1.1884, + "step": 6993 + }, + { + "epoch": 0.6138604628199819, + "grad_norm": 0.04638671875, + "learning_rate": 0.0012352479413336342, + "loss": 1.1473, + "step": 6994 + }, + { + "epoch": 0.6139482324028843, + "grad_norm": 0.0478515625, + "learning_rate": 0.0012348443581420342, + "loss": 1.1769, + "step": 6995 + }, + { + "epoch": 0.6140360019857868, + "grad_norm": 0.0634765625, + "learning_rate": 0.001234440815924653, + "loss": 1.2072, + "step": 6996 + }, + { + "epoch": 0.6141237715686892, + "grad_norm": 0.05419921875, + "learning_rate": 0.0012340373147213194, + "loss": 1.2169, + "step": 6997 + }, + { + "epoch": 0.6142115411515918, + "grad_norm": 0.0537109375, + "learning_rate": 0.001233633854571857, + "loss": 1.202, + "step": 6998 + }, + { + "epoch": 0.6142993107344943, + "grad_norm": 0.0478515625, + "learning_rate": 0.0012332304355160857, + "loss": 1.1562, + "step": 6999 + }, + { + "epoch": 0.6143870803173967, + "grad_norm": 0.0732421875, + "learning_rate": 0.0012328270575938213, + "loss": 1.2086, + "step": 7000 + }, + { + "epoch": 0.6143870803173967, + "eval_loss": 1.1626135110855103, + "eval_runtime": 437.5685, + "eval_samples_per_second": 33.686, + "eval_steps_per_second": 8.422, + "step": 7000 + }, + { + "epoch": 0.6144748499002992, + "grad_norm": 0.048095703125, + "learning_rate": 0.0012324237208448756, + "loss": 1.1551, + "step": 7001 + }, + { + "epoch": 0.6145626194832017, + "grad_norm": 0.05859375, + "learning_rate": 0.0012320204253090563, + "loss": 1.0825, + "step": 7002 + }, + { + "epoch": 0.6146503890661043, + "grad_norm": 0.050537109375, + "learning_rate": 0.0012316171710261671, + "loss": 1.149, + "step": 7003 + }, + { + "epoch": 0.6147381586490067, + "grad_norm": 0.04833984375, + "learning_rate": 0.0012312139580360076, + "loss": 1.1136, + "step": 7004 + }, + { + "epoch": 0.6148259282319092, + "grad_norm": 0.046875, + "learning_rate": 0.0012308107863783732, + "loss": 1.216, + "step": 7005 + }, + { + "epoch": 0.6149136978148116, + "grad_norm": 0.052001953125, + "learning_rate": 0.0012304076560930562, + "loss": 1.1774, + "step": 7006 + }, + { + "epoch": 0.6150014673977141, + "grad_norm": 0.07275390625, + "learning_rate": 0.0012300045672198427, + "loss": 1.1624, + "step": 7007 + }, + { + "epoch": 0.6150892369806167, + "grad_norm": 0.05810546875, + "learning_rate": 0.0012296015197985168, + "loss": 1.1852, + "step": 7008 + }, + { + "epoch": 0.6151770065635191, + "grad_norm": 0.06591796875, + "learning_rate": 0.0012291985138688578, + "loss": 1.1813, + "step": 7009 + }, + { + "epoch": 0.6152647761464216, + "grad_norm": 0.0615234375, + "learning_rate": 0.0012287955494706402, + "loss": 1.1634, + "step": 7010 + }, + { + "epoch": 0.6153525457293241, + "grad_norm": 0.046630859375, + "learning_rate": 0.0012283926266436352, + "loss": 1.1131, + "step": 7011 + }, + { + "epoch": 0.6154403153122265, + "grad_norm": 0.0927734375, + "learning_rate": 0.0012279897454276097, + "loss": 1.2027, + "step": 7012 + }, + { + "epoch": 0.6155280848951291, + "grad_norm": 0.0693359375, + "learning_rate": 0.0012275869058623265, + "loss": 1.1554, + "step": 7013 + }, + { + "epoch": 0.6156158544780316, + "grad_norm": 0.054931640625, + "learning_rate": 0.0012271841079875441, + "loss": 1.1583, + "step": 7014 + }, + { + "epoch": 0.615703624060934, + "grad_norm": 0.087890625, + "learning_rate": 0.0012267813518430175, + "loss": 1.1623, + "step": 7015 + }, + { + "epoch": 0.6157913936438365, + "grad_norm": 0.08203125, + "learning_rate": 0.001226378637468497, + "loss": 1.1714, + "step": 7016 + }, + { + "epoch": 0.615879163226739, + "grad_norm": 0.06494140625, + "learning_rate": 0.0012259759649037286, + "loss": 1.2085, + "step": 7017 + }, + { + "epoch": 0.6159669328096415, + "grad_norm": 0.10546875, + "learning_rate": 0.001225573334188455, + "loss": 1.2005, + "step": 7018 + }, + { + "epoch": 0.616054702392544, + "grad_norm": 0.056640625, + "learning_rate": 0.0012251707453624135, + "loss": 1.1492, + "step": 7019 + }, + { + "epoch": 0.6161424719754465, + "grad_norm": 0.055419921875, + "learning_rate": 0.001224768198465339, + "loss": 1.1463, + "step": 7020 + }, + { + "epoch": 0.6162302415583489, + "grad_norm": 0.05419921875, + "learning_rate": 0.0012243656935369603, + "loss": 1.1612, + "step": 7021 + }, + { + "epoch": 0.6163180111412514, + "grad_norm": 0.08203125, + "learning_rate": 0.0012239632306170034, + "loss": 1.1562, + "step": 7022 + }, + { + "epoch": 0.6164057807241539, + "grad_norm": 0.0634765625, + "learning_rate": 0.0012235608097451904, + "loss": 1.217, + "step": 7023 + }, + { + "epoch": 0.6164935503070564, + "grad_norm": 0.059814453125, + "learning_rate": 0.0012231584309612374, + "loss": 1.1732, + "step": 7024 + }, + { + "epoch": 0.6165813198899589, + "grad_norm": 0.054931640625, + "learning_rate": 0.0012227560943048586, + "loss": 1.17, + "step": 7025 + }, + { + "epoch": 0.6166690894728614, + "grad_norm": 0.048095703125, + "learning_rate": 0.001222353799815763, + "loss": 1.1783, + "step": 7026 + }, + { + "epoch": 0.6167568590557638, + "grad_norm": 0.056396484375, + "learning_rate": 0.0012219515475336556, + "loss": 1.1842, + "step": 7027 + }, + { + "epoch": 0.6168446286386663, + "grad_norm": 0.06689453125, + "learning_rate": 0.0012215493374982363, + "loss": 1.168, + "step": 7028 + }, + { + "epoch": 0.6169323982215689, + "grad_norm": 0.05859375, + "learning_rate": 0.001221147169749202, + "loss": 1.1954, + "step": 7029 + }, + { + "epoch": 0.6170201678044713, + "grad_norm": 0.0673828125, + "learning_rate": 0.0012207450443262454, + "loss": 1.1376, + "step": 7030 + }, + { + "epoch": 0.6171079373873738, + "grad_norm": 0.052001953125, + "learning_rate": 0.0012203429612690545, + "loss": 1.1539, + "step": 7031 + }, + { + "epoch": 0.6171957069702763, + "grad_norm": 0.04736328125, + "learning_rate": 0.0012199409206173132, + "loss": 1.1465, + "step": 7032 + }, + { + "epoch": 0.6172834765531787, + "grad_norm": 0.052001953125, + "learning_rate": 0.001219538922410701, + "loss": 1.1975, + "step": 7033 + }, + { + "epoch": 0.6173712461360813, + "grad_norm": 0.059814453125, + "learning_rate": 0.0012191369666888939, + "loss": 1.2356, + "step": 7034 + }, + { + "epoch": 0.6174590157189838, + "grad_norm": 0.05419921875, + "learning_rate": 0.0012187350534915637, + "loss": 1.1875, + "step": 7035 + }, + { + "epoch": 0.6175467853018862, + "grad_norm": 0.048828125, + "learning_rate": 0.0012183331828583774, + "loss": 1.1797, + "step": 7036 + }, + { + "epoch": 0.6176345548847887, + "grad_norm": 0.051513671875, + "learning_rate": 0.0012179313548289976, + "loss": 1.1666, + "step": 7037 + }, + { + "epoch": 0.6177223244676912, + "grad_norm": 0.0595703125, + "learning_rate": 0.001217529569443084, + "loss": 1.1897, + "step": 7038 + }, + { + "epoch": 0.6178100940505937, + "grad_norm": 0.051513671875, + "learning_rate": 0.0012171278267402903, + "loss": 1.1942, + "step": 7039 + }, + { + "epoch": 0.6178978636334962, + "grad_norm": 0.047607421875, + "learning_rate": 0.0012167261267602674, + "loss": 1.1504, + "step": 7040 + }, + { + "epoch": 0.6179856332163987, + "grad_norm": 0.1396484375, + "learning_rate": 0.0012163244695426614, + "loss": 1.1722, + "step": 7041 + }, + { + "epoch": 0.6180734027993011, + "grad_norm": 0.050537109375, + "learning_rate": 0.0012159228551271144, + "loss": 1.2184, + "step": 7042 + }, + { + "epoch": 0.6181611723822036, + "grad_norm": 0.054931640625, + "learning_rate": 0.0012155212835532638, + "loss": 1.1419, + "step": 7043 + }, + { + "epoch": 0.6182489419651062, + "grad_norm": 0.048583984375, + "learning_rate": 0.0012151197548607433, + "loss": 1.1749, + "step": 7044 + }, + { + "epoch": 0.6183367115480086, + "grad_norm": 0.059326171875, + "learning_rate": 0.0012147182690891822, + "loss": 1.2015, + "step": 7045 + }, + { + "epoch": 0.6184244811309111, + "grad_norm": 0.048583984375, + "learning_rate": 0.001214316826278206, + "loss": 1.209, + "step": 7046 + }, + { + "epoch": 0.6185122507138135, + "grad_norm": 0.052001953125, + "learning_rate": 0.0012139154264674346, + "loss": 1.1297, + "step": 7047 + }, + { + "epoch": 0.618600020296716, + "grad_norm": 0.0673828125, + "learning_rate": 0.0012135140696964857, + "loss": 1.2132, + "step": 7048 + }, + { + "epoch": 0.6186877898796185, + "grad_norm": 0.049560546875, + "learning_rate": 0.001213112756004971, + "loss": 1.1788, + "step": 7049 + }, + { + "epoch": 0.618775559462521, + "grad_norm": 0.06396484375, + "learning_rate": 0.0012127114854324987, + "loss": 1.1229, + "step": 7050 + }, + { + "epoch": 0.6188633290454235, + "grad_norm": 0.0634765625, + "learning_rate": 0.0012123102580186718, + "loss": 1.171, + "step": 7051 + }, + { + "epoch": 0.618951098628326, + "grad_norm": 0.051513671875, + "learning_rate": 0.0012119090738030914, + "loss": 1.2009, + "step": 7052 + }, + { + "epoch": 0.6190388682112284, + "grad_norm": 0.0673828125, + "learning_rate": 0.0012115079328253514, + "loss": 1.1406, + "step": 7053 + }, + { + "epoch": 0.6191266377941309, + "grad_norm": 0.060302734375, + "learning_rate": 0.0012111068351250435, + "loss": 1.2315, + "step": 7054 + }, + { + "epoch": 0.6192144073770335, + "grad_norm": 0.048095703125, + "learning_rate": 0.0012107057807417545, + "loss": 1.1688, + "step": 7055 + }, + { + "epoch": 0.619302176959936, + "grad_norm": 0.08740234375, + "learning_rate": 0.0012103047697150666, + "loss": 1.1374, + "step": 7056 + }, + { + "epoch": 0.6193899465428384, + "grad_norm": 0.07470703125, + "learning_rate": 0.0012099038020845585, + "loss": 1.1608, + "step": 7057 + }, + { + "epoch": 0.6194777161257409, + "grad_norm": 0.07275390625, + "learning_rate": 0.0012095028778898035, + "loss": 1.1209, + "step": 7058 + }, + { + "epoch": 0.6195654857086433, + "grad_norm": 0.09130859375, + "learning_rate": 0.0012091019971703712, + "loss": 1.1819, + "step": 7059 + }, + { + "epoch": 0.6196532552915459, + "grad_norm": 0.055908203125, + "learning_rate": 0.0012087011599658279, + "loss": 1.2097, + "step": 7060 + }, + { + "epoch": 0.6197410248744484, + "grad_norm": 0.05322265625, + "learning_rate": 0.0012083003663157336, + "loss": 1.1062, + "step": 7061 + }, + { + "epoch": 0.6198287944573508, + "grad_norm": 0.07666015625, + "learning_rate": 0.0012078996162596454, + "loss": 1.2385, + "step": 7062 + }, + { + "epoch": 0.6199165640402533, + "grad_norm": 0.0517578125, + "learning_rate": 0.001207498909837116, + "loss": 1.1682, + "step": 7063 + }, + { + "epoch": 0.6200043336231558, + "grad_norm": 0.056640625, + "learning_rate": 0.0012070982470876927, + "loss": 1.1455, + "step": 7064 + }, + { + "epoch": 0.6200921032060583, + "grad_norm": 0.09521484375, + "learning_rate": 0.0012066976280509206, + "loss": 1.211, + "step": 7065 + }, + { + "epoch": 0.6201798727889608, + "grad_norm": 0.0576171875, + "learning_rate": 0.001206297052766338, + "loss": 1.1755, + "step": 7066 + }, + { + "epoch": 0.6202676423718633, + "grad_norm": 0.05810546875, + "learning_rate": 0.0012058965212734813, + "loss": 1.1466, + "step": 7067 + }, + { + "epoch": 0.6203554119547657, + "grad_norm": 0.08251953125, + "learning_rate": 0.0012054960336118806, + "loss": 1.2203, + "step": 7068 + }, + { + "epoch": 0.6204431815376682, + "grad_norm": 0.0859375, + "learning_rate": 0.0012050955898210622, + "loss": 1.1433, + "step": 7069 + }, + { + "epoch": 0.6205309511205708, + "grad_norm": 0.08154296875, + "learning_rate": 0.0012046951899405487, + "loss": 1.1716, + "step": 7070 + }, + { + "epoch": 0.6206187207034732, + "grad_norm": 0.07666015625, + "learning_rate": 0.0012042948340098582, + "loss": 1.2205, + "step": 7071 + }, + { + "epoch": 0.6207064902863757, + "grad_norm": 0.06103515625, + "learning_rate": 0.0012038945220685042, + "loss": 1.1083, + "step": 7072 + }, + { + "epoch": 0.6207942598692782, + "grad_norm": 0.0732421875, + "learning_rate": 0.0012034942541559951, + "loss": 1.1904, + "step": 7073 + }, + { + "epoch": 0.6208820294521806, + "grad_norm": 0.09130859375, + "learning_rate": 0.0012030940303118366, + "loss": 1.1444, + "step": 7074 + }, + { + "epoch": 0.6209697990350832, + "grad_norm": 0.050537109375, + "learning_rate": 0.0012026938505755292, + "loss": 1.1139, + "step": 7075 + }, + { + "epoch": 0.6210575686179857, + "grad_norm": 0.0595703125, + "learning_rate": 0.0012022937149865688, + "loss": 1.1869, + "step": 7076 + }, + { + "epoch": 0.6211453382008881, + "grad_norm": 0.061767578125, + "learning_rate": 0.0012018936235844474, + "loss": 1.1757, + "step": 7077 + }, + { + "epoch": 0.6212331077837906, + "grad_norm": 0.06591796875, + "learning_rate": 0.0012014935764086518, + "loss": 1.2213, + "step": 7078 + }, + { + "epoch": 0.6213208773666931, + "grad_norm": 0.06201171875, + "learning_rate": 0.0012010935734986662, + "loss": 1.1876, + "step": 7079 + }, + { + "epoch": 0.6214086469495955, + "grad_norm": 0.064453125, + "learning_rate": 0.001200693614893968, + "loss": 1.1851, + "step": 7080 + }, + { + "epoch": 0.6214964165324981, + "grad_norm": 0.0634765625, + "learning_rate": 0.0012002937006340328, + "loss": 1.1814, + "step": 7081 + }, + { + "epoch": 0.6215841861154006, + "grad_norm": 0.06640625, + "learning_rate": 0.0011998938307583296, + "loss": 1.1454, + "step": 7082 + }, + { + "epoch": 0.621671955698303, + "grad_norm": 0.0693359375, + "learning_rate": 0.0011994940053063248, + "loss": 1.1838, + "step": 7083 + }, + { + "epoch": 0.6217597252812055, + "grad_norm": 0.052978515625, + "learning_rate": 0.001199094224317478, + "loss": 1.1797, + "step": 7084 + }, + { + "epoch": 0.621847494864108, + "grad_norm": 0.06396484375, + "learning_rate": 0.0011986944878312478, + "loss": 1.1387, + "step": 7085 + }, + { + "epoch": 0.6219352644470105, + "grad_norm": 0.052001953125, + "learning_rate": 0.001198294795887086, + "loss": 1.179, + "step": 7086 + }, + { + "epoch": 0.622023034029913, + "grad_norm": 0.07177734375, + "learning_rate": 0.0011978951485244406, + "loss": 1.1901, + "step": 7087 + }, + { + "epoch": 0.6221108036128155, + "grad_norm": 0.08740234375, + "learning_rate": 0.001197495545782755, + "loss": 1.1671, + "step": 7088 + }, + { + "epoch": 0.6221985731957179, + "grad_norm": 0.060791015625, + "learning_rate": 0.0011970959877014686, + "loss": 1.1593, + "step": 7089 + }, + { + "epoch": 0.6222863427786204, + "grad_norm": 0.06298828125, + "learning_rate": 0.0011966964743200161, + "loss": 1.1958, + "step": 7090 + }, + { + "epoch": 0.622374112361523, + "grad_norm": 0.0498046875, + "learning_rate": 0.0011962970056778282, + "loss": 1.1678, + "step": 7091 + }, + { + "epoch": 0.6224618819444254, + "grad_norm": 0.050537109375, + "learning_rate": 0.0011958975818143305, + "loss": 1.1732, + "step": 7092 + }, + { + "epoch": 0.6225496515273279, + "grad_norm": 0.0625, + "learning_rate": 0.001195498202768945, + "loss": 1.1991, + "step": 7093 + }, + { + "epoch": 0.6226374211102303, + "grad_norm": 0.07958984375, + "learning_rate": 0.0011950988685810878, + "loss": 1.1727, + "step": 7094 + }, + { + "epoch": 0.6227251906931328, + "grad_norm": 0.080078125, + "learning_rate": 0.0011946995792901723, + "loss": 1.2144, + "step": 7095 + }, + { + "epoch": 0.6228129602760354, + "grad_norm": 0.049072265625, + "learning_rate": 0.0011943003349356074, + "loss": 1.1591, + "step": 7096 + }, + { + "epoch": 0.6229007298589379, + "grad_norm": 0.078125, + "learning_rate": 0.001193901135556796, + "loss": 1.1556, + "step": 7097 + }, + { + "epoch": 0.6229884994418403, + "grad_norm": 0.058837890625, + "learning_rate": 0.0011935019811931376, + "loss": 1.119, + "step": 7098 + }, + { + "epoch": 0.6230762690247428, + "grad_norm": 0.046630859375, + "learning_rate": 0.001193102871884028, + "loss": 1.1157, + "step": 7099 + }, + { + "epoch": 0.6231640386076452, + "grad_norm": 0.048583984375, + "learning_rate": 0.0011927038076688567, + "loss": 1.1643, + "step": 7100 + }, + { + "epoch": 0.6232518081905478, + "grad_norm": 0.056884765625, + "learning_rate": 0.0011923047885870105, + "loss": 1.1637, + "step": 7101 + }, + { + "epoch": 0.6233395777734503, + "grad_norm": 0.05029296875, + "learning_rate": 0.0011919058146778706, + "loss": 1.1633, + "step": 7102 + }, + { + "epoch": 0.6234273473563527, + "grad_norm": 0.052978515625, + "learning_rate": 0.0011915068859808138, + "loss": 1.139, + "step": 7103 + }, + { + "epoch": 0.6235151169392552, + "grad_norm": 0.052734375, + "learning_rate": 0.0011911080025352133, + "loss": 1.1971, + "step": 7104 + }, + { + "epoch": 0.6236028865221577, + "grad_norm": 0.07861328125, + "learning_rate": 0.001190709164380437, + "loss": 1.1467, + "step": 7105 + }, + { + "epoch": 0.6236906561050601, + "grad_norm": 0.04736328125, + "learning_rate": 0.0011903103715558492, + "loss": 1.1477, + "step": 7106 + }, + { + "epoch": 0.6237784256879627, + "grad_norm": 0.055419921875, + "learning_rate": 0.0011899116241008087, + "loss": 1.2083, + "step": 7107 + }, + { + "epoch": 0.6238661952708652, + "grad_norm": 0.0634765625, + "learning_rate": 0.0011895129220546709, + "loss": 1.142, + "step": 7108 + }, + { + "epoch": 0.6239539648537676, + "grad_norm": 0.053955078125, + "learning_rate": 0.001189114265456785, + "loss": 1.1692, + "step": 7109 + }, + { + "epoch": 0.6240417344366701, + "grad_norm": 0.06640625, + "learning_rate": 0.0011887156543464977, + "loss": 1.1451, + "step": 7110 + }, + { + "epoch": 0.6241295040195726, + "grad_norm": 0.045166015625, + "learning_rate": 0.0011883170887631502, + "loss": 1.1768, + "step": 7111 + }, + { + "epoch": 0.6242172736024751, + "grad_norm": 0.053466796875, + "learning_rate": 0.001187918568746079, + "loss": 1.2109, + "step": 7112 + }, + { + "epoch": 0.6243050431853776, + "grad_norm": 0.052490234375, + "learning_rate": 0.001187520094334617, + "loss": 1.2208, + "step": 7113 + }, + { + "epoch": 0.6243928127682801, + "grad_norm": 0.04931640625, + "learning_rate": 0.0011871216655680915, + "loss": 1.1855, + "step": 7114 + }, + { + "epoch": 0.6244805823511825, + "grad_norm": 0.046875, + "learning_rate": 0.0011867232824858257, + "loss": 1.1644, + "step": 7115 + }, + { + "epoch": 0.624568351934085, + "grad_norm": 0.062255859375, + "learning_rate": 0.0011863249451271398, + "loss": 1.1479, + "step": 7116 + }, + { + "epoch": 0.6246561215169876, + "grad_norm": 0.05908203125, + "learning_rate": 0.0011859266535313464, + "loss": 1.1568, + "step": 7117 + }, + { + "epoch": 0.62474389109989, + "grad_norm": 0.047119140625, + "learning_rate": 0.0011855284077377565, + "loss": 1.1773, + "step": 7118 + }, + { + "epoch": 0.6248316606827925, + "grad_norm": 0.047119140625, + "learning_rate": 0.0011851302077856747, + "loss": 1.2027, + "step": 7119 + }, + { + "epoch": 0.624919430265695, + "grad_norm": 0.048583984375, + "learning_rate": 0.0011847320537144023, + "loss": 1.184, + "step": 7120 + }, + { + "epoch": 0.6250071998485974, + "grad_norm": 0.057373046875, + "learning_rate": 0.0011843339455632348, + "loss": 1.2443, + "step": 7121 + }, + { + "epoch": 0.6250949694315, + "grad_norm": 0.0498046875, + "learning_rate": 0.0011839358833714648, + "loss": 1.1715, + "step": 7122 + }, + { + "epoch": 0.6251827390144025, + "grad_norm": 0.052734375, + "learning_rate": 0.0011835378671783785, + "loss": 1.2384, + "step": 7123 + }, + { + "epoch": 0.6252705085973049, + "grad_norm": 0.0556640625, + "learning_rate": 0.0011831398970232588, + "loss": 1.1786, + "step": 7124 + }, + { + "epoch": 0.6253582781802074, + "grad_norm": 0.06103515625, + "learning_rate": 0.0011827419729453844, + "loss": 1.1308, + "step": 7125 + }, + { + "epoch": 0.6254460477631099, + "grad_norm": 0.05029296875, + "learning_rate": 0.0011823440949840286, + "loss": 1.1781, + "step": 7126 + }, + { + "epoch": 0.6255338173460124, + "grad_norm": 0.048095703125, + "learning_rate": 0.0011819462631784598, + "loss": 1.1174, + "step": 7127 + }, + { + "epoch": 0.6256215869289149, + "grad_norm": 0.0478515625, + "learning_rate": 0.0011815484775679435, + "loss": 1.1721, + "step": 7128 + }, + { + "epoch": 0.6257093565118174, + "grad_norm": 0.052734375, + "learning_rate": 0.0011811507381917382, + "loss": 1.1676, + "step": 7129 + }, + { + "epoch": 0.6257971260947198, + "grad_norm": 0.056640625, + "learning_rate": 0.0011807530450891, + "loss": 1.1665, + "step": 7130 + }, + { + "epoch": 0.6258848956776223, + "grad_norm": 0.056396484375, + "learning_rate": 0.0011803553982992797, + "loss": 1.1673, + "step": 7131 + }, + { + "epoch": 0.6259726652605248, + "grad_norm": 0.052978515625, + "learning_rate": 0.0011799577978615235, + "loss": 1.1472, + "step": 7132 + }, + { + "epoch": 0.6260604348434273, + "grad_norm": 0.05126953125, + "learning_rate": 0.0011795602438150726, + "loss": 1.1204, + "step": 7133 + }, + { + "epoch": 0.6261482044263298, + "grad_norm": 0.05224609375, + "learning_rate": 0.0011791627361991644, + "loss": 1.1843, + "step": 7134 + }, + { + "epoch": 0.6262359740092323, + "grad_norm": 0.050537109375, + "learning_rate": 0.0011787652750530303, + "loss": 1.1089, + "step": 7135 + }, + { + "epoch": 0.6263237435921347, + "grad_norm": 0.056884765625, + "learning_rate": 0.0011783678604158998, + "loss": 1.1411, + "step": 7136 + }, + { + "epoch": 0.6264115131750372, + "grad_norm": 0.0537109375, + "learning_rate": 0.001177970492326995, + "loss": 1.1829, + "step": 7137 + }, + { + "epoch": 0.6264992827579398, + "grad_norm": 0.0634765625, + "learning_rate": 0.0011775731708255348, + "loss": 1.2228, + "step": 7138 + }, + { + "epoch": 0.6265870523408422, + "grad_norm": 0.0546875, + "learning_rate": 0.0011771758959507334, + "loss": 1.1749, + "step": 7139 + }, + { + "epoch": 0.6266748219237447, + "grad_norm": 0.0849609375, + "learning_rate": 0.0011767786677418007, + "loss": 1.1637, + "step": 7140 + }, + { + "epoch": 0.6267625915066471, + "grad_norm": 0.06640625, + "learning_rate": 0.0011763814862379405, + "loss": 1.1468, + "step": 7141 + }, + { + "epoch": 0.6268503610895496, + "grad_norm": 0.061279296875, + "learning_rate": 0.001175984351478354, + "loss": 1.1494, + "step": 7142 + }, + { + "epoch": 0.6269381306724522, + "grad_norm": 0.07958984375, + "learning_rate": 0.001175587263502236, + "loss": 1.1375, + "step": 7143 + }, + { + "epoch": 0.6270259002553547, + "grad_norm": 0.052490234375, + "learning_rate": 0.001175190222348778, + "loss": 1.222, + "step": 7144 + }, + { + "epoch": 0.6271136698382571, + "grad_norm": 0.05517578125, + "learning_rate": 0.0011747932280571664, + "loss": 1.1345, + "step": 7145 + }, + { + "epoch": 0.6272014394211596, + "grad_norm": 0.09765625, + "learning_rate": 0.0011743962806665827, + "loss": 1.1618, + "step": 7146 + }, + { + "epoch": 0.627289209004062, + "grad_norm": 0.06396484375, + "learning_rate": 0.0011739993802162047, + "loss": 1.21, + "step": 7147 + }, + { + "epoch": 0.6273769785869646, + "grad_norm": 0.060546875, + "learning_rate": 0.001173602526745204, + "loss": 1.1627, + "step": 7148 + }, + { + "epoch": 0.6274647481698671, + "grad_norm": 0.0712890625, + "learning_rate": 0.0011732057202927491, + "loss": 1.1676, + "step": 7149 + }, + { + "epoch": 0.6275525177527695, + "grad_norm": 0.057861328125, + "learning_rate": 0.001172808960898003, + "loss": 1.1796, + "step": 7150 + }, + { + "epoch": 0.627640287335672, + "grad_norm": 0.051513671875, + "learning_rate": 0.0011724122486001243, + "loss": 1.1843, + "step": 7151 + }, + { + "epoch": 0.6277280569185745, + "grad_norm": 0.061767578125, + "learning_rate": 0.0011720155834382669, + "loss": 1.2094, + "step": 7152 + }, + { + "epoch": 0.627815826501477, + "grad_norm": 0.103515625, + "learning_rate": 0.0011716189654515804, + "loss": 1.1981, + "step": 7153 + }, + { + "epoch": 0.6279035960843795, + "grad_norm": 0.07470703125, + "learning_rate": 0.001171222394679209, + "loss": 1.1943, + "step": 7154 + }, + { + "epoch": 0.627991365667282, + "grad_norm": 0.051025390625, + "learning_rate": 0.0011708258711602925, + "loss": 1.1936, + "step": 7155 + }, + { + "epoch": 0.6280791352501844, + "grad_norm": 0.068359375, + "learning_rate": 0.0011704293949339666, + "loss": 1.1402, + "step": 7156 + }, + { + "epoch": 0.6281669048330869, + "grad_norm": 0.0986328125, + "learning_rate": 0.001170032966039362, + "loss": 1.1417, + "step": 7157 + }, + { + "epoch": 0.6282546744159895, + "grad_norm": 0.06005859375, + "learning_rate": 0.0011696365845156047, + "loss": 1.1775, + "step": 7158 + }, + { + "epoch": 0.6283424439988919, + "grad_norm": 0.053955078125, + "learning_rate": 0.0011692402504018156, + "loss": 1.1634, + "step": 7159 + }, + { + "epoch": 0.6284302135817944, + "grad_norm": 0.05224609375, + "learning_rate": 0.0011688439637371117, + "loss": 1.1678, + "step": 7160 + }, + { + "epoch": 0.6285179831646969, + "grad_norm": 0.04638671875, + "learning_rate": 0.001168447724560605, + "loss": 1.1607, + "step": 7161 + }, + { + "epoch": 0.6286057527475993, + "grad_norm": 0.053466796875, + "learning_rate": 0.0011680515329114017, + "loss": 1.1967, + "step": 7162 + }, + { + "epoch": 0.6286935223305018, + "grad_norm": 0.05517578125, + "learning_rate": 0.0011676553888286057, + "loss": 1.0864, + "step": 7163 + }, + { + "epoch": 0.6287812919134044, + "grad_norm": 0.0595703125, + "learning_rate": 0.001167259292351314, + "loss": 1.1607, + "step": 7164 + }, + { + "epoch": 0.6288690614963068, + "grad_norm": 0.057861328125, + "learning_rate": 0.0011668632435186197, + "loss": 1.1733, + "step": 7165 + }, + { + "epoch": 0.6289568310792093, + "grad_norm": 0.072265625, + "learning_rate": 0.0011664672423696123, + "loss": 1.1642, + "step": 7166 + }, + { + "epoch": 0.6290446006621118, + "grad_norm": 0.05029296875, + "learning_rate": 0.0011660712889433747, + "loss": 1.1231, + "step": 7167 + }, + { + "epoch": 0.6291323702450142, + "grad_norm": 0.0498046875, + "learning_rate": 0.0011656753832789855, + "loss": 1.1627, + "step": 7168 + }, + { + "epoch": 0.6292201398279168, + "grad_norm": 0.052001953125, + "learning_rate": 0.0011652795254155203, + "loss": 1.2064, + "step": 7169 + }, + { + "epoch": 0.6293079094108193, + "grad_norm": 0.054931640625, + "learning_rate": 0.001164883715392048, + "loss": 1.1959, + "step": 7170 + }, + { + "epoch": 0.6293956789937217, + "grad_norm": 0.056884765625, + "learning_rate": 0.001164487953247633, + "loss": 1.2448, + "step": 7171 + }, + { + "epoch": 0.6294834485766242, + "grad_norm": 0.058837890625, + "learning_rate": 0.0011640922390213364, + "loss": 1.2179, + "step": 7172 + }, + { + "epoch": 0.6295712181595267, + "grad_norm": 0.08203125, + "learning_rate": 0.001163696572752213, + "loss": 1.1581, + "step": 7173 + }, + { + "epoch": 0.6296589877424292, + "grad_norm": 0.09033203125, + "learning_rate": 0.0011633009544793134, + "loss": 1.1885, + "step": 7174 + }, + { + "epoch": 0.6297467573253317, + "grad_norm": 0.06787109375, + "learning_rate": 0.0011629053842416837, + "loss": 1.1907, + "step": 7175 + }, + { + "epoch": 0.6298345269082342, + "grad_norm": 0.06982421875, + "learning_rate": 0.0011625098620783652, + "loss": 1.1604, + "step": 7176 + }, + { + "epoch": 0.6299222964911366, + "grad_norm": 0.0625, + "learning_rate": 0.001162114388028395, + "loss": 1.2031, + "step": 7177 + }, + { + "epoch": 0.6300100660740391, + "grad_norm": 0.059814453125, + "learning_rate": 0.0011617189621308038, + "loss": 1.1562, + "step": 7178 + }, + { + "epoch": 0.6300978356569417, + "grad_norm": 0.0634765625, + "learning_rate": 0.0011613235844246195, + "loss": 1.1781, + "step": 7179 + }, + { + "epoch": 0.6301856052398441, + "grad_norm": 0.0478515625, + "learning_rate": 0.0011609282549488633, + "loss": 1.1495, + "step": 7180 + }, + { + "epoch": 0.6302733748227466, + "grad_norm": 0.05615234375, + "learning_rate": 0.0011605329737425537, + "loss": 1.1638, + "step": 7181 + }, + { + "epoch": 0.630361144405649, + "grad_norm": 0.059814453125, + "learning_rate": 0.0011601377408447025, + "loss": 1.1707, + "step": 7182 + }, + { + "epoch": 0.6304489139885515, + "grad_norm": 0.0693359375, + "learning_rate": 0.001159742556294318, + "loss": 1.1929, + "step": 7183 + }, + { + "epoch": 0.6305366835714541, + "grad_norm": 0.054443359375, + "learning_rate": 0.0011593474201304036, + "loss": 1.1718, + "step": 7184 + }, + { + "epoch": 0.6306244531543566, + "grad_norm": 0.0498046875, + "learning_rate": 0.0011589523323919568, + "loss": 1.1461, + "step": 7185 + }, + { + "epoch": 0.630712222737259, + "grad_norm": 0.08984375, + "learning_rate": 0.0011585572931179721, + "loss": 1.1357, + "step": 7186 + }, + { + "epoch": 0.6307999923201615, + "grad_norm": 0.05126953125, + "learning_rate": 0.0011581623023474382, + "loss": 1.1554, + "step": 7187 + }, + { + "epoch": 0.630887761903064, + "grad_norm": 0.062255859375, + "learning_rate": 0.0011577673601193392, + "loss": 1.2128, + "step": 7188 + }, + { + "epoch": 0.6309755314859664, + "grad_norm": 0.080078125, + "learning_rate": 0.0011573724664726537, + "loss": 1.2082, + "step": 7189 + }, + { + "epoch": 0.631063301068869, + "grad_norm": 0.05126953125, + "learning_rate": 0.0011569776214463566, + "loss": 1.1638, + "step": 7190 + }, + { + "epoch": 0.6311510706517715, + "grad_norm": 0.1064453125, + "learning_rate": 0.0011565828250794177, + "loss": 1.1235, + "step": 7191 + }, + { + "epoch": 0.6312388402346739, + "grad_norm": 0.08251953125, + "learning_rate": 0.0011561880774108013, + "loss": 1.1479, + "step": 7192 + }, + { + "epoch": 0.6313266098175764, + "grad_norm": 0.047119140625, + "learning_rate": 0.0011557933784794678, + "loss": 1.2079, + "step": 7193 + }, + { + "epoch": 0.6314143794004788, + "grad_norm": 0.146484375, + "learning_rate": 0.0011553987283243726, + "loss": 1.1563, + "step": 7194 + }, + { + "epoch": 0.6315021489833814, + "grad_norm": 0.06396484375, + "learning_rate": 0.0011550041269844653, + "loss": 1.1656, + "step": 7195 + }, + { + "epoch": 0.6315899185662839, + "grad_norm": 0.087890625, + "learning_rate": 0.0011546095744986926, + "loss": 1.2058, + "step": 7196 + }, + { + "epoch": 0.6316776881491863, + "grad_norm": 0.052734375, + "learning_rate": 0.0011542150709059943, + "loss": 1.2202, + "step": 7197 + }, + { + "epoch": 0.6317654577320888, + "grad_norm": 0.0673828125, + "learning_rate": 0.0011538206162453074, + "loss": 1.167, + "step": 7198 + }, + { + "epoch": 0.6318532273149913, + "grad_norm": 0.07177734375, + "learning_rate": 0.0011534262105555618, + "loss": 1.171, + "step": 7199 + }, + { + "epoch": 0.6319409968978938, + "grad_norm": 0.05029296875, + "learning_rate": 0.0011530318538756847, + "loss": 1.1188, + "step": 7200 + }, + { + "epoch": 0.6320287664807963, + "grad_norm": 0.091796875, + "learning_rate": 0.0011526375462445973, + "loss": 1.2036, + "step": 7201 + }, + { + "epoch": 0.6321165360636988, + "grad_norm": 0.0810546875, + "learning_rate": 0.001152243287701216, + "loss": 1.1097, + "step": 7202 + }, + { + "epoch": 0.6322043056466012, + "grad_norm": 0.05224609375, + "learning_rate": 0.0011518490782844529, + "loss": 1.1917, + "step": 7203 + }, + { + "epoch": 0.6322920752295037, + "grad_norm": 0.1005859375, + "learning_rate": 0.0011514549180332144, + "loss": 1.1618, + "step": 7204 + }, + { + "epoch": 0.6323798448124063, + "grad_norm": 0.06884765625, + "learning_rate": 0.0011510608069864026, + "loss": 1.1459, + "step": 7205 + }, + { + "epoch": 0.6324676143953087, + "grad_norm": 0.05078125, + "learning_rate": 0.0011506667451829154, + "loss": 1.1631, + "step": 7206 + }, + { + "epoch": 0.6325553839782112, + "grad_norm": 0.05615234375, + "learning_rate": 0.0011502727326616444, + "loss": 1.1211, + "step": 7207 + }, + { + "epoch": 0.6326431535611137, + "grad_norm": 0.07373046875, + "learning_rate": 0.0011498787694614778, + "loss": 1.1253, + "step": 7208 + }, + { + "epoch": 0.6327309231440161, + "grad_norm": 0.050048828125, + "learning_rate": 0.0011494848556212972, + "loss": 1.1424, + "step": 7209 + }, + { + "epoch": 0.6328186927269187, + "grad_norm": 0.052001953125, + "learning_rate": 0.0011490909911799814, + "loss": 1.1541, + "step": 7210 + }, + { + "epoch": 0.6329064623098212, + "grad_norm": 0.08642578125, + "learning_rate": 0.0011486971761764024, + "loss": 1.155, + "step": 7211 + }, + { + "epoch": 0.6329942318927236, + "grad_norm": 0.0537109375, + "learning_rate": 0.001148303410649429, + "loss": 1.0851, + "step": 7212 + }, + { + "epoch": 0.6330820014756261, + "grad_norm": 0.047607421875, + "learning_rate": 0.0011479096946379237, + "loss": 1.1443, + "step": 7213 + }, + { + "epoch": 0.6331697710585286, + "grad_norm": 0.087890625, + "learning_rate": 0.0011475160281807445, + "loss": 1.1484, + "step": 7214 + }, + { + "epoch": 0.6332575406414311, + "grad_norm": 0.06396484375, + "learning_rate": 0.001147122411316745, + "loss": 1.1804, + "step": 7215 + }, + { + "epoch": 0.6333453102243336, + "grad_norm": 0.05859375, + "learning_rate": 0.001146728844084774, + "loss": 1.2011, + "step": 7216 + }, + { + "epoch": 0.6334330798072361, + "grad_norm": 0.0517578125, + "learning_rate": 0.0011463353265236747, + "loss": 1.1652, + "step": 7217 + }, + { + "epoch": 0.6335208493901385, + "grad_norm": 0.0458984375, + "learning_rate": 0.001145941858672286, + "loss": 1.2062, + "step": 7218 + }, + { + "epoch": 0.633608618973041, + "grad_norm": 0.047607421875, + "learning_rate": 0.0011455484405694413, + "loss": 1.1947, + "step": 7219 + }, + { + "epoch": 0.6336963885559435, + "grad_norm": 0.0498046875, + "learning_rate": 0.0011451550722539696, + "loss": 1.1659, + "step": 7220 + }, + { + "epoch": 0.633784158138846, + "grad_norm": 0.043701171875, + "learning_rate": 0.0011447617537646943, + "loss": 1.1516, + "step": 7221 + }, + { + "epoch": 0.6338719277217485, + "grad_norm": 0.058837890625, + "learning_rate": 0.0011443684851404356, + "loss": 1.202, + "step": 7222 + }, + { + "epoch": 0.633959697304651, + "grad_norm": 0.05078125, + "learning_rate": 0.0011439752664200058, + "loss": 1.1446, + "step": 7223 + }, + { + "epoch": 0.6340474668875534, + "grad_norm": 0.0556640625, + "learning_rate": 0.0011435820976422157, + "loss": 1.1788, + "step": 7224 + }, + { + "epoch": 0.6341352364704559, + "grad_norm": 0.059326171875, + "learning_rate": 0.0011431889788458677, + "loss": 1.1853, + "step": 7225 + }, + { + "epoch": 0.6342230060533585, + "grad_norm": 0.0537109375, + "learning_rate": 0.0011427959100697629, + "loss": 1.1176, + "step": 7226 + }, + { + "epoch": 0.6343107756362609, + "grad_norm": 0.053955078125, + "learning_rate": 0.0011424028913526946, + "loss": 1.1809, + "step": 7227 + }, + { + "epoch": 0.6343985452191634, + "grad_norm": 0.05126953125, + "learning_rate": 0.001142009922733453, + "loss": 1.1996, + "step": 7228 + }, + { + "epoch": 0.6344863148020659, + "grad_norm": 0.04833984375, + "learning_rate": 0.0011416170042508216, + "loss": 1.1812, + "step": 7229 + }, + { + "epoch": 0.6345740843849683, + "grad_norm": 0.049072265625, + "learning_rate": 0.0011412241359435808, + "loss": 1.1516, + "step": 7230 + }, + { + "epoch": 0.6346618539678709, + "grad_norm": 0.057861328125, + "learning_rate": 0.0011408313178505039, + "loss": 1.1472, + "step": 7231 + }, + { + "epoch": 0.6347496235507734, + "grad_norm": 0.05615234375, + "learning_rate": 0.0011404385500103618, + "loss": 1.1636, + "step": 7232 + }, + { + "epoch": 0.6348373931336758, + "grad_norm": 0.048095703125, + "learning_rate": 0.0011400458324619183, + "loss": 1.159, + "step": 7233 + }, + { + "epoch": 0.6349251627165783, + "grad_norm": 0.053955078125, + "learning_rate": 0.0011396531652439338, + "loss": 1.1447, + "step": 7234 + }, + { + "epoch": 0.6350129322994807, + "grad_norm": 0.052978515625, + "learning_rate": 0.0011392605483951618, + "loss": 1.1615, + "step": 7235 + }, + { + "epoch": 0.6351007018823833, + "grad_norm": 0.05517578125, + "learning_rate": 0.0011388679819543531, + "loss": 1.1763, + "step": 7236 + }, + { + "epoch": 0.6351884714652858, + "grad_norm": 0.051025390625, + "learning_rate": 0.001138475465960252, + "loss": 1.1982, + "step": 7237 + }, + { + "epoch": 0.6352762410481883, + "grad_norm": 0.06884765625, + "learning_rate": 0.0011380830004515986, + "loss": 1.1802, + "step": 7238 + }, + { + "epoch": 0.6353640106310907, + "grad_norm": 0.05810546875, + "learning_rate": 0.0011376905854671277, + "loss": 1.1532, + "step": 7239 + }, + { + "epoch": 0.6354517802139932, + "grad_norm": 0.06396484375, + "learning_rate": 0.0011372982210455685, + "loss": 1.1243, + "step": 7240 + }, + { + "epoch": 0.6355395497968958, + "grad_norm": 0.05078125, + "learning_rate": 0.0011369059072256467, + "loss": 1.1266, + "step": 7241 + }, + { + "epoch": 0.6356273193797982, + "grad_norm": 0.05517578125, + "learning_rate": 0.0011365136440460815, + "loss": 1.2035, + "step": 7242 + }, + { + "epoch": 0.6357150889627007, + "grad_norm": 0.061279296875, + "learning_rate": 0.0011361214315455876, + "loss": 1.1416, + "step": 7243 + }, + { + "epoch": 0.6358028585456031, + "grad_norm": 0.0634765625, + "learning_rate": 0.0011357292697628753, + "loss": 1.1719, + "step": 7244 + }, + { + "epoch": 0.6358906281285056, + "grad_norm": 0.07177734375, + "learning_rate": 0.001135337158736649, + "loss": 1.2165, + "step": 7245 + }, + { + "epoch": 0.6359783977114081, + "grad_norm": 0.072265625, + "learning_rate": 0.0011349450985056087, + "loss": 1.1613, + "step": 7246 + }, + { + "epoch": 0.6360661672943106, + "grad_norm": 0.046875, + "learning_rate": 0.0011345530891084493, + "loss": 1.1289, + "step": 7247 + }, + { + "epoch": 0.6361539368772131, + "grad_norm": 0.060791015625, + "learning_rate": 0.0011341611305838606, + "loss": 1.1489, + "step": 7248 + }, + { + "epoch": 0.6362417064601156, + "grad_norm": 0.09716796875, + "learning_rate": 0.0011337692229705274, + "loss": 1.1339, + "step": 7249 + }, + { + "epoch": 0.636329476043018, + "grad_norm": 0.0537109375, + "learning_rate": 0.0011333773663071288, + "loss": 1.1312, + "step": 7250 + }, + { + "epoch": 0.6364172456259205, + "grad_norm": 0.09619140625, + "learning_rate": 0.0011329855606323402, + "loss": 1.1126, + "step": 7251 + }, + { + "epoch": 0.6365050152088231, + "grad_norm": 0.080078125, + "learning_rate": 0.0011325938059848315, + "loss": 1.1681, + "step": 7252 + }, + { + "epoch": 0.6365927847917255, + "grad_norm": 0.04833984375, + "learning_rate": 0.0011322021024032663, + "loss": 1.1388, + "step": 7253 + }, + { + "epoch": 0.636680554374628, + "grad_norm": 0.0751953125, + "learning_rate": 0.0011318104499263048, + "loss": 1.1661, + "step": 7254 + }, + { + "epoch": 0.6367683239575305, + "grad_norm": 0.080078125, + "learning_rate": 0.0011314188485926017, + "loss": 1.1006, + "step": 7255 + }, + { + "epoch": 0.6368560935404329, + "grad_norm": 0.056884765625, + "learning_rate": 0.0011310272984408059, + "loss": 1.1824, + "step": 7256 + }, + { + "epoch": 0.6369438631233355, + "grad_norm": 0.057861328125, + "learning_rate": 0.0011306357995095628, + "loss": 1.1186, + "step": 7257 + }, + { + "epoch": 0.637031632706238, + "grad_norm": 0.051513671875, + "learning_rate": 0.001130244351837511, + "loss": 1.1357, + "step": 7258 + }, + { + "epoch": 0.6371194022891404, + "grad_norm": 0.06396484375, + "learning_rate": 0.0011298529554632855, + "loss": 1.1606, + "step": 7259 + }, + { + "epoch": 0.6372071718720429, + "grad_norm": 0.05126953125, + "learning_rate": 0.0011294616104255148, + "loss": 1.1812, + "step": 7260 + }, + { + "epoch": 0.6372949414549454, + "grad_norm": 0.07275390625, + "learning_rate": 0.0011290703167628237, + "loss": 1.1791, + "step": 7261 + }, + { + "epoch": 0.6373827110378479, + "grad_norm": 0.055908203125, + "learning_rate": 0.0011286790745138307, + "loss": 1.1093, + "step": 7262 + }, + { + "epoch": 0.6374704806207504, + "grad_norm": 0.06689453125, + "learning_rate": 0.001128287883717151, + "loss": 1.1883, + "step": 7263 + }, + { + "epoch": 0.6375582502036529, + "grad_norm": 0.058837890625, + "learning_rate": 0.0011278967444113923, + "loss": 1.1696, + "step": 7264 + }, + { + "epoch": 0.6376460197865553, + "grad_norm": 0.053466796875, + "learning_rate": 0.001127505656635159, + "loss": 1.1262, + "step": 7265 + }, + { + "epoch": 0.6377337893694578, + "grad_norm": 0.056396484375, + "learning_rate": 0.0011271146204270503, + "loss": 1.1378, + "step": 7266 + }, + { + "epoch": 0.6378215589523604, + "grad_norm": 0.046142578125, + "learning_rate": 0.0011267236358256595, + "loss": 1.1303, + "step": 7267 + }, + { + "epoch": 0.6379093285352628, + "grad_norm": 0.07373046875, + "learning_rate": 0.0011263327028695753, + "loss": 1.2141, + "step": 7268 + }, + { + "epoch": 0.6379970981181653, + "grad_norm": 0.06689453125, + "learning_rate": 0.0011259418215973812, + "loss": 1.2336, + "step": 7269 + }, + { + "epoch": 0.6380848677010678, + "grad_norm": 0.048828125, + "learning_rate": 0.001125550992047656, + "loss": 1.1659, + "step": 7270 + }, + { + "epoch": 0.6381726372839702, + "grad_norm": 0.06201171875, + "learning_rate": 0.0011251602142589726, + "loss": 1.1649, + "step": 7271 + }, + { + "epoch": 0.6382604068668727, + "grad_norm": 0.072265625, + "learning_rate": 0.0011247694882698992, + "loss": 1.1968, + "step": 7272 + }, + { + "epoch": 0.6383481764497753, + "grad_norm": 0.060302734375, + "learning_rate": 0.0011243788141189995, + "loss": 1.1923, + "step": 7273 + }, + { + "epoch": 0.6384359460326777, + "grad_norm": 0.05029296875, + "learning_rate": 0.0011239881918448308, + "loss": 1.1587, + "step": 7274 + }, + { + "epoch": 0.6385237156155802, + "grad_norm": 0.06396484375, + "learning_rate": 0.001123597621485946, + "loss": 1.2302, + "step": 7275 + }, + { + "epoch": 0.6386114851984827, + "grad_norm": 0.0810546875, + "learning_rate": 0.001123207103080893, + "loss": 1.1734, + "step": 7276 + }, + { + "epoch": 0.6386992547813851, + "grad_norm": 0.0537109375, + "learning_rate": 0.001122816636668215, + "loss": 1.1333, + "step": 7277 + }, + { + "epoch": 0.6387870243642877, + "grad_norm": 0.08056640625, + "learning_rate": 0.001122426222286449, + "loss": 1.1407, + "step": 7278 + }, + { + "epoch": 0.6388747939471902, + "grad_norm": 0.05029296875, + "learning_rate": 0.0011220358599741272, + "loss": 1.1355, + "step": 7279 + }, + { + "epoch": 0.6389625635300926, + "grad_norm": 0.056884765625, + "learning_rate": 0.0011216455497697767, + "loss": 1.136, + "step": 7280 + }, + { + "epoch": 0.6390503331129951, + "grad_norm": 0.056884765625, + "learning_rate": 0.0011212552917119205, + "loss": 1.1687, + "step": 7281 + }, + { + "epoch": 0.6391381026958975, + "grad_norm": 0.056640625, + "learning_rate": 0.0011208650858390745, + "loss": 1.2206, + "step": 7282 + }, + { + "epoch": 0.6392258722788001, + "grad_norm": 0.057373046875, + "learning_rate": 0.001120474932189751, + "loss": 1.1859, + "step": 7283 + }, + { + "epoch": 0.6393136418617026, + "grad_norm": 0.0625, + "learning_rate": 0.001120084830802456, + "loss": 1.1483, + "step": 7284 + }, + { + "epoch": 0.639401411444605, + "grad_norm": 0.0625, + "learning_rate": 0.001119694781715692, + "loss": 1.1752, + "step": 7285 + }, + { + "epoch": 0.6394891810275075, + "grad_norm": 0.056640625, + "learning_rate": 0.0011193047849679541, + "loss": 1.2025, + "step": 7286 + }, + { + "epoch": 0.63957695061041, + "grad_norm": 0.054443359375, + "learning_rate": 0.0011189148405977344, + "loss": 1.1522, + "step": 7287 + }, + { + "epoch": 0.6396647201933126, + "grad_norm": 0.05859375, + "learning_rate": 0.0011185249486435182, + "loss": 1.1891, + "step": 7288 + }, + { + "epoch": 0.639752489776215, + "grad_norm": 0.057861328125, + "learning_rate": 0.0011181351091437875, + "loss": 1.1109, + "step": 7289 + }, + { + "epoch": 0.6398402593591175, + "grad_norm": 0.06591796875, + "learning_rate": 0.0011177453221370161, + "loss": 1.1646, + "step": 7290 + }, + { + "epoch": 0.6399280289420199, + "grad_norm": 0.04833984375, + "learning_rate": 0.0011173555876616763, + "loss": 1.1242, + "step": 7291 + }, + { + "epoch": 0.6400157985249224, + "grad_norm": 0.07666015625, + "learning_rate": 0.0011169659057562317, + "loss": 1.1304, + "step": 7292 + }, + { + "epoch": 0.640103568107825, + "grad_norm": 0.05078125, + "learning_rate": 0.0011165762764591435, + "loss": 1.1663, + "step": 7293 + }, + { + "epoch": 0.6401913376907274, + "grad_norm": 0.0615234375, + "learning_rate": 0.001116186699808866, + "loss": 1.1809, + "step": 7294 + }, + { + "epoch": 0.6402791072736299, + "grad_norm": 0.060302734375, + "learning_rate": 0.001115797175843849, + "loss": 1.1356, + "step": 7295 + }, + { + "epoch": 0.6403668768565324, + "grad_norm": 0.1142578125, + "learning_rate": 0.0011154077046025368, + "loss": 1.1455, + "step": 7296 + }, + { + "epoch": 0.6404546464394348, + "grad_norm": 0.07275390625, + "learning_rate": 0.0011150182861233689, + "loss": 1.1849, + "step": 7297 + }, + { + "epoch": 0.6405424160223374, + "grad_norm": 0.0615234375, + "learning_rate": 0.0011146289204447797, + "loss": 1.2536, + "step": 7298 + }, + { + "epoch": 0.6406301856052399, + "grad_norm": 0.126953125, + "learning_rate": 0.0011142396076051974, + "loss": 1.1973, + "step": 7299 + }, + { + "epoch": 0.6407179551881423, + "grad_norm": 0.0810546875, + "learning_rate": 0.0011138503476430463, + "loss": 1.1742, + "step": 7300 + }, + { + "epoch": 0.6408057247710448, + "grad_norm": 0.07568359375, + "learning_rate": 0.0011134611405967444, + "loss": 1.1528, + "step": 7301 + }, + { + "epoch": 0.6408934943539473, + "grad_norm": 0.07763671875, + "learning_rate": 0.0011130719865047045, + "loss": 1.1716, + "step": 7302 + }, + { + "epoch": 0.6409812639368497, + "grad_norm": 0.0859375, + "learning_rate": 0.0011126828854053357, + "loss": 1.1243, + "step": 7303 + }, + { + "epoch": 0.6410690335197523, + "grad_norm": 0.049560546875, + "learning_rate": 0.0011122938373370394, + "loss": 1.1636, + "step": 7304 + }, + { + "epoch": 0.6411568031026548, + "grad_norm": 0.09912109375, + "learning_rate": 0.0011119048423382143, + "loss": 1.1518, + "step": 7305 + }, + { + "epoch": 0.6412445726855572, + "grad_norm": 0.080078125, + "learning_rate": 0.0011115159004472515, + "loss": 1.1176, + "step": 7306 + }, + { + "epoch": 0.6413323422684597, + "grad_norm": 0.06103515625, + "learning_rate": 0.0011111270117025388, + "loss": 1.1836, + "step": 7307 + }, + { + "epoch": 0.6414201118513622, + "grad_norm": 0.05419921875, + "learning_rate": 0.0011107381761424583, + "loss": 1.1192, + "step": 7308 + }, + { + "epoch": 0.6415078814342647, + "grad_norm": 0.050048828125, + "learning_rate": 0.0011103493938053855, + "loss": 1.1399, + "step": 7309 + }, + { + "epoch": 0.6415956510171672, + "grad_norm": 0.05126953125, + "learning_rate": 0.0011099606647296926, + "loss": 1.1455, + "step": 7310 + }, + { + "epoch": 0.6416834206000697, + "grad_norm": 0.0576171875, + "learning_rate": 0.0011095719889537452, + "loss": 1.1812, + "step": 7311 + }, + { + "epoch": 0.6417711901829721, + "grad_norm": 0.049560546875, + "learning_rate": 0.0011091833665159043, + "loss": 1.2031, + "step": 7312 + }, + { + "epoch": 0.6418589597658746, + "grad_norm": 0.049072265625, + "learning_rate": 0.0011087947974545251, + "loss": 1.2279, + "step": 7313 + }, + { + "epoch": 0.6419467293487772, + "grad_norm": 0.06005859375, + "learning_rate": 0.001108406281807958, + "loss": 1.1942, + "step": 7314 + }, + { + "epoch": 0.6420344989316796, + "grad_norm": 0.058349609375, + "learning_rate": 0.0011080178196145479, + "loss": 1.1859, + "step": 7315 + }, + { + "epoch": 0.6421222685145821, + "grad_norm": 0.048095703125, + "learning_rate": 0.001107629410912634, + "loss": 1.1638, + "step": 7316 + }, + { + "epoch": 0.6422100380974846, + "grad_norm": 0.05126953125, + "learning_rate": 0.0011072410557405512, + "loss": 1.1869, + "step": 7317 + }, + { + "epoch": 0.642297807680387, + "grad_norm": 0.0634765625, + "learning_rate": 0.0011068527541366292, + "loss": 1.1768, + "step": 7318 + }, + { + "epoch": 0.6423855772632896, + "grad_norm": 0.048828125, + "learning_rate": 0.0011064645061391908, + "loss": 1.1563, + "step": 7319 + }, + { + "epoch": 0.6424733468461921, + "grad_norm": 0.076171875, + "learning_rate": 0.0011060763117865557, + "loss": 1.1811, + "step": 7320 + }, + { + "epoch": 0.6425611164290945, + "grad_norm": 0.050048828125, + "learning_rate": 0.001105688171117036, + "loss": 1.2627, + "step": 7321 + }, + { + "epoch": 0.642648886011997, + "grad_norm": 0.080078125, + "learning_rate": 0.00110530008416894, + "loss": 1.1634, + "step": 7322 + }, + { + "epoch": 0.6427366555948995, + "grad_norm": 0.0498046875, + "learning_rate": 0.0011049120509805705, + "loss": 1.1544, + "step": 7323 + }, + { + "epoch": 0.642824425177802, + "grad_norm": 0.06787109375, + "learning_rate": 0.0011045240715902248, + "loss": 1.1144, + "step": 7324 + }, + { + "epoch": 0.6429121947607045, + "grad_norm": 0.050537109375, + "learning_rate": 0.0011041361460361946, + "loss": 1.1491, + "step": 7325 + }, + { + "epoch": 0.642999964343607, + "grad_norm": 0.05859375, + "learning_rate": 0.0011037482743567668, + "loss": 1.1259, + "step": 7326 + }, + { + "epoch": 0.6430877339265094, + "grad_norm": 0.05224609375, + "learning_rate": 0.0011033604565902232, + "loss": 1.1499, + "step": 7327 + }, + { + "epoch": 0.6431755035094119, + "grad_norm": 0.060302734375, + "learning_rate": 0.0011029726927748397, + "loss": 1.148, + "step": 7328 + }, + { + "epoch": 0.6432632730923143, + "grad_norm": 0.045654296875, + "learning_rate": 0.0011025849829488866, + "loss": 1.1747, + "step": 7329 + }, + { + "epoch": 0.6433510426752169, + "grad_norm": 0.04833984375, + "learning_rate": 0.0011021973271506304, + "loss": 1.2126, + "step": 7330 + }, + { + "epoch": 0.6434388122581194, + "grad_norm": 0.0546875, + "learning_rate": 0.0011018097254183296, + "loss": 1.2099, + "step": 7331 + }, + { + "epoch": 0.6435265818410218, + "grad_norm": 0.047607421875, + "learning_rate": 0.0011014221777902406, + "loss": 1.1144, + "step": 7332 + }, + { + "epoch": 0.6436143514239243, + "grad_norm": 0.04931640625, + "learning_rate": 0.0011010346843046113, + "loss": 1.1617, + "step": 7333 + }, + { + "epoch": 0.6437021210068268, + "grad_norm": 0.0498046875, + "learning_rate": 0.0011006472449996872, + "loss": 1.1637, + "step": 7334 + }, + { + "epoch": 0.6437898905897294, + "grad_norm": 0.050537109375, + "learning_rate": 0.001100259859913706, + "loss": 1.1474, + "step": 7335 + }, + { + "epoch": 0.6438776601726318, + "grad_norm": 0.059326171875, + "learning_rate": 0.0010998725290849007, + "loss": 1.1841, + "step": 7336 + }, + { + "epoch": 0.6439654297555343, + "grad_norm": 0.05322265625, + "learning_rate": 0.001099485252551501, + "loss": 1.1419, + "step": 7337 + }, + { + "epoch": 0.6440531993384367, + "grad_norm": 0.046630859375, + "learning_rate": 0.0010990980303517285, + "loss": 1.2143, + "step": 7338 + }, + { + "epoch": 0.6441409689213392, + "grad_norm": 0.052734375, + "learning_rate": 0.0010987108625238004, + "loss": 1.2047, + "step": 7339 + }, + { + "epoch": 0.6442287385042418, + "grad_norm": 0.049072265625, + "learning_rate": 0.0010983237491059292, + "loss": 1.1395, + "step": 7340 + }, + { + "epoch": 0.6443165080871442, + "grad_norm": 0.04541015625, + "learning_rate": 0.0010979366901363201, + "loss": 1.1266, + "step": 7341 + }, + { + "epoch": 0.6444042776700467, + "grad_norm": 0.05517578125, + "learning_rate": 0.0010975496856531766, + "loss": 1.1079, + "step": 7342 + }, + { + "epoch": 0.6444920472529492, + "grad_norm": 0.057861328125, + "learning_rate": 0.0010971627356946923, + "loss": 1.1667, + "step": 7343 + }, + { + "epoch": 0.6445798168358516, + "grad_norm": 0.0517578125, + "learning_rate": 0.001096775840299059, + "loss": 1.2228, + "step": 7344 + }, + { + "epoch": 0.6446675864187542, + "grad_norm": 0.047607421875, + "learning_rate": 0.0010963889995044608, + "loss": 1.152, + "step": 7345 + }, + { + "epoch": 0.6447553560016567, + "grad_norm": 0.0478515625, + "learning_rate": 0.0010960022133490776, + "loss": 1.1455, + "step": 7346 + }, + { + "epoch": 0.6448431255845591, + "grad_norm": 0.04931640625, + "learning_rate": 0.0010956154818710848, + "loss": 1.1353, + "step": 7347 + }, + { + "epoch": 0.6449308951674616, + "grad_norm": 0.053955078125, + "learning_rate": 0.0010952288051086496, + "loss": 1.171, + "step": 7348 + }, + { + "epoch": 0.6450186647503641, + "grad_norm": 0.051513671875, + "learning_rate": 0.0010948421830999364, + "loss": 1.1642, + "step": 7349 + }, + { + "epoch": 0.6451064343332666, + "grad_norm": 0.050537109375, + "learning_rate": 0.0010944556158831032, + "loss": 1.1893, + "step": 7350 + }, + { + "epoch": 0.6451942039161691, + "grad_norm": 0.06005859375, + "learning_rate": 0.0010940691034963027, + "loss": 1.159, + "step": 7351 + }, + { + "epoch": 0.6452819734990716, + "grad_norm": 0.07421875, + "learning_rate": 0.0010936826459776816, + "loss": 1.1697, + "step": 7352 + }, + { + "epoch": 0.645369743081974, + "grad_norm": 0.0556640625, + "learning_rate": 0.0010932962433653824, + "loss": 1.164, + "step": 7353 + }, + { + "epoch": 0.6454575126648765, + "grad_norm": 0.058349609375, + "learning_rate": 0.0010929098956975413, + "loss": 1.1506, + "step": 7354 + }, + { + "epoch": 0.6455452822477791, + "grad_norm": 0.095703125, + "learning_rate": 0.0010925236030122885, + "loss": 1.1291, + "step": 7355 + }, + { + "epoch": 0.6456330518306815, + "grad_norm": 0.050048828125, + "learning_rate": 0.0010921373653477505, + "loss": 1.1586, + "step": 7356 + }, + { + "epoch": 0.645720821413584, + "grad_norm": 0.060791015625, + "learning_rate": 0.0010917511827420476, + "loss": 1.2451, + "step": 7357 + }, + { + "epoch": 0.6458085909964865, + "grad_norm": 0.05322265625, + "learning_rate": 0.001091365055233294, + "loss": 1.1703, + "step": 7358 + }, + { + "epoch": 0.6458963605793889, + "grad_norm": 0.054931640625, + "learning_rate": 0.001090978982859599, + "loss": 1.1519, + "step": 7359 + }, + { + "epoch": 0.6459841301622914, + "grad_norm": 0.049072265625, + "learning_rate": 0.0010905929656590664, + "loss": 1.1431, + "step": 7360 + }, + { + "epoch": 0.646071899745194, + "grad_norm": 0.06005859375, + "learning_rate": 0.0010902070036697949, + "loss": 1.1881, + "step": 7361 + }, + { + "epoch": 0.6461596693280964, + "grad_norm": 0.052490234375, + "learning_rate": 0.001089821096929877, + "loss": 1.152, + "step": 7362 + }, + { + "epoch": 0.6462474389109989, + "grad_norm": 0.08935546875, + "learning_rate": 0.0010894352454774003, + "loss": 1.1487, + "step": 7363 + }, + { + "epoch": 0.6463352084939014, + "grad_norm": 0.05908203125, + "learning_rate": 0.0010890494493504467, + "loss": 1.2132, + "step": 7364 + }, + { + "epoch": 0.6464229780768038, + "grad_norm": 0.05322265625, + "learning_rate": 0.0010886637085870928, + "loss": 1.1879, + "step": 7365 + }, + { + "epoch": 0.6465107476597064, + "grad_norm": 0.051025390625, + "learning_rate": 0.0010882780232254093, + "loss": 1.1915, + "step": 7366 + }, + { + "epoch": 0.6465985172426089, + "grad_norm": 0.05078125, + "learning_rate": 0.0010878923933034632, + "loss": 1.2057, + "step": 7367 + }, + { + "epoch": 0.6466862868255113, + "grad_norm": 0.061767578125, + "learning_rate": 0.0010875068188593133, + "loss": 1.2067, + "step": 7368 + }, + { + "epoch": 0.6467740564084138, + "grad_norm": 0.05517578125, + "learning_rate": 0.0010871212999310148, + "loss": 1.1513, + "step": 7369 + }, + { + "epoch": 0.6468618259913163, + "grad_norm": 0.04931640625, + "learning_rate": 0.001086735836556617, + "loss": 1.2339, + "step": 7370 + }, + { + "epoch": 0.6469495955742188, + "grad_norm": 0.068359375, + "learning_rate": 0.0010863504287741636, + "loss": 1.1471, + "step": 7371 + }, + { + "epoch": 0.6470373651571213, + "grad_norm": 0.062255859375, + "learning_rate": 0.0010859650766216918, + "loss": 1.1353, + "step": 7372 + }, + { + "epoch": 0.6471251347400238, + "grad_norm": 0.0615234375, + "learning_rate": 0.0010855797801372356, + "loss": 1.1863, + "step": 7373 + }, + { + "epoch": 0.6472129043229262, + "grad_norm": 0.05224609375, + "learning_rate": 0.0010851945393588224, + "loss": 1.2163, + "step": 7374 + }, + { + "epoch": 0.6473006739058287, + "grad_norm": 0.0693359375, + "learning_rate": 0.0010848093543244725, + "loss": 1.1878, + "step": 7375 + }, + { + "epoch": 0.6473884434887313, + "grad_norm": 0.04541015625, + "learning_rate": 0.0010844242250722031, + "loss": 1.1544, + "step": 7376 + }, + { + "epoch": 0.6474762130716337, + "grad_norm": 0.048828125, + "learning_rate": 0.0010840391516400243, + "loss": 1.1305, + "step": 7377 + }, + { + "epoch": 0.6475639826545362, + "grad_norm": 0.057373046875, + "learning_rate": 0.0010836541340659431, + "loss": 1.2138, + "step": 7378 + }, + { + "epoch": 0.6476517522374386, + "grad_norm": 0.05615234375, + "learning_rate": 0.0010832691723879572, + "loss": 1.2414, + "step": 7379 + }, + { + "epoch": 0.6477395218203411, + "grad_norm": 0.052001953125, + "learning_rate": 0.0010828842666440615, + "loss": 1.1234, + "step": 7380 + }, + { + "epoch": 0.6478272914032437, + "grad_norm": 0.07470703125, + "learning_rate": 0.001082499416872245, + "loss": 1.1633, + "step": 7381 + }, + { + "epoch": 0.6479150609861462, + "grad_norm": 0.1064453125, + "learning_rate": 0.0010821146231104908, + "loss": 1.1926, + "step": 7382 + }, + { + "epoch": 0.6480028305690486, + "grad_norm": 0.06689453125, + "learning_rate": 0.0010817298853967757, + "loss": 1.1721, + "step": 7383 + }, + { + "epoch": 0.6480906001519511, + "grad_norm": 0.05810546875, + "learning_rate": 0.0010813452037690728, + "loss": 1.1369, + "step": 7384 + }, + { + "epoch": 0.6481783697348535, + "grad_norm": 0.06005859375, + "learning_rate": 0.0010809605782653479, + "loss": 1.1265, + "step": 7385 + }, + { + "epoch": 0.648266139317756, + "grad_norm": 0.06982421875, + "learning_rate": 0.001080576008923563, + "loss": 1.1657, + "step": 7386 + }, + { + "epoch": 0.6483539089006586, + "grad_norm": 0.04638671875, + "learning_rate": 0.0010801914957816717, + "loss": 1.192, + "step": 7387 + }, + { + "epoch": 0.648441678483561, + "grad_norm": 0.10009765625, + "learning_rate": 0.0010798070388776258, + "loss": 1.1861, + "step": 7388 + }, + { + "epoch": 0.6485294480664635, + "grad_norm": 0.06982421875, + "learning_rate": 0.0010794226382493698, + "loss": 1.1926, + "step": 7389 + }, + { + "epoch": 0.648617217649366, + "grad_norm": 0.05029296875, + "learning_rate": 0.001079038293934841, + "loss": 1.232, + "step": 7390 + }, + { + "epoch": 0.6487049872322684, + "grad_norm": 0.07421875, + "learning_rate": 0.0010786540059719732, + "loss": 1.1828, + "step": 7391 + }, + { + "epoch": 0.648792756815171, + "grad_norm": 0.076171875, + "learning_rate": 0.0010782697743986947, + "loss": 1.1692, + "step": 7392 + }, + { + "epoch": 0.6488805263980735, + "grad_norm": 0.05859375, + "learning_rate": 0.001077885599252927, + "loss": 1.1621, + "step": 7393 + }, + { + "epoch": 0.6489682959809759, + "grad_norm": 0.0673828125, + "learning_rate": 0.0010775014805725872, + "loss": 1.2018, + "step": 7394 + }, + { + "epoch": 0.6490560655638784, + "grad_norm": 0.055419921875, + "learning_rate": 0.0010771174183955858, + "loss": 1.1678, + "step": 7395 + }, + { + "epoch": 0.6491438351467809, + "grad_norm": 0.050048828125, + "learning_rate": 0.0010767334127598283, + "loss": 1.1907, + "step": 7396 + }, + { + "epoch": 0.6492316047296834, + "grad_norm": 0.0517578125, + "learning_rate": 0.0010763494637032148, + "loss": 1.1496, + "step": 7397 + }, + { + "epoch": 0.6493193743125859, + "grad_norm": 0.0673828125, + "learning_rate": 0.0010759655712636392, + "loss": 1.138, + "step": 7398 + }, + { + "epoch": 0.6494071438954884, + "grad_norm": 0.06005859375, + "learning_rate": 0.0010755817354789906, + "loss": 1.1731, + "step": 7399 + }, + { + "epoch": 0.6494949134783908, + "grad_norm": 0.0478515625, + "learning_rate": 0.001075197956387152, + "loss": 1.1525, + "step": 7400 + }, + { + "epoch": 0.6495826830612933, + "grad_norm": 0.07373046875, + "learning_rate": 0.0010748142340260012, + "loss": 1.2266, + "step": 7401 + }, + { + "epoch": 0.6496704526441959, + "grad_norm": 0.09814453125, + "learning_rate": 0.0010744305684334085, + "loss": 1.1505, + "step": 7402 + }, + { + "epoch": 0.6497582222270983, + "grad_norm": 0.046875, + "learning_rate": 0.0010740469596472418, + "loss": 1.1368, + "step": 7403 + }, + { + "epoch": 0.6498459918100008, + "grad_norm": 0.07763671875, + "learning_rate": 0.0010736634077053613, + "loss": 1.102, + "step": 7404 + }, + { + "epoch": 0.6499337613929033, + "grad_norm": 0.095703125, + "learning_rate": 0.001073279912645622, + "loss": 1.1294, + "step": 7405 + }, + { + "epoch": 0.6500215309758057, + "grad_norm": 0.046630859375, + "learning_rate": 0.0010728964745058734, + "loss": 1.0945, + "step": 7406 + }, + { + "epoch": 0.6501093005587083, + "grad_norm": 0.055419921875, + "learning_rate": 0.0010725130933239586, + "loss": 1.1717, + "step": 7407 + }, + { + "epoch": 0.6501970701416108, + "grad_norm": 0.087890625, + "learning_rate": 0.0010721297691377168, + "loss": 1.2247, + "step": 7408 + }, + { + "epoch": 0.6502848397245132, + "grad_norm": 0.064453125, + "learning_rate": 0.0010717465019849813, + "loss": 1.2197, + "step": 7409 + }, + { + "epoch": 0.6503726093074157, + "grad_norm": 0.06787109375, + "learning_rate": 0.0010713632919035771, + "loss": 1.1236, + "step": 7410 + }, + { + "epoch": 0.6504603788903182, + "grad_norm": 0.060791015625, + "learning_rate": 0.0010709801389313263, + "loss": 1.1849, + "step": 7411 + }, + { + "epoch": 0.6505481484732206, + "grad_norm": 0.05322265625, + "learning_rate": 0.001070597043106045, + "loss": 1.1478, + "step": 7412 + }, + { + "epoch": 0.6506359180561232, + "grad_norm": 0.053466796875, + "learning_rate": 0.0010702140044655433, + "loss": 1.1462, + "step": 7413 + }, + { + "epoch": 0.6507236876390257, + "grad_norm": 0.052490234375, + "learning_rate": 0.0010698310230476248, + "loss": 1.1684, + "step": 7414 + }, + { + "epoch": 0.6508114572219281, + "grad_norm": 0.060546875, + "learning_rate": 0.001069448098890089, + "loss": 1.1847, + "step": 7415 + }, + { + "epoch": 0.6508992268048306, + "grad_norm": 0.049072265625, + "learning_rate": 0.0010690652320307283, + "loss": 1.2024, + "step": 7416 + }, + { + "epoch": 0.650986996387733, + "grad_norm": 0.04833984375, + "learning_rate": 0.0010686824225073308, + "loss": 1.1414, + "step": 7417 + }, + { + "epoch": 0.6510747659706356, + "grad_norm": 0.052001953125, + "learning_rate": 0.0010682996703576778, + "loss": 1.1509, + "step": 7418 + }, + { + "epoch": 0.6511625355535381, + "grad_norm": 0.053466796875, + "learning_rate": 0.001067916975619546, + "loss": 1.189, + "step": 7419 + }, + { + "epoch": 0.6512503051364406, + "grad_norm": 0.05859375, + "learning_rate": 0.0010675343383307052, + "loss": 1.1827, + "step": 7420 + }, + { + "epoch": 0.651338074719343, + "grad_norm": 0.05224609375, + "learning_rate": 0.0010671517585289212, + "loss": 1.1685, + "step": 7421 + }, + { + "epoch": 0.6514258443022455, + "grad_norm": 0.044921875, + "learning_rate": 0.0010667692362519518, + "loss": 1.1659, + "step": 7422 + }, + { + "epoch": 0.6515136138851481, + "grad_norm": 0.05029296875, + "learning_rate": 0.0010663867715375514, + "loss": 1.159, + "step": 7423 + }, + { + "epoch": 0.6516013834680505, + "grad_norm": 0.060546875, + "learning_rate": 0.0010660043644234668, + "loss": 1.1856, + "step": 7424 + }, + { + "epoch": 0.651689153050953, + "grad_norm": 0.0810546875, + "learning_rate": 0.001065622014947442, + "loss": 1.2044, + "step": 7425 + }, + { + "epoch": 0.6517769226338554, + "grad_norm": 0.06640625, + "learning_rate": 0.001065239723147211, + "loss": 1.1827, + "step": 7426 + }, + { + "epoch": 0.6518646922167579, + "grad_norm": 0.10546875, + "learning_rate": 0.0010648574890605048, + "loss": 1.1387, + "step": 7427 + }, + { + "epoch": 0.6519524617996605, + "grad_norm": 0.054443359375, + "learning_rate": 0.0010644753127250501, + "loss": 1.1702, + "step": 7428 + }, + { + "epoch": 0.652040231382563, + "grad_norm": 0.058837890625, + "learning_rate": 0.0010640931941785657, + "loss": 1.1393, + "step": 7429 + }, + { + "epoch": 0.6521280009654654, + "grad_norm": 0.07373046875, + "learning_rate": 0.001063711133458764, + "loss": 1.1745, + "step": 7430 + }, + { + "epoch": 0.6522157705483679, + "grad_norm": 0.0849609375, + "learning_rate": 0.0010633291306033537, + "loss": 1.1578, + "step": 7431 + }, + { + "epoch": 0.6523035401312703, + "grad_norm": 0.050537109375, + "learning_rate": 0.0010629471856500369, + "loss": 1.1797, + "step": 7432 + }, + { + "epoch": 0.6523913097141729, + "grad_norm": 0.08837890625, + "learning_rate": 0.0010625652986365102, + "loss": 1.192, + "step": 7433 + }, + { + "epoch": 0.6524790792970754, + "grad_norm": 0.0732421875, + "learning_rate": 0.0010621834696004642, + "loss": 1.154, + "step": 7434 + }, + { + "epoch": 0.6525668488799778, + "grad_norm": 0.04931640625, + "learning_rate": 0.0010618016985795837, + "loss": 1.1647, + "step": 7435 + }, + { + "epoch": 0.6526546184628803, + "grad_norm": 0.06982421875, + "learning_rate": 0.001061419985611548, + "loss": 1.1697, + "step": 7436 + }, + { + "epoch": 0.6527423880457828, + "grad_norm": 0.09375, + "learning_rate": 0.001061038330734031, + "loss": 1.1335, + "step": 7437 + }, + { + "epoch": 0.6528301576286853, + "grad_norm": 0.0458984375, + "learning_rate": 0.0010606567339847004, + "loss": 1.142, + "step": 7438 + }, + { + "epoch": 0.6529179272115878, + "grad_norm": 0.0830078125, + "learning_rate": 0.0010602751954012178, + "loss": 1.2087, + "step": 7439 + }, + { + "epoch": 0.6530056967944903, + "grad_norm": 0.09130859375, + "learning_rate": 0.0010598937150212411, + "loss": 1.178, + "step": 7440 + }, + { + "epoch": 0.6530934663773927, + "grad_norm": 0.049560546875, + "learning_rate": 0.001059512292882419, + "loss": 1.1701, + "step": 7441 + }, + { + "epoch": 0.6531812359602952, + "grad_norm": 0.0771484375, + "learning_rate": 0.001059130929022397, + "loss": 1.1621, + "step": 7442 + }, + { + "epoch": 0.6532690055431977, + "grad_norm": 0.07861328125, + "learning_rate": 0.0010587496234788145, + "loss": 1.1816, + "step": 7443 + }, + { + "epoch": 0.6533567751261002, + "grad_norm": 0.052001953125, + "learning_rate": 0.0010583683762893047, + "loss": 1.1756, + "step": 7444 + }, + { + "epoch": 0.6534445447090027, + "grad_norm": 0.07470703125, + "learning_rate": 0.0010579871874914957, + "loss": 1.1811, + "step": 7445 + }, + { + "epoch": 0.6535323142919052, + "grad_norm": 0.060302734375, + "learning_rate": 0.0010576060571230084, + "loss": 1.1811, + "step": 7446 + }, + { + "epoch": 0.6536200838748076, + "grad_norm": 0.054443359375, + "learning_rate": 0.0010572249852214585, + "loss": 1.1828, + "step": 7447 + }, + { + "epoch": 0.6537078534577101, + "grad_norm": 0.052978515625, + "learning_rate": 0.0010568439718244584, + "loss": 1.1525, + "step": 7448 + }, + { + "epoch": 0.6537956230406127, + "grad_norm": 0.05712890625, + "learning_rate": 0.0010564630169696107, + "loss": 1.1948, + "step": 7449 + }, + { + "epoch": 0.6538833926235151, + "grad_norm": 0.062255859375, + "learning_rate": 0.0010560821206945146, + "loss": 1.1936, + "step": 7450 + }, + { + "epoch": 0.6539711622064176, + "grad_norm": 0.052978515625, + "learning_rate": 0.0010557012830367631, + "loss": 1.1798, + "step": 7451 + }, + { + "epoch": 0.6540589317893201, + "grad_norm": 0.06884765625, + "learning_rate": 0.0010553205040339441, + "loss": 1.1943, + "step": 7452 + }, + { + "epoch": 0.6541467013722225, + "grad_norm": 0.054931640625, + "learning_rate": 0.0010549397837236378, + "loss": 1.1061, + "step": 7453 + }, + { + "epoch": 0.6542344709551251, + "grad_norm": 0.06494140625, + "learning_rate": 0.0010545591221434204, + "loss": 1.1858, + "step": 7454 + }, + { + "epoch": 0.6543222405380276, + "grad_norm": 0.05224609375, + "learning_rate": 0.0010541785193308613, + "loss": 1.1468, + "step": 7455 + }, + { + "epoch": 0.65441001012093, + "grad_norm": 0.08203125, + "learning_rate": 0.0010537979753235255, + "loss": 1.2189, + "step": 7456 + }, + { + "epoch": 0.6544977797038325, + "grad_norm": 0.1005859375, + "learning_rate": 0.0010534174901589697, + "loss": 1.1345, + "step": 7457 + }, + { + "epoch": 0.654585549286735, + "grad_norm": 0.056640625, + "learning_rate": 0.0010530370638747472, + "loss": 1.1063, + "step": 7458 + }, + { + "epoch": 0.6546733188696375, + "grad_norm": 0.154296875, + "learning_rate": 0.001052656696508405, + "loss": 1.1867, + "step": 7459 + }, + { + "epoch": 0.65476108845254, + "grad_norm": 0.07421875, + "learning_rate": 0.0010522763880974832, + "loss": 1.1661, + "step": 7460 + }, + { + "epoch": 0.6548488580354425, + "grad_norm": 0.04931640625, + "learning_rate": 0.0010518961386795163, + "loss": 1.1643, + "step": 7461 + }, + { + "epoch": 0.6549366276183449, + "grad_norm": 0.0537109375, + "learning_rate": 0.0010515159482920344, + "loss": 1.1617, + "step": 7462 + }, + { + "epoch": 0.6550243972012474, + "grad_norm": 0.09375, + "learning_rate": 0.00105113581697256, + "loss": 1.1695, + "step": 7463 + }, + { + "epoch": 0.65511216678415, + "grad_norm": 0.06591796875, + "learning_rate": 0.0010507557447586113, + "loss": 1.2014, + "step": 7464 + }, + { + "epoch": 0.6551999363670524, + "grad_norm": 0.0595703125, + "learning_rate": 0.0010503757316876992, + "loss": 1.2037, + "step": 7465 + }, + { + "epoch": 0.6552877059499549, + "grad_norm": 0.05224609375, + "learning_rate": 0.0010499957777973298, + "loss": 1.1516, + "step": 7466 + }, + { + "epoch": 0.6553754755328574, + "grad_norm": 0.061767578125, + "learning_rate": 0.0010496158831250027, + "loss": 1.1988, + "step": 7467 + }, + { + "epoch": 0.6554632451157598, + "grad_norm": 0.0576171875, + "learning_rate": 0.0010492360477082129, + "loss": 1.1087, + "step": 7468 + }, + { + "epoch": 0.6555510146986623, + "grad_norm": 0.052001953125, + "learning_rate": 0.0010488562715844476, + "loss": 1.1695, + "step": 7469 + }, + { + "epoch": 0.6556387842815649, + "grad_norm": 0.05517578125, + "learning_rate": 0.00104847655479119, + "loss": 1.1787, + "step": 7470 + }, + { + "epoch": 0.6557265538644673, + "grad_norm": 0.052001953125, + "learning_rate": 0.0010480968973659163, + "loss": 1.2096, + "step": 7471 + }, + { + "epoch": 0.6558143234473698, + "grad_norm": 0.08056640625, + "learning_rate": 0.0010477172993460975, + "loss": 1.1342, + "step": 7472 + }, + { + "epoch": 0.6559020930302722, + "grad_norm": 0.051025390625, + "learning_rate": 0.0010473377607691978, + "loss": 1.1352, + "step": 7473 + }, + { + "epoch": 0.6559898626131747, + "grad_norm": 0.049072265625, + "learning_rate": 0.0010469582816726765, + "loss": 1.1584, + "step": 7474 + }, + { + "epoch": 0.6560776321960773, + "grad_norm": 0.057861328125, + "learning_rate": 0.0010465788620939865, + "loss": 1.1493, + "step": 7475 + }, + { + "epoch": 0.6561654017789798, + "grad_norm": 0.05419921875, + "learning_rate": 0.001046199502070576, + "loss": 1.1838, + "step": 7476 + }, + { + "epoch": 0.6562531713618822, + "grad_norm": 0.06005859375, + "learning_rate": 0.0010458202016398843, + "loss": 1.1783, + "step": 7477 + }, + { + "epoch": 0.6563409409447847, + "grad_norm": 0.060791015625, + "learning_rate": 0.0010454409608393485, + "loss": 1.0811, + "step": 7478 + }, + { + "epoch": 0.6564287105276871, + "grad_norm": 0.056640625, + "learning_rate": 0.0010450617797063985, + "loss": 1.2077, + "step": 7479 + }, + { + "epoch": 0.6565164801105897, + "grad_norm": 0.052490234375, + "learning_rate": 0.0010446826582784568, + "loss": 1.1302, + "step": 7480 + }, + { + "epoch": 0.6566042496934922, + "grad_norm": 0.054443359375, + "learning_rate": 0.0010443035965929414, + "loss": 1.1415, + "step": 7481 + }, + { + "epoch": 0.6566920192763946, + "grad_norm": 0.0546875, + "learning_rate": 0.0010439245946872642, + "loss": 1.2063, + "step": 7482 + }, + { + "epoch": 0.6567797888592971, + "grad_norm": 0.05078125, + "learning_rate": 0.0010435456525988316, + "loss": 1.1844, + "step": 7483 + }, + { + "epoch": 0.6568675584421996, + "grad_norm": 0.047119140625, + "learning_rate": 0.001043166770365044, + "loss": 1.1675, + "step": 7484 + }, + { + "epoch": 0.6569553280251021, + "grad_norm": 0.051025390625, + "learning_rate": 0.0010427879480232947, + "loss": 1.1046, + "step": 7485 + }, + { + "epoch": 0.6570430976080046, + "grad_norm": 0.052001953125, + "learning_rate": 0.001042409185610972, + "loss": 1.2051, + "step": 7486 + }, + { + "epoch": 0.6571308671909071, + "grad_norm": 0.046142578125, + "learning_rate": 0.0010420304831654586, + "loss": 1.1564, + "step": 7487 + }, + { + "epoch": 0.6572186367738095, + "grad_norm": 0.058349609375, + "learning_rate": 0.001041651840724131, + "loss": 1.211, + "step": 7488 + }, + { + "epoch": 0.657306406356712, + "grad_norm": 0.05859375, + "learning_rate": 0.0010412732583243596, + "loss": 1.1553, + "step": 7489 + }, + { + "epoch": 0.6573941759396146, + "grad_norm": 0.052001953125, + "learning_rate": 0.0010408947360035091, + "loss": 1.2304, + "step": 7490 + }, + { + "epoch": 0.657481945522517, + "grad_norm": 0.0556640625, + "learning_rate": 0.0010405162737989384, + "loss": 1.1062, + "step": 7491 + }, + { + "epoch": 0.6575697151054195, + "grad_norm": 0.051513671875, + "learning_rate": 0.0010401378717479995, + "loss": 1.1875, + "step": 7492 + }, + { + "epoch": 0.657657484688322, + "grad_norm": 0.053955078125, + "learning_rate": 0.0010397595298880394, + "loss": 1.1181, + "step": 7493 + }, + { + "epoch": 0.6577452542712244, + "grad_norm": 0.055419921875, + "learning_rate": 0.0010393812482563992, + "loss": 1.197, + "step": 7494 + }, + { + "epoch": 0.657833023854127, + "grad_norm": 0.062255859375, + "learning_rate": 0.0010390030268904139, + "loss": 1.1492, + "step": 7495 + }, + { + "epoch": 0.6579207934370295, + "grad_norm": 0.06298828125, + "learning_rate": 0.0010386248658274123, + "loss": 1.1897, + "step": 7496 + }, + { + "epoch": 0.6580085630199319, + "grad_norm": 0.04833984375, + "learning_rate": 0.0010382467651047166, + "loss": 1.1576, + "step": 7497 + }, + { + "epoch": 0.6580963326028344, + "grad_norm": 0.055419921875, + "learning_rate": 0.001037868724759645, + "loss": 1.157, + "step": 7498 + }, + { + "epoch": 0.6581841021857369, + "grad_norm": 0.0771484375, + "learning_rate": 0.001037490744829509, + "loss": 1.2018, + "step": 7499 + }, + { + "epoch": 0.6582718717686393, + "grad_norm": 0.048828125, + "learning_rate": 0.001037112825351612, + "loss": 1.1524, + "step": 7500 + }, + { + "epoch": 0.6582718717686393, + "eval_loss": 1.1542067527770996, + "eval_runtime": 437.527, + "eval_samples_per_second": 33.689, + "eval_steps_per_second": 8.422, + "step": 7500 + }, + { + "epoch": 0.6583596413515419, + "grad_norm": 0.056884765625, + "learning_rate": 0.0010367349663632543, + "loss": 1.1367, + "step": 7501 + }, + { + "epoch": 0.6584474109344444, + "grad_norm": 0.06103515625, + "learning_rate": 0.0010363571679017287, + "loss": 1.1746, + "step": 7502 + }, + { + "epoch": 0.6585351805173468, + "grad_norm": 0.0458984375, + "learning_rate": 0.001035979430004323, + "loss": 1.1149, + "step": 7503 + }, + { + "epoch": 0.6586229501002493, + "grad_norm": 0.058837890625, + "learning_rate": 0.001035601752708318, + "loss": 1.1887, + "step": 7504 + }, + { + "epoch": 0.6587107196831518, + "grad_norm": 0.054443359375, + "learning_rate": 0.0010352241360509884, + "loss": 1.0863, + "step": 7505 + }, + { + "epoch": 0.6587984892660543, + "grad_norm": 0.056884765625, + "learning_rate": 0.0010348465800696042, + "loss": 1.1251, + "step": 7506 + }, + { + "epoch": 0.6588862588489568, + "grad_norm": 0.055419921875, + "learning_rate": 0.0010344690848014286, + "loss": 1.1696, + "step": 7507 + }, + { + "epoch": 0.6589740284318593, + "grad_norm": 0.07666015625, + "learning_rate": 0.0010340916502837186, + "loss": 1.1502, + "step": 7508 + }, + { + "epoch": 0.6590617980147617, + "grad_norm": 0.053955078125, + "learning_rate": 0.001033714276553726, + "loss": 1.2118, + "step": 7509 + }, + { + "epoch": 0.6591495675976642, + "grad_norm": 0.04638671875, + "learning_rate": 0.0010333369636486955, + "loss": 1.1022, + "step": 7510 + }, + { + "epoch": 0.6592373371805668, + "grad_norm": 0.06689453125, + "learning_rate": 0.0010329597116058673, + "loss": 1.179, + "step": 7511 + }, + { + "epoch": 0.6593251067634692, + "grad_norm": 0.0498046875, + "learning_rate": 0.0010325825204624739, + "loss": 1.1378, + "step": 7512 + }, + { + "epoch": 0.6594128763463717, + "grad_norm": 0.04931640625, + "learning_rate": 0.001032205390255742, + "loss": 1.1667, + "step": 7513 + }, + { + "epoch": 0.6595006459292742, + "grad_norm": 0.0625, + "learning_rate": 0.001031828321022894, + "loss": 1.1835, + "step": 7514 + }, + { + "epoch": 0.6595884155121766, + "grad_norm": 0.07470703125, + "learning_rate": 0.001031451312801145, + "loss": 1.1409, + "step": 7515 + }, + { + "epoch": 0.6596761850950792, + "grad_norm": 0.05224609375, + "learning_rate": 0.001031074365627704, + "loss": 1.1511, + "step": 7516 + }, + { + "epoch": 0.6597639546779817, + "grad_norm": 0.057861328125, + "learning_rate": 0.0010306974795397735, + "loss": 1.2515, + "step": 7517 + }, + { + "epoch": 0.6598517242608841, + "grad_norm": 0.064453125, + "learning_rate": 0.0010303206545745512, + "loss": 1.1652, + "step": 7518 + }, + { + "epoch": 0.6599394938437866, + "grad_norm": 0.05078125, + "learning_rate": 0.0010299438907692294, + "loss": 1.1844, + "step": 7519 + }, + { + "epoch": 0.660027263426689, + "grad_norm": 0.05029296875, + "learning_rate": 0.0010295671881609915, + "loss": 1.2179, + "step": 7520 + }, + { + "epoch": 0.6601150330095916, + "grad_norm": 0.07080078125, + "learning_rate": 0.0010291905467870173, + "loss": 1.1929, + "step": 7521 + }, + { + "epoch": 0.6602028025924941, + "grad_norm": 0.052734375, + "learning_rate": 0.0010288139666844796, + "loss": 1.1631, + "step": 7522 + }, + { + "epoch": 0.6602905721753966, + "grad_norm": 0.07568359375, + "learning_rate": 0.001028437447890546, + "loss": 1.1859, + "step": 7523 + }, + { + "epoch": 0.660378341758299, + "grad_norm": 0.051513671875, + "learning_rate": 0.0010280609904423762, + "loss": 1.1383, + "step": 7524 + }, + { + "epoch": 0.6604661113412015, + "grad_norm": 0.045654296875, + "learning_rate": 0.001027684594377126, + "loss": 1.1695, + "step": 7525 + }, + { + "epoch": 0.6605538809241039, + "grad_norm": 0.053955078125, + "learning_rate": 0.0010273082597319438, + "loss": 1.2506, + "step": 7526 + }, + { + "epoch": 0.6606416505070065, + "grad_norm": 0.0732421875, + "learning_rate": 0.0010269319865439733, + "loss": 1.1903, + "step": 7527 + }, + { + "epoch": 0.660729420089909, + "grad_norm": 0.058349609375, + "learning_rate": 0.0010265557748503492, + "loss": 1.2044, + "step": 7528 + }, + { + "epoch": 0.6608171896728114, + "grad_norm": 0.055908203125, + "learning_rate": 0.0010261796246882034, + "loss": 1.1101, + "step": 7529 + }, + { + "epoch": 0.6609049592557139, + "grad_norm": 0.0712890625, + "learning_rate": 0.0010258035360946613, + "loss": 1.2722, + "step": 7530 + }, + { + "epoch": 0.6609927288386164, + "grad_norm": 0.0546875, + "learning_rate": 0.0010254275091068398, + "loss": 1.1531, + "step": 7531 + }, + { + "epoch": 0.661080498421519, + "grad_norm": 0.07470703125, + "learning_rate": 0.0010250515437618516, + "loss": 1.1621, + "step": 7532 + }, + { + "epoch": 0.6611682680044214, + "grad_norm": 0.049072265625, + "learning_rate": 0.0010246756400968035, + "loss": 1.1826, + "step": 7533 + }, + { + "epoch": 0.6612560375873239, + "grad_norm": 0.05126953125, + "learning_rate": 0.0010242997981487953, + "loss": 1.162, + "step": 7534 + }, + { + "epoch": 0.6613438071702263, + "grad_norm": 0.053955078125, + "learning_rate": 0.001023924017954922, + "loss": 1.0968, + "step": 7535 + }, + { + "epoch": 0.6614315767531288, + "grad_norm": 0.04736328125, + "learning_rate": 0.0010235482995522701, + "loss": 1.1565, + "step": 7536 + }, + { + "epoch": 0.6615193463360314, + "grad_norm": 0.057373046875, + "learning_rate": 0.0010231726429779221, + "loss": 1.1429, + "step": 7537 + }, + { + "epoch": 0.6616071159189338, + "grad_norm": 0.053466796875, + "learning_rate": 0.0010227970482689544, + "loss": 1.1905, + "step": 7538 + }, + { + "epoch": 0.6616948855018363, + "grad_norm": 0.047119140625, + "learning_rate": 0.0010224215154624363, + "loss": 1.1633, + "step": 7539 + }, + { + "epoch": 0.6617826550847388, + "grad_norm": 0.0517578125, + "learning_rate": 0.001022046044595431, + "loss": 1.1435, + "step": 7540 + }, + { + "epoch": 0.6618704246676412, + "grad_norm": 0.052001953125, + "learning_rate": 0.0010216706357049968, + "loss": 1.1591, + "step": 7541 + }, + { + "epoch": 0.6619581942505438, + "grad_norm": 0.0712890625, + "learning_rate": 0.001021295288828185, + "loss": 1.1754, + "step": 7542 + }, + { + "epoch": 0.6620459638334463, + "grad_norm": 0.0498046875, + "learning_rate": 0.0010209200040020403, + "loss": 1.1583, + "step": 7543 + }, + { + "epoch": 0.6621337334163487, + "grad_norm": 0.06201171875, + "learning_rate": 0.001020544781263602, + "loss": 1.1559, + "step": 7544 + }, + { + "epoch": 0.6622215029992512, + "grad_norm": 0.06640625, + "learning_rate": 0.001020169620649903, + "loss": 1.2208, + "step": 7545 + }, + { + "epoch": 0.6623092725821537, + "grad_norm": 0.045654296875, + "learning_rate": 0.0010197945221979703, + "loss": 1.1291, + "step": 7546 + }, + { + "epoch": 0.6623970421650562, + "grad_norm": 0.06787109375, + "learning_rate": 0.0010194194859448253, + "loss": 1.1563, + "step": 7547 + }, + { + "epoch": 0.6624848117479587, + "grad_norm": 0.08203125, + "learning_rate": 0.0010190445119274809, + "loss": 1.1922, + "step": 7548 + }, + { + "epoch": 0.6625725813308612, + "grad_norm": 0.046630859375, + "learning_rate": 0.001018669600182947, + "loss": 1.1005, + "step": 7549 + }, + { + "epoch": 0.6626603509137636, + "grad_norm": 0.08935546875, + "learning_rate": 0.0010182947507482263, + "loss": 1.1426, + "step": 7550 + }, + { + "epoch": 0.6627481204966661, + "grad_norm": 0.0537109375, + "learning_rate": 0.0010179199636603134, + "loss": 1.1628, + "step": 7551 + }, + { + "epoch": 0.6628358900795686, + "grad_norm": 0.06640625, + "learning_rate": 0.001017545238956199, + "loss": 1.1081, + "step": 7552 + }, + { + "epoch": 0.6629236596624711, + "grad_norm": 0.05810546875, + "learning_rate": 0.0010171705766728672, + "loss": 1.172, + "step": 7553 + }, + { + "epoch": 0.6630114292453736, + "grad_norm": 0.056396484375, + "learning_rate": 0.001016795976847296, + "loss": 1.2612, + "step": 7554 + }, + { + "epoch": 0.6630991988282761, + "grad_norm": 0.043212890625, + "learning_rate": 0.0010164214395164558, + "loss": 1.1134, + "step": 7555 + }, + { + "epoch": 0.6631869684111785, + "grad_norm": 0.051513671875, + "learning_rate": 0.0010160469647173128, + "loss": 1.1254, + "step": 7556 + }, + { + "epoch": 0.663274737994081, + "grad_norm": 0.052734375, + "learning_rate": 0.0010156725524868258, + "loss": 1.193, + "step": 7557 + }, + { + "epoch": 0.6633625075769836, + "grad_norm": 0.053466796875, + "learning_rate": 0.0010152982028619481, + "loss": 1.1669, + "step": 7558 + }, + { + "epoch": 0.663450277159886, + "grad_norm": 0.056884765625, + "learning_rate": 0.001014923915879626, + "loss": 1.2107, + "step": 7559 + }, + { + "epoch": 0.6635380467427885, + "grad_norm": 0.057373046875, + "learning_rate": 0.001014549691576801, + "loss": 1.1502, + "step": 7560 + }, + { + "epoch": 0.663625816325691, + "grad_norm": 0.05029296875, + "learning_rate": 0.001014175529990407, + "loss": 1.1681, + "step": 7561 + }, + { + "epoch": 0.6637135859085934, + "grad_norm": 0.05615234375, + "learning_rate": 0.0010138014311573725, + "loss": 1.217, + "step": 7562 + }, + { + "epoch": 0.663801355491496, + "grad_norm": 0.06298828125, + "learning_rate": 0.0010134273951146193, + "loss": 1.2235, + "step": 7563 + }, + { + "epoch": 0.6638891250743985, + "grad_norm": 0.0498046875, + "learning_rate": 0.0010130534218990633, + "loss": 1.2234, + "step": 7564 + }, + { + "epoch": 0.6639768946573009, + "grad_norm": 0.0537109375, + "learning_rate": 0.0010126795115476144, + "loss": 1.1258, + "step": 7565 + }, + { + "epoch": 0.6640646642402034, + "grad_norm": 0.048095703125, + "learning_rate": 0.0010123056640971764, + "loss": 1.1986, + "step": 7566 + }, + { + "epoch": 0.6641524338231058, + "grad_norm": 0.0634765625, + "learning_rate": 0.0010119318795846453, + "loss": 1.1504, + "step": 7567 + }, + { + "epoch": 0.6642402034060084, + "grad_norm": 0.050537109375, + "learning_rate": 0.001011558158046913, + "loss": 1.2351, + "step": 7568 + }, + { + "epoch": 0.6643279729889109, + "grad_norm": 0.047607421875, + "learning_rate": 0.0010111844995208646, + "loss": 1.169, + "step": 7569 + }, + { + "epoch": 0.6644157425718134, + "grad_norm": 0.048583984375, + "learning_rate": 0.0010108109040433786, + "loss": 1.1816, + "step": 7570 + }, + { + "epoch": 0.6645035121547158, + "grad_norm": 0.052978515625, + "learning_rate": 0.0010104373716513272, + "loss": 1.1892, + "step": 7571 + }, + { + "epoch": 0.6645912817376183, + "grad_norm": 0.050537109375, + "learning_rate": 0.0010100639023815764, + "loss": 1.1593, + "step": 7572 + }, + { + "epoch": 0.6646790513205209, + "grad_norm": 0.046142578125, + "learning_rate": 0.0010096904962709863, + "loss": 1.1053, + "step": 7573 + }, + { + "epoch": 0.6647668209034233, + "grad_norm": 0.04736328125, + "learning_rate": 0.0010093171533564114, + "loss": 1.1776, + "step": 7574 + }, + { + "epoch": 0.6648545904863258, + "grad_norm": 0.0517578125, + "learning_rate": 0.0010089438736746977, + "loss": 1.188, + "step": 7575 + }, + { + "epoch": 0.6649423600692282, + "grad_norm": 0.05029296875, + "learning_rate": 0.001008570657262687, + "loss": 1.1419, + "step": 7576 + }, + { + "epoch": 0.6650301296521307, + "grad_norm": 0.050537109375, + "learning_rate": 0.0010081975041572146, + "loss": 1.1453, + "step": 7577 + }, + { + "epoch": 0.6651178992350333, + "grad_norm": 0.046142578125, + "learning_rate": 0.0010078244143951092, + "loss": 1.1999, + "step": 7578 + }, + { + "epoch": 0.6652056688179357, + "grad_norm": 0.052001953125, + "learning_rate": 0.0010074513880131927, + "loss": 1.1856, + "step": 7579 + }, + { + "epoch": 0.6652934384008382, + "grad_norm": 0.06494140625, + "learning_rate": 0.0010070784250482822, + "loss": 1.1643, + "step": 7580 + }, + { + "epoch": 0.6653812079837407, + "grad_norm": 0.050048828125, + "learning_rate": 0.0010067055255371874, + "loss": 1.1458, + "step": 7581 + }, + { + "epoch": 0.6654689775666431, + "grad_norm": 0.0478515625, + "learning_rate": 0.0010063326895167117, + "loss": 1.1482, + "step": 7582 + }, + { + "epoch": 0.6655567471495456, + "grad_norm": 0.053466796875, + "learning_rate": 0.0010059599170236522, + "loss": 1.1127, + "step": 7583 + }, + { + "epoch": 0.6656445167324482, + "grad_norm": 0.05078125, + "learning_rate": 0.001005587208094801, + "loss": 1.1735, + "step": 7584 + }, + { + "epoch": 0.6657322863153506, + "grad_norm": 0.0498046875, + "learning_rate": 0.0010052145627669424, + "loss": 1.1611, + "step": 7585 + }, + { + "epoch": 0.6658200558982531, + "grad_norm": 0.051513671875, + "learning_rate": 0.0010048419810768556, + "loss": 1.1656, + "step": 7586 + }, + { + "epoch": 0.6659078254811556, + "grad_norm": 0.05078125, + "learning_rate": 0.0010044694630613122, + "loss": 1.1401, + "step": 7587 + }, + { + "epoch": 0.665995595064058, + "grad_norm": 0.052001953125, + "learning_rate": 0.0010040970087570778, + "loss": 1.1751, + "step": 7588 + }, + { + "epoch": 0.6660833646469606, + "grad_norm": 0.051025390625, + "learning_rate": 0.001003724618200914, + "loss": 1.1848, + "step": 7589 + }, + { + "epoch": 0.6661711342298631, + "grad_norm": 0.072265625, + "learning_rate": 0.0010033522914295729, + "loss": 1.1616, + "step": 7590 + }, + { + "epoch": 0.6662589038127655, + "grad_norm": 0.05029296875, + "learning_rate": 0.0010029800284798017, + "loss": 1.1242, + "step": 7591 + }, + { + "epoch": 0.666346673395668, + "grad_norm": 0.0830078125, + "learning_rate": 0.0010026078293883414, + "loss": 1.1533, + "step": 7592 + }, + { + "epoch": 0.6664344429785705, + "grad_norm": 0.053466796875, + "learning_rate": 0.0010022356941919277, + "loss": 1.1897, + "step": 7593 + }, + { + "epoch": 0.666522212561473, + "grad_norm": 0.058349609375, + "learning_rate": 0.0010018636229272872, + "loss": 1.1415, + "step": 7594 + }, + { + "epoch": 0.6666099821443755, + "grad_norm": 0.054931640625, + "learning_rate": 0.0010014916156311428, + "loss": 1.1156, + "step": 7595 + }, + { + "epoch": 0.666697751727278, + "grad_norm": 0.09130859375, + "learning_rate": 0.0010011196723402095, + "loss": 1.1491, + "step": 7596 + }, + { + "epoch": 0.6667855213101804, + "grad_norm": 0.0634765625, + "learning_rate": 0.0010007477930911973, + "loss": 1.2224, + "step": 7597 + }, + { + "epoch": 0.6668732908930829, + "grad_norm": 0.06103515625, + "learning_rate": 0.001000375977920809, + "loss": 1.1837, + "step": 7598 + }, + { + "epoch": 0.6669610604759855, + "grad_norm": 0.10009765625, + "learning_rate": 0.0010000042268657411, + "loss": 1.1603, + "step": 7599 + }, + { + "epoch": 0.6670488300588879, + "grad_norm": 0.0771484375, + "learning_rate": 0.0009996325399626842, + "loss": 1.1426, + "step": 7600 + }, + { + "epoch": 0.6671365996417904, + "grad_norm": 0.048583984375, + "learning_rate": 0.0009992609172483227, + "loss": 1.1939, + "step": 7601 + }, + { + "epoch": 0.6672243692246929, + "grad_norm": 0.07861328125, + "learning_rate": 0.0009988893587593334, + "loss": 1.1789, + "step": 7602 + }, + { + "epoch": 0.6673121388075953, + "grad_norm": 0.0830078125, + "learning_rate": 0.000998517864532388, + "loss": 1.1577, + "step": 7603 + }, + { + "epoch": 0.6673999083904979, + "grad_norm": 0.052001953125, + "learning_rate": 0.0009981464346041514, + "loss": 1.1166, + "step": 7604 + }, + { + "epoch": 0.6674876779734004, + "grad_norm": 0.061767578125, + "learning_rate": 0.0009977750690112832, + "loss": 1.1571, + "step": 7605 + }, + { + "epoch": 0.6675754475563028, + "grad_norm": 0.05908203125, + "learning_rate": 0.0009974037677904345, + "loss": 1.19, + "step": 7606 + }, + { + "epoch": 0.6676632171392053, + "grad_norm": 0.0810546875, + "learning_rate": 0.0009970325309782517, + "loss": 1.1368, + "step": 7607 + }, + { + "epoch": 0.6677509867221078, + "grad_norm": 0.0693359375, + "learning_rate": 0.0009966613586113737, + "loss": 1.1521, + "step": 7608 + }, + { + "epoch": 0.6678387563050102, + "grad_norm": 0.048583984375, + "learning_rate": 0.0009962902507264359, + "loss": 1.1355, + "step": 7609 + }, + { + "epoch": 0.6679265258879128, + "grad_norm": 0.125, + "learning_rate": 0.0009959192073600628, + "loss": 1.1424, + "step": 7610 + }, + { + "epoch": 0.6680142954708153, + "grad_norm": 0.10009765625, + "learning_rate": 0.000995548228548876, + "loss": 1.1445, + "step": 7611 + }, + { + "epoch": 0.6681020650537177, + "grad_norm": 0.052490234375, + "learning_rate": 0.0009951773143294896, + "loss": 1.1468, + "step": 7612 + }, + { + "epoch": 0.6681898346366202, + "grad_norm": 0.07373046875, + "learning_rate": 0.000994806464738512, + "loss": 1.1588, + "step": 7613 + }, + { + "epoch": 0.6682776042195226, + "grad_norm": 0.06298828125, + "learning_rate": 0.000994435679812543, + "loss": 1.157, + "step": 7614 + }, + { + "epoch": 0.6683653738024252, + "grad_norm": 0.061767578125, + "learning_rate": 0.0009940649595881782, + "loss": 1.1971, + "step": 7615 + }, + { + "epoch": 0.6684531433853277, + "grad_norm": 0.046875, + "learning_rate": 0.000993694304102007, + "loss": 1.1247, + "step": 7616 + }, + { + "epoch": 0.6685409129682301, + "grad_norm": 0.0830078125, + "learning_rate": 0.0009933237133906115, + "loss": 1.1375, + "step": 7617 + }, + { + "epoch": 0.6686286825511326, + "grad_norm": 0.07421875, + "learning_rate": 0.000992953187490566, + "loss": 1.155, + "step": 7618 + }, + { + "epoch": 0.6687164521340351, + "grad_norm": 0.0634765625, + "learning_rate": 0.0009925827264384418, + "loss": 1.1406, + "step": 7619 + }, + { + "epoch": 0.6688042217169377, + "grad_norm": 0.057373046875, + "learning_rate": 0.000992212330270801, + "loss": 1.2041, + "step": 7620 + }, + { + "epoch": 0.6688919912998401, + "grad_norm": 0.07861328125, + "learning_rate": 0.0009918419990242013, + "loss": 1.1697, + "step": 7621 + }, + { + "epoch": 0.6689797608827426, + "grad_norm": 0.048828125, + "learning_rate": 0.0009914717327351914, + "loss": 1.1396, + "step": 7622 + }, + { + "epoch": 0.669067530465645, + "grad_norm": 0.059326171875, + "learning_rate": 0.0009911015314403159, + "loss": 1.1588, + "step": 7623 + }, + { + "epoch": 0.6691553000485475, + "grad_norm": 0.0751953125, + "learning_rate": 0.0009907313951761118, + "loss": 1.1473, + "step": 7624 + }, + { + "epoch": 0.6692430696314501, + "grad_norm": 0.052490234375, + "learning_rate": 0.0009903613239791113, + "loss": 1.1636, + "step": 7625 + }, + { + "epoch": 0.6693308392143525, + "grad_norm": 0.05712890625, + "learning_rate": 0.0009899913178858372, + "loss": 1.1066, + "step": 7626 + }, + { + "epoch": 0.669418608797255, + "grad_norm": 0.04833984375, + "learning_rate": 0.0009896213769328087, + "loss": 1.1912, + "step": 7627 + }, + { + "epoch": 0.6695063783801575, + "grad_norm": 0.049560546875, + "learning_rate": 0.0009892515011565373, + "loss": 1.2135, + "step": 7628 + }, + { + "epoch": 0.6695941479630599, + "grad_norm": 0.051513671875, + "learning_rate": 0.0009888816905935284, + "loss": 1.2189, + "step": 7629 + }, + { + "epoch": 0.6696819175459625, + "grad_norm": 0.052978515625, + "learning_rate": 0.0009885119452802806, + "loss": 1.0823, + "step": 7630 + }, + { + "epoch": 0.669769687128865, + "grad_norm": 0.056640625, + "learning_rate": 0.0009881422652532866, + "loss": 1.1698, + "step": 7631 + }, + { + "epoch": 0.6698574567117674, + "grad_norm": 0.046875, + "learning_rate": 0.0009877726505490324, + "loss": 1.1805, + "step": 7632 + }, + { + "epoch": 0.6699452262946699, + "grad_norm": 0.04931640625, + "learning_rate": 0.0009874031012039968, + "loss": 1.1808, + "step": 7633 + }, + { + "epoch": 0.6700329958775724, + "grad_norm": 0.0810546875, + "learning_rate": 0.0009870336172546536, + "loss": 1.1631, + "step": 7634 + }, + { + "epoch": 0.6701207654604749, + "grad_norm": 0.052490234375, + "learning_rate": 0.0009866641987374691, + "loss": 1.1339, + "step": 7635 + }, + { + "epoch": 0.6702085350433774, + "grad_norm": 0.052490234375, + "learning_rate": 0.0009862948456889034, + "loss": 1.1956, + "step": 7636 + }, + { + "epoch": 0.6702963046262799, + "grad_norm": 0.050048828125, + "learning_rate": 0.0009859255581454107, + "loss": 1.1833, + "step": 7637 + }, + { + "epoch": 0.6703840742091823, + "grad_norm": 0.0908203125, + "learning_rate": 0.0009855563361434374, + "loss": 1.1233, + "step": 7638 + }, + { + "epoch": 0.6704718437920848, + "grad_norm": 0.047119140625, + "learning_rate": 0.000985187179719424, + "loss": 1.1722, + "step": 7639 + }, + { + "epoch": 0.6705596133749873, + "grad_norm": 0.058837890625, + "learning_rate": 0.0009848180889098065, + "loss": 1.162, + "step": 7640 + }, + { + "epoch": 0.6706473829578898, + "grad_norm": 0.050537109375, + "learning_rate": 0.0009844490637510113, + "loss": 1.173, + "step": 7641 + }, + { + "epoch": 0.6707351525407923, + "grad_norm": 0.060791015625, + "learning_rate": 0.00098408010427946, + "loss": 1.1737, + "step": 7642 + }, + { + "epoch": 0.6708229221236948, + "grad_norm": 0.05224609375, + "learning_rate": 0.0009837112105315674, + "loss": 1.1646, + "step": 7643 + }, + { + "epoch": 0.6709106917065972, + "grad_norm": 0.062255859375, + "learning_rate": 0.0009833423825437425, + "loss": 1.0963, + "step": 7644 + }, + { + "epoch": 0.6709984612894997, + "grad_norm": 0.06591796875, + "learning_rate": 0.000982973620352386, + "loss": 1.1699, + "step": 7645 + }, + { + "epoch": 0.6710862308724023, + "grad_norm": 0.0537109375, + "learning_rate": 0.000982604923993894, + "loss": 1.1752, + "step": 7646 + }, + { + "epoch": 0.6711740004553047, + "grad_norm": 0.08740234375, + "learning_rate": 0.0009822362935046553, + "loss": 1.1581, + "step": 7647 + }, + { + "epoch": 0.6712617700382072, + "grad_norm": 0.046142578125, + "learning_rate": 0.0009818677289210524, + "loss": 1.1628, + "step": 7648 + }, + { + "epoch": 0.6713495396211097, + "grad_norm": 0.07177734375, + "learning_rate": 0.0009814992302794607, + "loss": 1.1635, + "step": 7649 + }, + { + "epoch": 0.6714373092040121, + "grad_norm": 0.064453125, + "learning_rate": 0.0009811307976162497, + "loss": 1.1884, + "step": 7650 + }, + { + "epoch": 0.6715250787869147, + "grad_norm": 0.055419921875, + "learning_rate": 0.0009807624309677828, + "loss": 1.1399, + "step": 7651 + }, + { + "epoch": 0.6716128483698172, + "grad_norm": 0.1064453125, + "learning_rate": 0.0009803941303704162, + "loss": 1.2139, + "step": 7652 + }, + { + "epoch": 0.6717006179527196, + "grad_norm": 0.053466796875, + "learning_rate": 0.0009800258958604989, + "loss": 1.1877, + "step": 7653 + }, + { + "epoch": 0.6717883875356221, + "grad_norm": 0.0732421875, + "learning_rate": 0.0009796577274743747, + "loss": 1.1546, + "step": 7654 + }, + { + "epoch": 0.6718761571185246, + "grad_norm": 0.076171875, + "learning_rate": 0.0009792896252483806, + "loss": 1.2116, + "step": 7655 + }, + { + "epoch": 0.6719639267014271, + "grad_norm": 0.055419921875, + "learning_rate": 0.000978921589218847, + "loss": 1.1654, + "step": 7656 + }, + { + "epoch": 0.6720516962843296, + "grad_norm": 0.0576171875, + "learning_rate": 0.0009785536194220966, + "loss": 1.2392, + "step": 7657 + }, + { + "epoch": 0.672139465867232, + "grad_norm": 0.055419921875, + "learning_rate": 0.0009781857158944474, + "loss": 1.1494, + "step": 7658 + }, + { + "epoch": 0.6722272354501345, + "grad_norm": 0.053466796875, + "learning_rate": 0.000977817878672209, + "loss": 1.1945, + "step": 7659 + }, + { + "epoch": 0.672315005033037, + "grad_norm": 0.051025390625, + "learning_rate": 0.0009774501077916876, + "loss": 1.1894, + "step": 7660 + }, + { + "epoch": 0.6724027746159396, + "grad_norm": 0.06640625, + "learning_rate": 0.0009770824032891787, + "loss": 1.1601, + "step": 7661 + }, + { + "epoch": 0.672490544198842, + "grad_norm": 0.06591796875, + "learning_rate": 0.0009767147652009743, + "loss": 1.1335, + "step": 7662 + }, + { + "epoch": 0.6725783137817445, + "grad_norm": 0.08203125, + "learning_rate": 0.0009763471935633583, + "loss": 1.1646, + "step": 7663 + }, + { + "epoch": 0.672666083364647, + "grad_norm": 0.0576171875, + "learning_rate": 0.0009759796884126091, + "loss": 1.1935, + "step": 7664 + }, + { + "epoch": 0.6727538529475494, + "grad_norm": 0.047607421875, + "learning_rate": 0.0009756122497849975, + "loss": 1.1513, + "step": 7665 + }, + { + "epoch": 0.6728416225304519, + "grad_norm": 0.0751953125, + "learning_rate": 0.0009752448777167882, + "loss": 1.2074, + "step": 7666 + }, + { + "epoch": 0.6729293921133545, + "grad_norm": 0.08447265625, + "learning_rate": 0.0009748775722442397, + "loss": 1.1713, + "step": 7667 + }, + { + "epoch": 0.6730171616962569, + "grad_norm": 0.05810546875, + "learning_rate": 0.000974510333403604, + "loss": 1.1759, + "step": 7668 + }, + { + "epoch": 0.6731049312791594, + "grad_norm": 0.078125, + "learning_rate": 0.0009741431612311248, + "loss": 1.1839, + "step": 7669 + }, + { + "epoch": 0.6731927008620618, + "grad_norm": 0.0703125, + "learning_rate": 0.0009737760557630415, + "loss": 1.1683, + "step": 7670 + }, + { + "epoch": 0.6732804704449643, + "grad_norm": 0.055419921875, + "learning_rate": 0.0009734090170355861, + "loss": 1.1198, + "step": 7671 + }, + { + "epoch": 0.6733682400278669, + "grad_norm": 0.04736328125, + "learning_rate": 0.000973042045084984, + "loss": 1.1495, + "step": 7672 + }, + { + "epoch": 0.6734560096107693, + "grad_norm": 0.054931640625, + "learning_rate": 0.0009726751399474528, + "loss": 1.1711, + "step": 7673 + }, + { + "epoch": 0.6735437791936718, + "grad_norm": 0.06591796875, + "learning_rate": 0.0009723083016592053, + "loss": 1.2031, + "step": 7674 + }, + { + "epoch": 0.6736315487765743, + "grad_norm": 0.07568359375, + "learning_rate": 0.0009719415302564471, + "loss": 1.1721, + "step": 7675 + }, + { + "epoch": 0.6737193183594767, + "grad_norm": 0.056640625, + "learning_rate": 0.0009715748257753773, + "loss": 1.2159, + "step": 7676 + }, + { + "epoch": 0.6738070879423793, + "grad_norm": 0.056396484375, + "learning_rate": 0.0009712081882521875, + "loss": 1.2307, + "step": 7677 + }, + { + "epoch": 0.6738948575252818, + "grad_norm": 0.054931640625, + "learning_rate": 0.0009708416177230634, + "loss": 1.1604, + "step": 7678 + }, + { + "epoch": 0.6739826271081842, + "grad_norm": 0.05859375, + "learning_rate": 0.0009704751142241843, + "loss": 1.1815, + "step": 7679 + }, + { + "epoch": 0.6740703966910867, + "grad_norm": 0.056640625, + "learning_rate": 0.0009701086777917229, + "loss": 1.0932, + "step": 7680 + }, + { + "epoch": 0.6741581662739892, + "grad_norm": 0.052978515625, + "learning_rate": 0.0009697423084618447, + "loss": 1.168, + "step": 7681 + }, + { + "epoch": 0.6742459358568917, + "grad_norm": 0.0498046875, + "learning_rate": 0.0009693760062707093, + "loss": 1.1439, + "step": 7682 + }, + { + "epoch": 0.6743337054397942, + "grad_norm": 0.0517578125, + "learning_rate": 0.0009690097712544691, + "loss": 1.1661, + "step": 7683 + }, + { + "epoch": 0.6744214750226967, + "grad_norm": 0.044921875, + "learning_rate": 0.0009686436034492695, + "loss": 1.1484, + "step": 7684 + }, + { + "epoch": 0.6745092446055991, + "grad_norm": 0.049072265625, + "learning_rate": 0.0009682775028912504, + "loss": 1.202, + "step": 7685 + }, + { + "epoch": 0.6745970141885016, + "grad_norm": 0.0576171875, + "learning_rate": 0.0009679114696165442, + "loss": 1.1418, + "step": 7686 + }, + { + "epoch": 0.6746847837714042, + "grad_norm": 0.04736328125, + "learning_rate": 0.0009675455036612772, + "loss": 1.143, + "step": 7687 + }, + { + "epoch": 0.6747725533543066, + "grad_norm": 0.05615234375, + "learning_rate": 0.000967179605061569, + "loss": 1.1094, + "step": 7688 + }, + { + "epoch": 0.6748603229372091, + "grad_norm": 0.060302734375, + "learning_rate": 0.0009668137738535309, + "loss": 1.1096, + "step": 7689 + }, + { + "epoch": 0.6749480925201116, + "grad_norm": 0.0517578125, + "learning_rate": 0.0009664480100732707, + "loss": 1.1566, + "step": 7690 + }, + { + "epoch": 0.675035862103014, + "grad_norm": 0.0693359375, + "learning_rate": 0.000966082313756888, + "loss": 1.1705, + "step": 7691 + }, + { + "epoch": 0.6751236316859165, + "grad_norm": 0.06640625, + "learning_rate": 0.000965716684940474, + "loss": 1.1592, + "step": 7692 + }, + { + "epoch": 0.6752114012688191, + "grad_norm": 0.06982421875, + "learning_rate": 0.0009653511236601156, + "loss": 1.1951, + "step": 7693 + }, + { + "epoch": 0.6752991708517215, + "grad_norm": 0.05029296875, + "learning_rate": 0.0009649856299518925, + "loss": 1.1524, + "step": 7694 + }, + { + "epoch": 0.675386940434624, + "grad_norm": 0.064453125, + "learning_rate": 0.0009646202038518777, + "loss": 1.2181, + "step": 7695 + }, + { + "epoch": 0.6754747100175265, + "grad_norm": 0.047119140625, + "learning_rate": 0.0009642548453961363, + "loss": 1.1886, + "step": 7696 + }, + { + "epoch": 0.6755624796004289, + "grad_norm": 0.07275390625, + "learning_rate": 0.0009638895546207283, + "loss": 1.1406, + "step": 7697 + }, + { + "epoch": 0.6756502491833315, + "grad_norm": 0.08740234375, + "learning_rate": 0.0009635243315617063, + "loss": 1.1723, + "step": 7698 + }, + { + "epoch": 0.675738018766234, + "grad_norm": 0.05615234375, + "learning_rate": 0.0009631591762551168, + "loss": 1.2226, + "step": 7699 + }, + { + "epoch": 0.6758257883491364, + "grad_norm": 0.06201171875, + "learning_rate": 0.0009627940887369988, + "loss": 1.1631, + "step": 7700 + }, + { + "epoch": 0.6759135579320389, + "grad_norm": 0.0654296875, + "learning_rate": 0.000962429069043385, + "loss": 1.193, + "step": 7701 + }, + { + "epoch": 0.6760013275149414, + "grad_norm": 0.07763671875, + "learning_rate": 0.0009620641172103018, + "loss": 1.162, + "step": 7702 + }, + { + "epoch": 0.6760890970978439, + "grad_norm": 0.052490234375, + "learning_rate": 0.0009616992332737685, + "loss": 1.2011, + "step": 7703 + }, + { + "epoch": 0.6761768666807464, + "grad_norm": 0.04833984375, + "learning_rate": 0.0009613344172697968, + "loss": 1.1268, + "step": 7704 + }, + { + "epoch": 0.6762646362636489, + "grad_norm": 0.0673828125, + "learning_rate": 0.0009609696692343934, + "loss": 1.1433, + "step": 7705 + }, + { + "epoch": 0.6763524058465513, + "grad_norm": 0.05224609375, + "learning_rate": 0.0009606049892035571, + "loss": 1.1454, + "step": 7706 + }, + { + "epoch": 0.6764401754294538, + "grad_norm": 0.05078125, + "learning_rate": 0.0009602403772132812, + "loss": 1.1823, + "step": 7707 + }, + { + "epoch": 0.6765279450123564, + "grad_norm": 0.05712890625, + "learning_rate": 0.0009598758332995505, + "loss": 1.142, + "step": 7708 + }, + { + "epoch": 0.6766157145952588, + "grad_norm": 0.07470703125, + "learning_rate": 0.0009595113574983433, + "loss": 1.1685, + "step": 7709 + }, + { + "epoch": 0.6767034841781613, + "grad_norm": 0.0556640625, + "learning_rate": 0.0009591469498456342, + "loss": 1.2022, + "step": 7710 + }, + { + "epoch": 0.6767912537610637, + "grad_norm": 0.060546875, + "learning_rate": 0.0009587826103773877, + "loss": 1.1981, + "step": 7711 + }, + { + "epoch": 0.6768790233439662, + "grad_norm": 0.0751953125, + "learning_rate": 0.000958418339129562, + "loss": 1.1564, + "step": 7712 + }, + { + "epoch": 0.6769667929268688, + "grad_norm": 0.05517578125, + "learning_rate": 0.0009580541361381101, + "loss": 1.1694, + "step": 7713 + }, + { + "epoch": 0.6770545625097713, + "grad_norm": 0.046142578125, + "learning_rate": 0.0009576900014389766, + "loss": 1.1816, + "step": 7714 + }, + { + "epoch": 0.6771423320926737, + "grad_norm": 0.05517578125, + "learning_rate": 0.0009573259350681015, + "loss": 1.1547, + "step": 7715 + }, + { + "epoch": 0.6772301016755762, + "grad_norm": 0.06298828125, + "learning_rate": 0.0009569619370614152, + "loss": 1.2021, + "step": 7716 + }, + { + "epoch": 0.6773178712584786, + "grad_norm": 0.0576171875, + "learning_rate": 0.0009565980074548434, + "loss": 1.1702, + "step": 7717 + }, + { + "epoch": 0.6774056408413812, + "grad_norm": 0.048583984375, + "learning_rate": 0.0009562341462843047, + "loss": 1.165, + "step": 7718 + }, + { + "epoch": 0.6774934104242837, + "grad_norm": 0.06494140625, + "learning_rate": 0.0009558703535857109, + "loss": 1.1516, + "step": 7719 + }, + { + "epoch": 0.6775811800071861, + "grad_norm": 0.08642578125, + "learning_rate": 0.0009555066293949663, + "loss": 1.1533, + "step": 7720 + }, + { + "epoch": 0.6776689495900886, + "grad_norm": 0.0712890625, + "learning_rate": 0.0009551429737479696, + "loss": 1.1167, + "step": 7721 + }, + { + "epoch": 0.6777567191729911, + "grad_norm": 0.06298828125, + "learning_rate": 0.0009547793866806117, + "loss": 1.1483, + "step": 7722 + }, + { + "epoch": 0.6778444887558935, + "grad_norm": 0.0927734375, + "learning_rate": 0.0009544158682287785, + "loss": 1.099, + "step": 7723 + }, + { + "epoch": 0.6779322583387961, + "grad_norm": 0.0556640625, + "learning_rate": 0.0009540524184283457, + "loss": 1.1579, + "step": 7724 + }, + { + "epoch": 0.6780200279216986, + "grad_norm": 0.0791015625, + "learning_rate": 0.000953689037315186, + "loss": 1.1459, + "step": 7725 + }, + { + "epoch": 0.678107797504601, + "grad_norm": 0.08349609375, + "learning_rate": 0.000953325724925163, + "loss": 1.1634, + "step": 7726 + }, + { + "epoch": 0.6781955670875035, + "grad_norm": 0.072265625, + "learning_rate": 0.0009529624812941349, + "loss": 1.1859, + "step": 7727 + }, + { + "epoch": 0.678283336670406, + "grad_norm": 0.06494140625, + "learning_rate": 0.0009525993064579512, + "loss": 1.1511, + "step": 7728 + }, + { + "epoch": 0.6783711062533085, + "grad_norm": 0.06298828125, + "learning_rate": 0.000952236200452456, + "loss": 1.1826, + "step": 7729 + }, + { + "epoch": 0.678458875836211, + "grad_norm": 0.057861328125, + "learning_rate": 0.0009518731633134881, + "loss": 1.21, + "step": 7730 + }, + { + "epoch": 0.6785466454191135, + "grad_norm": 0.051025390625, + "learning_rate": 0.0009515101950768759, + "loss": 1.1254, + "step": 7731 + }, + { + "epoch": 0.6786344150020159, + "grad_norm": 0.0595703125, + "learning_rate": 0.0009511472957784438, + "loss": 1.1918, + "step": 7732 + }, + { + "epoch": 0.6787221845849184, + "grad_norm": 0.0576171875, + "learning_rate": 0.0009507844654540083, + "loss": 1.191, + "step": 7733 + }, + { + "epoch": 0.678809954167821, + "grad_norm": 0.0556640625, + "learning_rate": 0.00095042170413938, + "loss": 1.1622, + "step": 7734 + }, + { + "epoch": 0.6788977237507234, + "grad_norm": 0.051513671875, + "learning_rate": 0.0009500590118703608, + "loss": 1.118, + "step": 7735 + }, + { + "epoch": 0.6789854933336259, + "grad_norm": 0.058837890625, + "learning_rate": 0.0009496963886827476, + "loss": 1.22, + "step": 7736 + }, + { + "epoch": 0.6790732629165284, + "grad_norm": 0.0556640625, + "learning_rate": 0.0009493338346123299, + "loss": 1.1956, + "step": 7737 + }, + { + "epoch": 0.6791610324994308, + "grad_norm": 0.08251953125, + "learning_rate": 0.0009489713496948904, + "loss": 1.1584, + "step": 7738 + }, + { + "epoch": 0.6792488020823334, + "grad_norm": 0.062255859375, + "learning_rate": 0.0009486089339662048, + "loss": 1.1471, + "step": 7739 + }, + { + "epoch": 0.6793365716652359, + "grad_norm": 0.0498046875, + "learning_rate": 0.0009482465874620421, + "loss": 1.1977, + "step": 7740 + }, + { + "epoch": 0.6794243412481383, + "grad_norm": 0.048095703125, + "learning_rate": 0.0009478843102181646, + "loss": 1.2106, + "step": 7741 + }, + { + "epoch": 0.6795121108310408, + "grad_norm": 0.05419921875, + "learning_rate": 0.0009475221022703281, + "loss": 1.1361, + "step": 7742 + }, + { + "epoch": 0.6795998804139433, + "grad_norm": 0.05859375, + "learning_rate": 0.0009471599636542799, + "loss": 1.1064, + "step": 7743 + }, + { + "epoch": 0.6796876499968458, + "grad_norm": 0.0615234375, + "learning_rate": 0.0009467978944057623, + "loss": 1.1828, + "step": 7744 + }, + { + "epoch": 0.6797754195797483, + "grad_norm": 0.047119140625, + "learning_rate": 0.0009464358945605101, + "loss": 1.0835, + "step": 7745 + }, + { + "epoch": 0.6798631891626508, + "grad_norm": 0.0498046875, + "learning_rate": 0.0009460739641542517, + "loss": 1.1395, + "step": 7746 + }, + { + "epoch": 0.6799509587455532, + "grad_norm": 0.06103515625, + "learning_rate": 0.0009457121032227075, + "loss": 1.1495, + "step": 7747 + }, + { + "epoch": 0.6800387283284557, + "grad_norm": 0.0771484375, + "learning_rate": 0.0009453503118015917, + "loss": 1.1995, + "step": 7748 + }, + { + "epoch": 0.6801264979113582, + "grad_norm": 0.048828125, + "learning_rate": 0.0009449885899266117, + "loss": 1.1618, + "step": 7749 + }, + { + "epoch": 0.6802142674942607, + "grad_norm": 0.0732421875, + "learning_rate": 0.0009446269376334691, + "loss": 1.1612, + "step": 7750 + }, + { + "epoch": 0.6803020370771632, + "grad_norm": 0.0673828125, + "learning_rate": 0.0009442653549578565, + "loss": 1.2035, + "step": 7751 + }, + { + "epoch": 0.6803898066600657, + "grad_norm": 0.04541015625, + "learning_rate": 0.0009439038419354605, + "loss": 1.1417, + "step": 7752 + }, + { + "epoch": 0.6804775762429681, + "grad_norm": 0.047607421875, + "learning_rate": 0.0009435423986019617, + "loss": 1.1134, + "step": 7753 + }, + { + "epoch": 0.6805653458258706, + "grad_norm": 0.048583984375, + "learning_rate": 0.0009431810249930333, + "loss": 1.1726, + "step": 7754 + }, + { + "epoch": 0.6806531154087732, + "grad_norm": 0.0546875, + "learning_rate": 0.0009428197211443405, + "loss": 1.1233, + "step": 7755 + }, + { + "epoch": 0.6807408849916756, + "grad_norm": 0.056396484375, + "learning_rate": 0.0009424584870915431, + "loss": 1.0944, + "step": 7756 + }, + { + "epoch": 0.6808286545745781, + "grad_norm": 0.05078125, + "learning_rate": 0.0009420973228702932, + "loss": 1.1806, + "step": 7757 + }, + { + "epoch": 0.6809164241574805, + "grad_norm": 0.06005859375, + "learning_rate": 0.0009417362285162372, + "loss": 1.1325, + "step": 7758 + }, + { + "epoch": 0.681004193740383, + "grad_norm": 0.052978515625, + "learning_rate": 0.0009413752040650124, + "loss": 1.1478, + "step": 7759 + }, + { + "epoch": 0.6810919633232856, + "grad_norm": 0.0771484375, + "learning_rate": 0.0009410142495522508, + "loss": 1.2035, + "step": 7760 + }, + { + "epoch": 0.681179732906188, + "grad_norm": 0.046142578125, + "learning_rate": 0.0009406533650135775, + "loss": 1.1652, + "step": 7761 + }, + { + "epoch": 0.6812675024890905, + "grad_norm": 0.07275390625, + "learning_rate": 0.0009402925504846111, + "loss": 1.1365, + "step": 7762 + }, + { + "epoch": 0.681355272071993, + "grad_norm": 0.058837890625, + "learning_rate": 0.0009399318060009614, + "loss": 1.1572, + "step": 7763 + }, + { + "epoch": 0.6814430416548954, + "grad_norm": 0.049560546875, + "learning_rate": 0.0009395711315982327, + "loss": 1.2206, + "step": 7764 + }, + { + "epoch": 0.681530811237798, + "grad_norm": 0.05126953125, + "learning_rate": 0.0009392105273120223, + "loss": 1.1487, + "step": 7765 + }, + { + "epoch": 0.6816185808207005, + "grad_norm": 0.0498046875, + "learning_rate": 0.0009388499931779209, + "loss": 1.1278, + "step": 7766 + }, + { + "epoch": 0.681706350403603, + "grad_norm": 0.05615234375, + "learning_rate": 0.000938489529231511, + "loss": 1.1254, + "step": 7767 + }, + { + "epoch": 0.6817941199865054, + "grad_norm": 0.0478515625, + "learning_rate": 0.0009381291355083689, + "loss": 1.1666, + "step": 7768 + }, + { + "epoch": 0.6818818895694079, + "grad_norm": 0.0947265625, + "learning_rate": 0.0009377688120440647, + "loss": 1.1531, + "step": 7769 + }, + { + "epoch": 0.6819696591523104, + "grad_norm": 0.049560546875, + "learning_rate": 0.0009374085588741604, + "loss": 1.1257, + "step": 7770 + }, + { + "epoch": 0.6820574287352129, + "grad_norm": 0.1005859375, + "learning_rate": 0.0009370483760342119, + "loss": 1.1738, + "step": 7771 + }, + { + "epoch": 0.6821451983181154, + "grad_norm": 0.10791015625, + "learning_rate": 0.0009366882635597676, + "loss": 1.1972, + "step": 7772 + }, + { + "epoch": 0.6822329679010178, + "grad_norm": 0.0537109375, + "learning_rate": 0.0009363282214863693, + "loss": 1.2191, + "step": 7773 + }, + { + "epoch": 0.6823207374839203, + "grad_norm": 0.06982421875, + "learning_rate": 0.0009359682498495521, + "loss": 1.149, + "step": 7774 + }, + { + "epoch": 0.6824085070668229, + "grad_norm": 0.07373046875, + "learning_rate": 0.000935608348684843, + "loss": 1.1587, + "step": 7775 + }, + { + "epoch": 0.6824962766497253, + "grad_norm": 0.0498046875, + "learning_rate": 0.000935248518027763, + "loss": 1.1649, + "step": 7776 + }, + { + "epoch": 0.6825840462326278, + "grad_norm": 0.057861328125, + "learning_rate": 0.0009348887579138264, + "loss": 1.1573, + "step": 7777 + }, + { + "epoch": 0.6826718158155303, + "grad_norm": 0.05224609375, + "learning_rate": 0.0009345290683785399, + "loss": 1.1891, + "step": 7778 + }, + { + "epoch": 0.6827595853984327, + "grad_norm": 0.06640625, + "learning_rate": 0.0009341694494574031, + "loss": 1.1742, + "step": 7779 + }, + { + "epoch": 0.6828473549813352, + "grad_norm": 0.05419921875, + "learning_rate": 0.0009338099011859087, + "loss": 1.1488, + "step": 7780 + }, + { + "epoch": 0.6829351245642378, + "grad_norm": 0.056396484375, + "learning_rate": 0.0009334504235995444, + "loss": 1.1522, + "step": 7781 + }, + { + "epoch": 0.6830228941471402, + "grad_norm": 0.091796875, + "learning_rate": 0.0009330910167337875, + "loss": 1.1659, + "step": 7782 + }, + { + "epoch": 0.6831106637300427, + "grad_norm": 0.083984375, + "learning_rate": 0.0009327316806241106, + "loss": 1.1656, + "step": 7783 + }, + { + "epoch": 0.6831984333129452, + "grad_norm": 0.04638671875, + "learning_rate": 0.0009323724153059786, + "loss": 1.1937, + "step": 7784 + }, + { + "epoch": 0.6832862028958476, + "grad_norm": 0.056640625, + "learning_rate": 0.0009320132208148503, + "loss": 1.0912, + "step": 7785 + }, + { + "epoch": 0.6833739724787502, + "grad_norm": 0.1279296875, + "learning_rate": 0.0009316540971861756, + "loss": 1.2041, + "step": 7786 + }, + { + "epoch": 0.6834617420616527, + "grad_norm": 0.11669921875, + "learning_rate": 0.0009312950444553992, + "loss": 1.2052, + "step": 7787 + }, + { + "epoch": 0.6835495116445551, + "grad_norm": 0.054443359375, + "learning_rate": 0.0009309360626579583, + "loss": 1.1474, + "step": 7788 + }, + { + "epoch": 0.6836372812274576, + "grad_norm": 0.091796875, + "learning_rate": 0.0009305771518292824, + "loss": 1.1178, + "step": 7789 + }, + { + "epoch": 0.6837250508103601, + "grad_norm": 0.0908203125, + "learning_rate": 0.0009302183120047954, + "loss": 1.1986, + "step": 7790 + }, + { + "epoch": 0.6838128203932626, + "grad_norm": 0.0537109375, + "learning_rate": 0.0009298595432199128, + "loss": 1.1676, + "step": 7791 + }, + { + "epoch": 0.6839005899761651, + "grad_norm": 0.052001953125, + "learning_rate": 0.0009295008455100439, + "loss": 1.1287, + "step": 7792 + }, + { + "epoch": 0.6839883595590676, + "grad_norm": 0.052001953125, + "learning_rate": 0.0009291422189105911, + "loss": 1.1446, + "step": 7793 + }, + { + "epoch": 0.68407612914197, + "grad_norm": 0.06201171875, + "learning_rate": 0.0009287836634569485, + "loss": 1.1741, + "step": 7794 + }, + { + "epoch": 0.6841638987248725, + "grad_norm": 0.0634765625, + "learning_rate": 0.0009284251791845048, + "loss": 1.1546, + "step": 7795 + }, + { + "epoch": 0.6842516683077751, + "grad_norm": 0.046630859375, + "learning_rate": 0.0009280667661286405, + "loss": 1.1526, + "step": 7796 + }, + { + "epoch": 0.6843394378906775, + "grad_norm": 0.06640625, + "learning_rate": 0.0009277084243247306, + "loss": 1.1517, + "step": 7797 + }, + { + "epoch": 0.68442720747358, + "grad_norm": 0.06103515625, + "learning_rate": 0.0009273501538081407, + "loss": 1.0987, + "step": 7798 + }, + { + "epoch": 0.6845149770564825, + "grad_norm": 0.049560546875, + "learning_rate": 0.000926991954614231, + "loss": 1.209, + "step": 7799 + }, + { + "epoch": 0.6846027466393849, + "grad_norm": 0.0498046875, + "learning_rate": 0.0009266338267783543, + "loss": 1.1941, + "step": 7800 + }, + { + "epoch": 0.6846905162222875, + "grad_norm": 0.052490234375, + "learning_rate": 0.0009262757703358576, + "loss": 1.1794, + "step": 7801 + }, + { + "epoch": 0.68477828580519, + "grad_norm": 0.046630859375, + "learning_rate": 0.0009259177853220784, + "loss": 1.1494, + "step": 7802 + }, + { + "epoch": 0.6848660553880924, + "grad_norm": 0.046142578125, + "learning_rate": 0.0009255598717723486, + "loss": 1.1274, + "step": 7803 + }, + { + "epoch": 0.6849538249709949, + "grad_norm": 0.054443359375, + "learning_rate": 0.0009252020297219928, + "loss": 1.1584, + "step": 7804 + }, + { + "epoch": 0.6850415945538973, + "grad_norm": 0.0634765625, + "learning_rate": 0.0009248442592063297, + "loss": 1.2084, + "step": 7805 + }, + { + "epoch": 0.6851293641367998, + "grad_norm": 0.046630859375, + "learning_rate": 0.000924486560260668, + "loss": 1.151, + "step": 7806 + }, + { + "epoch": 0.6852171337197024, + "grad_norm": 0.050537109375, + "learning_rate": 0.0009241289329203124, + "loss": 1.139, + "step": 7807 + }, + { + "epoch": 0.6853049033026049, + "grad_norm": 0.05078125, + "learning_rate": 0.0009237713772205589, + "loss": 1.1686, + "step": 7808 + }, + { + "epoch": 0.6853926728855073, + "grad_norm": 0.048095703125, + "learning_rate": 0.0009234138931966975, + "loss": 1.1458, + "step": 7809 + }, + { + "epoch": 0.6854804424684098, + "grad_norm": 0.050537109375, + "learning_rate": 0.0009230564808840087, + "loss": 1.1502, + "step": 7810 + }, + { + "epoch": 0.6855682120513122, + "grad_norm": 0.052734375, + "learning_rate": 0.0009226991403177694, + "loss": 1.1437, + "step": 7811 + }, + { + "epoch": 0.6856559816342148, + "grad_norm": 0.05078125, + "learning_rate": 0.0009223418715332473, + "loss": 1.1714, + "step": 7812 + }, + { + "epoch": 0.6857437512171173, + "grad_norm": 0.05126953125, + "learning_rate": 0.0009219846745657038, + "loss": 1.1479, + "step": 7813 + }, + { + "epoch": 0.6858315208000197, + "grad_norm": 0.04638671875, + "learning_rate": 0.0009216275494503916, + "loss": 1.1003, + "step": 7814 + }, + { + "epoch": 0.6859192903829222, + "grad_norm": 0.062255859375, + "learning_rate": 0.0009212704962225583, + "loss": 1.2119, + "step": 7815 + }, + { + "epoch": 0.6860070599658247, + "grad_norm": 0.048583984375, + "learning_rate": 0.0009209135149174437, + "loss": 1.1742, + "step": 7816 + }, + { + "epoch": 0.6860948295487272, + "grad_norm": 0.04833984375, + "learning_rate": 0.000920556605570281, + "loss": 1.132, + "step": 7817 + }, + { + "epoch": 0.6861825991316297, + "grad_norm": 0.0517578125, + "learning_rate": 0.0009201997682162942, + "loss": 1.1431, + "step": 7818 + }, + { + "epoch": 0.6862703687145322, + "grad_norm": 0.051025390625, + "learning_rate": 0.0009198430028907028, + "loss": 1.1604, + "step": 7819 + }, + { + "epoch": 0.6863581382974346, + "grad_norm": 0.053466796875, + "learning_rate": 0.0009194863096287177, + "loss": 1.1313, + "step": 7820 + }, + { + "epoch": 0.6864459078803371, + "grad_norm": 0.0478515625, + "learning_rate": 0.0009191296884655437, + "loss": 1.1142, + "step": 7821 + }, + { + "epoch": 0.6865336774632397, + "grad_norm": 0.05517578125, + "learning_rate": 0.0009187731394363774, + "loss": 1.1423, + "step": 7822 + }, + { + "epoch": 0.6866214470461421, + "grad_norm": 0.0751953125, + "learning_rate": 0.0009184166625764088, + "loss": 1.1423, + "step": 7823 + }, + { + "epoch": 0.6867092166290446, + "grad_norm": 0.050537109375, + "learning_rate": 0.0009180602579208209, + "loss": 1.1432, + "step": 7824 + }, + { + "epoch": 0.6867969862119471, + "grad_norm": 0.05224609375, + "learning_rate": 0.0009177039255047901, + "loss": 1.1728, + "step": 7825 + }, + { + "epoch": 0.6868847557948495, + "grad_norm": 0.06494140625, + "learning_rate": 0.0009173476653634835, + "loss": 1.1396, + "step": 7826 + }, + { + "epoch": 0.6869725253777521, + "grad_norm": 0.07373046875, + "learning_rate": 0.0009169914775320636, + "loss": 1.1726, + "step": 7827 + }, + { + "epoch": 0.6870602949606546, + "grad_norm": 0.05078125, + "learning_rate": 0.0009166353620456843, + "loss": 1.2212, + "step": 7828 + }, + { + "epoch": 0.687148064543557, + "grad_norm": 0.04638671875, + "learning_rate": 0.0009162793189394936, + "loss": 1.159, + "step": 7829 + }, + { + "epoch": 0.6872358341264595, + "grad_norm": 0.05908203125, + "learning_rate": 0.0009159233482486299, + "loss": 1.1691, + "step": 7830 + }, + { + "epoch": 0.687323603709362, + "grad_norm": 0.052490234375, + "learning_rate": 0.0009155674500082278, + "loss": 1.1411, + "step": 7831 + }, + { + "epoch": 0.6874113732922645, + "grad_norm": 0.050537109375, + "learning_rate": 0.0009152116242534129, + "loss": 1.2069, + "step": 7832 + }, + { + "epoch": 0.687499142875167, + "grad_norm": 0.04736328125, + "learning_rate": 0.0009148558710193026, + "loss": 1.1356, + "step": 7833 + }, + { + "epoch": 0.6875869124580695, + "grad_norm": 0.08251953125, + "learning_rate": 0.000914500190341009, + "loss": 1.2197, + "step": 7834 + }, + { + "epoch": 0.6876746820409719, + "grad_norm": 0.06884765625, + "learning_rate": 0.0009141445822536363, + "loss": 1.1316, + "step": 7835 + }, + { + "epoch": 0.6877624516238744, + "grad_norm": 0.047607421875, + "learning_rate": 0.0009137890467922824, + "loss": 1.1261, + "step": 7836 + }, + { + "epoch": 0.6878502212067769, + "grad_norm": 0.08935546875, + "learning_rate": 0.000913433583992036, + "loss": 1.1897, + "step": 7837 + }, + { + "epoch": 0.6879379907896794, + "grad_norm": 0.08984375, + "learning_rate": 0.0009130781938879804, + "loss": 1.1852, + "step": 7838 + }, + { + "epoch": 0.6880257603725819, + "grad_norm": 0.052734375, + "learning_rate": 0.0009127228765151913, + "loss": 1.192, + "step": 7839 + }, + { + "epoch": 0.6881135299554844, + "grad_norm": 0.08740234375, + "learning_rate": 0.0009123676319087368, + "loss": 1.127, + "step": 7840 + }, + { + "epoch": 0.6882012995383868, + "grad_norm": 0.06884765625, + "learning_rate": 0.0009120124601036785, + "loss": 1.12, + "step": 7841 + }, + { + "epoch": 0.6882890691212893, + "grad_norm": 0.053466796875, + "learning_rate": 0.0009116573611350704, + "loss": 1.22, + "step": 7842 + }, + { + "epoch": 0.6883768387041919, + "grad_norm": 0.05078125, + "learning_rate": 0.0009113023350379591, + "loss": 1.1146, + "step": 7843 + }, + { + "epoch": 0.6884646082870943, + "grad_norm": 0.06298828125, + "learning_rate": 0.000910947381847385, + "loss": 1.194, + "step": 7844 + }, + { + "epoch": 0.6885523778699968, + "grad_norm": 0.04638671875, + "learning_rate": 0.0009105925015983797, + "loss": 1.1791, + "step": 7845 + }, + { + "epoch": 0.6886401474528993, + "grad_norm": 0.05078125, + "learning_rate": 0.0009102376943259686, + "loss": 1.1493, + "step": 7846 + }, + { + "epoch": 0.6887279170358017, + "grad_norm": 0.055908203125, + "learning_rate": 0.0009098829600651703, + "loss": 1.1358, + "step": 7847 + }, + { + "epoch": 0.6888156866187043, + "grad_norm": 0.046630859375, + "learning_rate": 0.0009095282988509954, + "loss": 1.0898, + "step": 7848 + }, + { + "epoch": 0.6889034562016068, + "grad_norm": 0.0537109375, + "learning_rate": 0.0009091737107184473, + "loss": 1.1643, + "step": 7849 + }, + { + "epoch": 0.6889912257845092, + "grad_norm": 0.04833984375, + "learning_rate": 0.0009088191957025221, + "loss": 1.141, + "step": 7850 + }, + { + "epoch": 0.6890789953674117, + "grad_norm": 0.050537109375, + "learning_rate": 0.0009084647538382098, + "loss": 1.2213, + "step": 7851 + }, + { + "epoch": 0.6891667649503141, + "grad_norm": 0.0478515625, + "learning_rate": 0.000908110385160493, + "loss": 1.1476, + "step": 7852 + }, + { + "epoch": 0.6892545345332167, + "grad_norm": 0.049072265625, + "learning_rate": 0.0009077560897043451, + "loss": 1.1282, + "step": 7853 + }, + { + "epoch": 0.6893423041161192, + "grad_norm": 0.05322265625, + "learning_rate": 0.0009074018675047343, + "loss": 1.1878, + "step": 7854 + }, + { + "epoch": 0.6894300736990217, + "grad_norm": 0.048828125, + "learning_rate": 0.0009070477185966208, + "loss": 1.1365, + "step": 7855 + }, + { + "epoch": 0.6895178432819241, + "grad_norm": 0.049072265625, + "learning_rate": 0.0009066936430149584, + "loss": 1.1499, + "step": 7856 + }, + { + "epoch": 0.6896056128648266, + "grad_norm": 0.050537109375, + "learning_rate": 0.0009063396407946915, + "loss": 1.1404, + "step": 7857 + }, + { + "epoch": 0.6896933824477292, + "grad_norm": 0.054931640625, + "learning_rate": 0.0009059857119707598, + "loss": 1.1857, + "step": 7858 + }, + { + "epoch": 0.6897811520306316, + "grad_norm": 0.056396484375, + "learning_rate": 0.0009056318565780943, + "loss": 1.1286, + "step": 7859 + }, + { + "epoch": 0.6898689216135341, + "grad_norm": 0.056884765625, + "learning_rate": 0.0009052780746516193, + "loss": 1.1534, + "step": 7860 + }, + { + "epoch": 0.6899566911964365, + "grad_norm": 0.05712890625, + "learning_rate": 0.0009049243662262517, + "loss": 1.1646, + "step": 7861 + }, + { + "epoch": 0.690044460779339, + "grad_norm": 0.0517578125, + "learning_rate": 0.0009045707313369008, + "loss": 1.1905, + "step": 7862 + }, + { + "epoch": 0.6901322303622415, + "grad_norm": 0.05126953125, + "learning_rate": 0.0009042171700184694, + "loss": 1.0952, + "step": 7863 + }, + { + "epoch": 0.690219999945144, + "grad_norm": 0.049560546875, + "learning_rate": 0.0009038636823058527, + "loss": 1.2066, + "step": 7864 + }, + { + "epoch": 0.6903077695280465, + "grad_norm": 0.08447265625, + "learning_rate": 0.0009035102682339379, + "loss": 1.246, + "step": 7865 + }, + { + "epoch": 0.690395539110949, + "grad_norm": 0.048828125, + "learning_rate": 0.0009031569278376059, + "loss": 1.1462, + "step": 7866 + }, + { + "epoch": 0.6904833086938514, + "grad_norm": 0.054931640625, + "learning_rate": 0.0009028036611517299, + "loss": 1.1576, + "step": 7867 + }, + { + "epoch": 0.6905710782767539, + "grad_norm": 0.07861328125, + "learning_rate": 0.0009024504682111767, + "loss": 1.1296, + "step": 7868 + }, + { + "epoch": 0.6906588478596565, + "grad_norm": 0.07568359375, + "learning_rate": 0.0009020973490508038, + "loss": 1.18, + "step": 7869 + }, + { + "epoch": 0.6907466174425589, + "grad_norm": 0.04833984375, + "learning_rate": 0.0009017443037054629, + "loss": 1.1658, + "step": 7870 + }, + { + "epoch": 0.6908343870254614, + "grad_norm": 0.0810546875, + "learning_rate": 0.0009013913322099993, + "loss": 1.1464, + "step": 7871 + }, + { + "epoch": 0.6909221566083639, + "grad_norm": 0.054443359375, + "learning_rate": 0.0009010384345992486, + "loss": 1.1643, + "step": 7872 + }, + { + "epoch": 0.6910099261912663, + "grad_norm": 0.047119140625, + "learning_rate": 0.0009006856109080411, + "loss": 1.145, + "step": 7873 + }, + { + "epoch": 0.6910976957741689, + "grad_norm": 0.04638671875, + "learning_rate": 0.0009003328611711989, + "loss": 1.1348, + "step": 7874 + }, + { + "epoch": 0.6911854653570714, + "grad_norm": 0.04833984375, + "learning_rate": 0.0008999801854235374, + "loss": 1.164, + "step": 7875 + }, + { + "epoch": 0.6912732349399738, + "grad_norm": 0.058837890625, + "learning_rate": 0.0008996275836998635, + "loss": 1.1317, + "step": 7876 + }, + { + "epoch": 0.6913610045228763, + "grad_norm": 0.06494140625, + "learning_rate": 0.000899275056034978, + "loss": 1.1937, + "step": 7877 + }, + { + "epoch": 0.6914487741057788, + "grad_norm": 0.056640625, + "learning_rate": 0.0008989226024636739, + "loss": 1.1793, + "step": 7878 + }, + { + "epoch": 0.6915365436886813, + "grad_norm": 0.059814453125, + "learning_rate": 0.0008985702230207373, + "loss": 1.1312, + "step": 7879 + }, + { + "epoch": 0.6916243132715838, + "grad_norm": 0.0537109375, + "learning_rate": 0.0008982179177409468, + "loss": 1.1587, + "step": 7880 + }, + { + "epoch": 0.6917120828544863, + "grad_norm": 0.0712890625, + "learning_rate": 0.0008978656866590721, + "loss": 1.1438, + "step": 7881 + }, + { + "epoch": 0.6917998524373887, + "grad_norm": 0.06103515625, + "learning_rate": 0.0008975135298098785, + "loss": 1.1543, + "step": 7882 + }, + { + "epoch": 0.6918876220202912, + "grad_norm": 0.05126953125, + "learning_rate": 0.0008971614472281228, + "loss": 1.1608, + "step": 7883 + }, + { + "epoch": 0.6919753916031938, + "grad_norm": 0.052001953125, + "learning_rate": 0.0008968094389485529, + "loss": 1.184, + "step": 7884 + }, + { + "epoch": 0.6920631611860962, + "grad_norm": 0.04833984375, + "learning_rate": 0.0008964575050059109, + "loss": 1.1414, + "step": 7885 + }, + { + "epoch": 0.6921509307689987, + "grad_norm": 0.0810546875, + "learning_rate": 0.0008961056454349318, + "loss": 1.1749, + "step": 7886 + }, + { + "epoch": 0.6922387003519012, + "grad_norm": 0.05810546875, + "learning_rate": 0.000895753860270343, + "loss": 1.2071, + "step": 7887 + }, + { + "epoch": 0.6923264699348036, + "grad_norm": 0.056884765625, + "learning_rate": 0.0008954021495468632, + "loss": 1.1777, + "step": 7888 + }, + { + "epoch": 0.6924142395177061, + "grad_norm": 0.08251953125, + "learning_rate": 0.0008950505132992053, + "loss": 1.1578, + "step": 7889 + }, + { + "epoch": 0.6925020091006087, + "grad_norm": 0.091796875, + "learning_rate": 0.0008946989515620748, + "loss": 1.1667, + "step": 7890 + }, + { + "epoch": 0.6925897786835111, + "grad_norm": 0.048095703125, + "learning_rate": 0.000894347464370169, + "loss": 1.1379, + "step": 7891 + }, + { + "epoch": 0.6926775482664136, + "grad_norm": 0.09765625, + "learning_rate": 0.0008939960517581787, + "loss": 1.1023, + "step": 7892 + }, + { + "epoch": 0.692765317849316, + "grad_norm": 0.1220703125, + "learning_rate": 0.0008936447137607867, + "loss": 1.1582, + "step": 7893 + }, + { + "epoch": 0.6928530874322185, + "grad_norm": 0.09423828125, + "learning_rate": 0.0008932934504126686, + "loss": 1.1507, + "step": 7894 + }, + { + "epoch": 0.6929408570151211, + "grad_norm": 0.053955078125, + "learning_rate": 0.0008929422617484934, + "loss": 1.1835, + "step": 7895 + }, + { + "epoch": 0.6930286265980236, + "grad_norm": 0.11474609375, + "learning_rate": 0.0008925911478029209, + "loss": 1.1464, + "step": 7896 + }, + { + "epoch": 0.693116396180926, + "grad_norm": 0.126953125, + "learning_rate": 0.0008922401086106051, + "loss": 1.1411, + "step": 7897 + }, + { + "epoch": 0.6932041657638285, + "grad_norm": 0.07177734375, + "learning_rate": 0.0008918891442061923, + "loss": 1.1695, + "step": 7898 + }, + { + "epoch": 0.693291935346731, + "grad_norm": 0.0576171875, + "learning_rate": 0.000891538254624322, + "loss": 1.121, + "step": 7899 + }, + { + "epoch": 0.6933797049296335, + "grad_norm": 0.123046875, + "learning_rate": 0.000891187439899624, + "loss": 1.1367, + "step": 7900 + }, + { + "epoch": 0.693467474512536, + "grad_norm": 0.11328125, + "learning_rate": 0.0008908367000667231, + "loss": 1.1596, + "step": 7901 + }, + { + "epoch": 0.6935552440954385, + "grad_norm": 0.060546875, + "learning_rate": 0.0008904860351602363, + "loss": 1.1344, + "step": 7902 + }, + { + "epoch": 0.6936430136783409, + "grad_norm": 0.06201171875, + "learning_rate": 0.0008901354452147732, + "loss": 1.1349, + "step": 7903 + }, + { + "epoch": 0.6937307832612434, + "grad_norm": 0.1298828125, + "learning_rate": 0.0008897849302649344, + "loss": 1.1195, + "step": 7904 + }, + { + "epoch": 0.693818552844146, + "grad_norm": 0.119140625, + "learning_rate": 0.0008894344903453151, + "loss": 1.1102, + "step": 7905 + }, + { + "epoch": 0.6939063224270484, + "grad_norm": 0.050048828125, + "learning_rate": 0.000889084125490502, + "loss": 1.1432, + "step": 7906 + }, + { + "epoch": 0.6939940920099509, + "grad_norm": 0.09912109375, + "learning_rate": 0.0008887338357350757, + "loss": 1.1167, + "step": 7907 + }, + { + "epoch": 0.6940818615928533, + "grad_norm": 0.0888671875, + "learning_rate": 0.0008883836211136069, + "loss": 1.1585, + "step": 7908 + }, + { + "epoch": 0.6941696311757558, + "grad_norm": 0.0947265625, + "learning_rate": 0.0008880334816606614, + "loss": 1.2015, + "step": 7909 + }, + { + "epoch": 0.6942574007586584, + "grad_norm": 0.04638671875, + "learning_rate": 0.0008876834174107963, + "loss": 1.2039, + "step": 7910 + }, + { + "epoch": 0.6943451703415608, + "grad_norm": 0.07421875, + "learning_rate": 0.0008873334283985613, + "loss": 1.1902, + "step": 7911 + }, + { + "epoch": 0.6944329399244633, + "grad_norm": 0.1279296875, + "learning_rate": 0.0008869835146584993, + "loss": 1.2057, + "step": 7912 + }, + { + "epoch": 0.6945207095073658, + "grad_norm": 0.06298828125, + "learning_rate": 0.0008866336762251453, + "loss": 1.141, + "step": 7913 + }, + { + "epoch": 0.6946084790902682, + "grad_norm": 0.057861328125, + "learning_rate": 0.0008862839131330268, + "loss": 1.1679, + "step": 7914 + }, + { + "epoch": 0.6946962486731708, + "grad_norm": 0.0751953125, + "learning_rate": 0.0008859342254166649, + "loss": 1.137, + "step": 7915 + }, + { + "epoch": 0.6947840182560733, + "grad_norm": 0.05322265625, + "learning_rate": 0.0008855846131105711, + "loss": 1.1661, + "step": 7916 + }, + { + "epoch": 0.6948717878389757, + "grad_norm": 0.052978515625, + "learning_rate": 0.0008852350762492515, + "loss": 1.1702, + "step": 7917 + }, + { + "epoch": 0.6949595574218782, + "grad_norm": 0.0498046875, + "learning_rate": 0.0008848856148672039, + "loss": 1.1293, + "step": 7918 + }, + { + "epoch": 0.6950473270047807, + "grad_norm": 0.06103515625, + "learning_rate": 0.000884536228998919, + "loss": 1.1934, + "step": 7919 + }, + { + "epoch": 0.6951350965876831, + "grad_norm": 0.049072265625, + "learning_rate": 0.0008841869186788791, + "loss": 1.1548, + "step": 7920 + }, + { + "epoch": 0.6952228661705857, + "grad_norm": 0.053955078125, + "learning_rate": 0.0008838376839415597, + "loss": 1.1796, + "step": 7921 + }, + { + "epoch": 0.6953106357534882, + "grad_norm": 0.047119140625, + "learning_rate": 0.0008834885248214302, + "loss": 1.1513, + "step": 7922 + }, + { + "epoch": 0.6953984053363906, + "grad_norm": 0.052978515625, + "learning_rate": 0.00088313944135295, + "loss": 1.1515, + "step": 7923 + }, + { + "epoch": 0.6954861749192931, + "grad_norm": 0.060791015625, + "learning_rate": 0.0008827904335705726, + "loss": 1.1361, + "step": 7924 + }, + { + "epoch": 0.6955739445021956, + "grad_norm": 0.05322265625, + "learning_rate": 0.0008824415015087437, + "loss": 1.1863, + "step": 7925 + }, + { + "epoch": 0.6956617140850981, + "grad_norm": 0.052978515625, + "learning_rate": 0.0008820926452019019, + "loss": 1.1436, + "step": 7926 + }, + { + "epoch": 0.6957494836680006, + "grad_norm": 0.06689453125, + "learning_rate": 0.0008817438646844772, + "loss": 1.1111, + "step": 7927 + }, + { + "epoch": 0.6958372532509031, + "grad_norm": 0.07666015625, + "learning_rate": 0.0008813951599908934, + "loss": 1.2014, + "step": 7928 + }, + { + "epoch": 0.6959250228338055, + "grad_norm": 0.060302734375, + "learning_rate": 0.0008810465311555658, + "loss": 1.2127, + "step": 7929 + }, + { + "epoch": 0.696012792416708, + "grad_norm": 0.08349609375, + "learning_rate": 0.0008806979782129029, + "loss": 1.1955, + "step": 7930 + }, + { + "epoch": 0.6961005619996106, + "grad_norm": 0.0654296875, + "learning_rate": 0.0008803495011973059, + "loss": 1.2014, + "step": 7931 + }, + { + "epoch": 0.696188331582513, + "grad_norm": 0.0498046875, + "learning_rate": 0.0008800011001431676, + "loss": 1.1769, + "step": 7932 + }, + { + "epoch": 0.6962761011654155, + "grad_norm": 0.0478515625, + "learning_rate": 0.000879652775084874, + "loss": 1.0934, + "step": 7933 + }, + { + "epoch": 0.696363870748318, + "grad_norm": 0.0537109375, + "learning_rate": 0.0008793045260568038, + "loss": 1.1541, + "step": 7934 + }, + { + "epoch": 0.6964516403312204, + "grad_norm": 0.061279296875, + "learning_rate": 0.000878956353093327, + "loss": 1.2017, + "step": 7935 + }, + { + "epoch": 0.696539409914123, + "grad_norm": 0.047607421875, + "learning_rate": 0.0008786082562288073, + "loss": 1.1835, + "step": 7936 + }, + { + "epoch": 0.6966271794970255, + "grad_norm": 0.05029296875, + "learning_rate": 0.0008782602354976003, + "loss": 1.1298, + "step": 7937 + }, + { + "epoch": 0.6967149490799279, + "grad_norm": 0.0498046875, + "learning_rate": 0.0008779122909340551, + "loss": 1.1772, + "step": 7938 + }, + { + "epoch": 0.6968027186628304, + "grad_norm": 0.06494140625, + "learning_rate": 0.0008775644225725112, + "loss": 1.1627, + "step": 7939 + }, + { + "epoch": 0.6968904882457329, + "grad_norm": 0.05322265625, + "learning_rate": 0.0008772166304473027, + "loss": 1.2279, + "step": 7940 + }, + { + "epoch": 0.6969782578286354, + "grad_norm": 0.046142578125, + "learning_rate": 0.0008768689145927541, + "loss": 1.2426, + "step": 7941 + }, + { + "epoch": 0.6970660274115379, + "grad_norm": 0.047119140625, + "learning_rate": 0.0008765212750431859, + "loss": 1.1309, + "step": 7942 + }, + { + "epoch": 0.6971537969944404, + "grad_norm": 0.04736328125, + "learning_rate": 0.0008761737118329066, + "loss": 1.0997, + "step": 7943 + }, + { + "epoch": 0.6972415665773428, + "grad_norm": 0.05029296875, + "learning_rate": 0.0008758262249962201, + "loss": 1.1593, + "step": 7944 + }, + { + "epoch": 0.6973293361602453, + "grad_norm": 0.06005859375, + "learning_rate": 0.0008754788145674219, + "loss": 1.1673, + "step": 7945 + }, + { + "epoch": 0.6974171057431477, + "grad_norm": 0.05908203125, + "learning_rate": 0.0008751314805808008, + "loss": 1.2096, + "step": 7946 + }, + { + "epoch": 0.6975048753260503, + "grad_norm": 0.04931640625, + "learning_rate": 0.0008747842230706358, + "loss": 1.1555, + "step": 7947 + }, + { + "epoch": 0.6975926449089528, + "grad_norm": 0.051513671875, + "learning_rate": 0.0008744370420712006, + "loss": 1.1892, + "step": 7948 + }, + { + "epoch": 0.6976804144918552, + "grad_norm": 0.0634765625, + "learning_rate": 0.0008740899376167607, + "loss": 1.1588, + "step": 7949 + }, + { + "epoch": 0.6977681840747577, + "grad_norm": 0.0625, + "learning_rate": 0.0008737429097415743, + "loss": 1.1726, + "step": 7950 + }, + { + "epoch": 0.6978559536576602, + "grad_norm": 0.080078125, + "learning_rate": 0.0008733959584798905, + "loss": 1.168, + "step": 7951 + }, + { + "epoch": 0.6979437232405628, + "grad_norm": 0.051513671875, + "learning_rate": 0.000873049083865953, + "loss": 1.2057, + "step": 7952 + }, + { + "epoch": 0.6980314928234652, + "grad_norm": 0.046630859375, + "learning_rate": 0.0008727022859339966, + "loss": 1.0888, + "step": 7953 + }, + { + "epoch": 0.6981192624063677, + "grad_norm": 0.05029296875, + "learning_rate": 0.0008723555647182494, + "loss": 1.2037, + "step": 7954 + }, + { + "epoch": 0.6982070319892701, + "grad_norm": 0.05224609375, + "learning_rate": 0.0008720089202529307, + "loss": 1.1685, + "step": 7955 + }, + { + "epoch": 0.6982948015721726, + "grad_norm": 0.04736328125, + "learning_rate": 0.0008716623525722532, + "loss": 1.1794, + "step": 7956 + }, + { + "epoch": 0.6983825711550752, + "grad_norm": 0.0478515625, + "learning_rate": 0.0008713158617104218, + "loss": 1.1843, + "step": 7957 + }, + { + "epoch": 0.6984703407379776, + "grad_norm": 0.049560546875, + "learning_rate": 0.0008709694477016341, + "loss": 1.2038, + "step": 7958 + }, + { + "epoch": 0.6985581103208801, + "grad_norm": 0.060791015625, + "learning_rate": 0.000870623110580079, + "loss": 1.142, + "step": 7959 + }, + { + "epoch": 0.6986458799037826, + "grad_norm": 0.055419921875, + "learning_rate": 0.000870276850379939, + "loss": 1.1956, + "step": 7960 + }, + { + "epoch": 0.698733649486685, + "grad_norm": 0.09814453125, + "learning_rate": 0.0008699306671353886, + "loss": 1.2102, + "step": 7961 + }, + { + "epoch": 0.6988214190695876, + "grad_norm": 0.05419921875, + "learning_rate": 0.0008695845608805951, + "loss": 1.1742, + "step": 7962 + }, + { + "epoch": 0.6989091886524901, + "grad_norm": 0.050537109375, + "learning_rate": 0.0008692385316497171, + "loss": 1.1309, + "step": 7963 + }, + { + "epoch": 0.6989969582353925, + "grad_norm": 0.053955078125, + "learning_rate": 0.0008688925794769069, + "loss": 1.1515, + "step": 7964 + }, + { + "epoch": 0.699084727818295, + "grad_norm": 0.06982421875, + "learning_rate": 0.0008685467043963085, + "loss": 1.1973, + "step": 7965 + }, + { + "epoch": 0.6991724974011975, + "grad_norm": 0.07421875, + "learning_rate": 0.0008682009064420587, + "loss": 1.1156, + "step": 7966 + }, + { + "epoch": 0.6992602669841, + "grad_norm": 0.0498046875, + "learning_rate": 0.0008678551856482854, + "loss": 1.119, + "step": 7967 + }, + { + "epoch": 0.6993480365670025, + "grad_norm": 0.0537109375, + "learning_rate": 0.0008675095420491107, + "loss": 1.198, + "step": 7968 + }, + { + "epoch": 0.699435806149905, + "grad_norm": 0.0654296875, + "learning_rate": 0.000867163975678648, + "loss": 1.1736, + "step": 7969 + }, + { + "epoch": 0.6995235757328074, + "grad_norm": 0.051025390625, + "learning_rate": 0.0008668184865710039, + "loss": 1.1241, + "step": 7970 + }, + { + "epoch": 0.6996113453157099, + "grad_norm": 0.0517578125, + "learning_rate": 0.0008664730747602752, + "loss": 1.121, + "step": 7971 + }, + { + "epoch": 0.6996991148986125, + "grad_norm": 0.050537109375, + "learning_rate": 0.0008661277402805542, + "loss": 1.1474, + "step": 7972 + }, + { + "epoch": 0.6997868844815149, + "grad_norm": 0.05029296875, + "learning_rate": 0.0008657824831659242, + "loss": 1.1391, + "step": 7973 + }, + { + "epoch": 0.6998746540644174, + "grad_norm": 0.06396484375, + "learning_rate": 0.0008654373034504596, + "loss": 1.0934, + "step": 7974 + }, + { + "epoch": 0.6999624236473199, + "grad_norm": 0.046630859375, + "learning_rate": 0.0008650922011682288, + "loss": 1.1186, + "step": 7975 + }, + { + "epoch": 0.7000501932302223, + "grad_norm": 0.05126953125, + "learning_rate": 0.0008647471763532921, + "loss": 1.1194, + "step": 7976 + }, + { + "epoch": 0.7001379628131248, + "grad_norm": 0.0537109375, + "learning_rate": 0.0008644022290397023, + "loss": 1.1592, + "step": 7977 + }, + { + "epoch": 0.7002257323960274, + "grad_norm": 0.06005859375, + "learning_rate": 0.0008640573592615037, + "loss": 1.1302, + "step": 7978 + }, + { + "epoch": 0.7003135019789298, + "grad_norm": 0.04931640625, + "learning_rate": 0.000863712567052734, + "loss": 1.141, + "step": 7979 + }, + { + "epoch": 0.7004012715618323, + "grad_norm": 0.053955078125, + "learning_rate": 0.0008633678524474225, + "loss": 1.1636, + "step": 7980 + }, + { + "epoch": 0.7004890411447348, + "grad_norm": 0.052978515625, + "learning_rate": 0.0008630232154795916, + "loss": 1.1401, + "step": 7981 + }, + { + "epoch": 0.7005768107276372, + "grad_norm": 0.061767578125, + "learning_rate": 0.0008626786561832554, + "loss": 1.1493, + "step": 7982 + }, + { + "epoch": 0.7006645803105398, + "grad_norm": 0.06494140625, + "learning_rate": 0.0008623341745924205, + "loss": 1.2085, + "step": 7983 + }, + { + "epoch": 0.7007523498934423, + "grad_norm": 0.07421875, + "learning_rate": 0.0008619897707410859, + "loss": 1.2312, + "step": 7984 + }, + { + "epoch": 0.7008401194763447, + "grad_norm": 0.0517578125, + "learning_rate": 0.0008616454446632436, + "loss": 1.2128, + "step": 7985 + }, + { + "epoch": 0.7009278890592472, + "grad_norm": 0.058349609375, + "learning_rate": 0.0008613011963928759, + "loss": 1.1734, + "step": 7986 + }, + { + "epoch": 0.7010156586421497, + "grad_norm": 0.053955078125, + "learning_rate": 0.0008609570259639594, + "loss": 1.121, + "step": 7987 + }, + { + "epoch": 0.7011034282250522, + "grad_norm": 0.047119140625, + "learning_rate": 0.0008606129334104624, + "loss": 1.1304, + "step": 7988 + }, + { + "epoch": 0.7011911978079547, + "grad_norm": 0.052490234375, + "learning_rate": 0.0008602689187663459, + "loss": 1.1924, + "step": 7989 + }, + { + "epoch": 0.7012789673908572, + "grad_norm": 0.04736328125, + "learning_rate": 0.0008599249820655618, + "loss": 1.1726, + "step": 7990 + }, + { + "epoch": 0.7013667369737596, + "grad_norm": 0.06640625, + "learning_rate": 0.0008595811233420553, + "loss": 1.155, + "step": 7991 + }, + { + "epoch": 0.7014545065566621, + "grad_norm": 0.05029296875, + "learning_rate": 0.0008592373426297648, + "loss": 1.1438, + "step": 7992 + }, + { + "epoch": 0.7015422761395647, + "grad_norm": 0.059814453125, + "learning_rate": 0.0008588936399626204, + "loss": 1.1263, + "step": 7993 + }, + { + "epoch": 0.7016300457224671, + "grad_norm": 0.05517578125, + "learning_rate": 0.000858550015374543, + "loss": 1.1801, + "step": 7994 + }, + { + "epoch": 0.7017178153053696, + "grad_norm": 0.0576171875, + "learning_rate": 0.0008582064688994472, + "loss": 1.1011, + "step": 7995 + }, + { + "epoch": 0.701805584888272, + "grad_norm": 0.07666015625, + "learning_rate": 0.0008578630005712402, + "loss": 1.1515, + "step": 7996 + }, + { + "epoch": 0.7018933544711745, + "grad_norm": 0.046142578125, + "learning_rate": 0.000857519610423821, + "loss": 1.1174, + "step": 7997 + }, + { + "epoch": 0.7019811240540771, + "grad_norm": 0.061279296875, + "learning_rate": 0.0008571762984910803, + "loss": 1.1864, + "step": 7998 + }, + { + "epoch": 0.7020688936369796, + "grad_norm": 0.0654296875, + "learning_rate": 0.0008568330648069019, + "loss": 1.1275, + "step": 7999 + }, + { + "epoch": 0.702156663219882, + "grad_norm": 0.05859375, + "learning_rate": 0.0008564899094051616, + "loss": 1.1177, + "step": 8000 + }, + { + "epoch": 0.702156663219882, + "eval_loss": 1.1471246480941772, + "eval_runtime": 437.8001, + "eval_samples_per_second": 33.668, + "eval_steps_per_second": 8.417, + "step": 8000 + }, + { + "epoch": 0.7022444328027845, + "grad_norm": 0.06396484375, + "learning_rate": 0.0008561468323197276, + "loss": 1.1678, + "step": 8001 + }, + { + "epoch": 0.7023322023856869, + "grad_norm": 0.0859375, + "learning_rate": 0.0008558038335844595, + "loss": 1.153, + "step": 8002 + }, + { + "epoch": 0.7024199719685894, + "grad_norm": 0.056884765625, + "learning_rate": 0.0008554609132332109, + "loss": 1.1802, + "step": 8003 + }, + { + "epoch": 0.702507741551492, + "grad_norm": 0.049560546875, + "learning_rate": 0.0008551180712998264, + "loss": 1.1259, + "step": 8004 + }, + { + "epoch": 0.7025955111343944, + "grad_norm": 0.051025390625, + "learning_rate": 0.0008547753078181436, + "loss": 1.1597, + "step": 8005 + }, + { + "epoch": 0.7026832807172969, + "grad_norm": 0.051513671875, + "learning_rate": 0.0008544326228219906, + "loss": 1.1624, + "step": 8006 + }, + { + "epoch": 0.7027710503001994, + "grad_norm": 0.062255859375, + "learning_rate": 0.0008540900163451903, + "loss": 1.1409, + "step": 8007 + }, + { + "epoch": 0.7028588198831018, + "grad_norm": 0.05615234375, + "learning_rate": 0.0008537474884215557, + "loss": 1.1886, + "step": 8008 + }, + { + "epoch": 0.7029465894660044, + "grad_norm": 0.060546875, + "learning_rate": 0.0008534050390848943, + "loss": 1.1641, + "step": 8009 + }, + { + "epoch": 0.7030343590489069, + "grad_norm": 0.058349609375, + "learning_rate": 0.0008530626683690029, + "loss": 1.1501, + "step": 8010 + }, + { + "epoch": 0.7031221286318093, + "grad_norm": 0.052001953125, + "learning_rate": 0.0008527203763076725, + "loss": 1.1932, + "step": 8011 + }, + { + "epoch": 0.7032098982147118, + "grad_norm": 0.07080078125, + "learning_rate": 0.0008523781629346866, + "loss": 1.2357, + "step": 8012 + }, + { + "epoch": 0.7032976677976143, + "grad_norm": 0.07861328125, + "learning_rate": 0.0008520360282838198, + "loss": 1.1678, + "step": 8013 + }, + { + "epoch": 0.7033854373805168, + "grad_norm": 0.048583984375, + "learning_rate": 0.00085169397238884, + "loss": 1.1612, + "step": 8014 + }, + { + "epoch": 0.7034732069634193, + "grad_norm": 0.05419921875, + "learning_rate": 0.000851351995283506, + "loss": 1.2211, + "step": 8015 + }, + { + "epoch": 0.7035609765463218, + "grad_norm": 0.046142578125, + "learning_rate": 0.0008510100970015701, + "loss": 1.2001, + "step": 8016 + }, + { + "epoch": 0.7036487461292242, + "grad_norm": 0.0634765625, + "learning_rate": 0.0008506682775767766, + "loss": 1.1788, + "step": 8017 + }, + { + "epoch": 0.7037365157121267, + "grad_norm": 0.06884765625, + "learning_rate": 0.0008503265370428609, + "loss": 1.1875, + "step": 8018 + }, + { + "epoch": 0.7038242852950293, + "grad_norm": 0.047607421875, + "learning_rate": 0.000849984875433552, + "loss": 1.0967, + "step": 8019 + }, + { + "epoch": 0.7039120548779317, + "grad_norm": 0.045654296875, + "learning_rate": 0.0008496432927825701, + "loss": 1.0976, + "step": 8020 + }, + { + "epoch": 0.7039998244608342, + "grad_norm": 0.05712890625, + "learning_rate": 0.000849301789123629, + "loss": 1.1261, + "step": 8021 + }, + { + "epoch": 0.7040875940437367, + "grad_norm": 0.0537109375, + "learning_rate": 0.000848960364490432, + "loss": 1.1449, + "step": 8022 + }, + { + "epoch": 0.7041753636266391, + "grad_norm": 0.05517578125, + "learning_rate": 0.0008486190189166782, + "loss": 1.1959, + "step": 8023 + }, + { + "epoch": 0.7042631332095417, + "grad_norm": 0.047119140625, + "learning_rate": 0.0008482777524360566, + "loss": 1.1847, + "step": 8024 + }, + { + "epoch": 0.7043509027924442, + "grad_norm": 0.06689453125, + "learning_rate": 0.0008479365650822481, + "loss": 1.1565, + "step": 8025 + }, + { + "epoch": 0.7044386723753466, + "grad_norm": 0.0703125, + "learning_rate": 0.0008475954568889271, + "loss": 1.1588, + "step": 8026 + }, + { + "epoch": 0.7045264419582491, + "grad_norm": 0.04931640625, + "learning_rate": 0.0008472544278897595, + "loss": 1.1422, + "step": 8027 + }, + { + "epoch": 0.7046142115411516, + "grad_norm": 0.048583984375, + "learning_rate": 0.0008469134781184042, + "loss": 1.1482, + "step": 8028 + }, + { + "epoch": 0.704701981124054, + "grad_norm": 0.06494140625, + "learning_rate": 0.0008465726076085102, + "loss": 1.1184, + "step": 8029 + }, + { + "epoch": 0.7047897507069566, + "grad_norm": 0.056884765625, + "learning_rate": 0.0008462318163937211, + "loss": 1.1375, + "step": 8030 + }, + { + "epoch": 0.7048775202898591, + "grad_norm": 0.05322265625, + "learning_rate": 0.0008458911045076714, + "loss": 1.1433, + "step": 8031 + }, + { + "epoch": 0.7049652898727615, + "grad_norm": 0.051025390625, + "learning_rate": 0.0008455504719839877, + "loss": 1.1473, + "step": 8032 + }, + { + "epoch": 0.705053059455664, + "grad_norm": 0.0517578125, + "learning_rate": 0.0008452099188562895, + "loss": 1.1667, + "step": 8033 + }, + { + "epoch": 0.7051408290385665, + "grad_norm": 0.0517578125, + "learning_rate": 0.0008448694451581879, + "loss": 1.1975, + "step": 8034 + }, + { + "epoch": 0.705228598621469, + "grad_norm": 0.047607421875, + "learning_rate": 0.0008445290509232862, + "loss": 1.1357, + "step": 8035 + }, + { + "epoch": 0.7053163682043715, + "grad_norm": 0.054931640625, + "learning_rate": 0.0008441887361851809, + "loss": 1.1275, + "step": 8036 + }, + { + "epoch": 0.705404137787274, + "grad_norm": 0.048828125, + "learning_rate": 0.0008438485009774582, + "loss": 1.1822, + "step": 8037 + }, + { + "epoch": 0.7054919073701764, + "grad_norm": 0.050048828125, + "learning_rate": 0.0008435083453336988, + "loss": 1.1445, + "step": 8038 + }, + { + "epoch": 0.7055796769530789, + "grad_norm": 0.0458984375, + "learning_rate": 0.0008431682692874746, + "loss": 1.1483, + "step": 8039 + }, + { + "epoch": 0.7056674465359815, + "grad_norm": 0.050537109375, + "learning_rate": 0.00084282827287235, + "loss": 1.0875, + "step": 8040 + }, + { + "epoch": 0.7057552161188839, + "grad_norm": 0.052490234375, + "learning_rate": 0.0008424883561218808, + "loss": 1.2037, + "step": 8041 + }, + { + "epoch": 0.7058429857017864, + "grad_norm": 0.057373046875, + "learning_rate": 0.0008421485190696152, + "loss": 1.18, + "step": 8042 + }, + { + "epoch": 0.7059307552846888, + "grad_norm": 0.049560546875, + "learning_rate": 0.0008418087617490945, + "loss": 1.1512, + "step": 8043 + }, + { + "epoch": 0.7060185248675913, + "grad_norm": 0.050048828125, + "learning_rate": 0.0008414690841938518, + "loss": 1.1785, + "step": 8044 + }, + { + "epoch": 0.7061062944504939, + "grad_norm": 0.050537109375, + "learning_rate": 0.0008411294864374107, + "loss": 1.2018, + "step": 8045 + }, + { + "epoch": 0.7061940640333964, + "grad_norm": 0.04833984375, + "learning_rate": 0.0008407899685132891, + "loss": 1.1908, + "step": 8046 + }, + { + "epoch": 0.7062818336162988, + "grad_norm": 0.049560546875, + "learning_rate": 0.0008404505304549953, + "loss": 1.1615, + "step": 8047 + }, + { + "epoch": 0.7063696031992013, + "grad_norm": 0.054443359375, + "learning_rate": 0.0008401111722960315, + "loss": 1.2101, + "step": 8048 + }, + { + "epoch": 0.7064573727821037, + "grad_norm": 0.05126953125, + "learning_rate": 0.0008397718940698902, + "loss": 1.1683, + "step": 8049 + }, + { + "epoch": 0.7065451423650063, + "grad_norm": 0.06689453125, + "learning_rate": 0.0008394326958100569, + "loss": 1.1499, + "step": 8050 + }, + { + "epoch": 0.7066329119479088, + "grad_norm": 0.056884765625, + "learning_rate": 0.0008390935775500091, + "loss": 1.1874, + "step": 8051 + }, + { + "epoch": 0.7067206815308112, + "grad_norm": 0.0517578125, + "learning_rate": 0.0008387545393232167, + "loss": 1.1311, + "step": 8052 + }, + { + "epoch": 0.7068084511137137, + "grad_norm": 0.0791015625, + "learning_rate": 0.0008384155811631413, + "loss": 1.1082, + "step": 8053 + }, + { + "epoch": 0.7068962206966162, + "grad_norm": 0.0634765625, + "learning_rate": 0.0008380767031032369, + "loss": 1.1117, + "step": 8054 + }, + { + "epoch": 0.7069839902795187, + "grad_norm": 0.052490234375, + "learning_rate": 0.0008377379051769492, + "loss": 1.1786, + "step": 8055 + }, + { + "epoch": 0.7070717598624212, + "grad_norm": 0.0595703125, + "learning_rate": 0.0008373991874177169, + "loss": 1.0997, + "step": 8056 + }, + { + "epoch": 0.7071595294453237, + "grad_norm": 0.05712890625, + "learning_rate": 0.0008370605498589688, + "loss": 1.1927, + "step": 8057 + }, + { + "epoch": 0.7072472990282261, + "grad_norm": 0.0546875, + "learning_rate": 0.0008367219925341279, + "loss": 1.1912, + "step": 8058 + }, + { + "epoch": 0.7073350686111286, + "grad_norm": 0.057861328125, + "learning_rate": 0.0008363835154766086, + "loss": 1.1395, + "step": 8059 + }, + { + "epoch": 0.7074228381940311, + "grad_norm": 0.0615234375, + "learning_rate": 0.0008360451187198172, + "loss": 1.1543, + "step": 8060 + }, + { + "epoch": 0.7075106077769336, + "grad_norm": 0.051513671875, + "learning_rate": 0.0008357068022971514, + "loss": 1.1077, + "step": 8061 + }, + { + "epoch": 0.7075983773598361, + "grad_norm": 0.06591796875, + "learning_rate": 0.0008353685662420017, + "loss": 1.1065, + "step": 8062 + }, + { + "epoch": 0.7076861469427386, + "grad_norm": 0.05078125, + "learning_rate": 0.0008350304105877523, + "loss": 1.1348, + "step": 8063 + }, + { + "epoch": 0.707773916525641, + "grad_norm": 0.0458984375, + "learning_rate": 0.0008346923353677765, + "loss": 1.1112, + "step": 8064 + }, + { + "epoch": 0.7078616861085435, + "grad_norm": 0.053466796875, + "learning_rate": 0.0008343543406154406, + "loss": 1.1745, + "step": 8065 + }, + { + "epoch": 0.7079494556914461, + "grad_norm": 0.055908203125, + "learning_rate": 0.0008340164263641042, + "loss": 1.1502, + "step": 8066 + }, + { + "epoch": 0.7080372252743485, + "grad_norm": 0.05419921875, + "learning_rate": 0.0008336785926471177, + "loss": 1.0929, + "step": 8067 + }, + { + "epoch": 0.708124994857251, + "grad_norm": 0.06689453125, + "learning_rate": 0.000833340839497825, + "loss": 1.1477, + "step": 8068 + }, + { + "epoch": 0.7082127644401535, + "grad_norm": 0.0751953125, + "learning_rate": 0.0008330031669495591, + "loss": 1.1251, + "step": 8069 + }, + { + "epoch": 0.7083005340230559, + "grad_norm": 0.057861328125, + "learning_rate": 0.0008326655750356482, + "loss": 1.122, + "step": 8070 + }, + { + "epoch": 0.7083883036059585, + "grad_norm": 0.07080078125, + "learning_rate": 0.0008323280637894109, + "loss": 1.1204, + "step": 8071 + }, + { + "epoch": 0.708476073188861, + "grad_norm": 0.047607421875, + "learning_rate": 0.0008319906332441587, + "loss": 1.1384, + "step": 8072 + }, + { + "epoch": 0.7085638427717634, + "grad_norm": 0.058349609375, + "learning_rate": 0.0008316532834331938, + "loss": 1.1414, + "step": 8073 + }, + { + "epoch": 0.7086516123546659, + "grad_norm": 0.0576171875, + "learning_rate": 0.000831316014389812, + "loss": 1.1786, + "step": 8074 + }, + { + "epoch": 0.7087393819375684, + "grad_norm": 0.046630859375, + "learning_rate": 0.0008309788261473005, + "loss": 1.1688, + "step": 8075 + }, + { + "epoch": 0.7088271515204709, + "grad_norm": 0.047607421875, + "learning_rate": 0.0008306417187389383, + "loss": 1.1575, + "step": 8076 + }, + { + "epoch": 0.7089149211033734, + "grad_norm": 0.052001953125, + "learning_rate": 0.0008303046921979958, + "loss": 1.1474, + "step": 8077 + }, + { + "epoch": 0.7090026906862759, + "grad_norm": 0.051513671875, + "learning_rate": 0.0008299677465577369, + "loss": 1.1274, + "step": 8078 + }, + { + "epoch": 0.7090904602691783, + "grad_norm": 0.046142578125, + "learning_rate": 0.0008296308818514173, + "loss": 1.1735, + "step": 8079 + }, + { + "epoch": 0.7091782298520808, + "grad_norm": 0.04833984375, + "learning_rate": 0.0008292940981122831, + "loss": 1.1973, + "step": 8080 + }, + { + "epoch": 0.7092659994349834, + "grad_norm": 0.07177734375, + "learning_rate": 0.0008289573953735742, + "loss": 1.1888, + "step": 8081 + }, + { + "epoch": 0.7093537690178858, + "grad_norm": 0.051025390625, + "learning_rate": 0.000828620773668521, + "loss": 1.1099, + "step": 8082 + }, + { + "epoch": 0.7094415386007883, + "grad_norm": 0.050537109375, + "learning_rate": 0.0008282842330303484, + "loss": 1.1515, + "step": 8083 + }, + { + "epoch": 0.7095293081836908, + "grad_norm": 0.048583984375, + "learning_rate": 0.0008279477734922702, + "loss": 1.1285, + "step": 8084 + }, + { + "epoch": 0.7096170777665932, + "grad_norm": 0.052001953125, + "learning_rate": 0.0008276113950874941, + "loss": 1.1546, + "step": 8085 + }, + { + "epoch": 0.7097048473494957, + "grad_norm": 0.06298828125, + "learning_rate": 0.0008272750978492191, + "loss": 1.1336, + "step": 8086 + }, + { + "epoch": 0.7097926169323983, + "grad_norm": 0.048095703125, + "learning_rate": 0.0008269388818106372, + "loss": 1.1816, + "step": 8087 + }, + { + "epoch": 0.7098803865153007, + "grad_norm": 0.05908203125, + "learning_rate": 0.0008266027470049304, + "loss": 1.1219, + "step": 8088 + }, + { + "epoch": 0.7099681560982032, + "grad_norm": 0.053466796875, + "learning_rate": 0.0008262666934652745, + "loss": 1.1989, + "step": 8089 + }, + { + "epoch": 0.7100559256811056, + "grad_norm": 0.052490234375, + "learning_rate": 0.0008259307212248367, + "loss": 1.1362, + "step": 8090 + }, + { + "epoch": 0.7101436952640081, + "grad_norm": 0.05615234375, + "learning_rate": 0.0008255948303167765, + "loss": 1.1496, + "step": 8091 + }, + { + "epoch": 0.7102314648469107, + "grad_norm": 0.05517578125, + "learning_rate": 0.0008252590207742435, + "loss": 1.2594, + "step": 8092 + }, + { + "epoch": 0.7103192344298132, + "grad_norm": 0.056396484375, + "learning_rate": 0.0008249232926303822, + "loss": 1.0901, + "step": 8093 + }, + { + "epoch": 0.7104070040127156, + "grad_norm": 0.0537109375, + "learning_rate": 0.0008245876459183275, + "loss": 1.2021, + "step": 8094 + }, + { + "epoch": 0.7104947735956181, + "grad_norm": 0.051513671875, + "learning_rate": 0.0008242520806712065, + "loss": 1.2186, + "step": 8095 + }, + { + "epoch": 0.7105825431785205, + "grad_norm": 0.052734375, + "learning_rate": 0.0008239165969221373, + "loss": 1.1477, + "step": 8096 + }, + { + "epoch": 0.7106703127614231, + "grad_norm": 0.047607421875, + "learning_rate": 0.0008235811947042315, + "loss": 1.1506, + "step": 8097 + }, + { + "epoch": 0.7107580823443256, + "grad_norm": 0.053955078125, + "learning_rate": 0.0008232458740505917, + "loss": 1.1307, + "step": 8098 + }, + { + "epoch": 0.710845851927228, + "grad_norm": 0.047607421875, + "learning_rate": 0.0008229106349943131, + "loss": 1.1794, + "step": 8099 + }, + { + "epoch": 0.7109336215101305, + "grad_norm": 0.048583984375, + "learning_rate": 0.0008225754775684821, + "loss": 1.1802, + "step": 8100 + }, + { + "epoch": 0.711021391093033, + "grad_norm": 0.061767578125, + "learning_rate": 0.0008222404018061773, + "loss": 1.1269, + "step": 8101 + }, + { + "epoch": 0.7111091606759355, + "grad_norm": 0.06396484375, + "learning_rate": 0.0008219054077404695, + "loss": 1.1665, + "step": 8102 + }, + { + "epoch": 0.711196930258838, + "grad_norm": 0.045654296875, + "learning_rate": 0.0008215704954044215, + "loss": 1.1491, + "step": 8103 + }, + { + "epoch": 0.7112846998417405, + "grad_norm": 0.06591796875, + "learning_rate": 0.0008212356648310878, + "loss": 1.1515, + "step": 8104 + }, + { + "epoch": 0.7113724694246429, + "grad_norm": 0.04736328125, + "learning_rate": 0.0008209009160535145, + "loss": 1.1225, + "step": 8105 + }, + { + "epoch": 0.7114602390075454, + "grad_norm": 0.04833984375, + "learning_rate": 0.0008205662491047403, + "loss": 1.1575, + "step": 8106 + }, + { + "epoch": 0.711548008590448, + "grad_norm": 0.04541015625, + "learning_rate": 0.0008202316640177957, + "loss": 1.1575, + "step": 8107 + }, + { + "epoch": 0.7116357781733504, + "grad_norm": 0.057861328125, + "learning_rate": 0.0008198971608257024, + "loss": 1.1593, + "step": 8108 + }, + { + "epoch": 0.7117235477562529, + "grad_norm": 0.053466796875, + "learning_rate": 0.0008195627395614746, + "loss": 1.1837, + "step": 8109 + }, + { + "epoch": 0.7118113173391554, + "grad_norm": 0.047119140625, + "learning_rate": 0.0008192284002581185, + "loss": 1.1095, + "step": 8110 + }, + { + "epoch": 0.7118990869220578, + "grad_norm": 0.053955078125, + "learning_rate": 0.0008188941429486329, + "loss": 1.1565, + "step": 8111 + }, + { + "epoch": 0.7119868565049604, + "grad_norm": 0.06689453125, + "learning_rate": 0.0008185599676660053, + "loss": 1.1888, + "step": 8112 + }, + { + "epoch": 0.7120746260878629, + "grad_norm": 0.06591796875, + "learning_rate": 0.0008182258744432202, + "loss": 1.1901, + "step": 8113 + }, + { + "epoch": 0.7121623956707653, + "grad_norm": 0.0478515625, + "learning_rate": 0.0008178918633132502, + "loss": 1.15, + "step": 8114 + }, + { + "epoch": 0.7122501652536678, + "grad_norm": 0.06884765625, + "learning_rate": 0.0008175579343090604, + "loss": 1.1865, + "step": 8115 + }, + { + "epoch": 0.7123379348365703, + "grad_norm": 0.054443359375, + "learning_rate": 0.0008172240874636088, + "loss": 1.172, + "step": 8116 + }, + { + "epoch": 0.7124257044194727, + "grad_norm": 0.05810546875, + "learning_rate": 0.0008168903228098444, + "loss": 1.1987, + "step": 8117 + }, + { + "epoch": 0.7125134740023753, + "grad_norm": 0.048583984375, + "learning_rate": 0.0008165566403807089, + "loss": 1.1877, + "step": 8118 + }, + { + "epoch": 0.7126012435852778, + "grad_norm": 0.052978515625, + "learning_rate": 0.000816223040209136, + "loss": 1.1775, + "step": 8119 + }, + { + "epoch": 0.7126890131681802, + "grad_norm": 0.05078125, + "learning_rate": 0.0008158895223280488, + "loss": 1.1176, + "step": 8120 + }, + { + "epoch": 0.7127767827510827, + "grad_norm": 0.0498046875, + "learning_rate": 0.0008155560867703657, + "loss": 1.2036, + "step": 8121 + }, + { + "epoch": 0.7128645523339852, + "grad_norm": 0.0458984375, + "learning_rate": 0.0008152227335689951, + "loss": 1.0962, + "step": 8122 + }, + { + "epoch": 0.7129523219168877, + "grad_norm": 0.05078125, + "learning_rate": 0.0008148894627568375, + "loss": 1.1895, + "step": 8123 + }, + { + "epoch": 0.7130400914997902, + "grad_norm": 0.0478515625, + "learning_rate": 0.0008145562743667857, + "loss": 1.1046, + "step": 8124 + }, + { + "epoch": 0.7131278610826927, + "grad_norm": 0.05078125, + "learning_rate": 0.0008142231684317241, + "loss": 1.1973, + "step": 8125 + }, + { + "epoch": 0.7132156306655951, + "grad_norm": 0.04931640625, + "learning_rate": 0.000813890144984529, + "loss": 1.1623, + "step": 8126 + }, + { + "epoch": 0.7133034002484976, + "grad_norm": 0.08203125, + "learning_rate": 0.0008135572040580678, + "loss": 1.2352, + "step": 8127 + }, + { + "epoch": 0.7133911698314002, + "grad_norm": 0.049072265625, + "learning_rate": 0.0008132243456852008, + "loss": 1.1858, + "step": 8128 + }, + { + "epoch": 0.7134789394143026, + "grad_norm": 0.05712890625, + "learning_rate": 0.0008128915698987803, + "loss": 1.1735, + "step": 8129 + }, + { + "epoch": 0.7135667089972051, + "grad_norm": 0.051025390625, + "learning_rate": 0.0008125588767316499, + "loss": 1.1336, + "step": 8130 + }, + { + "epoch": 0.7136544785801076, + "grad_norm": 0.07470703125, + "learning_rate": 0.0008122262662166442, + "loss": 1.1738, + "step": 8131 + }, + { + "epoch": 0.71374224816301, + "grad_norm": 0.07275390625, + "learning_rate": 0.0008118937383865913, + "loss": 1.1372, + "step": 8132 + }, + { + "epoch": 0.7138300177459126, + "grad_norm": 0.061767578125, + "learning_rate": 0.0008115612932743096, + "loss": 1.144, + "step": 8133 + }, + { + "epoch": 0.7139177873288151, + "grad_norm": 0.049072265625, + "learning_rate": 0.0008112289309126115, + "loss": 1.1825, + "step": 8134 + }, + { + "epoch": 0.7140055569117175, + "grad_norm": 0.10498046875, + "learning_rate": 0.0008108966513342989, + "loss": 1.1263, + "step": 8135 + }, + { + "epoch": 0.71409332649462, + "grad_norm": 0.06884765625, + "learning_rate": 0.0008105644545721665, + "loss": 1.1545, + "step": 8136 + }, + { + "epoch": 0.7141810960775224, + "grad_norm": 0.04931640625, + "learning_rate": 0.0008102323406590008, + "loss": 1.2117, + "step": 8137 + }, + { + "epoch": 0.714268865660425, + "grad_norm": 0.0634765625, + "learning_rate": 0.000809900309627581, + "loss": 1.1631, + "step": 8138 + }, + { + "epoch": 0.7143566352433275, + "grad_norm": 0.06787109375, + "learning_rate": 0.000809568361510676, + "loss": 1.1727, + "step": 8139 + }, + { + "epoch": 0.71444440482623, + "grad_norm": 0.048095703125, + "learning_rate": 0.0008092364963410484, + "loss": 1.1887, + "step": 8140 + }, + { + "epoch": 0.7145321744091324, + "grad_norm": 0.049072265625, + "learning_rate": 0.0008089047141514517, + "loss": 1.1596, + "step": 8141 + }, + { + "epoch": 0.7146199439920349, + "grad_norm": 0.052734375, + "learning_rate": 0.0008085730149746324, + "loss": 1.1526, + "step": 8142 + }, + { + "epoch": 0.7147077135749373, + "grad_norm": 0.068359375, + "learning_rate": 0.0008082413988433257, + "loss": 1.1069, + "step": 8143 + }, + { + "epoch": 0.7147954831578399, + "grad_norm": 0.052490234375, + "learning_rate": 0.000807909865790263, + "loss": 1.1478, + "step": 8144 + }, + { + "epoch": 0.7148832527407424, + "grad_norm": 0.04736328125, + "learning_rate": 0.0008075784158481648, + "loss": 1.1218, + "step": 8145 + }, + { + "epoch": 0.7149710223236448, + "grad_norm": 0.056640625, + "learning_rate": 0.0008072470490497438, + "loss": 1.1542, + "step": 8146 + }, + { + "epoch": 0.7150587919065473, + "grad_norm": 0.048828125, + "learning_rate": 0.0008069157654277044, + "loss": 1.1688, + "step": 8147 + }, + { + "epoch": 0.7151465614894498, + "grad_norm": 0.06494140625, + "learning_rate": 0.0008065845650147425, + "loss": 1.1451, + "step": 8148 + }, + { + "epoch": 0.7152343310723523, + "grad_norm": 0.04931640625, + "learning_rate": 0.0008062534478435471, + "loss": 1.1853, + "step": 8149 + }, + { + "epoch": 0.7153221006552548, + "grad_norm": 0.04931640625, + "learning_rate": 0.0008059224139467984, + "loss": 1.1953, + "step": 8150 + }, + { + "epoch": 0.7154098702381573, + "grad_norm": 0.04931640625, + "learning_rate": 0.0008055914633571669, + "loss": 1.1066, + "step": 8151 + }, + { + "epoch": 0.7154976398210597, + "grad_norm": 0.05322265625, + "learning_rate": 0.0008052605961073172, + "loss": 1.1849, + "step": 8152 + }, + { + "epoch": 0.7155854094039622, + "grad_norm": 0.055419921875, + "learning_rate": 0.000804929812229904, + "loss": 1.1605, + "step": 8153 + }, + { + "epoch": 0.7156731789868648, + "grad_norm": 0.048095703125, + "learning_rate": 0.0008045991117575744, + "loss": 1.1168, + "step": 8154 + }, + { + "epoch": 0.7157609485697672, + "grad_norm": 0.0458984375, + "learning_rate": 0.0008042684947229675, + "loss": 1.0826, + "step": 8155 + }, + { + "epoch": 0.7158487181526697, + "grad_norm": 0.0498046875, + "learning_rate": 0.0008039379611587137, + "loss": 1.217, + "step": 8156 + }, + { + "epoch": 0.7159364877355722, + "grad_norm": 0.051025390625, + "learning_rate": 0.0008036075110974354, + "loss": 1.1792, + "step": 8157 + }, + { + "epoch": 0.7160242573184746, + "grad_norm": 0.054443359375, + "learning_rate": 0.0008032771445717475, + "loss": 1.146, + "step": 8158 + }, + { + "epoch": 0.7161120269013772, + "grad_norm": 0.0546875, + "learning_rate": 0.0008029468616142544, + "loss": 1.1615, + "step": 8159 + }, + { + "epoch": 0.7161997964842797, + "grad_norm": 0.072265625, + "learning_rate": 0.0008026166622575546, + "loss": 1.1208, + "step": 8160 + }, + { + "epoch": 0.7162875660671821, + "grad_norm": 0.049560546875, + "learning_rate": 0.0008022865465342372, + "loss": 1.1549, + "step": 8161 + }, + { + "epoch": 0.7163753356500846, + "grad_norm": 0.05810546875, + "learning_rate": 0.0008019565144768839, + "loss": 1.1125, + "step": 8162 + }, + { + "epoch": 0.7164631052329871, + "grad_norm": 0.08837890625, + "learning_rate": 0.0008016265661180661, + "loss": 1.1935, + "step": 8163 + }, + { + "epoch": 0.7165508748158896, + "grad_norm": 0.048095703125, + "learning_rate": 0.0008012967014903499, + "loss": 1.1977, + "step": 8164 + }, + { + "epoch": 0.7166386443987921, + "grad_norm": 0.052001953125, + "learning_rate": 0.0008009669206262915, + "loss": 1.1273, + "step": 8165 + }, + { + "epoch": 0.7167264139816946, + "grad_norm": 0.0732421875, + "learning_rate": 0.0008006372235584383, + "loss": 1.1459, + "step": 8166 + }, + { + "epoch": 0.716814183564597, + "grad_norm": 0.07763671875, + "learning_rate": 0.0008003076103193302, + "loss": 1.1948, + "step": 8167 + }, + { + "epoch": 0.7169019531474995, + "grad_norm": 0.05029296875, + "learning_rate": 0.000799978080941499, + "loss": 1.1416, + "step": 8168 + }, + { + "epoch": 0.716989722730402, + "grad_norm": 0.05712890625, + "learning_rate": 0.0007996486354574679, + "loss": 1.1834, + "step": 8169 + }, + { + "epoch": 0.7170774923133045, + "grad_norm": 0.064453125, + "learning_rate": 0.0007993192738997521, + "loss": 1.154, + "step": 8170 + }, + { + "epoch": 0.717165261896207, + "grad_norm": 0.056884765625, + "learning_rate": 0.0007989899963008575, + "loss": 1.2251, + "step": 8171 + }, + { + "epoch": 0.7172530314791095, + "grad_norm": 0.051025390625, + "learning_rate": 0.0007986608026932832, + "loss": 1.1749, + "step": 8172 + }, + { + "epoch": 0.7173408010620119, + "grad_norm": 0.06689453125, + "learning_rate": 0.000798331693109519, + "loss": 1.1721, + "step": 8173 + }, + { + "epoch": 0.7174285706449144, + "grad_norm": 0.046875, + "learning_rate": 0.0007980026675820468, + "loss": 1.1117, + "step": 8174 + }, + { + "epoch": 0.717516340227817, + "grad_norm": 0.0478515625, + "learning_rate": 0.0007976737261433401, + "loss": 1.202, + "step": 8175 + }, + { + "epoch": 0.7176041098107194, + "grad_norm": 0.04833984375, + "learning_rate": 0.0007973448688258642, + "loss": 1.2084, + "step": 8176 + }, + { + "epoch": 0.7176918793936219, + "grad_norm": 0.04931640625, + "learning_rate": 0.0007970160956620764, + "loss": 1.1368, + "step": 8177 + }, + { + "epoch": 0.7177796489765244, + "grad_norm": 0.052490234375, + "learning_rate": 0.0007966874066844246, + "loss": 1.1516, + "step": 8178 + }, + { + "epoch": 0.7178674185594268, + "grad_norm": 0.047607421875, + "learning_rate": 0.000796358801925349, + "loss": 1.1201, + "step": 8179 + }, + { + "epoch": 0.7179551881423294, + "grad_norm": 0.08154296875, + "learning_rate": 0.0007960302814172819, + "loss": 1.1424, + "step": 8180 + }, + { + "epoch": 0.7180429577252319, + "grad_norm": 0.056640625, + "learning_rate": 0.000795701845192648, + "loss": 1.1603, + "step": 8181 + }, + { + "epoch": 0.7181307273081343, + "grad_norm": 0.049560546875, + "learning_rate": 0.000795373493283861, + "loss": 1.1256, + "step": 8182 + }, + { + "epoch": 0.7182184968910368, + "grad_norm": 0.061279296875, + "learning_rate": 0.000795045225723328, + "loss": 1.2039, + "step": 8183 + }, + { + "epoch": 0.7183062664739392, + "grad_norm": 0.06396484375, + "learning_rate": 0.0007947170425434489, + "loss": 1.1409, + "step": 8184 + }, + { + "epoch": 0.7183940360568418, + "grad_norm": 0.06640625, + "learning_rate": 0.000794388943776614, + "loss": 1.1557, + "step": 8185 + }, + { + "epoch": 0.7184818056397443, + "grad_norm": 0.04833984375, + "learning_rate": 0.0007940609294552045, + "loss": 1.1527, + "step": 8186 + }, + { + "epoch": 0.7185695752226468, + "grad_norm": 0.05029296875, + "learning_rate": 0.0007937329996115941, + "loss": 1.1221, + "step": 8187 + }, + { + "epoch": 0.7186573448055492, + "grad_norm": 0.06103515625, + "learning_rate": 0.0007934051542781492, + "loss": 1.2086, + "step": 8188 + }, + { + "epoch": 0.7187451143884517, + "grad_norm": 0.05517578125, + "learning_rate": 0.0007930773934872262, + "loss": 1.1355, + "step": 8189 + }, + { + "epoch": 0.7188328839713543, + "grad_norm": 0.060302734375, + "learning_rate": 0.0007927497172711735, + "loss": 1.1576, + "step": 8190 + }, + { + "epoch": 0.7189206535542567, + "grad_norm": 0.05419921875, + "learning_rate": 0.0007924221256623317, + "loss": 1.1539, + "step": 8191 + }, + { + "epoch": 0.7190084231371592, + "grad_norm": 0.052978515625, + "learning_rate": 0.0007920946186930327, + "loss": 1.1644, + "step": 8192 + }, + { + "epoch": 0.7190961927200616, + "grad_norm": 0.0498046875, + "learning_rate": 0.0007917671963956004, + "loss": 1.1196, + "step": 8193 + }, + { + "epoch": 0.7191839623029641, + "grad_norm": 0.0498046875, + "learning_rate": 0.00079143985880235, + "loss": 1.1343, + "step": 8194 + }, + { + "epoch": 0.7192717318858667, + "grad_norm": 0.04833984375, + "learning_rate": 0.0007911126059455882, + "loss": 1.1543, + "step": 8195 + }, + { + "epoch": 0.7193595014687691, + "grad_norm": 0.05126953125, + "learning_rate": 0.0007907854378576139, + "loss": 1.1318, + "step": 8196 + }, + { + "epoch": 0.7194472710516716, + "grad_norm": 0.049560546875, + "learning_rate": 0.0007904583545707176, + "loss": 1.1311, + "step": 8197 + }, + { + "epoch": 0.7195350406345741, + "grad_norm": 0.04833984375, + "learning_rate": 0.0007901313561171801, + "loss": 1.1459, + "step": 8198 + }, + { + "epoch": 0.7196228102174765, + "grad_norm": 0.08837890625, + "learning_rate": 0.0007898044425292756, + "loss": 1.1687, + "step": 8199 + }, + { + "epoch": 0.719710579800379, + "grad_norm": 0.04931640625, + "learning_rate": 0.0007894776138392688, + "loss": 1.1381, + "step": 8200 + }, + { + "epoch": 0.7197983493832816, + "grad_norm": 0.052490234375, + "learning_rate": 0.0007891508700794172, + "loss": 1.1794, + "step": 8201 + }, + { + "epoch": 0.719886118966184, + "grad_norm": 0.107421875, + "learning_rate": 0.000788824211281968, + "loss": 1.2086, + "step": 8202 + }, + { + "epoch": 0.7199738885490865, + "grad_norm": 0.0634765625, + "learning_rate": 0.0007884976374791613, + "loss": 1.1001, + "step": 8203 + }, + { + "epoch": 0.720061658131989, + "grad_norm": 0.061767578125, + "learning_rate": 0.0007881711487032298, + "loss": 1.2339, + "step": 8204 + }, + { + "epoch": 0.7201494277148914, + "grad_norm": 0.0654296875, + "learning_rate": 0.0007878447449863954, + "loss": 1.1392, + "step": 8205 + }, + { + "epoch": 0.720237197297794, + "grad_norm": 0.07373046875, + "learning_rate": 0.0007875184263608733, + "loss": 1.2256, + "step": 8206 + }, + { + "epoch": 0.7203249668806965, + "grad_norm": 0.058349609375, + "learning_rate": 0.0007871921928588699, + "loss": 1.0912, + "step": 8207 + }, + { + "epoch": 0.7204127364635989, + "grad_norm": 0.06689453125, + "learning_rate": 0.000786866044512583, + "loss": 1.1243, + "step": 8208 + }, + { + "epoch": 0.7205005060465014, + "grad_norm": 0.051513671875, + "learning_rate": 0.0007865399813542027, + "loss": 1.1164, + "step": 8209 + }, + { + "epoch": 0.7205882756294039, + "grad_norm": 0.07421875, + "learning_rate": 0.0007862140034159094, + "loss": 1.1818, + "step": 8210 + }, + { + "epoch": 0.7206760452123064, + "grad_norm": 0.06689453125, + "learning_rate": 0.000785888110729876, + "loss": 1.1882, + "step": 8211 + }, + { + "epoch": 0.7207638147952089, + "grad_norm": 0.058349609375, + "learning_rate": 0.000785562303328267, + "loss": 1.2095, + "step": 8212 + }, + { + "epoch": 0.7208515843781114, + "grad_norm": 0.061767578125, + "learning_rate": 0.0007852365812432384, + "loss": 1.1593, + "step": 8213 + }, + { + "epoch": 0.7209393539610138, + "grad_norm": 0.0615234375, + "learning_rate": 0.0007849109445069373, + "loss": 1.1206, + "step": 8214 + }, + { + "epoch": 0.7210271235439163, + "grad_norm": 0.07763671875, + "learning_rate": 0.0007845853931515028, + "loss": 1.1798, + "step": 8215 + }, + { + "epoch": 0.7211148931268189, + "grad_norm": 0.047607421875, + "learning_rate": 0.0007842599272090665, + "loss": 1.1498, + "step": 8216 + }, + { + "epoch": 0.7212026627097213, + "grad_norm": 0.059326171875, + "learning_rate": 0.0007839345467117492, + "loss": 1.1779, + "step": 8217 + }, + { + "epoch": 0.7212904322926238, + "grad_norm": 0.064453125, + "learning_rate": 0.0007836092516916656, + "loss": 1.1119, + "step": 8218 + }, + { + "epoch": 0.7213782018755263, + "grad_norm": 0.046630859375, + "learning_rate": 0.0007832840421809205, + "loss": 1.158, + "step": 8219 + }, + { + "epoch": 0.7214659714584287, + "grad_norm": 0.0595703125, + "learning_rate": 0.0007829589182116111, + "loss": 1.1138, + "step": 8220 + }, + { + "epoch": 0.7215537410413313, + "grad_norm": 0.068359375, + "learning_rate": 0.000782633879815826, + "loss": 1.133, + "step": 8221 + }, + { + "epoch": 0.7216415106242338, + "grad_norm": 0.08447265625, + "learning_rate": 0.0007823089270256448, + "loss": 1.1864, + "step": 8222 + }, + { + "epoch": 0.7217292802071362, + "grad_norm": 0.08447265625, + "learning_rate": 0.0007819840598731387, + "loss": 1.2169, + "step": 8223 + }, + { + "epoch": 0.7218170497900387, + "grad_norm": 0.05810546875, + "learning_rate": 0.0007816592783903723, + "loss": 1.1469, + "step": 8224 + }, + { + "epoch": 0.7219048193729412, + "grad_norm": 0.053955078125, + "learning_rate": 0.0007813345826093985, + "loss": 1.1467, + "step": 8225 + }, + { + "epoch": 0.7219925889558436, + "grad_norm": 0.0673828125, + "learning_rate": 0.0007810099725622646, + "loss": 1.1864, + "step": 8226 + }, + { + "epoch": 0.7220803585387462, + "grad_norm": 0.056396484375, + "learning_rate": 0.0007806854482810077, + "loss": 1.1445, + "step": 8227 + }, + { + "epoch": 0.7221681281216487, + "grad_norm": 0.059814453125, + "learning_rate": 0.0007803610097976579, + "loss": 1.1971, + "step": 8228 + }, + { + "epoch": 0.7222558977045511, + "grad_norm": 0.051513671875, + "learning_rate": 0.0007800366571442351, + "loss": 1.1671, + "step": 8229 + }, + { + "epoch": 0.7223436672874536, + "grad_norm": 0.047119140625, + "learning_rate": 0.0007797123903527519, + "loss": 1.1107, + "step": 8230 + }, + { + "epoch": 0.722431436870356, + "grad_norm": 0.06201171875, + "learning_rate": 0.0007793882094552123, + "loss": 1.2199, + "step": 8231 + }, + { + "epoch": 0.7225192064532586, + "grad_norm": 0.04931640625, + "learning_rate": 0.0007790641144836118, + "loss": 1.1662, + "step": 8232 + }, + { + "epoch": 0.7226069760361611, + "grad_norm": 0.046875, + "learning_rate": 0.0007787401054699366, + "loss": 1.1398, + "step": 8233 + }, + { + "epoch": 0.7226947456190635, + "grad_norm": 0.05908203125, + "learning_rate": 0.0007784161824461656, + "loss": 1.1298, + "step": 8234 + }, + { + "epoch": 0.722782515201966, + "grad_norm": 0.0654296875, + "learning_rate": 0.000778092345444269, + "loss": 1.1341, + "step": 8235 + }, + { + "epoch": 0.7228702847848685, + "grad_norm": 0.0576171875, + "learning_rate": 0.0007777685944962081, + "loss": 1.1177, + "step": 8236 + }, + { + "epoch": 0.722958054367771, + "grad_norm": 0.06103515625, + "learning_rate": 0.0007774449296339354, + "loss": 1.2303, + "step": 8237 + }, + { + "epoch": 0.7230458239506735, + "grad_norm": 0.0517578125, + "learning_rate": 0.0007771213508893956, + "loss": 1.1695, + "step": 8238 + }, + { + "epoch": 0.723133593533576, + "grad_norm": 0.051513671875, + "learning_rate": 0.0007767978582945247, + "loss": 1.2148, + "step": 8239 + }, + { + "epoch": 0.7232213631164784, + "grad_norm": 0.0478515625, + "learning_rate": 0.0007764744518812505, + "loss": 1.1626, + "step": 8240 + }, + { + "epoch": 0.7233091326993809, + "grad_norm": 0.050048828125, + "learning_rate": 0.0007761511316814913, + "loss": 1.0917, + "step": 8241 + }, + { + "epoch": 0.7233969022822835, + "grad_norm": 0.04736328125, + "learning_rate": 0.0007758278977271574, + "loss": 1.1469, + "step": 8242 + }, + { + "epoch": 0.723484671865186, + "grad_norm": 0.052490234375, + "learning_rate": 0.0007755047500501514, + "loss": 1.1313, + "step": 8243 + }, + { + "epoch": 0.7235724414480884, + "grad_norm": 0.052001953125, + "learning_rate": 0.000775181688682366, + "loss": 1.1902, + "step": 8244 + }, + { + "epoch": 0.7236602110309909, + "grad_norm": 0.051025390625, + "learning_rate": 0.0007748587136556868, + "loss": 1.122, + "step": 8245 + }, + { + "epoch": 0.7237479806138933, + "grad_norm": 0.0537109375, + "learning_rate": 0.0007745358250019896, + "loss": 1.2049, + "step": 8246 + }, + { + "epoch": 0.7238357501967959, + "grad_norm": 0.046875, + "learning_rate": 0.0007742130227531425, + "loss": 1.1116, + "step": 8247 + }, + { + "epoch": 0.7239235197796984, + "grad_norm": 0.045166015625, + "learning_rate": 0.0007738903069410052, + "loss": 1.1346, + "step": 8248 + }, + { + "epoch": 0.7240112893626008, + "grad_norm": 0.07470703125, + "learning_rate": 0.0007735676775974277, + "loss": 1.2077, + "step": 8249 + }, + { + "epoch": 0.7240990589455033, + "grad_norm": 0.04541015625, + "learning_rate": 0.0007732451347542522, + "loss": 1.1489, + "step": 8250 + }, + { + "epoch": 0.7241868285284058, + "grad_norm": 0.054931640625, + "learning_rate": 0.0007729226784433129, + "loss": 1.1526, + "step": 8251 + }, + { + "epoch": 0.7242745981113083, + "grad_norm": 0.048828125, + "learning_rate": 0.0007726003086964353, + "loss": 1.152, + "step": 8252 + }, + { + "epoch": 0.7243623676942108, + "grad_norm": 0.054443359375, + "learning_rate": 0.0007722780255454353, + "loss": 1.1602, + "step": 8253 + }, + { + "epoch": 0.7244501372771133, + "grad_norm": 0.052978515625, + "learning_rate": 0.0007719558290221205, + "loss": 1.1117, + "step": 8254 + }, + { + "epoch": 0.7245379068600157, + "grad_norm": 0.0498046875, + "learning_rate": 0.000771633719158292, + "loss": 1.1001, + "step": 8255 + }, + { + "epoch": 0.7246256764429182, + "grad_norm": 0.048095703125, + "learning_rate": 0.0007713116959857395, + "loss": 1.1352, + "step": 8256 + }, + { + "epoch": 0.7247134460258207, + "grad_norm": 0.051513671875, + "learning_rate": 0.0007709897595362459, + "loss": 1.2054, + "step": 8257 + }, + { + "epoch": 0.7248012156087232, + "grad_norm": 0.0517578125, + "learning_rate": 0.0007706679098415848, + "loss": 1.1485, + "step": 8258 + }, + { + "epoch": 0.7248889851916257, + "grad_norm": 0.054443359375, + "learning_rate": 0.0007703461469335219, + "loss": 1.1161, + "step": 8259 + }, + { + "epoch": 0.7249767547745282, + "grad_norm": 0.052490234375, + "learning_rate": 0.0007700244708438139, + "loss": 1.1407, + "step": 8260 + }, + { + "epoch": 0.7250645243574306, + "grad_norm": 0.05419921875, + "learning_rate": 0.0007697028816042086, + "loss": 1.2015, + "step": 8261 + }, + { + "epoch": 0.7251522939403331, + "grad_norm": 0.046142578125, + "learning_rate": 0.0007693813792464454, + "loss": 1.1444, + "step": 8262 + }, + { + "epoch": 0.7252400635232357, + "grad_norm": 0.05126953125, + "learning_rate": 0.0007690599638022559, + "loss": 1.1668, + "step": 8263 + }, + { + "epoch": 0.7253278331061381, + "grad_norm": 0.05078125, + "learning_rate": 0.000768738635303362, + "loss": 1.0985, + "step": 8264 + }, + { + "epoch": 0.7254156026890406, + "grad_norm": 0.05615234375, + "learning_rate": 0.000768417393781478, + "loss": 1.1922, + "step": 8265 + }, + { + "epoch": 0.7255033722719431, + "grad_norm": 0.05224609375, + "learning_rate": 0.000768096239268309, + "loss": 1.1707, + "step": 8266 + }, + { + "epoch": 0.7255911418548455, + "grad_norm": 0.0517578125, + "learning_rate": 0.000767775171795552, + "loss": 1.1993, + "step": 8267 + }, + { + "epoch": 0.7256789114377481, + "grad_norm": 0.0498046875, + "learning_rate": 0.0007674541913948943, + "loss": 1.2496, + "step": 8268 + }, + { + "epoch": 0.7257666810206506, + "grad_norm": 0.072265625, + "learning_rate": 0.000767133298098016, + "loss": 1.1862, + "step": 8269 + }, + { + "epoch": 0.725854450603553, + "grad_norm": 0.057861328125, + "learning_rate": 0.0007668124919365877, + "loss": 1.1618, + "step": 8270 + }, + { + "epoch": 0.7259422201864555, + "grad_norm": 0.060791015625, + "learning_rate": 0.0007664917729422718, + "loss": 1.1247, + "step": 8271 + }, + { + "epoch": 0.726029989769358, + "grad_norm": 0.0537109375, + "learning_rate": 0.0007661711411467226, + "loss": 1.154, + "step": 8272 + }, + { + "epoch": 0.7261177593522605, + "grad_norm": 0.052490234375, + "learning_rate": 0.0007658505965815843, + "loss": 1.1557, + "step": 8273 + }, + { + "epoch": 0.726205528935163, + "grad_norm": 0.045654296875, + "learning_rate": 0.0007655301392784929, + "loss": 1.1444, + "step": 8274 + }, + { + "epoch": 0.7262932985180655, + "grad_norm": 0.05908203125, + "learning_rate": 0.0007652097692690783, + "loss": 1.1556, + "step": 8275 + }, + { + "epoch": 0.7263810681009679, + "grad_norm": 0.049560546875, + "learning_rate": 0.0007648894865849581, + "loss": 1.2098, + "step": 8276 + }, + { + "epoch": 0.7264688376838704, + "grad_norm": 0.06494140625, + "learning_rate": 0.0007645692912577433, + "loss": 1.1254, + "step": 8277 + }, + { + "epoch": 0.726556607266773, + "grad_norm": 0.04833984375, + "learning_rate": 0.0007642491833190359, + "loss": 1.1025, + "step": 8278 + }, + { + "epoch": 0.7266443768496754, + "grad_norm": 0.050537109375, + "learning_rate": 0.00076392916280043, + "loss": 1.1741, + "step": 8279 + }, + { + "epoch": 0.7267321464325779, + "grad_norm": 0.052001953125, + "learning_rate": 0.000763609229733509, + "loss": 1.1587, + "step": 8280 + }, + { + "epoch": 0.7268199160154803, + "grad_norm": 0.05224609375, + "learning_rate": 0.00076328938414985, + "loss": 1.1053, + "step": 8281 + }, + { + "epoch": 0.7269076855983828, + "grad_norm": 0.061279296875, + "learning_rate": 0.0007629696260810201, + "loss": 1.213, + "step": 8282 + }, + { + "epoch": 0.7269954551812853, + "grad_norm": 0.047607421875, + "learning_rate": 0.0007626499555585788, + "loss": 1.1238, + "step": 8283 + }, + { + "epoch": 0.7270832247641879, + "grad_norm": 0.060302734375, + "learning_rate": 0.000762330372614075, + "loss": 1.1886, + "step": 8284 + }, + { + "epoch": 0.7271709943470903, + "grad_norm": 0.0498046875, + "learning_rate": 0.0007620108772790515, + "loss": 1.1812, + "step": 8285 + }, + { + "epoch": 0.7272587639299928, + "grad_norm": 0.0634765625, + "learning_rate": 0.0007616914695850407, + "loss": 1.1265, + "step": 8286 + }, + { + "epoch": 0.7273465335128952, + "grad_norm": 0.06005859375, + "learning_rate": 0.0007613721495635677, + "loss": 1.1719, + "step": 8287 + }, + { + "epoch": 0.7274343030957977, + "grad_norm": 0.05615234375, + "learning_rate": 0.0007610529172461466, + "loss": 1.1754, + "step": 8288 + }, + { + "epoch": 0.7275220726787003, + "grad_norm": 0.07080078125, + "learning_rate": 0.0007607337726642853, + "loss": 1.1208, + "step": 8289 + }, + { + "epoch": 0.7276098422616027, + "grad_norm": 0.0771484375, + "learning_rate": 0.0007604147158494822, + "loss": 1.1825, + "step": 8290 + }, + { + "epoch": 0.7276976118445052, + "grad_norm": 0.06494140625, + "learning_rate": 0.0007600957468332271, + "loss": 1.1893, + "step": 8291 + }, + { + "epoch": 0.7277853814274077, + "grad_norm": 0.051025390625, + "learning_rate": 0.000759776865647, + "loss": 1.1803, + "step": 8292 + }, + { + "epoch": 0.7278731510103101, + "grad_norm": 0.051513671875, + "learning_rate": 0.0007594580723222739, + "loss": 1.1355, + "step": 8293 + }, + { + "epoch": 0.7279609205932127, + "grad_norm": 0.049560546875, + "learning_rate": 0.0007591393668905125, + "loss": 1.175, + "step": 8294 + }, + { + "epoch": 0.7280486901761152, + "grad_norm": 0.06005859375, + "learning_rate": 0.0007588207493831705, + "loss": 1.1554, + "step": 8295 + }, + { + "epoch": 0.7281364597590176, + "grad_norm": 0.061279296875, + "learning_rate": 0.0007585022198316944, + "loss": 1.1618, + "step": 8296 + }, + { + "epoch": 0.7282242293419201, + "grad_norm": 0.055419921875, + "learning_rate": 0.0007581837782675214, + "loss": 1.1288, + "step": 8297 + }, + { + "epoch": 0.7283119989248226, + "grad_norm": 0.046875, + "learning_rate": 0.0007578654247220812, + "loss": 1.1434, + "step": 8298 + }, + { + "epoch": 0.7283997685077251, + "grad_norm": 0.050048828125, + "learning_rate": 0.0007575471592267939, + "loss": 1.1366, + "step": 8299 + }, + { + "epoch": 0.7284875380906276, + "grad_norm": 0.046630859375, + "learning_rate": 0.0007572289818130703, + "loss": 1.0952, + "step": 8300 + }, + { + "epoch": 0.7285753076735301, + "grad_norm": 0.06298828125, + "learning_rate": 0.0007569108925123134, + "loss": 1.1477, + "step": 8301 + }, + { + "epoch": 0.7286630772564325, + "grad_norm": 0.0498046875, + "learning_rate": 0.0007565928913559179, + "loss": 1.1287, + "step": 8302 + }, + { + "epoch": 0.728750846839335, + "grad_norm": 0.048828125, + "learning_rate": 0.0007562749783752693, + "loss": 1.1622, + "step": 8303 + }, + { + "epoch": 0.7288386164222376, + "grad_norm": 0.0537109375, + "learning_rate": 0.0007559571536017433, + "loss": 1.1765, + "step": 8304 + }, + { + "epoch": 0.72892638600514, + "grad_norm": 0.046630859375, + "learning_rate": 0.000755639417066709, + "loss": 1.1332, + "step": 8305 + }, + { + "epoch": 0.7290141555880425, + "grad_norm": 0.052734375, + "learning_rate": 0.0007553217688015261, + "loss": 1.1759, + "step": 8306 + }, + { + "epoch": 0.729101925170945, + "grad_norm": 0.048583984375, + "learning_rate": 0.0007550042088375439, + "loss": 1.1812, + "step": 8307 + }, + { + "epoch": 0.7291896947538474, + "grad_norm": 0.04833984375, + "learning_rate": 0.000754686737206105, + "loss": 1.1298, + "step": 8308 + }, + { + "epoch": 0.7292774643367499, + "grad_norm": 0.060302734375, + "learning_rate": 0.0007543693539385427, + "loss": 1.1134, + "step": 8309 + }, + { + "epoch": 0.7293652339196525, + "grad_norm": 0.06103515625, + "learning_rate": 0.0007540520590661809, + "loss": 1.1361, + "step": 8310 + }, + { + "epoch": 0.7294530035025549, + "grad_norm": 0.053955078125, + "learning_rate": 0.0007537348526203367, + "loss": 1.1192, + "step": 8311 + }, + { + "epoch": 0.7295407730854574, + "grad_norm": 0.051513671875, + "learning_rate": 0.0007534177346323156, + "loss": 1.1915, + "step": 8312 + }, + { + "epoch": 0.7296285426683599, + "grad_norm": 0.07666015625, + "learning_rate": 0.0007531007051334163, + "loss": 1.1566, + "step": 8313 + }, + { + "epoch": 0.7297163122512623, + "grad_norm": 0.052001953125, + "learning_rate": 0.0007527837641549288, + "loss": 1.1459, + "step": 8314 + }, + { + "epoch": 0.7298040818341649, + "grad_norm": 0.0673828125, + "learning_rate": 0.0007524669117281337, + "loss": 1.1931, + "step": 8315 + }, + { + "epoch": 0.7298918514170674, + "grad_norm": 0.08447265625, + "learning_rate": 0.0007521501478843029, + "loss": 1.191, + "step": 8316 + }, + { + "epoch": 0.7299796209999698, + "grad_norm": 0.0458984375, + "learning_rate": 0.0007518334726546998, + "loss": 1.1467, + "step": 8317 + }, + { + "epoch": 0.7300673905828723, + "grad_norm": 0.05859375, + "learning_rate": 0.00075151688607058, + "loss": 1.1848, + "step": 8318 + }, + { + "epoch": 0.7301551601657748, + "grad_norm": 0.05224609375, + "learning_rate": 0.0007512003881631875, + "loss": 1.172, + "step": 8319 + }, + { + "epoch": 0.7302429297486773, + "grad_norm": 0.07080078125, + "learning_rate": 0.0007508839789637605, + "loss": 1.1661, + "step": 8320 + }, + { + "epoch": 0.7303306993315798, + "grad_norm": 0.05908203125, + "learning_rate": 0.000750567658503527, + "loss": 1.1335, + "step": 8321 + }, + { + "epoch": 0.7304184689144823, + "grad_norm": 0.06689453125, + "learning_rate": 0.0007502514268137075, + "loss": 1.1349, + "step": 8322 + }, + { + "epoch": 0.7305062384973847, + "grad_norm": 0.061279296875, + "learning_rate": 0.0007499352839255113, + "loss": 1.1712, + "step": 8323 + }, + { + "epoch": 0.7305940080802872, + "grad_norm": 0.06005859375, + "learning_rate": 0.0007496192298701409, + "loss": 1.1382, + "step": 8324 + }, + { + "epoch": 0.7306817776631898, + "grad_norm": 0.07568359375, + "learning_rate": 0.0007493032646787903, + "loss": 1.1627, + "step": 8325 + }, + { + "epoch": 0.7307695472460922, + "grad_norm": 0.05908203125, + "learning_rate": 0.000748987388382644, + "loss": 1.1848, + "step": 8326 + }, + { + "epoch": 0.7308573168289947, + "grad_norm": 0.125, + "learning_rate": 0.000748671601012877, + "loss": 1.1663, + "step": 8327 + }, + { + "epoch": 0.7309450864118971, + "grad_norm": 0.10693359375, + "learning_rate": 0.0007483559026006565, + "loss": 1.2134, + "step": 8328 + }, + { + "epoch": 0.7310328559947996, + "grad_norm": 0.04931640625, + "learning_rate": 0.0007480402931771409, + "loss": 1.1005, + "step": 8329 + }, + { + "epoch": 0.7311206255777022, + "grad_norm": 0.1201171875, + "learning_rate": 0.0007477247727734797, + "loss": 1.2171, + "step": 8330 + }, + { + "epoch": 0.7312083951606047, + "grad_norm": 0.10693359375, + "learning_rate": 0.000747409341420813, + "loss": 1.2324, + "step": 8331 + }, + { + "epoch": 0.7312961647435071, + "grad_norm": 0.0771484375, + "learning_rate": 0.0007470939991502729, + "loss": 1.189, + "step": 8332 + }, + { + "epoch": 0.7313839343264096, + "grad_norm": 0.049072265625, + "learning_rate": 0.0007467787459929826, + "loss": 1.1615, + "step": 8333 + }, + { + "epoch": 0.731471703909312, + "grad_norm": 0.07373046875, + "learning_rate": 0.0007464635819800561, + "loss": 1.2332, + "step": 8334 + }, + { + "epoch": 0.7315594734922146, + "grad_norm": 0.0849609375, + "learning_rate": 0.000746148507142599, + "loss": 1.1637, + "step": 8335 + }, + { + "epoch": 0.7316472430751171, + "grad_norm": 0.05126953125, + "learning_rate": 0.0007458335215117078, + "loss": 1.1804, + "step": 8336 + }, + { + "epoch": 0.7317350126580195, + "grad_norm": 0.0634765625, + "learning_rate": 0.0007455186251184705, + "loss": 1.1391, + "step": 8337 + }, + { + "epoch": 0.731822782240922, + "grad_norm": 0.0478515625, + "learning_rate": 0.0007452038179939666, + "loss": 1.2426, + "step": 8338 + }, + { + "epoch": 0.7319105518238245, + "grad_norm": 0.05029296875, + "learning_rate": 0.0007448891001692651, + "loss": 1.1535, + "step": 8339 + }, + { + "epoch": 0.7319983214067269, + "grad_norm": 0.06884765625, + "learning_rate": 0.000744574471675428, + "loss": 1.1503, + "step": 8340 + }, + { + "epoch": 0.7320860909896295, + "grad_norm": 0.0673828125, + "learning_rate": 0.0007442599325435082, + "loss": 1.1845, + "step": 8341 + }, + { + "epoch": 0.732173860572532, + "grad_norm": 0.045654296875, + "learning_rate": 0.0007439454828045496, + "loss": 1.0727, + "step": 8342 + }, + { + "epoch": 0.7322616301554344, + "grad_norm": 0.048095703125, + "learning_rate": 0.0007436311224895862, + "loss": 1.1311, + "step": 8343 + }, + { + "epoch": 0.7323493997383369, + "grad_norm": 0.05419921875, + "learning_rate": 0.0007433168516296445, + "loss": 1.1518, + "step": 8344 + }, + { + "epoch": 0.7324371693212394, + "grad_norm": 0.0498046875, + "learning_rate": 0.0007430026702557426, + "loss": 1.1488, + "step": 8345 + }, + { + "epoch": 0.7325249389041419, + "grad_norm": 0.0537109375, + "learning_rate": 0.000742688578398888, + "loss": 1.1479, + "step": 8346 + }, + { + "epoch": 0.7326127084870444, + "grad_norm": 0.049560546875, + "learning_rate": 0.0007423745760900807, + "loss": 1.1437, + "step": 8347 + }, + { + "epoch": 0.7327004780699469, + "grad_norm": 0.048583984375, + "learning_rate": 0.0007420606633603113, + "loss": 1.1732, + "step": 8348 + }, + { + "epoch": 0.7327882476528493, + "grad_norm": 0.048095703125, + "learning_rate": 0.000741746840240562, + "loss": 1.1703, + "step": 8349 + }, + { + "epoch": 0.7328760172357518, + "grad_norm": 0.0625, + "learning_rate": 0.0007414331067618064, + "loss": 1.1776, + "step": 8350 + }, + { + "epoch": 0.7329637868186544, + "grad_norm": 0.047607421875, + "learning_rate": 0.0007411194629550075, + "loss": 1.1625, + "step": 8351 + }, + { + "epoch": 0.7330515564015568, + "grad_norm": 0.047607421875, + "learning_rate": 0.0007408059088511213, + "loss": 1.1393, + "step": 8352 + }, + { + "epoch": 0.7331393259844593, + "grad_norm": 0.053466796875, + "learning_rate": 0.0007404924444810944, + "loss": 1.1328, + "step": 8353 + }, + { + "epoch": 0.7332270955673618, + "grad_norm": 0.054931640625, + "learning_rate": 0.0007401790698758646, + "loss": 1.1462, + "step": 8354 + }, + { + "epoch": 0.7333148651502642, + "grad_norm": 0.058837890625, + "learning_rate": 0.0007398657850663607, + "loss": 1.1509, + "step": 8355 + }, + { + "epoch": 0.7334026347331668, + "grad_norm": 0.0693359375, + "learning_rate": 0.0007395525900835026, + "loss": 1.1044, + "step": 8356 + }, + { + "epoch": 0.7334904043160693, + "grad_norm": 0.048583984375, + "learning_rate": 0.0007392394849582016, + "loss": 1.1303, + "step": 8357 + }, + { + "epoch": 0.7335781738989717, + "grad_norm": 0.047607421875, + "learning_rate": 0.0007389264697213595, + "loss": 1.1039, + "step": 8358 + }, + { + "epoch": 0.7336659434818742, + "grad_norm": 0.051025390625, + "learning_rate": 0.0007386135444038698, + "loss": 1.1484, + "step": 8359 + }, + { + "epoch": 0.7337537130647767, + "grad_norm": 0.0654296875, + "learning_rate": 0.000738300709036617, + "loss": 1.1153, + "step": 8360 + }, + { + "epoch": 0.7338414826476792, + "grad_norm": 0.06640625, + "learning_rate": 0.000737987963650477, + "loss": 1.187, + "step": 8361 + }, + { + "epoch": 0.7339292522305817, + "grad_norm": 0.05712890625, + "learning_rate": 0.0007376753082763167, + "loss": 1.1616, + "step": 8362 + }, + { + "epoch": 0.7340170218134842, + "grad_norm": 0.045166015625, + "learning_rate": 0.0007373627429449932, + "loss": 1.1584, + "step": 8363 + }, + { + "epoch": 0.7341047913963866, + "grad_norm": 0.056884765625, + "learning_rate": 0.0007370502676873553, + "loss": 1.1824, + "step": 8364 + }, + { + "epoch": 0.7341925609792891, + "grad_norm": 0.05615234375, + "learning_rate": 0.0007367378825342446, + "loss": 1.2153, + "step": 8365 + }, + { + "epoch": 0.7342803305621916, + "grad_norm": 0.046142578125, + "learning_rate": 0.0007364255875164908, + "loss": 1.1826, + "step": 8366 + }, + { + "epoch": 0.7343681001450941, + "grad_norm": 0.0947265625, + "learning_rate": 0.0007361133826649166, + "loss": 1.1497, + "step": 8367 + }, + { + "epoch": 0.7344558697279966, + "grad_norm": 0.080078125, + "learning_rate": 0.0007358012680103356, + "loss": 1.1012, + "step": 8368 + }, + { + "epoch": 0.734543639310899, + "grad_norm": 0.047119140625, + "learning_rate": 0.0007354892435835526, + "loss": 1.1287, + "step": 8369 + }, + { + "epoch": 0.7346314088938015, + "grad_norm": 0.056884765625, + "learning_rate": 0.0007351773094153622, + "loss": 1.1146, + "step": 8370 + }, + { + "epoch": 0.734719178476704, + "grad_norm": 0.060546875, + "learning_rate": 0.0007348654655365516, + "loss": 1.163, + "step": 8371 + }, + { + "epoch": 0.7348069480596066, + "grad_norm": 0.0869140625, + "learning_rate": 0.0007345537119778986, + "loss": 1.1396, + "step": 8372 + }, + { + "epoch": 0.734894717642509, + "grad_norm": 0.04931640625, + "learning_rate": 0.0007342420487701723, + "loss": 1.1828, + "step": 8373 + }, + { + "epoch": 0.7349824872254115, + "grad_norm": 0.0478515625, + "learning_rate": 0.0007339304759441316, + "loss": 1.1609, + "step": 8374 + }, + { + "epoch": 0.735070256808314, + "grad_norm": 0.05810546875, + "learning_rate": 0.0007336189935305286, + "loss": 1.1658, + "step": 8375 + }, + { + "epoch": 0.7351580263912164, + "grad_norm": 0.0478515625, + "learning_rate": 0.0007333076015601049, + "loss": 1.206, + "step": 8376 + }, + { + "epoch": 0.735245795974119, + "grad_norm": 0.0654296875, + "learning_rate": 0.0007329963000635943, + "loss": 1.1918, + "step": 8377 + }, + { + "epoch": 0.7353335655570215, + "grad_norm": 0.053466796875, + "learning_rate": 0.00073268508907172, + "loss": 1.2066, + "step": 8378 + }, + { + "epoch": 0.7354213351399239, + "grad_norm": 0.051513671875, + "learning_rate": 0.0007323739686151978, + "loss": 1.1498, + "step": 8379 + }, + { + "epoch": 0.7355091047228264, + "grad_norm": 0.04638671875, + "learning_rate": 0.0007320629387247341, + "loss": 1.1217, + "step": 8380 + }, + { + "epoch": 0.7355968743057288, + "grad_norm": 0.08837890625, + "learning_rate": 0.0007317519994310266, + "loss": 1.0902, + "step": 8381 + }, + { + "epoch": 0.7356846438886314, + "grad_norm": 0.04931640625, + "learning_rate": 0.000731441150764763, + "loss": 1.1749, + "step": 8382 + }, + { + "epoch": 0.7357724134715339, + "grad_norm": 0.048583984375, + "learning_rate": 0.0007311303927566233, + "loss": 1.1661, + "step": 8383 + }, + { + "epoch": 0.7358601830544363, + "grad_norm": 0.0673828125, + "learning_rate": 0.0007308197254372779, + "loss": 1.1385, + "step": 8384 + }, + { + "epoch": 0.7359479526373388, + "grad_norm": 0.056884765625, + "learning_rate": 0.0007305091488373889, + "loss": 1.1733, + "step": 8385 + }, + { + "epoch": 0.7360357222202413, + "grad_norm": 0.05859375, + "learning_rate": 0.0007301986629876085, + "loss": 1.1791, + "step": 8386 + }, + { + "epoch": 0.7361234918031438, + "grad_norm": 0.0517578125, + "learning_rate": 0.0007298882679185806, + "loss": 1.1444, + "step": 8387 + }, + { + "epoch": 0.7362112613860463, + "grad_norm": 0.06005859375, + "learning_rate": 0.0007295779636609399, + "loss": 1.2301, + "step": 8388 + }, + { + "epoch": 0.7362990309689488, + "grad_norm": 0.07373046875, + "learning_rate": 0.0007292677502453127, + "loss": 1.1757, + "step": 8389 + }, + { + "epoch": 0.7363868005518512, + "grad_norm": 0.053466796875, + "learning_rate": 0.000728957627702315, + "loss": 1.1578, + "step": 8390 + }, + { + "epoch": 0.7364745701347537, + "grad_norm": 0.054931640625, + "learning_rate": 0.0007286475960625551, + "loss": 1.1385, + "step": 8391 + }, + { + "epoch": 0.7365623397176563, + "grad_norm": 0.06201171875, + "learning_rate": 0.0007283376553566318, + "loss": 1.191, + "step": 8392 + }, + { + "epoch": 0.7366501093005587, + "grad_norm": 0.055908203125, + "learning_rate": 0.0007280278056151355, + "loss": 1.1525, + "step": 8393 + }, + { + "epoch": 0.7367378788834612, + "grad_norm": 0.0634765625, + "learning_rate": 0.0007277180468686464, + "loss": 1.1553, + "step": 8394 + }, + { + "epoch": 0.7368256484663637, + "grad_norm": 0.059814453125, + "learning_rate": 0.0007274083791477362, + "loss": 1.1601, + "step": 8395 + }, + { + "epoch": 0.7369134180492661, + "grad_norm": 0.04736328125, + "learning_rate": 0.0007270988024829695, + "loss": 1.1663, + "step": 8396 + }, + { + "epoch": 0.7370011876321686, + "grad_norm": 0.052978515625, + "learning_rate": 0.0007267893169048987, + "loss": 1.1766, + "step": 8397 + }, + { + "epoch": 0.7370889572150712, + "grad_norm": 0.05615234375, + "learning_rate": 0.0007264799224440694, + "loss": 1.1366, + "step": 8398 + }, + { + "epoch": 0.7371767267979736, + "grad_norm": 0.052734375, + "learning_rate": 0.0007261706191310177, + "loss": 1.1434, + "step": 8399 + }, + { + "epoch": 0.7372644963808761, + "grad_norm": 0.05615234375, + "learning_rate": 0.0007258614069962702, + "loss": 1.1159, + "step": 8400 + }, + { + "epoch": 0.7373522659637786, + "grad_norm": 0.051025390625, + "learning_rate": 0.0007255522860703458, + "loss": 1.102, + "step": 8401 + }, + { + "epoch": 0.737440035546681, + "grad_norm": 0.0888671875, + "learning_rate": 0.0007252432563837525, + "loss": 1.1612, + "step": 8402 + }, + { + "epoch": 0.7375278051295836, + "grad_norm": 0.08642578125, + "learning_rate": 0.0007249343179669906, + "loss": 1.1391, + "step": 8403 + }, + { + "epoch": 0.7376155747124861, + "grad_norm": 0.047607421875, + "learning_rate": 0.0007246254708505514, + "loss": 1.1784, + "step": 8404 + }, + { + "epoch": 0.7377033442953885, + "grad_norm": 0.056640625, + "learning_rate": 0.0007243167150649166, + "loss": 1.148, + "step": 8405 + }, + { + "epoch": 0.737791113878291, + "grad_norm": 0.08935546875, + "learning_rate": 0.0007240080506405593, + "loss": 1.1294, + "step": 8406 + }, + { + "epoch": 0.7378788834611935, + "grad_norm": 0.07958984375, + "learning_rate": 0.0007236994776079433, + "loss": 1.1732, + "step": 8407 + }, + { + "epoch": 0.737966653044096, + "grad_norm": 0.046142578125, + "learning_rate": 0.0007233909959975243, + "loss": 1.107, + "step": 8408 + }, + { + "epoch": 0.7380544226269985, + "grad_norm": 0.06005859375, + "learning_rate": 0.0007230826058397471, + "loss": 1.1739, + "step": 8409 + }, + { + "epoch": 0.738142192209901, + "grad_norm": 0.0908203125, + "learning_rate": 0.0007227743071650491, + "loss": 1.1803, + "step": 8410 + }, + { + "epoch": 0.7382299617928034, + "grad_norm": 0.06787109375, + "learning_rate": 0.000722466100003858, + "loss": 1.1353, + "step": 8411 + }, + { + "epoch": 0.7383177313757059, + "grad_norm": 0.0478515625, + "learning_rate": 0.0007221579843865928, + "loss": 1.1819, + "step": 8412 + }, + { + "epoch": 0.7384055009586085, + "grad_norm": 0.059326171875, + "learning_rate": 0.0007218499603436639, + "loss": 1.1574, + "step": 8413 + }, + { + "epoch": 0.7384932705415109, + "grad_norm": 0.06494140625, + "learning_rate": 0.0007215420279054706, + "loss": 1.1329, + "step": 8414 + }, + { + "epoch": 0.7385810401244134, + "grad_norm": 0.0791015625, + "learning_rate": 0.0007212341871024054, + "loss": 1.1885, + "step": 8415 + }, + { + "epoch": 0.7386688097073159, + "grad_norm": 0.0673828125, + "learning_rate": 0.0007209264379648515, + "loss": 1.1419, + "step": 8416 + }, + { + "epoch": 0.7387565792902183, + "grad_norm": 0.07958984375, + "learning_rate": 0.0007206187805231819, + "loss": 1.1329, + "step": 8417 + }, + { + "epoch": 0.7388443488731209, + "grad_norm": 0.047607421875, + "learning_rate": 0.0007203112148077609, + "loss": 1.1462, + "step": 8418 + }, + { + "epoch": 0.7389321184560234, + "grad_norm": 0.07470703125, + "learning_rate": 0.0007200037408489448, + "loss": 1.1127, + "step": 8419 + }, + { + "epoch": 0.7390198880389258, + "grad_norm": 0.064453125, + "learning_rate": 0.0007196963586770799, + "loss": 1.1505, + "step": 8420 + }, + { + "epoch": 0.7391076576218283, + "grad_norm": 0.045654296875, + "learning_rate": 0.0007193890683225031, + "loss": 1.1477, + "step": 8421 + }, + { + "epoch": 0.7391954272047307, + "grad_norm": 0.059814453125, + "learning_rate": 0.0007190818698155427, + "loss": 1.1684, + "step": 8422 + }, + { + "epoch": 0.7392831967876332, + "grad_norm": 0.0693359375, + "learning_rate": 0.0007187747631865186, + "loss": 1.1236, + "step": 8423 + }, + { + "epoch": 0.7393709663705358, + "grad_norm": 0.06591796875, + "learning_rate": 0.000718467748465741, + "loss": 1.1462, + "step": 8424 + }, + { + "epoch": 0.7394587359534383, + "grad_norm": 0.0498046875, + "learning_rate": 0.0007181608256835099, + "loss": 1.2067, + "step": 8425 + }, + { + "epoch": 0.7395465055363407, + "grad_norm": 0.052490234375, + "learning_rate": 0.0007178539948701185, + "loss": 1.1058, + "step": 8426 + }, + { + "epoch": 0.7396342751192432, + "grad_norm": 0.060546875, + "learning_rate": 0.0007175472560558498, + "loss": 1.1649, + "step": 8427 + }, + { + "epoch": 0.7397220447021456, + "grad_norm": 0.054931640625, + "learning_rate": 0.0007172406092709776, + "loss": 1.1227, + "step": 8428 + }, + { + "epoch": 0.7398098142850482, + "grad_norm": 0.051513671875, + "learning_rate": 0.000716934054545766, + "loss": 1.113, + "step": 8429 + }, + { + "epoch": 0.7398975838679507, + "grad_norm": 0.048583984375, + "learning_rate": 0.0007166275919104714, + "loss": 1.1899, + "step": 8430 + }, + { + "epoch": 0.7399853534508531, + "grad_norm": 0.052490234375, + "learning_rate": 0.0007163212213953403, + "loss": 1.1824, + "step": 8431 + }, + { + "epoch": 0.7400731230337556, + "grad_norm": 0.0712890625, + "learning_rate": 0.0007160149430306107, + "loss": 1.1019, + "step": 8432 + }, + { + "epoch": 0.7401608926166581, + "grad_norm": 0.05078125, + "learning_rate": 0.0007157087568465103, + "loss": 1.166, + "step": 8433 + }, + { + "epoch": 0.7402486621995606, + "grad_norm": 0.05517578125, + "learning_rate": 0.0007154026628732585, + "loss": 1.1094, + "step": 8434 + }, + { + "epoch": 0.7403364317824631, + "grad_norm": 0.10498046875, + "learning_rate": 0.0007150966611410663, + "loss": 1.1777, + "step": 8435 + }, + { + "epoch": 0.7404242013653656, + "grad_norm": 0.047607421875, + "learning_rate": 0.000714790751680134, + "loss": 1.1778, + "step": 8436 + }, + { + "epoch": 0.740511970948268, + "grad_norm": 0.045654296875, + "learning_rate": 0.0007144849345206543, + "loss": 1.1165, + "step": 8437 + }, + { + "epoch": 0.7405997405311705, + "grad_norm": 0.064453125, + "learning_rate": 0.0007141792096928099, + "loss": 1.1769, + "step": 8438 + }, + { + "epoch": 0.7406875101140731, + "grad_norm": 0.07763671875, + "learning_rate": 0.0007138735772267746, + "loss": 1.1514, + "step": 8439 + }, + { + "epoch": 0.7407752796969755, + "grad_norm": 0.05029296875, + "learning_rate": 0.0007135680371527136, + "loss": 1.1674, + "step": 8440 + }, + { + "epoch": 0.740863049279878, + "grad_norm": 0.048828125, + "learning_rate": 0.0007132625895007817, + "loss": 1.1506, + "step": 8441 + }, + { + "epoch": 0.7409508188627805, + "grad_norm": 0.06298828125, + "learning_rate": 0.0007129572343011256, + "loss": 1.1312, + "step": 8442 + }, + { + "epoch": 0.7410385884456829, + "grad_norm": 0.046630859375, + "learning_rate": 0.0007126519715838829, + "loss": 1.099, + "step": 8443 + }, + { + "epoch": 0.7411263580285855, + "grad_norm": 0.05322265625, + "learning_rate": 0.000712346801379182, + "loss": 1.1059, + "step": 8444 + }, + { + "epoch": 0.741214127611488, + "grad_norm": 0.042236328125, + "learning_rate": 0.0007120417237171409, + "loss": 1.1142, + "step": 8445 + }, + { + "epoch": 0.7413018971943904, + "grad_norm": 0.047119140625, + "learning_rate": 0.0007117367386278708, + "loss": 1.1303, + "step": 8446 + }, + { + "epoch": 0.7413896667772929, + "grad_norm": 0.046630859375, + "learning_rate": 0.0007114318461414725, + "loss": 1.1078, + "step": 8447 + }, + { + "epoch": 0.7414774363601954, + "grad_norm": 0.05126953125, + "learning_rate": 0.0007111270462880369, + "loss": 1.1315, + "step": 8448 + }, + { + "epoch": 0.7415652059430978, + "grad_norm": 0.048828125, + "learning_rate": 0.0007108223390976468, + "loss": 1.1788, + "step": 8449 + }, + { + "epoch": 0.7416529755260004, + "grad_norm": 0.05078125, + "learning_rate": 0.0007105177246003757, + "loss": 1.1856, + "step": 8450 + }, + { + "epoch": 0.7417407451089029, + "grad_norm": 0.05517578125, + "learning_rate": 0.0007102132028262878, + "loss": 1.2113, + "step": 8451 + }, + { + "epoch": 0.7418285146918053, + "grad_norm": 0.05126953125, + "learning_rate": 0.0007099087738054388, + "loss": 1.1909, + "step": 8452 + }, + { + "epoch": 0.7419162842747078, + "grad_norm": 0.046875, + "learning_rate": 0.0007096044375678735, + "loss": 1.1496, + "step": 8453 + }, + { + "epoch": 0.7420040538576103, + "grad_norm": 0.054443359375, + "learning_rate": 0.0007093001941436293, + "loss": 1.207, + "step": 8454 + }, + { + "epoch": 0.7420918234405128, + "grad_norm": 0.06396484375, + "learning_rate": 0.0007089960435627339, + "loss": 1.1298, + "step": 8455 + }, + { + "epoch": 0.7421795930234153, + "grad_norm": 0.04541015625, + "learning_rate": 0.0007086919858552055, + "loss": 1.1545, + "step": 8456 + }, + { + "epoch": 0.7422673626063178, + "grad_norm": 0.0439453125, + "learning_rate": 0.0007083880210510536, + "loss": 1.12, + "step": 8457 + }, + { + "epoch": 0.7423551321892202, + "grad_norm": 0.055419921875, + "learning_rate": 0.0007080841491802781, + "loss": 1.1787, + "step": 8458 + }, + { + "epoch": 0.7424429017721227, + "grad_norm": 0.0478515625, + "learning_rate": 0.0007077803702728707, + "loss": 1.1311, + "step": 8459 + }, + { + "epoch": 0.7425306713550253, + "grad_norm": 0.0556640625, + "learning_rate": 0.0007074766843588121, + "loss": 1.1326, + "step": 8460 + }, + { + "epoch": 0.7426184409379277, + "grad_norm": 0.0458984375, + "learning_rate": 0.0007071730914680754, + "loss": 1.1026, + "step": 8461 + }, + { + "epoch": 0.7427062105208302, + "grad_norm": 0.051513671875, + "learning_rate": 0.0007068695916306239, + "loss": 1.1872, + "step": 8462 + }, + { + "epoch": 0.7427939801037327, + "grad_norm": 0.0517578125, + "learning_rate": 0.0007065661848764121, + "loss": 1.1355, + "step": 8463 + }, + { + "epoch": 0.7428817496866351, + "grad_norm": 0.058837890625, + "learning_rate": 0.0007062628712353852, + "loss": 1.1146, + "step": 8464 + }, + { + "epoch": 0.7429695192695377, + "grad_norm": 0.046875, + "learning_rate": 0.0007059596507374778, + "loss": 1.1837, + "step": 8465 + }, + { + "epoch": 0.7430572888524402, + "grad_norm": 0.048095703125, + "learning_rate": 0.000705656523412618, + "loss": 1.1358, + "step": 8466 + }, + { + "epoch": 0.7431450584353426, + "grad_norm": 0.0478515625, + "learning_rate": 0.0007053534892907232, + "loss": 1.1312, + "step": 8467 + }, + { + "epoch": 0.7432328280182451, + "grad_norm": 0.048828125, + "learning_rate": 0.0007050505484017008, + "loss": 1.1287, + "step": 8468 + }, + { + "epoch": 0.7433205976011475, + "grad_norm": 0.048828125, + "learning_rate": 0.0007047477007754502, + "loss": 1.1703, + "step": 8469 + }, + { + "epoch": 0.7434083671840501, + "grad_norm": 0.046875, + "learning_rate": 0.0007044449464418615, + "loss": 1.1449, + "step": 8470 + }, + { + "epoch": 0.7434961367669526, + "grad_norm": 0.05419921875, + "learning_rate": 0.0007041422854308154, + "loss": 1.1556, + "step": 8471 + }, + { + "epoch": 0.743583906349855, + "grad_norm": 0.048828125, + "learning_rate": 0.000703839717772183, + "loss": 1.1889, + "step": 8472 + }, + { + "epoch": 0.7436716759327575, + "grad_norm": 0.049560546875, + "learning_rate": 0.0007035372434958266, + "loss": 1.1807, + "step": 8473 + }, + { + "epoch": 0.74375944551566, + "grad_norm": 0.0458984375, + "learning_rate": 0.0007032348626315994, + "loss": 1.1338, + "step": 8474 + }, + { + "epoch": 0.7438472150985626, + "grad_norm": 0.050048828125, + "learning_rate": 0.0007029325752093449, + "loss": 1.1493, + "step": 8475 + }, + { + "epoch": 0.743934984681465, + "grad_norm": 0.052490234375, + "learning_rate": 0.0007026303812588979, + "loss": 1.127, + "step": 8476 + }, + { + "epoch": 0.7440227542643675, + "grad_norm": 0.05224609375, + "learning_rate": 0.0007023282808100837, + "loss": 1.1338, + "step": 8477 + }, + { + "epoch": 0.74411052384727, + "grad_norm": 0.05615234375, + "learning_rate": 0.0007020262738927187, + "loss": 1.1619, + "step": 8478 + }, + { + "epoch": 0.7441982934301724, + "grad_norm": 0.05810546875, + "learning_rate": 0.0007017243605366097, + "loss": 1.1385, + "step": 8479 + }, + { + "epoch": 0.7442860630130749, + "grad_norm": 0.0654296875, + "learning_rate": 0.0007014225407715538, + "loss": 1.1603, + "step": 8480 + }, + { + "epoch": 0.7443738325959774, + "grad_norm": 0.047607421875, + "learning_rate": 0.0007011208146273398, + "loss": 1.181, + "step": 8481 + }, + { + "epoch": 0.7444616021788799, + "grad_norm": 0.048095703125, + "learning_rate": 0.0007008191821337468, + "loss": 1.1028, + "step": 8482 + }, + { + "epoch": 0.7445493717617824, + "grad_norm": 0.05419921875, + "learning_rate": 0.0007005176433205454, + "loss": 1.1458, + "step": 8483 + }, + { + "epoch": 0.7446371413446848, + "grad_norm": 0.07080078125, + "learning_rate": 0.0007002161982174951, + "loss": 1.1529, + "step": 8484 + }, + { + "epoch": 0.7447249109275873, + "grad_norm": 0.0517578125, + "learning_rate": 0.0006999148468543475, + "loss": 1.2336, + "step": 8485 + }, + { + "epoch": 0.7448126805104899, + "grad_norm": 0.053466796875, + "learning_rate": 0.0006996135892608461, + "loss": 1.1366, + "step": 8486 + }, + { + "epoch": 0.7449004500933923, + "grad_norm": 0.04736328125, + "learning_rate": 0.0006993124254667227, + "loss": 1.0917, + "step": 8487 + }, + { + "epoch": 0.7449882196762948, + "grad_norm": 0.048583984375, + "learning_rate": 0.000699011355501701, + "loss": 1.1885, + "step": 8488 + }, + { + "epoch": 0.7450759892591973, + "grad_norm": 0.061767578125, + "learning_rate": 0.0006987103793954959, + "loss": 1.236, + "step": 8489 + }, + { + "epoch": 0.7451637588420997, + "grad_norm": 0.056640625, + "learning_rate": 0.000698409497177812, + "loss": 1.1423, + "step": 8490 + }, + { + "epoch": 0.7452515284250023, + "grad_norm": 0.0478515625, + "learning_rate": 0.000698108708878346, + "loss": 1.1744, + "step": 8491 + }, + { + "epoch": 0.7453392980079048, + "grad_norm": 0.05126953125, + "learning_rate": 0.0006978080145267837, + "loss": 1.1729, + "step": 8492 + }, + { + "epoch": 0.7454270675908072, + "grad_norm": 0.076171875, + "learning_rate": 0.0006975074141528025, + "loss": 1.1777, + "step": 8493 + }, + { + "epoch": 0.7455148371737097, + "grad_norm": 0.047607421875, + "learning_rate": 0.0006972069077860709, + "loss": 1.1564, + "step": 8494 + }, + { + "epoch": 0.7456026067566122, + "grad_norm": 0.06787109375, + "learning_rate": 0.0006969064954562474, + "loss": 1.1593, + "step": 8495 + }, + { + "epoch": 0.7456903763395147, + "grad_norm": 0.09326171875, + "learning_rate": 0.0006966061771929816, + "loss": 1.195, + "step": 8496 + }, + { + "epoch": 0.7457781459224172, + "grad_norm": 0.06494140625, + "learning_rate": 0.0006963059530259139, + "loss": 1.1528, + "step": 8497 + }, + { + "epoch": 0.7458659155053197, + "grad_norm": 0.04638671875, + "learning_rate": 0.0006960058229846752, + "loss": 1.151, + "step": 8498 + }, + { + "epoch": 0.7459536850882221, + "grad_norm": 0.06494140625, + "learning_rate": 0.0006957057870988866, + "loss": 1.132, + "step": 8499 + }, + { + "epoch": 0.7460414546711246, + "grad_norm": 0.07861328125, + "learning_rate": 0.0006954058453981609, + "loss": 1.1894, + "step": 8500 + }, + { + "epoch": 0.7460414546711246, + "eval_loss": 1.141708254814148, + "eval_runtime": 437.7426, + "eval_samples_per_second": 33.673, + "eval_steps_per_second": 8.418, + "step": 8500 + }, + { + "epoch": 0.7461292242540272, + "grad_norm": 0.09716796875, + "learning_rate": 0.0006951059979121013, + "loss": 1.1957, + "step": 8501 + }, + { + "epoch": 0.7462169938369296, + "grad_norm": 0.047607421875, + "learning_rate": 0.0006948062446703011, + "loss": 1.1382, + "step": 8502 + }, + { + "epoch": 0.7463047634198321, + "grad_norm": 0.056396484375, + "learning_rate": 0.0006945065857023457, + "loss": 1.1155, + "step": 8503 + }, + { + "epoch": 0.7463925330027346, + "grad_norm": 0.07666015625, + "learning_rate": 0.0006942070210378092, + "loss": 1.1686, + "step": 8504 + }, + { + "epoch": 0.746480302585637, + "grad_norm": 0.068359375, + "learning_rate": 0.0006939075507062576, + "loss": 1.1396, + "step": 8505 + }, + { + "epoch": 0.7465680721685395, + "grad_norm": 0.0703125, + "learning_rate": 0.0006936081747372477, + "loss": 1.0948, + "step": 8506 + }, + { + "epoch": 0.7466558417514421, + "grad_norm": 0.04638671875, + "learning_rate": 0.000693308893160327, + "loss": 1.1383, + "step": 8507 + }, + { + "epoch": 0.7467436113343445, + "grad_norm": 0.053955078125, + "learning_rate": 0.0006930097060050329, + "loss": 1.1544, + "step": 8508 + }, + { + "epoch": 0.746831380917247, + "grad_norm": 0.0576171875, + "learning_rate": 0.0006927106133008943, + "loss": 1.1371, + "step": 8509 + }, + { + "epoch": 0.7469191505001495, + "grad_norm": 0.0634765625, + "learning_rate": 0.0006924116150774306, + "loss": 1.1288, + "step": 8510 + }, + { + "epoch": 0.7470069200830519, + "grad_norm": 0.048095703125, + "learning_rate": 0.0006921127113641511, + "loss": 1.1467, + "step": 8511 + }, + { + "epoch": 0.7470946896659545, + "grad_norm": 0.048583984375, + "learning_rate": 0.000691813902190557, + "loss": 1.1482, + "step": 8512 + }, + { + "epoch": 0.747182459248857, + "grad_norm": 0.068359375, + "learning_rate": 0.0006915151875861392, + "loss": 1.0911, + "step": 8513 + }, + { + "epoch": 0.7472702288317594, + "grad_norm": 0.055908203125, + "learning_rate": 0.00069121656758038, + "loss": 1.1823, + "step": 8514 + }, + { + "epoch": 0.7473579984146619, + "grad_norm": 0.051513671875, + "learning_rate": 0.0006909180422027524, + "loss": 1.1376, + "step": 8515 + }, + { + "epoch": 0.7474457679975643, + "grad_norm": 0.051025390625, + "learning_rate": 0.000690619611482718, + "loss": 1.1867, + "step": 8516 + }, + { + "epoch": 0.7475335375804669, + "grad_norm": 0.05859375, + "learning_rate": 0.0006903212754497325, + "loss": 1.1473, + "step": 8517 + }, + { + "epoch": 0.7476213071633694, + "grad_norm": 0.06884765625, + "learning_rate": 0.0006900230341332401, + "loss": 1.1112, + "step": 8518 + }, + { + "epoch": 0.7477090767462719, + "grad_norm": 0.05126953125, + "learning_rate": 0.0006897248875626755, + "loss": 1.1499, + "step": 8519 + }, + { + "epoch": 0.7477968463291743, + "grad_norm": 0.053955078125, + "learning_rate": 0.0006894268357674648, + "loss": 1.164, + "step": 8520 + }, + { + "epoch": 0.7478846159120768, + "grad_norm": 0.05517578125, + "learning_rate": 0.0006891288787770247, + "loss": 1.1484, + "step": 8521 + }, + { + "epoch": 0.7479723854949794, + "grad_norm": 0.0576171875, + "learning_rate": 0.0006888310166207628, + "loss": 1.1421, + "step": 8522 + }, + { + "epoch": 0.7480601550778818, + "grad_norm": 0.052734375, + "learning_rate": 0.0006885332493280757, + "loss": 1.1863, + "step": 8523 + }, + { + "epoch": 0.7481479246607843, + "grad_norm": 0.051513671875, + "learning_rate": 0.0006882355769283529, + "loss": 1.164, + "step": 8524 + }, + { + "epoch": 0.7482356942436867, + "grad_norm": 0.05322265625, + "learning_rate": 0.0006879379994509728, + "loss": 1.1772, + "step": 8525 + }, + { + "epoch": 0.7483234638265892, + "grad_norm": 0.0478515625, + "learning_rate": 0.0006876405169253056, + "loss": 1.1712, + "step": 8526 + }, + { + "epoch": 0.7484112334094918, + "grad_norm": 0.0517578125, + "learning_rate": 0.0006873431293807116, + "loss": 1.1831, + "step": 8527 + }, + { + "epoch": 0.7484990029923942, + "grad_norm": 0.0517578125, + "learning_rate": 0.0006870458368465417, + "loss": 1.1263, + "step": 8528 + }, + { + "epoch": 0.7485867725752967, + "grad_norm": 0.049560546875, + "learning_rate": 0.0006867486393521375, + "loss": 1.1902, + "step": 8529 + }, + { + "epoch": 0.7486745421581992, + "grad_norm": 0.05615234375, + "learning_rate": 0.0006864515369268314, + "loss": 1.1848, + "step": 8530 + }, + { + "epoch": 0.7487623117411016, + "grad_norm": 0.0458984375, + "learning_rate": 0.0006861545295999457, + "loss": 1.0883, + "step": 8531 + }, + { + "epoch": 0.7488500813240042, + "grad_norm": 0.04443359375, + "learning_rate": 0.0006858576174007943, + "loss": 1.1079, + "step": 8532 + }, + { + "epoch": 0.7489378509069067, + "grad_norm": 0.055419921875, + "learning_rate": 0.0006855608003586812, + "loss": 1.1182, + "step": 8533 + }, + { + "epoch": 0.7490256204898091, + "grad_norm": 0.056640625, + "learning_rate": 0.0006852640785029013, + "loss": 1.1827, + "step": 8534 + }, + { + "epoch": 0.7491133900727116, + "grad_norm": 0.04833984375, + "learning_rate": 0.0006849674518627392, + "loss": 1.1932, + "step": 8535 + }, + { + "epoch": 0.7492011596556141, + "grad_norm": 0.056396484375, + "learning_rate": 0.0006846709204674707, + "loss": 1.1675, + "step": 8536 + }, + { + "epoch": 0.7492889292385165, + "grad_norm": 0.0634765625, + "learning_rate": 0.0006843744843463638, + "loss": 1.1222, + "step": 8537 + }, + { + "epoch": 0.7493766988214191, + "grad_norm": 0.06298828125, + "learning_rate": 0.0006840781435286738, + "loss": 1.2118, + "step": 8538 + }, + { + "epoch": 0.7494644684043216, + "grad_norm": 0.05029296875, + "learning_rate": 0.000683781898043649, + "loss": 1.1358, + "step": 8539 + }, + { + "epoch": 0.749552237987224, + "grad_norm": 0.04931640625, + "learning_rate": 0.0006834857479205279, + "loss": 1.1248, + "step": 8540 + }, + { + "epoch": 0.7496400075701265, + "grad_norm": 0.04931640625, + "learning_rate": 0.0006831896931885393, + "loss": 1.153, + "step": 8541 + }, + { + "epoch": 0.749727777153029, + "grad_norm": 0.061279296875, + "learning_rate": 0.0006828937338769027, + "loss": 1.1219, + "step": 8542 + }, + { + "epoch": 0.7498155467359315, + "grad_norm": 0.05712890625, + "learning_rate": 0.0006825978700148276, + "loss": 1.1341, + "step": 8543 + }, + { + "epoch": 0.749903316318834, + "grad_norm": 0.050537109375, + "learning_rate": 0.0006823021016315149, + "loss": 1.1411, + "step": 8544 + }, + { + "epoch": 0.7499910859017365, + "grad_norm": 0.04833984375, + "learning_rate": 0.0006820064287561558, + "loss": 1.1503, + "step": 8545 + }, + { + "epoch": 0.7500788554846389, + "grad_norm": 0.0771484375, + "learning_rate": 0.0006817108514179321, + "loss": 1.2033, + "step": 8546 + }, + { + "epoch": 0.7501666250675414, + "grad_norm": 0.06982421875, + "learning_rate": 0.0006814153696460159, + "loss": 1.1501, + "step": 8547 + }, + { + "epoch": 0.750254394650444, + "grad_norm": 0.04443359375, + "learning_rate": 0.0006811199834695703, + "loss": 1.1597, + "step": 8548 + }, + { + "epoch": 0.7503421642333464, + "grad_norm": 0.04736328125, + "learning_rate": 0.000680824692917749, + "loss": 1.1415, + "step": 8549 + }, + { + "epoch": 0.7504299338162489, + "grad_norm": 0.0537109375, + "learning_rate": 0.0006805294980196953, + "loss": 1.1668, + "step": 8550 + }, + { + "epoch": 0.7505177033991514, + "grad_norm": 0.048828125, + "learning_rate": 0.0006802343988045441, + "loss": 1.1531, + "step": 8551 + }, + { + "epoch": 0.7506054729820538, + "grad_norm": 0.04931640625, + "learning_rate": 0.0006799393953014207, + "loss": 1.1298, + "step": 8552 + }, + { + "epoch": 0.7506932425649564, + "grad_norm": 0.0703125, + "learning_rate": 0.0006796444875394405, + "loss": 1.1164, + "step": 8553 + }, + { + "epoch": 0.7507810121478589, + "grad_norm": 0.052001953125, + "learning_rate": 0.0006793496755477103, + "loss": 1.109, + "step": 8554 + }, + { + "epoch": 0.7508687817307613, + "grad_norm": 0.05029296875, + "learning_rate": 0.0006790549593553262, + "loss": 1.1383, + "step": 8555 + }, + { + "epoch": 0.7509565513136638, + "grad_norm": 0.0517578125, + "learning_rate": 0.0006787603389913753, + "loss": 1.1799, + "step": 8556 + }, + { + "epoch": 0.7510443208965663, + "grad_norm": 0.05712890625, + "learning_rate": 0.0006784658144849367, + "loss": 1.111, + "step": 8557 + }, + { + "epoch": 0.7511320904794688, + "grad_norm": 0.046630859375, + "learning_rate": 0.0006781713858650777, + "loss": 1.1155, + "step": 8558 + }, + { + "epoch": 0.7512198600623713, + "grad_norm": 0.04736328125, + "learning_rate": 0.0006778770531608576, + "loss": 1.1247, + "step": 8559 + }, + { + "epoch": 0.7513076296452738, + "grad_norm": 0.0458984375, + "learning_rate": 0.0006775828164013257, + "loss": 1.1699, + "step": 8560 + }, + { + "epoch": 0.7513953992281762, + "grad_norm": 0.05517578125, + "learning_rate": 0.0006772886756155227, + "loss": 1.1305, + "step": 8561 + }, + { + "epoch": 0.7514831688110787, + "grad_norm": 0.0576171875, + "learning_rate": 0.000676994630832478, + "loss": 1.1612, + "step": 8562 + }, + { + "epoch": 0.7515709383939811, + "grad_norm": 0.049560546875, + "learning_rate": 0.0006767006820812135, + "loss": 1.1629, + "step": 8563 + }, + { + "epoch": 0.7516587079768837, + "grad_norm": 0.046875, + "learning_rate": 0.0006764068293907404, + "loss": 1.0811, + "step": 8564 + }, + { + "epoch": 0.7517464775597862, + "grad_norm": 0.048583984375, + "learning_rate": 0.0006761130727900611, + "loss": 1.1527, + "step": 8565 + }, + { + "epoch": 0.7518342471426886, + "grad_norm": 0.0498046875, + "learning_rate": 0.0006758194123081677, + "loss": 1.1406, + "step": 8566 + }, + { + "epoch": 0.7519220167255911, + "grad_norm": 0.052734375, + "learning_rate": 0.0006755258479740439, + "loss": 1.1875, + "step": 8567 + }, + { + "epoch": 0.7520097863084936, + "grad_norm": 0.048583984375, + "learning_rate": 0.0006752323798166631, + "loss": 1.0801, + "step": 8568 + }, + { + "epoch": 0.7520975558913962, + "grad_norm": 0.0595703125, + "learning_rate": 0.0006749390078649899, + "loss": 1.1579, + "step": 8569 + }, + { + "epoch": 0.7521853254742986, + "grad_norm": 0.04736328125, + "learning_rate": 0.0006746457321479779, + "loss": 1.2005, + "step": 8570 + }, + { + "epoch": 0.7522730950572011, + "grad_norm": 0.06005859375, + "learning_rate": 0.0006743525526945731, + "loss": 1.1657, + "step": 8571 + }, + { + "epoch": 0.7523608646401035, + "grad_norm": 0.05712890625, + "learning_rate": 0.0006740594695337106, + "loss": 1.1037, + "step": 8572 + }, + { + "epoch": 0.752448634223006, + "grad_norm": 0.060791015625, + "learning_rate": 0.0006737664826943175, + "loss": 1.159, + "step": 8573 + }, + { + "epoch": 0.7525364038059086, + "grad_norm": 0.047119140625, + "learning_rate": 0.0006734735922053093, + "loss": 1.1044, + "step": 8574 + }, + { + "epoch": 0.752624173388811, + "grad_norm": 0.07666015625, + "learning_rate": 0.0006731807980955936, + "loss": 1.1352, + "step": 8575 + }, + { + "epoch": 0.7527119429717135, + "grad_norm": 0.0888671875, + "learning_rate": 0.0006728881003940677, + "loss": 1.1613, + "step": 8576 + }, + { + "epoch": 0.752799712554616, + "grad_norm": 0.064453125, + "learning_rate": 0.000672595499129621, + "loss": 1.1515, + "step": 8577 + }, + { + "epoch": 0.7528874821375184, + "grad_norm": 0.05126953125, + "learning_rate": 0.0006723029943311305, + "loss": 1.1349, + "step": 8578 + }, + { + "epoch": 0.752975251720421, + "grad_norm": 0.12451171875, + "learning_rate": 0.000672010586027466, + "loss": 1.1826, + "step": 8579 + }, + { + "epoch": 0.7530630213033235, + "grad_norm": 0.11474609375, + "learning_rate": 0.0006717182742474871, + "loss": 1.17, + "step": 8580 + }, + { + "epoch": 0.7531507908862259, + "grad_norm": 0.0732421875, + "learning_rate": 0.0006714260590200437, + "loss": 1.0976, + "step": 8581 + }, + { + "epoch": 0.7532385604691284, + "grad_norm": 0.046142578125, + "learning_rate": 0.0006711339403739761, + "loss": 1.1327, + "step": 8582 + }, + { + "epoch": 0.7533263300520309, + "grad_norm": 0.05224609375, + "learning_rate": 0.0006708419183381156, + "loss": 1.1697, + "step": 8583 + }, + { + "epoch": 0.7534140996349334, + "grad_norm": 0.095703125, + "learning_rate": 0.000670549992941283, + "loss": 1.1126, + "step": 8584 + }, + { + "epoch": 0.7535018692178359, + "grad_norm": 0.0810546875, + "learning_rate": 0.0006702581642122914, + "loss": 1.1667, + "step": 8585 + }, + { + "epoch": 0.7535896388007384, + "grad_norm": 0.052490234375, + "learning_rate": 0.0006699664321799413, + "loss": 1.1885, + "step": 8586 + }, + { + "epoch": 0.7536774083836408, + "grad_norm": 0.05517578125, + "learning_rate": 0.000669674796873027, + "loss": 1.1701, + "step": 8587 + }, + { + "epoch": 0.7537651779665433, + "grad_norm": 0.04541015625, + "learning_rate": 0.0006693832583203317, + "loss": 1.132, + "step": 8588 + }, + { + "epoch": 0.7538529475494458, + "grad_norm": 0.054443359375, + "learning_rate": 0.0006690918165506282, + "loss": 1.1461, + "step": 8589 + }, + { + "epoch": 0.7539407171323483, + "grad_norm": 0.06201171875, + "learning_rate": 0.0006688004715926813, + "loss": 1.1358, + "step": 8590 + }, + { + "epoch": 0.7540284867152508, + "grad_norm": 0.06591796875, + "learning_rate": 0.0006685092234752454, + "loss": 1.176, + "step": 8591 + }, + { + "epoch": 0.7541162562981533, + "grad_norm": 0.07421875, + "learning_rate": 0.0006682180722270656, + "loss": 1.1259, + "step": 8592 + }, + { + "epoch": 0.7542040258810557, + "grad_norm": 0.048095703125, + "learning_rate": 0.0006679270178768776, + "loss": 1.1567, + "step": 8593 + }, + { + "epoch": 0.7542917954639582, + "grad_norm": 0.05029296875, + "learning_rate": 0.0006676360604534069, + "loss": 1.1975, + "step": 8594 + }, + { + "epoch": 0.7543795650468608, + "grad_norm": 0.08154296875, + "learning_rate": 0.0006673451999853699, + "loss": 1.1658, + "step": 8595 + }, + { + "epoch": 0.7544673346297632, + "grad_norm": 0.057373046875, + "learning_rate": 0.0006670544365014735, + "loss": 1.2089, + "step": 8596 + }, + { + "epoch": 0.7545551042126657, + "grad_norm": 0.05517578125, + "learning_rate": 0.000666763770030415, + "loss": 1.1224, + "step": 8597 + }, + { + "epoch": 0.7546428737955682, + "grad_norm": 0.060302734375, + "learning_rate": 0.0006664732006008818, + "loss": 1.1679, + "step": 8598 + }, + { + "epoch": 0.7547306433784706, + "grad_norm": 0.05859375, + "learning_rate": 0.000666182728241552, + "loss": 1.1787, + "step": 8599 + }, + { + "epoch": 0.7548184129613732, + "grad_norm": 0.0458984375, + "learning_rate": 0.0006658923529810947, + "loss": 1.1164, + "step": 8600 + }, + { + "epoch": 0.7549061825442757, + "grad_norm": 0.054931640625, + "learning_rate": 0.0006656020748481679, + "loss": 1.1526, + "step": 8601 + }, + { + "epoch": 0.7549939521271781, + "grad_norm": 0.076171875, + "learning_rate": 0.0006653118938714211, + "loss": 1.137, + "step": 8602 + }, + { + "epoch": 0.7550817217100806, + "grad_norm": 0.064453125, + "learning_rate": 0.0006650218100794942, + "loss": 1.1438, + "step": 8603 + }, + { + "epoch": 0.755169491292983, + "grad_norm": 0.047607421875, + "learning_rate": 0.0006647318235010173, + "loss": 1.1472, + "step": 8604 + }, + { + "epoch": 0.7552572608758856, + "grad_norm": 0.049560546875, + "learning_rate": 0.0006644419341646113, + "loss": 1.1967, + "step": 8605 + }, + { + "epoch": 0.7553450304587881, + "grad_norm": 0.056640625, + "learning_rate": 0.0006641521420988859, + "loss": 1.1401, + "step": 8606 + }, + { + "epoch": 0.7554328000416906, + "grad_norm": 0.064453125, + "learning_rate": 0.0006638624473324437, + "loss": 1.1187, + "step": 8607 + }, + { + "epoch": 0.755520569624593, + "grad_norm": 0.046875, + "learning_rate": 0.0006635728498938766, + "loss": 1.1579, + "step": 8608 + }, + { + "epoch": 0.7556083392074955, + "grad_norm": 0.048095703125, + "learning_rate": 0.0006632833498117655, + "loss": 1.1882, + "step": 8609 + }, + { + "epoch": 0.7556961087903981, + "grad_norm": 0.0576171875, + "learning_rate": 0.0006629939471146835, + "loss": 1.2035, + "step": 8610 + }, + { + "epoch": 0.7557838783733005, + "grad_norm": 0.047607421875, + "learning_rate": 0.0006627046418311937, + "loss": 1.1847, + "step": 8611 + }, + { + "epoch": 0.755871647956203, + "grad_norm": 0.05908203125, + "learning_rate": 0.0006624154339898494, + "loss": 1.1543, + "step": 8612 + }, + { + "epoch": 0.7559594175391054, + "grad_norm": 0.045166015625, + "learning_rate": 0.0006621263236191938, + "loss": 1.162, + "step": 8613 + }, + { + "epoch": 0.7560471871220079, + "grad_norm": 0.052001953125, + "learning_rate": 0.0006618373107477613, + "loss": 1.1451, + "step": 8614 + }, + { + "epoch": 0.7561349567049105, + "grad_norm": 0.048583984375, + "learning_rate": 0.0006615483954040763, + "loss": 1.1697, + "step": 8615 + }, + { + "epoch": 0.756222726287813, + "grad_norm": 0.044921875, + "learning_rate": 0.0006612595776166534, + "loss": 1.1166, + "step": 8616 + }, + { + "epoch": 0.7563104958707154, + "grad_norm": 0.0595703125, + "learning_rate": 0.000660970857413998, + "loss": 1.1201, + "step": 8617 + }, + { + "epoch": 0.7563982654536179, + "grad_norm": 0.0625, + "learning_rate": 0.0006606822348246057, + "loss": 1.1736, + "step": 8618 + }, + { + "epoch": 0.7564860350365203, + "grad_norm": 0.055419921875, + "learning_rate": 0.0006603937098769622, + "loss": 1.2015, + "step": 8619 + }, + { + "epoch": 0.7565738046194228, + "grad_norm": 0.05908203125, + "learning_rate": 0.0006601052825995443, + "loss": 1.1369, + "step": 8620 + }, + { + "epoch": 0.7566615742023254, + "grad_norm": 0.06591796875, + "learning_rate": 0.0006598169530208177, + "loss": 1.1814, + "step": 8621 + }, + { + "epoch": 0.7567493437852278, + "grad_norm": 0.08056640625, + "learning_rate": 0.0006595287211692399, + "loss": 1.1684, + "step": 8622 + }, + { + "epoch": 0.7568371133681303, + "grad_norm": 0.048095703125, + "learning_rate": 0.0006592405870732581, + "loss": 1.1205, + "step": 8623 + }, + { + "epoch": 0.7569248829510328, + "grad_norm": 0.053466796875, + "learning_rate": 0.0006589525507613109, + "loss": 1.2387, + "step": 8624 + }, + { + "epoch": 0.7570126525339352, + "grad_norm": 0.04541015625, + "learning_rate": 0.0006586646122618248, + "loss": 1.1295, + "step": 8625 + }, + { + "epoch": 0.7571004221168378, + "grad_norm": 0.0595703125, + "learning_rate": 0.000658376771603219, + "loss": 1.148, + "step": 8626 + }, + { + "epoch": 0.7571881916997403, + "grad_norm": 0.0693359375, + "learning_rate": 0.000658089028813902, + "loss": 1.1662, + "step": 8627 + }, + { + "epoch": 0.7572759612826427, + "grad_norm": 0.05126953125, + "learning_rate": 0.0006578013839222738, + "loss": 1.0862, + "step": 8628 + }, + { + "epoch": 0.7573637308655452, + "grad_norm": 0.05126953125, + "learning_rate": 0.0006575138369567227, + "loss": 1.223, + "step": 8629 + }, + { + "epoch": 0.7574515004484477, + "grad_norm": 0.05224609375, + "learning_rate": 0.0006572263879456285, + "loss": 1.1459, + "step": 8630 + }, + { + "epoch": 0.7575392700313502, + "grad_norm": 0.0537109375, + "learning_rate": 0.0006569390369173619, + "loss": 1.0904, + "step": 8631 + }, + { + "epoch": 0.7576270396142527, + "grad_norm": 0.07861328125, + "learning_rate": 0.0006566517839002835, + "loss": 1.1778, + "step": 8632 + }, + { + "epoch": 0.7577148091971552, + "grad_norm": 0.052734375, + "learning_rate": 0.0006563646289227429, + "loss": 1.1191, + "step": 8633 + }, + { + "epoch": 0.7578025787800576, + "grad_norm": 0.046875, + "learning_rate": 0.0006560775720130819, + "loss": 1.1139, + "step": 8634 + }, + { + "epoch": 0.7578903483629601, + "grad_norm": 0.047607421875, + "learning_rate": 0.0006557906131996318, + "loss": 1.1556, + "step": 8635 + }, + { + "epoch": 0.7579781179458627, + "grad_norm": 0.05322265625, + "learning_rate": 0.0006555037525107148, + "loss": 1.1601, + "step": 8636 + }, + { + "epoch": 0.7580658875287651, + "grad_norm": 0.052734375, + "learning_rate": 0.0006552169899746413, + "loss": 1.1592, + "step": 8637 + }, + { + "epoch": 0.7581536571116676, + "grad_norm": 0.0615234375, + "learning_rate": 0.0006549303256197154, + "loss": 1.1812, + "step": 8638 + }, + { + "epoch": 0.7582414266945701, + "grad_norm": 0.06640625, + "learning_rate": 0.0006546437594742293, + "loss": 1.2025, + "step": 8639 + }, + { + "epoch": 0.7583291962774725, + "grad_norm": 0.0751953125, + "learning_rate": 0.0006543572915664654, + "loss": 1.1903, + "step": 8640 + }, + { + "epoch": 0.7584169658603751, + "grad_norm": 0.05126953125, + "learning_rate": 0.0006540709219246973, + "loss": 1.148, + "step": 8641 + }, + { + "epoch": 0.7585047354432776, + "grad_norm": 0.05322265625, + "learning_rate": 0.0006537846505771884, + "loss": 1.1705, + "step": 8642 + }, + { + "epoch": 0.75859250502618, + "grad_norm": 0.0634765625, + "learning_rate": 0.0006534984775521929, + "loss": 1.2103, + "step": 8643 + }, + { + "epoch": 0.7586802746090825, + "grad_norm": 0.06396484375, + "learning_rate": 0.0006532124028779549, + "loss": 1.0952, + "step": 8644 + }, + { + "epoch": 0.758768044191985, + "grad_norm": 0.056396484375, + "learning_rate": 0.0006529264265827081, + "loss": 1.1011, + "step": 8645 + }, + { + "epoch": 0.7588558137748874, + "grad_norm": 0.05078125, + "learning_rate": 0.000652640548694678, + "loss": 1.1525, + "step": 8646 + }, + { + "epoch": 0.75894358335779, + "grad_norm": 0.06787109375, + "learning_rate": 0.0006523547692420795, + "loss": 1.1269, + "step": 8647 + }, + { + "epoch": 0.7590313529406925, + "grad_norm": 0.052978515625, + "learning_rate": 0.0006520690882531176, + "loss": 1.1823, + "step": 8648 + }, + { + "epoch": 0.7591191225235949, + "grad_norm": 0.048583984375, + "learning_rate": 0.0006517835057559882, + "loss": 1.2419, + "step": 8649 + }, + { + "epoch": 0.7592068921064974, + "grad_norm": 0.051025390625, + "learning_rate": 0.0006514980217788768, + "loss": 1.1298, + "step": 8650 + }, + { + "epoch": 0.7592946616893999, + "grad_norm": 0.045654296875, + "learning_rate": 0.0006512126363499604, + "loss": 1.1652, + "step": 8651 + }, + { + "epoch": 0.7593824312723024, + "grad_norm": 0.05126953125, + "learning_rate": 0.0006509273494974044, + "loss": 1.1391, + "step": 8652 + }, + { + "epoch": 0.7594702008552049, + "grad_norm": 0.05029296875, + "learning_rate": 0.0006506421612493657, + "loss": 1.1167, + "step": 8653 + }, + { + "epoch": 0.7595579704381074, + "grad_norm": 0.046630859375, + "learning_rate": 0.0006503570716339916, + "loss": 1.1395, + "step": 8654 + }, + { + "epoch": 0.7596457400210098, + "grad_norm": 0.05517578125, + "learning_rate": 0.0006500720806794189, + "loss": 1.161, + "step": 8655 + }, + { + "epoch": 0.7597335096039123, + "grad_norm": 0.044921875, + "learning_rate": 0.000649787188413776, + "loss": 1.127, + "step": 8656 + }, + { + "epoch": 0.7598212791868149, + "grad_norm": 0.051025390625, + "learning_rate": 0.0006495023948651791, + "loss": 1.0858, + "step": 8657 + }, + { + "epoch": 0.7599090487697173, + "grad_norm": 0.0693359375, + "learning_rate": 0.0006492177000617374, + "loss": 1.1626, + "step": 8658 + }, + { + "epoch": 0.7599968183526198, + "grad_norm": 0.052734375, + "learning_rate": 0.0006489331040315492, + "loss": 1.1348, + "step": 8659 + }, + { + "epoch": 0.7600845879355222, + "grad_norm": 0.0595703125, + "learning_rate": 0.0006486486068027023, + "loss": 1.1339, + "step": 8660 + }, + { + "epoch": 0.7601723575184247, + "grad_norm": 0.05126953125, + "learning_rate": 0.0006483642084032757, + "loss": 1.1278, + "step": 8661 + }, + { + "epoch": 0.7602601271013273, + "grad_norm": 0.05126953125, + "learning_rate": 0.0006480799088613384, + "loss": 1.1566, + "step": 8662 + }, + { + "epoch": 0.7603478966842298, + "grad_norm": 0.052978515625, + "learning_rate": 0.0006477957082049501, + "loss": 1.1427, + "step": 8663 + }, + { + "epoch": 0.7604356662671322, + "grad_norm": 0.04638671875, + "learning_rate": 0.0006475116064621594, + "loss": 1.1486, + "step": 8664 + }, + { + "epoch": 0.7605234358500347, + "grad_norm": 0.053955078125, + "learning_rate": 0.0006472276036610066, + "loss": 1.1566, + "step": 8665 + }, + { + "epoch": 0.7606112054329371, + "grad_norm": 0.052001953125, + "learning_rate": 0.0006469436998295217, + "loss": 1.2041, + "step": 8666 + }, + { + "epoch": 0.7606989750158397, + "grad_norm": 0.05419921875, + "learning_rate": 0.0006466598949957245, + "loss": 1.1775, + "step": 8667 + }, + { + "epoch": 0.7607867445987422, + "grad_norm": 0.0498046875, + "learning_rate": 0.0006463761891876258, + "loss": 1.1453, + "step": 8668 + }, + { + "epoch": 0.7608745141816446, + "grad_norm": 0.045654296875, + "learning_rate": 0.0006460925824332261, + "loss": 1.1149, + "step": 8669 + }, + { + "epoch": 0.7609622837645471, + "grad_norm": 0.047119140625, + "learning_rate": 0.0006458090747605163, + "loss": 1.1587, + "step": 8670 + }, + { + "epoch": 0.7610500533474496, + "grad_norm": 0.04931640625, + "learning_rate": 0.0006455256661974776, + "loss": 1.1349, + "step": 8671 + }, + { + "epoch": 0.7611378229303521, + "grad_norm": 0.05419921875, + "learning_rate": 0.0006452423567720807, + "loss": 1.2067, + "step": 8672 + }, + { + "epoch": 0.7612255925132546, + "grad_norm": 0.06591796875, + "learning_rate": 0.0006449591465122878, + "loss": 1.1151, + "step": 8673 + }, + { + "epoch": 0.7613133620961571, + "grad_norm": 0.052001953125, + "learning_rate": 0.0006446760354460502, + "loss": 1.1831, + "step": 8674 + }, + { + "epoch": 0.7614011316790595, + "grad_norm": 0.058349609375, + "learning_rate": 0.0006443930236013106, + "loss": 1.1651, + "step": 8675 + }, + { + "epoch": 0.761488901261962, + "grad_norm": 0.049560546875, + "learning_rate": 0.0006441101110060002, + "loss": 1.169, + "step": 8676 + }, + { + "epoch": 0.7615766708448645, + "grad_norm": 0.052490234375, + "learning_rate": 0.0006438272976880412, + "loss": 1.0868, + "step": 8677 + }, + { + "epoch": 0.761664440427767, + "grad_norm": 0.060546875, + "learning_rate": 0.0006435445836753472, + "loss": 1.1515, + "step": 8678 + }, + { + "epoch": 0.7617522100106695, + "grad_norm": 0.060302734375, + "learning_rate": 0.0006432619689958208, + "loss": 1.2236, + "step": 8679 + }, + { + "epoch": 0.761839979593572, + "grad_norm": 0.045654296875, + "learning_rate": 0.0006429794536773543, + "loss": 1.1629, + "step": 8680 + }, + { + "epoch": 0.7619277491764744, + "grad_norm": 0.05810546875, + "learning_rate": 0.0006426970377478309, + "loss": 1.1795, + "step": 8681 + }, + { + "epoch": 0.7620155187593769, + "grad_norm": 0.0732421875, + "learning_rate": 0.0006424147212351245, + "loss": 1.1077, + "step": 8682 + }, + { + "epoch": 0.7621032883422795, + "grad_norm": 0.0537109375, + "learning_rate": 0.0006421325041670985, + "loss": 1.1042, + "step": 8683 + }, + { + "epoch": 0.7621910579251819, + "grad_norm": 0.045166015625, + "learning_rate": 0.000641850386571606, + "loss": 1.1544, + "step": 8684 + }, + { + "epoch": 0.7622788275080844, + "grad_norm": 0.05224609375, + "learning_rate": 0.0006415683684764912, + "loss": 1.1374, + "step": 8685 + }, + { + "epoch": 0.7623665970909869, + "grad_norm": 0.048583984375, + "learning_rate": 0.0006412864499095885, + "loss": 1.138, + "step": 8686 + }, + { + "epoch": 0.7624543666738893, + "grad_norm": 0.053466796875, + "learning_rate": 0.0006410046308987218, + "loss": 1.1721, + "step": 8687 + }, + { + "epoch": 0.7625421362567919, + "grad_norm": 0.051025390625, + "learning_rate": 0.0006407229114717057, + "loss": 1.1118, + "step": 8688 + }, + { + "epoch": 0.7626299058396944, + "grad_norm": 0.0498046875, + "learning_rate": 0.0006404412916563445, + "loss": 1.1628, + "step": 8689 + }, + { + "epoch": 0.7627176754225968, + "grad_norm": 0.055419921875, + "learning_rate": 0.000640159771480434, + "loss": 1.1699, + "step": 8690 + }, + { + "epoch": 0.7628054450054993, + "grad_norm": 0.0556640625, + "learning_rate": 0.0006398783509717576, + "loss": 1.146, + "step": 8691 + }, + { + "epoch": 0.7628932145884018, + "grad_norm": 0.052734375, + "learning_rate": 0.0006395970301580912, + "loss": 1.1182, + "step": 8692 + }, + { + "epoch": 0.7629809841713043, + "grad_norm": 0.052001953125, + "learning_rate": 0.0006393158090672, + "loss": 1.1061, + "step": 8693 + }, + { + "epoch": 0.7630687537542068, + "grad_norm": 0.04931640625, + "learning_rate": 0.0006390346877268394, + "loss": 1.1479, + "step": 8694 + }, + { + "epoch": 0.7631565233371093, + "grad_norm": 0.06103515625, + "learning_rate": 0.000638753666164755, + "loss": 1.1956, + "step": 8695 + }, + { + "epoch": 0.7632442929200117, + "grad_norm": 0.04931640625, + "learning_rate": 0.0006384727444086824, + "loss": 1.0852, + "step": 8696 + }, + { + "epoch": 0.7633320625029142, + "grad_norm": 0.048095703125, + "learning_rate": 0.000638191922486347, + "loss": 1.1165, + "step": 8697 + }, + { + "epoch": 0.7634198320858168, + "grad_norm": 0.0517578125, + "learning_rate": 0.0006379112004254663, + "loss": 1.1223, + "step": 8698 + }, + { + "epoch": 0.7635076016687192, + "grad_norm": 0.06396484375, + "learning_rate": 0.0006376305782537448, + "loss": 1.1657, + "step": 8699 + }, + { + "epoch": 0.7635953712516217, + "grad_norm": 0.06787109375, + "learning_rate": 0.0006373500559988796, + "loss": 1.1898, + "step": 8700 + }, + { + "epoch": 0.7636831408345242, + "grad_norm": 0.05224609375, + "learning_rate": 0.0006370696336885571, + "loss": 1.1642, + "step": 8701 + }, + { + "epoch": 0.7637709104174266, + "grad_norm": 0.05078125, + "learning_rate": 0.0006367893113504542, + "loss": 1.1641, + "step": 8702 + }, + { + "epoch": 0.7638586800003291, + "grad_norm": 0.06640625, + "learning_rate": 0.0006365090890122367, + "loss": 1.148, + "step": 8703 + }, + { + "epoch": 0.7639464495832317, + "grad_norm": 0.06298828125, + "learning_rate": 0.000636228966701562, + "loss": 1.2143, + "step": 8704 + }, + { + "epoch": 0.7640342191661341, + "grad_norm": 0.07275390625, + "learning_rate": 0.0006359489444460768, + "loss": 1.1437, + "step": 8705 + }, + { + "epoch": 0.7641219887490366, + "grad_norm": 0.054931640625, + "learning_rate": 0.0006356690222734185, + "loss": 1.1094, + "step": 8706 + }, + { + "epoch": 0.764209758331939, + "grad_norm": 0.046875, + "learning_rate": 0.0006353892002112143, + "loss": 1.132, + "step": 8707 + }, + { + "epoch": 0.7642975279148415, + "grad_norm": 0.064453125, + "learning_rate": 0.0006351094782870814, + "loss": 1.1507, + "step": 8708 + }, + { + "epoch": 0.7643852974977441, + "grad_norm": 0.0751953125, + "learning_rate": 0.0006348298565286273, + "loss": 1.1495, + "step": 8709 + }, + { + "epoch": 0.7644730670806466, + "grad_norm": 0.059814453125, + "learning_rate": 0.0006345503349634499, + "loss": 1.1036, + "step": 8710 + }, + { + "epoch": 0.764560836663549, + "grad_norm": 0.046142578125, + "learning_rate": 0.000634270913619136, + "loss": 1.0846, + "step": 8711 + }, + { + "epoch": 0.7646486062464515, + "grad_norm": 0.044921875, + "learning_rate": 0.0006339915925232639, + "loss": 1.116, + "step": 8712 + }, + { + "epoch": 0.7647363758293539, + "grad_norm": 0.04833984375, + "learning_rate": 0.0006337123717034016, + "loss": 1.1801, + "step": 8713 + }, + { + "epoch": 0.7648241454122565, + "grad_norm": 0.054931640625, + "learning_rate": 0.0006334332511871073, + "loss": 1.0995, + "step": 8714 + }, + { + "epoch": 0.764911914995159, + "grad_norm": 0.0625, + "learning_rate": 0.0006331542310019283, + "loss": 1.1235, + "step": 8715 + }, + { + "epoch": 0.7649996845780614, + "grad_norm": 0.0576171875, + "learning_rate": 0.0006328753111754033, + "loss": 1.1325, + "step": 8716 + }, + { + "epoch": 0.7650874541609639, + "grad_norm": 0.048583984375, + "learning_rate": 0.0006325964917350601, + "loss": 1.1824, + "step": 8717 + }, + { + "epoch": 0.7651752237438664, + "grad_norm": 0.0625, + "learning_rate": 0.0006323177727084184, + "loss": 1.1909, + "step": 8718 + }, + { + "epoch": 0.765262993326769, + "grad_norm": 0.0537109375, + "learning_rate": 0.0006320391541229852, + "loss": 1.1964, + "step": 8719 + }, + { + "epoch": 0.7653507629096714, + "grad_norm": 0.052001953125, + "learning_rate": 0.0006317606360062598, + "loss": 1.138, + "step": 8720 + }, + { + "epoch": 0.7654385324925739, + "grad_norm": 0.06494140625, + "learning_rate": 0.0006314822183857307, + "loss": 1.1818, + "step": 8721 + }, + { + "epoch": 0.7655263020754763, + "grad_norm": 0.049072265625, + "learning_rate": 0.0006312039012888768, + "loss": 1.1296, + "step": 8722 + }, + { + "epoch": 0.7656140716583788, + "grad_norm": 0.0546875, + "learning_rate": 0.0006309256847431663, + "loss": 1.1908, + "step": 8723 + }, + { + "epoch": 0.7657018412412814, + "grad_norm": 0.04931640625, + "learning_rate": 0.0006306475687760584, + "loss": 1.166, + "step": 8724 + }, + { + "epoch": 0.7657896108241838, + "grad_norm": 0.04833984375, + "learning_rate": 0.0006303695534150023, + "loss": 1.1742, + "step": 8725 + }, + { + "epoch": 0.7658773804070863, + "grad_norm": 0.06640625, + "learning_rate": 0.0006300916386874369, + "loss": 1.1255, + "step": 8726 + }, + { + "epoch": 0.7659651499899888, + "grad_norm": 0.052001953125, + "learning_rate": 0.0006298138246207906, + "loss": 1.1758, + "step": 8727 + }, + { + "epoch": 0.7660529195728912, + "grad_norm": 0.0517578125, + "learning_rate": 0.0006295361112424834, + "loss": 1.1753, + "step": 8728 + }, + { + "epoch": 0.7661406891557937, + "grad_norm": 0.05322265625, + "learning_rate": 0.0006292584985799248, + "loss": 1.1, + "step": 8729 + }, + { + "epoch": 0.7662284587386963, + "grad_norm": 0.04443359375, + "learning_rate": 0.0006289809866605132, + "loss": 1.0972, + "step": 8730 + }, + { + "epoch": 0.7663162283215987, + "grad_norm": 0.059326171875, + "learning_rate": 0.000628703575511638, + "loss": 1.1394, + "step": 8731 + }, + { + "epoch": 0.7664039979045012, + "grad_norm": 0.052490234375, + "learning_rate": 0.0006284262651606788, + "loss": 1.1526, + "step": 8732 + }, + { + "epoch": 0.7664917674874037, + "grad_norm": 0.0556640625, + "learning_rate": 0.0006281490556350052, + "loss": 1.1279, + "step": 8733 + }, + { + "epoch": 0.7665795370703061, + "grad_norm": 0.04736328125, + "learning_rate": 0.0006278719469619769, + "loss": 1.1102, + "step": 8734 + }, + { + "epoch": 0.7666673066532087, + "grad_norm": 0.048583984375, + "learning_rate": 0.0006275949391689429, + "loss": 1.1428, + "step": 8735 + }, + { + "epoch": 0.7667550762361112, + "grad_norm": 0.056396484375, + "learning_rate": 0.0006273180322832427, + "loss": 1.1647, + "step": 8736 + }, + { + "epoch": 0.7668428458190136, + "grad_norm": 0.0458984375, + "learning_rate": 0.0006270412263322063, + "loss": 1.1026, + "step": 8737 + }, + { + "epoch": 0.7669306154019161, + "grad_norm": 0.056640625, + "learning_rate": 0.000626764521343153, + "loss": 1.154, + "step": 8738 + }, + { + "epoch": 0.7670183849848186, + "grad_norm": 0.05517578125, + "learning_rate": 0.0006264879173433929, + "loss": 1.0877, + "step": 8739 + }, + { + "epoch": 0.7671061545677211, + "grad_norm": 0.052978515625, + "learning_rate": 0.0006262114143602255, + "loss": 1.2151, + "step": 8740 + }, + { + "epoch": 0.7671939241506236, + "grad_norm": 0.0498046875, + "learning_rate": 0.0006259350124209409, + "loss": 1.1715, + "step": 8741 + }, + { + "epoch": 0.7672816937335261, + "grad_norm": 0.054931640625, + "learning_rate": 0.0006256587115528183, + "loss": 1.1832, + "step": 8742 + }, + { + "epoch": 0.7673694633164285, + "grad_norm": 0.052490234375, + "learning_rate": 0.0006253825117831276, + "loss": 1.1227, + "step": 8743 + }, + { + "epoch": 0.767457232899331, + "grad_norm": 0.04931640625, + "learning_rate": 0.0006251064131391289, + "loss": 1.1478, + "step": 8744 + }, + { + "epoch": 0.7675450024822336, + "grad_norm": 0.047119140625, + "learning_rate": 0.0006248304156480718, + "loss": 1.1023, + "step": 8745 + }, + { + "epoch": 0.767632772065136, + "grad_norm": 0.046630859375, + "learning_rate": 0.0006245545193371967, + "loss": 1.1231, + "step": 8746 + }, + { + "epoch": 0.7677205416480385, + "grad_norm": 0.050048828125, + "learning_rate": 0.0006242787242337323, + "loss": 1.2054, + "step": 8747 + }, + { + "epoch": 0.767808311230941, + "grad_norm": 0.048095703125, + "learning_rate": 0.0006240030303648995, + "loss": 1.1875, + "step": 8748 + }, + { + "epoch": 0.7678960808138434, + "grad_norm": 0.046875, + "learning_rate": 0.0006237274377579085, + "loss": 1.1708, + "step": 8749 + }, + { + "epoch": 0.767983850396746, + "grad_norm": 0.048095703125, + "learning_rate": 0.0006234519464399583, + "loss": 1.1638, + "step": 8750 + }, + { + "epoch": 0.7680716199796485, + "grad_norm": 0.043701171875, + "learning_rate": 0.0006231765564382392, + "loss": 1.097, + "step": 8751 + }, + { + "epoch": 0.7681593895625509, + "grad_norm": 0.045654296875, + "learning_rate": 0.0006229012677799307, + "loss": 1.1916, + "step": 8752 + }, + { + "epoch": 0.7682471591454534, + "grad_norm": 0.046875, + "learning_rate": 0.0006226260804922038, + "loss": 1.0675, + "step": 8753 + }, + { + "epoch": 0.7683349287283558, + "grad_norm": 0.051513671875, + "learning_rate": 0.000622350994602217, + "loss": 1.1247, + "step": 8754 + }, + { + "epoch": 0.7684226983112584, + "grad_norm": 0.045166015625, + "learning_rate": 0.0006220760101371209, + "loss": 1.1291, + "step": 8755 + }, + { + "epoch": 0.7685104678941609, + "grad_norm": 0.07080078125, + "learning_rate": 0.0006218011271240554, + "loss": 1.1078, + "step": 8756 + }, + { + "epoch": 0.7685982374770634, + "grad_norm": 0.07275390625, + "learning_rate": 0.0006215263455901501, + "loss": 1.1702, + "step": 8757 + }, + { + "epoch": 0.7686860070599658, + "grad_norm": 0.04736328125, + "learning_rate": 0.0006212516655625253, + "loss": 1.1328, + "step": 8758 + }, + { + "epoch": 0.7687737766428683, + "grad_norm": 0.052978515625, + "learning_rate": 0.0006209770870682904, + "loss": 1.1639, + "step": 8759 + }, + { + "epoch": 0.7688615462257707, + "grad_norm": 0.050048828125, + "learning_rate": 0.0006207026101345453, + "loss": 1.1599, + "step": 8760 + }, + { + "epoch": 0.7689493158086733, + "grad_norm": 0.057861328125, + "learning_rate": 0.0006204282347883803, + "loss": 1.1493, + "step": 8761 + }, + { + "epoch": 0.7690370853915758, + "grad_norm": 0.06494140625, + "learning_rate": 0.0006201539610568743, + "loss": 1.1697, + "step": 8762 + }, + { + "epoch": 0.7691248549744782, + "grad_norm": 0.0478515625, + "learning_rate": 0.0006198797889670975, + "loss": 1.1701, + "step": 8763 + }, + { + "epoch": 0.7692126245573807, + "grad_norm": 0.0478515625, + "learning_rate": 0.0006196057185461095, + "loss": 1.1368, + "step": 8764 + }, + { + "epoch": 0.7693003941402832, + "grad_norm": 0.052734375, + "learning_rate": 0.0006193317498209604, + "loss": 1.1793, + "step": 8765 + }, + { + "epoch": 0.7693881637231857, + "grad_norm": 0.055419921875, + "learning_rate": 0.000619057882818689, + "loss": 1.1404, + "step": 8766 + }, + { + "epoch": 0.7694759333060882, + "grad_norm": 0.05419921875, + "learning_rate": 0.0006187841175663255, + "loss": 1.1415, + "step": 8767 + }, + { + "epoch": 0.7695637028889907, + "grad_norm": 0.05126953125, + "learning_rate": 0.0006185104540908888, + "loss": 1.155, + "step": 8768 + }, + { + "epoch": 0.7696514724718931, + "grad_norm": 0.048828125, + "learning_rate": 0.0006182368924193897, + "loss": 1.1097, + "step": 8769 + }, + { + "epoch": 0.7697392420547956, + "grad_norm": 0.06884765625, + "learning_rate": 0.0006179634325788265, + "loss": 1.1739, + "step": 8770 + }, + { + "epoch": 0.7698270116376982, + "grad_norm": 0.07080078125, + "learning_rate": 0.0006176900745961888, + "loss": 1.1454, + "step": 8771 + }, + { + "epoch": 0.7699147812206006, + "grad_norm": 0.047119140625, + "learning_rate": 0.0006174168184984562, + "loss": 1.1491, + "step": 8772 + }, + { + "epoch": 0.7700025508035031, + "grad_norm": 0.048828125, + "learning_rate": 0.0006171436643125982, + "loss": 1.1386, + "step": 8773 + }, + { + "epoch": 0.7700903203864056, + "grad_norm": 0.04833984375, + "learning_rate": 0.0006168706120655734, + "loss": 1.1506, + "step": 8774 + }, + { + "epoch": 0.770178089969308, + "grad_norm": 0.0625, + "learning_rate": 0.0006165976617843312, + "loss": 1.1295, + "step": 8775 + }, + { + "epoch": 0.7702658595522106, + "grad_norm": 0.0634765625, + "learning_rate": 0.0006163248134958108, + "loss": 1.1491, + "step": 8776 + }, + { + "epoch": 0.7703536291351131, + "grad_norm": 0.052490234375, + "learning_rate": 0.0006160520672269419, + "loss": 1.1225, + "step": 8777 + }, + { + "epoch": 0.7704413987180155, + "grad_norm": 0.05712890625, + "learning_rate": 0.0006157794230046417, + "loss": 1.1135, + "step": 8778 + }, + { + "epoch": 0.770529168300918, + "grad_norm": 0.0546875, + "learning_rate": 0.0006155068808558209, + "loss": 1.2143, + "step": 8779 + }, + { + "epoch": 0.7706169378838205, + "grad_norm": 0.055419921875, + "learning_rate": 0.0006152344408073779, + "loss": 1.1266, + "step": 8780 + }, + { + "epoch": 0.770704707466723, + "grad_norm": 0.060302734375, + "learning_rate": 0.000614962102886201, + "loss": 1.1008, + "step": 8781 + }, + { + "epoch": 0.7707924770496255, + "grad_norm": 0.0673828125, + "learning_rate": 0.000614689867119169, + "loss": 1.1411, + "step": 8782 + }, + { + "epoch": 0.770880246632528, + "grad_norm": 0.06396484375, + "learning_rate": 0.0006144177335331507, + "loss": 1.1368, + "step": 8783 + }, + { + "epoch": 0.7709680162154304, + "grad_norm": 0.047119140625, + "learning_rate": 0.0006141457021550044, + "loss": 1.1618, + "step": 8784 + }, + { + "epoch": 0.7710557857983329, + "grad_norm": 0.0615234375, + "learning_rate": 0.000613873773011579, + "loss": 1.1666, + "step": 8785 + }, + { + "epoch": 0.7711435553812354, + "grad_norm": 0.056640625, + "learning_rate": 0.0006136019461297123, + "loss": 1.1844, + "step": 8786 + }, + { + "epoch": 0.7712313249641379, + "grad_norm": 0.04833984375, + "learning_rate": 0.0006133302215362324, + "loss": 1.2051, + "step": 8787 + }, + { + "epoch": 0.7713190945470404, + "grad_norm": 0.052490234375, + "learning_rate": 0.0006130585992579578, + "loss": 1.1258, + "step": 8788 + }, + { + "epoch": 0.7714068641299429, + "grad_norm": 0.052001953125, + "learning_rate": 0.0006127870793216966, + "loss": 1.1952, + "step": 8789 + }, + { + "epoch": 0.7714946337128453, + "grad_norm": 0.05078125, + "learning_rate": 0.0006125156617542467, + "loss": 1.2428, + "step": 8790 + }, + { + "epoch": 0.7715824032957478, + "grad_norm": 0.04736328125, + "learning_rate": 0.0006122443465823957, + "loss": 1.0708, + "step": 8791 + }, + { + "epoch": 0.7716701728786504, + "grad_norm": 0.048828125, + "learning_rate": 0.0006119731338329219, + "loss": 1.1709, + "step": 8792 + }, + { + "epoch": 0.7717579424615528, + "grad_norm": 0.051513671875, + "learning_rate": 0.0006117020235325921, + "loss": 1.121, + "step": 8793 + }, + { + "epoch": 0.7718457120444553, + "grad_norm": 0.0537109375, + "learning_rate": 0.0006114310157081644, + "loss": 1.1171, + "step": 8794 + }, + { + "epoch": 0.7719334816273578, + "grad_norm": 0.049072265625, + "learning_rate": 0.0006111601103863859, + "loss": 1.0908, + "step": 8795 + }, + { + "epoch": 0.7720212512102602, + "grad_norm": 0.05029296875, + "learning_rate": 0.000610889307593994, + "loss": 1.1811, + "step": 8796 + }, + { + "epoch": 0.7721090207931628, + "grad_norm": 0.080078125, + "learning_rate": 0.0006106186073577164, + "loss": 1.2217, + "step": 8797 + }, + { + "epoch": 0.7721967903760653, + "grad_norm": 0.05859375, + "learning_rate": 0.0006103480097042687, + "loss": 1.1678, + "step": 8798 + }, + { + "epoch": 0.7722845599589677, + "grad_norm": 0.0478515625, + "learning_rate": 0.0006100775146603592, + "loss": 1.1732, + "step": 8799 + }, + { + "epoch": 0.7723723295418702, + "grad_norm": 0.053955078125, + "learning_rate": 0.0006098071222526847, + "loss": 1.1286, + "step": 8800 + }, + { + "epoch": 0.7724600991247726, + "grad_norm": 0.05224609375, + "learning_rate": 0.000609536832507931, + "loss": 1.1574, + "step": 8801 + }, + { + "epoch": 0.7725478687076752, + "grad_norm": 0.054443359375, + "learning_rate": 0.000609266645452775, + "loss": 1.177, + "step": 8802 + }, + { + "epoch": 0.7726356382905777, + "grad_norm": 0.05029296875, + "learning_rate": 0.0006089965611138831, + "loss": 1.1774, + "step": 8803 + }, + { + "epoch": 0.7727234078734802, + "grad_norm": 0.04833984375, + "learning_rate": 0.0006087265795179119, + "loss": 1.1507, + "step": 8804 + }, + { + "epoch": 0.7728111774563826, + "grad_norm": 0.045654296875, + "learning_rate": 0.0006084567006915069, + "loss": 1.1198, + "step": 8805 + }, + { + "epoch": 0.7728989470392851, + "grad_norm": 0.04736328125, + "learning_rate": 0.0006081869246613044, + "loss": 1.1679, + "step": 8806 + }, + { + "epoch": 0.7729867166221877, + "grad_norm": 0.046875, + "learning_rate": 0.0006079172514539301, + "loss": 1.1337, + "step": 8807 + }, + { + "epoch": 0.7730744862050901, + "grad_norm": 0.050048828125, + "learning_rate": 0.0006076476810959997, + "loss": 1.1922, + "step": 8808 + }, + { + "epoch": 0.7731622557879926, + "grad_norm": 0.045654296875, + "learning_rate": 0.0006073782136141189, + "loss": 1.1247, + "step": 8809 + }, + { + "epoch": 0.773250025370895, + "grad_norm": 0.051513671875, + "learning_rate": 0.0006071088490348831, + "loss": 1.0949, + "step": 8810 + }, + { + "epoch": 0.7733377949537975, + "grad_norm": 0.055908203125, + "learning_rate": 0.0006068395873848771, + "loss": 1.157, + "step": 8811 + }, + { + "epoch": 0.7734255645367001, + "grad_norm": 0.045166015625, + "learning_rate": 0.0006065704286906769, + "loss": 1.1218, + "step": 8812 + }, + { + "epoch": 0.7735133341196025, + "grad_norm": 0.042724609375, + "learning_rate": 0.0006063013729788461, + "loss": 1.138, + "step": 8813 + }, + { + "epoch": 0.773601103702505, + "grad_norm": 0.051513671875, + "learning_rate": 0.0006060324202759403, + "loss": 1.1659, + "step": 8814 + }, + { + "epoch": 0.7736888732854075, + "grad_norm": 0.050048828125, + "learning_rate": 0.0006057635706085037, + "loss": 1.1615, + "step": 8815 + }, + { + "epoch": 0.7737766428683099, + "grad_norm": 0.0712890625, + "learning_rate": 0.0006054948240030713, + "loss": 1.174, + "step": 8816 + }, + { + "epoch": 0.7738644124512124, + "grad_norm": 0.05224609375, + "learning_rate": 0.0006052261804861665, + "loss": 1.136, + "step": 8817 + }, + { + "epoch": 0.773952182034115, + "grad_norm": 0.050537109375, + "learning_rate": 0.0006049576400843034, + "loss": 1.1736, + "step": 8818 + }, + { + "epoch": 0.7740399516170174, + "grad_norm": 0.04931640625, + "learning_rate": 0.0006046892028239864, + "loss": 1.1277, + "step": 8819 + }, + { + "epoch": 0.7741277211999199, + "grad_norm": 0.061279296875, + "learning_rate": 0.0006044208687317096, + "loss": 1.1682, + "step": 8820 + }, + { + "epoch": 0.7742154907828224, + "grad_norm": 0.061767578125, + "learning_rate": 0.0006041526378339553, + "loss": 1.184, + "step": 8821 + }, + { + "epoch": 0.7743032603657248, + "grad_norm": 0.0634765625, + "learning_rate": 0.0006038845101571976, + "loss": 1.1191, + "step": 8822 + }, + { + "epoch": 0.7743910299486274, + "grad_norm": 0.052490234375, + "learning_rate": 0.0006036164857278993, + "loss": 1.1231, + "step": 8823 + }, + { + "epoch": 0.7744787995315299, + "grad_norm": 0.0654296875, + "learning_rate": 0.0006033485645725141, + "loss": 1.1072, + "step": 8824 + }, + { + "epoch": 0.7745665691144323, + "grad_norm": 0.072265625, + "learning_rate": 0.0006030807467174836, + "loss": 1.1581, + "step": 8825 + }, + { + "epoch": 0.7746543386973348, + "grad_norm": 0.05615234375, + "learning_rate": 0.0006028130321892412, + "loss": 1.1083, + "step": 8826 + }, + { + "epoch": 0.7747421082802373, + "grad_norm": 0.04638671875, + "learning_rate": 0.0006025454210142089, + "loss": 1.1567, + "step": 8827 + }, + { + "epoch": 0.7748298778631398, + "grad_norm": 0.052490234375, + "learning_rate": 0.000602277913218799, + "loss": 1.1968, + "step": 8828 + }, + { + "epoch": 0.7749176474460423, + "grad_norm": 0.0517578125, + "learning_rate": 0.0006020105088294133, + "loss": 1.1695, + "step": 8829 + }, + { + "epoch": 0.7750054170289448, + "grad_norm": 0.056884765625, + "learning_rate": 0.0006017432078724438, + "loss": 1.1544, + "step": 8830 + }, + { + "epoch": 0.7750931866118472, + "grad_norm": 0.07080078125, + "learning_rate": 0.0006014760103742724, + "loss": 1.1603, + "step": 8831 + }, + { + "epoch": 0.7751809561947497, + "grad_norm": 0.056884765625, + "learning_rate": 0.0006012089163612694, + "loss": 1.2235, + "step": 8832 + }, + { + "epoch": 0.7752687257776523, + "grad_norm": 0.049560546875, + "learning_rate": 0.0006009419258597967, + "loss": 1.1794, + "step": 8833 + }, + { + "epoch": 0.7753564953605547, + "grad_norm": 0.0625, + "learning_rate": 0.0006006750388962049, + "loss": 1.1652, + "step": 8834 + }, + { + "epoch": 0.7754442649434572, + "grad_norm": 0.060302734375, + "learning_rate": 0.0006004082554968348, + "loss": 1.1797, + "step": 8835 + }, + { + "epoch": 0.7755320345263597, + "grad_norm": 0.04931640625, + "learning_rate": 0.0006001415756880172, + "loss": 1.1387, + "step": 8836 + }, + { + "epoch": 0.7756198041092621, + "grad_norm": 0.04736328125, + "learning_rate": 0.0005998749994960717, + "loss": 1.1246, + "step": 8837 + }, + { + "epoch": 0.7757075736921647, + "grad_norm": 0.052978515625, + "learning_rate": 0.0005996085269473081, + "loss": 1.1578, + "step": 8838 + }, + { + "epoch": 0.7757953432750672, + "grad_norm": 0.052001953125, + "learning_rate": 0.0005993421580680276, + "loss": 1.1078, + "step": 8839 + }, + { + "epoch": 0.7758831128579696, + "grad_norm": 0.044189453125, + "learning_rate": 0.0005990758928845185, + "loss": 1.0945, + "step": 8840 + }, + { + "epoch": 0.7759708824408721, + "grad_norm": 0.05517578125, + "learning_rate": 0.0005988097314230604, + "loss": 1.1454, + "step": 8841 + }, + { + "epoch": 0.7760586520237746, + "grad_norm": 0.044921875, + "learning_rate": 0.0005985436737099224, + "loss": 1.1117, + "step": 8842 + }, + { + "epoch": 0.776146421606677, + "grad_norm": 0.055908203125, + "learning_rate": 0.000598277719771364, + "loss": 1.1197, + "step": 8843 + }, + { + "epoch": 0.7762341911895796, + "grad_norm": 0.048583984375, + "learning_rate": 0.0005980118696336325, + "loss": 1.1312, + "step": 8844 + }, + { + "epoch": 0.7763219607724821, + "grad_norm": 0.046875, + "learning_rate": 0.0005977461233229671, + "loss": 1.1226, + "step": 8845 + }, + { + "epoch": 0.7764097303553845, + "grad_norm": 0.050537109375, + "learning_rate": 0.0005974804808655959, + "loss": 1.1957, + "step": 8846 + }, + { + "epoch": 0.776497499938287, + "grad_norm": 0.052978515625, + "learning_rate": 0.0005972149422877364, + "loss": 1.1272, + "step": 8847 + }, + { + "epoch": 0.7765852695211894, + "grad_norm": 0.05810546875, + "learning_rate": 0.0005969495076155966, + "loss": 1.1628, + "step": 8848 + }, + { + "epoch": 0.776673039104092, + "grad_norm": 0.0517578125, + "learning_rate": 0.0005966841768753737, + "loss": 1.1514, + "step": 8849 + }, + { + "epoch": 0.7767608086869945, + "grad_norm": 0.049560546875, + "learning_rate": 0.0005964189500932549, + "loss": 1.1393, + "step": 8850 + }, + { + "epoch": 0.776848578269897, + "grad_norm": 0.049560546875, + "learning_rate": 0.0005961538272954169, + "loss": 1.188, + "step": 8851 + }, + { + "epoch": 0.7769363478527994, + "grad_norm": 0.052490234375, + "learning_rate": 0.0005958888085080262, + "loss": 1.2155, + "step": 8852 + }, + { + "epoch": 0.7770241174357019, + "grad_norm": 0.049072265625, + "learning_rate": 0.0005956238937572391, + "loss": 1.0922, + "step": 8853 + }, + { + "epoch": 0.7771118870186045, + "grad_norm": 0.046875, + "learning_rate": 0.0005953590830692017, + "loss": 1.0895, + "step": 8854 + }, + { + "epoch": 0.7771996566015069, + "grad_norm": 0.048828125, + "learning_rate": 0.0005950943764700503, + "loss": 1.1665, + "step": 8855 + }, + { + "epoch": 0.7772874261844094, + "grad_norm": 0.051025390625, + "learning_rate": 0.0005948297739859094, + "loss": 1.149, + "step": 8856 + }, + { + "epoch": 0.7773751957673118, + "grad_norm": 0.04931640625, + "learning_rate": 0.0005945652756428947, + "loss": 1.1409, + "step": 8857 + }, + { + "epoch": 0.7774629653502143, + "grad_norm": 0.046142578125, + "learning_rate": 0.0005943008814671109, + "loss": 1.1349, + "step": 8858 + }, + { + "epoch": 0.7775507349331169, + "grad_norm": 0.055908203125, + "learning_rate": 0.0005940365914846536, + "loss": 1.1617, + "step": 8859 + }, + { + "epoch": 0.7776385045160193, + "grad_norm": 0.045166015625, + "learning_rate": 0.0005937724057216062, + "loss": 1.1498, + "step": 8860 + }, + { + "epoch": 0.7777262740989218, + "grad_norm": 0.050537109375, + "learning_rate": 0.0005935083242040429, + "loss": 1.1729, + "step": 8861 + }, + { + "epoch": 0.7778140436818243, + "grad_norm": 0.04541015625, + "learning_rate": 0.0005932443469580276, + "loss": 1.0901, + "step": 8862 + }, + { + "epoch": 0.7779018132647267, + "grad_norm": 0.044677734375, + "learning_rate": 0.0005929804740096144, + "loss": 1.0708, + "step": 8863 + }, + { + "epoch": 0.7779895828476293, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005927167053848457, + "loss": 1.0949, + "step": 8864 + }, + { + "epoch": 0.7780773524305318, + "grad_norm": 0.046875, + "learning_rate": 0.0005924530411097547, + "loss": 1.1382, + "step": 8865 + }, + { + "epoch": 0.7781651220134342, + "grad_norm": 0.050537109375, + "learning_rate": 0.0005921894812103639, + "loss": 1.1688, + "step": 8866 + }, + { + "epoch": 0.7782528915963367, + "grad_norm": 0.046875, + "learning_rate": 0.0005919260257126862, + "loss": 1.1107, + "step": 8867 + }, + { + "epoch": 0.7783406611792392, + "grad_norm": 0.06591796875, + "learning_rate": 0.0005916626746427225, + "loss": 1.1678, + "step": 8868 + }, + { + "epoch": 0.7784284307621416, + "grad_norm": 0.062255859375, + "learning_rate": 0.0005913994280264654, + "loss": 1.1564, + "step": 8869 + }, + { + "epoch": 0.7785162003450442, + "grad_norm": 0.0478515625, + "learning_rate": 0.0005911362858898962, + "loss": 1.2149, + "step": 8870 + }, + { + "epoch": 0.7786039699279467, + "grad_norm": 0.05908203125, + "learning_rate": 0.0005908732482589863, + "loss": 1.1861, + "step": 8871 + }, + { + "epoch": 0.7786917395108491, + "grad_norm": 0.056396484375, + "learning_rate": 0.0005906103151596955, + "loss": 1.2011, + "step": 8872 + }, + { + "epoch": 0.7787795090937516, + "grad_norm": 0.044921875, + "learning_rate": 0.0005903474866179749, + "loss": 1.1424, + "step": 8873 + }, + { + "epoch": 0.7788672786766541, + "grad_norm": 0.053466796875, + "learning_rate": 0.0005900847626597646, + "loss": 1.1502, + "step": 8874 + }, + { + "epoch": 0.7789550482595566, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005898221433109946, + "loss": 1.159, + "step": 8875 + }, + { + "epoch": 0.7790428178424591, + "grad_norm": 0.05712890625, + "learning_rate": 0.000589559628597584, + "loss": 1.127, + "step": 8876 + }, + { + "epoch": 0.7791305874253616, + "grad_norm": 0.05615234375, + "learning_rate": 0.0005892972185454419, + "loss": 1.1401, + "step": 8877 + }, + { + "epoch": 0.779218357008264, + "grad_norm": 0.0654296875, + "learning_rate": 0.0005890349131804672, + "loss": 1.1947, + "step": 8878 + }, + { + "epoch": 0.7793061265911665, + "grad_norm": 0.07470703125, + "learning_rate": 0.0005887727125285489, + "loss": 1.1445, + "step": 8879 + }, + { + "epoch": 0.7793938961740691, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005885106166155645, + "loss": 1.0948, + "step": 8880 + }, + { + "epoch": 0.7794816657569715, + "grad_norm": 0.054931640625, + "learning_rate": 0.0005882486254673823, + "loss": 1.1607, + "step": 8881 + }, + { + "epoch": 0.779569435339874, + "grad_norm": 0.05126953125, + "learning_rate": 0.0005879867391098599, + "loss": 1.1134, + "step": 8882 + }, + { + "epoch": 0.7796572049227765, + "grad_norm": 0.053955078125, + "learning_rate": 0.0005877249575688439, + "loss": 1.1484, + "step": 8883 + }, + { + "epoch": 0.7797449745056789, + "grad_norm": 0.060791015625, + "learning_rate": 0.0005874632808701714, + "loss": 1.1193, + "step": 8884 + }, + { + "epoch": 0.7798327440885815, + "grad_norm": 0.05810546875, + "learning_rate": 0.0005872017090396685, + "loss": 1.1354, + "step": 8885 + }, + { + "epoch": 0.779920513671484, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005869402421031521, + "loss": 1.1567, + "step": 8886 + }, + { + "epoch": 0.7800082832543864, + "grad_norm": 0.05078125, + "learning_rate": 0.0005866788800864277, + "loss": 1.1459, + "step": 8887 + }, + { + "epoch": 0.7800960528372889, + "grad_norm": 0.050048828125, + "learning_rate": 0.0005864176230152901, + "loss": 1.1526, + "step": 8888 + }, + { + "epoch": 0.7801838224201914, + "grad_norm": 0.068359375, + "learning_rate": 0.0005861564709155244, + "loss": 1.1497, + "step": 8889 + }, + { + "epoch": 0.7802715920030939, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005858954238129061, + "loss": 1.1187, + "step": 8890 + }, + { + "epoch": 0.7803593615859964, + "grad_norm": 0.078125, + "learning_rate": 0.0005856344817331989, + "loss": 1.1662, + "step": 8891 + }, + { + "epoch": 0.7804471311688989, + "grad_norm": 0.047607421875, + "learning_rate": 0.0005853736447021567, + "loss": 1.15, + "step": 8892 + }, + { + "epoch": 0.7805349007518013, + "grad_norm": 0.052734375, + "learning_rate": 0.0005851129127455234, + "loss": 1.1881, + "step": 8893 + }, + { + "epoch": 0.7806226703347038, + "grad_norm": 0.058837890625, + "learning_rate": 0.0005848522858890324, + "loss": 1.1766, + "step": 8894 + }, + { + "epoch": 0.7807104399176064, + "grad_norm": 0.0673828125, + "learning_rate": 0.0005845917641584058, + "loss": 1.1765, + "step": 8895 + }, + { + "epoch": 0.7807982095005088, + "grad_norm": 0.050537109375, + "learning_rate": 0.0005843313475793566, + "loss": 1.1793, + "step": 8896 + }, + { + "epoch": 0.7808859790834113, + "grad_norm": 0.04833984375, + "learning_rate": 0.0005840710361775867, + "loss": 1.1694, + "step": 8897 + }, + { + "epoch": 0.7809737486663137, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005838108299787878, + "loss": 1.1063, + "step": 8898 + }, + { + "epoch": 0.7810615182492162, + "grad_norm": 0.049072265625, + "learning_rate": 0.0005835507290086412, + "loss": 1.1678, + "step": 8899 + }, + { + "epoch": 0.7811492878321187, + "grad_norm": 0.06689453125, + "learning_rate": 0.0005832907332928179, + "loss": 1.1383, + "step": 8900 + }, + { + "epoch": 0.7812370574150213, + "grad_norm": 0.04638671875, + "learning_rate": 0.0005830308428569787, + "loss": 1.1127, + "step": 8901 + }, + { + "epoch": 0.7813248269979237, + "grad_norm": 0.054931640625, + "learning_rate": 0.0005827710577267737, + "loss": 1.2, + "step": 8902 + }, + { + "epoch": 0.7814125965808262, + "grad_norm": 0.050048828125, + "learning_rate": 0.0005825113779278422, + "loss": 1.1176, + "step": 8903 + }, + { + "epoch": 0.7815003661637286, + "grad_norm": 0.045166015625, + "learning_rate": 0.0005822518034858139, + "loss": 1.2235, + "step": 8904 + }, + { + "epoch": 0.7815881357466311, + "grad_norm": 0.04736328125, + "learning_rate": 0.0005819923344263076, + "loss": 1.1418, + "step": 8905 + }, + { + "epoch": 0.7816759053295337, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005817329707749325, + "loss": 1.111, + "step": 8906 + }, + { + "epoch": 0.7817636749124361, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005814737125572858, + "loss": 1.1578, + "step": 8907 + }, + { + "epoch": 0.7818514444953386, + "grad_norm": 0.06494140625, + "learning_rate": 0.0005812145597989558, + "loss": 1.1602, + "step": 8908 + }, + { + "epoch": 0.7819392140782411, + "grad_norm": 0.04638671875, + "learning_rate": 0.0005809555125255194, + "loss": 1.1149, + "step": 8909 + }, + { + "epoch": 0.7820269836611435, + "grad_norm": 0.053955078125, + "learning_rate": 0.0005806965707625446, + "loss": 1.1882, + "step": 8910 + }, + { + "epoch": 0.7821147532440461, + "grad_norm": 0.0498046875, + "learning_rate": 0.000580437734535587, + "loss": 1.1413, + "step": 8911 + }, + { + "epoch": 0.7822025228269486, + "grad_norm": 0.048828125, + "learning_rate": 0.0005801790038701928, + "loss": 1.1901, + "step": 8912 + }, + { + "epoch": 0.782290292409851, + "grad_norm": 0.052734375, + "learning_rate": 0.000579920378791898, + "loss": 1.1908, + "step": 8913 + }, + { + "epoch": 0.7823780619927535, + "grad_norm": 0.046142578125, + "learning_rate": 0.0005796618593262279, + "loss": 1.1151, + "step": 8914 + }, + { + "epoch": 0.782465831575656, + "grad_norm": 0.0458984375, + "learning_rate": 0.0005794034454986969, + "loss": 1.1254, + "step": 8915 + }, + { + "epoch": 0.7825536011585585, + "grad_norm": 0.0546875, + "learning_rate": 0.0005791451373348096, + "loss": 1.1627, + "step": 8916 + }, + { + "epoch": 0.782641370741461, + "grad_norm": 0.0556640625, + "learning_rate": 0.0005788869348600603, + "loss": 1.1722, + "step": 8917 + }, + { + "epoch": 0.7827291403243635, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005786288380999326, + "loss": 1.17, + "step": 8918 + }, + { + "epoch": 0.7828169099072659, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005783708470798987, + "loss": 1.1488, + "step": 8919 + }, + { + "epoch": 0.7829046794901684, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005781129618254222, + "loss": 1.1738, + "step": 8920 + }, + { + "epoch": 0.782992449073071, + "grad_norm": 0.0595703125, + "learning_rate": 0.0005778551823619552, + "loss": 1.1267, + "step": 8921 + }, + { + "epoch": 0.7830802186559734, + "grad_norm": 0.04931640625, + "learning_rate": 0.0005775975087149399, + "loss": 1.1721, + "step": 8922 + }, + { + "epoch": 0.7831679882388759, + "grad_norm": 0.04541015625, + "learning_rate": 0.0005773399409098066, + "loss": 1.1295, + "step": 8923 + }, + { + "epoch": 0.7832557578217784, + "grad_norm": 0.050537109375, + "learning_rate": 0.000577082478971977, + "loss": 1.2333, + "step": 8924 + }, + { + "epoch": 0.7833435274046808, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005768251229268615, + "loss": 1.161, + "step": 8925 + }, + { + "epoch": 0.7834312969875833, + "grad_norm": 0.048583984375, + "learning_rate": 0.0005765678727998602, + "loss": 1.1363, + "step": 8926 + }, + { + "epoch": 0.7835190665704859, + "grad_norm": 0.04833984375, + "learning_rate": 0.0005763107286163622, + "loss": 1.1456, + "step": 8927 + }, + { + "epoch": 0.7836068361533883, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005760536904017469, + "loss": 1.0977, + "step": 8928 + }, + { + "epoch": 0.7836946057362908, + "grad_norm": 0.05078125, + "learning_rate": 0.000575796758181383, + "loss": 1.1844, + "step": 8929 + }, + { + "epoch": 0.7837823753191933, + "grad_norm": 0.042236328125, + "learning_rate": 0.0005755399319806288, + "loss": 1.1188, + "step": 8930 + }, + { + "epoch": 0.7838701449020957, + "grad_norm": 0.04833984375, + "learning_rate": 0.0005752832118248317, + "loss": 1.1393, + "step": 8931 + }, + { + "epoch": 0.7839579144849983, + "grad_norm": 0.04541015625, + "learning_rate": 0.000575026597739329, + "loss": 1.1289, + "step": 8932 + }, + { + "epoch": 0.7840456840679008, + "grad_norm": 0.04541015625, + "learning_rate": 0.0005747700897494484, + "loss": 1.0853, + "step": 8933 + }, + { + "epoch": 0.7841334536508032, + "grad_norm": 0.04541015625, + "learning_rate": 0.0005745136878805047, + "loss": 1.126, + "step": 8934 + }, + { + "epoch": 0.7842212232337057, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005742573921578047, + "loss": 1.1316, + "step": 8935 + }, + { + "epoch": 0.7843089928166082, + "grad_norm": 0.04248046875, + "learning_rate": 0.0005740012026066437, + "loss": 1.0678, + "step": 8936 + }, + { + "epoch": 0.7843967623995107, + "grad_norm": 0.048828125, + "learning_rate": 0.0005737451192523065, + "loss": 1.182, + "step": 8937 + }, + { + "epoch": 0.7844845319824132, + "grad_norm": 0.051513671875, + "learning_rate": 0.0005734891421200677, + "loss": 1.1269, + "step": 8938 + }, + { + "epoch": 0.7845723015653157, + "grad_norm": 0.061767578125, + "learning_rate": 0.0005732332712351904, + "loss": 1.1515, + "step": 8939 + }, + { + "epoch": 0.7846600711482181, + "grad_norm": 0.05078125, + "learning_rate": 0.0005729775066229291, + "loss": 1.1858, + "step": 8940 + }, + { + "epoch": 0.7847478407311206, + "grad_norm": 0.049560546875, + "learning_rate": 0.0005727218483085266, + "loss": 1.1307, + "step": 8941 + }, + { + "epoch": 0.7848356103140232, + "grad_norm": 0.044921875, + "learning_rate": 0.0005724662963172147, + "loss": 1.1158, + "step": 8942 + }, + { + "epoch": 0.7849233798969256, + "grad_norm": 0.050048828125, + "learning_rate": 0.0005722108506742158, + "loss": 1.1597, + "step": 8943 + }, + { + "epoch": 0.7850111494798281, + "grad_norm": 0.048828125, + "learning_rate": 0.0005719555114047414, + "loss": 1.1196, + "step": 8944 + }, + { + "epoch": 0.7850989190627305, + "grad_norm": 0.04931640625, + "learning_rate": 0.0005717002785339928, + "loss": 1.1897, + "step": 8945 + }, + { + "epoch": 0.785186688645633, + "grad_norm": 0.048095703125, + "learning_rate": 0.0005714451520871596, + "loss": 1.1579, + "step": 8946 + }, + { + "epoch": 0.7852744582285356, + "grad_norm": 0.0498046875, + "learning_rate": 0.0005711901320894224, + "loss": 1.1368, + "step": 8947 + }, + { + "epoch": 0.785362227811438, + "grad_norm": 0.0498046875, + "learning_rate": 0.0005709352185659504, + "loss": 1.0869, + "step": 8948 + }, + { + "epoch": 0.7854499973943405, + "grad_norm": 0.046142578125, + "learning_rate": 0.0005706804115419027, + "loss": 1.1871, + "step": 8949 + }, + { + "epoch": 0.785537766977243, + "grad_norm": 0.04833984375, + "learning_rate": 0.0005704257110424278, + "loss": 1.1747, + "step": 8950 + }, + { + "epoch": 0.7856255365601454, + "grad_norm": 0.050537109375, + "learning_rate": 0.0005701711170926635, + "loss": 1.1055, + "step": 8951 + }, + { + "epoch": 0.785713306143048, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005699166297177374, + "loss": 1.1589, + "step": 8952 + }, + { + "epoch": 0.7858010757259505, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005696622489427665, + "loss": 1.1669, + "step": 8953 + }, + { + "epoch": 0.785888845308853, + "grad_norm": 0.04638671875, + "learning_rate": 0.0005694079747928565, + "loss": 1.1098, + "step": 8954 + }, + { + "epoch": 0.7859766148917554, + "grad_norm": 0.059326171875, + "learning_rate": 0.0005691538072931039, + "loss": 1.2223, + "step": 8955 + }, + { + "epoch": 0.7860643844746579, + "grad_norm": 0.05419921875, + "learning_rate": 0.0005688997464685937, + "loss": 1.151, + "step": 8956 + }, + { + "epoch": 0.7861521540575603, + "grad_norm": 0.0546875, + "learning_rate": 0.0005686457923444014, + "loss": 1.086, + "step": 8957 + }, + { + "epoch": 0.7862399236404629, + "grad_norm": 0.055419921875, + "learning_rate": 0.00056839194494559, + "loss": 1.118, + "step": 8958 + }, + { + "epoch": 0.7863276932233654, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005681382042972138, + "loss": 1.1427, + "step": 8959 + }, + { + "epoch": 0.7864154628062678, + "grad_norm": 0.046142578125, + "learning_rate": 0.0005678845704243165, + "loss": 1.1143, + "step": 8960 + }, + { + "epoch": 0.7865032323891703, + "grad_norm": 0.061767578125, + "learning_rate": 0.0005676310433519306, + "loss": 1.179, + "step": 8961 + }, + { + "epoch": 0.7865910019720728, + "grad_norm": 0.06103515625, + "learning_rate": 0.0005673776231050778, + "loss": 1.2031, + "step": 8962 + }, + { + "epoch": 0.7866787715549753, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005671243097087698, + "loss": 1.1817, + "step": 8963 + }, + { + "epoch": 0.7867665411378778, + "grad_norm": 0.047607421875, + "learning_rate": 0.0005668711031880077, + "loss": 1.162, + "step": 8964 + }, + { + "epoch": 0.7868543107207803, + "grad_norm": 0.048095703125, + "learning_rate": 0.0005666180035677822, + "loss": 1.1508, + "step": 8965 + }, + { + "epoch": 0.7869420803036827, + "grad_norm": 0.064453125, + "learning_rate": 0.0005663650108730728, + "loss": 1.1568, + "step": 8966 + }, + { + "epoch": 0.7870298498865852, + "grad_norm": 0.052978515625, + "learning_rate": 0.0005661121251288492, + "loss": 1.1954, + "step": 8967 + }, + { + "epoch": 0.7871176194694878, + "grad_norm": 0.095703125, + "learning_rate": 0.00056585934636007, + "loss": 1.1566, + "step": 8968 + }, + { + "epoch": 0.7872053890523902, + "grad_norm": 0.04833984375, + "learning_rate": 0.0005656066745916837, + "loss": 1.1391, + "step": 8969 + }, + { + "epoch": 0.7872931586352927, + "grad_norm": 0.055908203125, + "learning_rate": 0.0005653541098486278, + "loss": 1.1338, + "step": 8970 + }, + { + "epoch": 0.7873809282181952, + "grad_norm": 0.056396484375, + "learning_rate": 0.0005651016521558294, + "loss": 1.1456, + "step": 8971 + }, + { + "epoch": 0.7874686978010976, + "grad_norm": 0.06298828125, + "learning_rate": 0.0005648493015382054, + "loss": 1.093, + "step": 8972 + }, + { + "epoch": 0.7875564673840002, + "grad_norm": 0.053466796875, + "learning_rate": 0.000564597058020662, + "loss": 1.0946, + "step": 8973 + }, + { + "epoch": 0.7876442369669027, + "grad_norm": 0.055419921875, + "learning_rate": 0.0005643449216280938, + "loss": 1.114, + "step": 8974 + }, + { + "epoch": 0.7877320065498051, + "grad_norm": 0.044189453125, + "learning_rate": 0.0005640928923853859, + "loss": 1.1166, + "step": 8975 + }, + { + "epoch": 0.7878197761327076, + "grad_norm": 0.047119140625, + "learning_rate": 0.000563840970317413, + "loss": 1.1709, + "step": 8976 + }, + { + "epoch": 0.7879075457156101, + "grad_norm": 0.056396484375, + "learning_rate": 0.0005635891554490391, + "loss": 1.1168, + "step": 8977 + }, + { + "epoch": 0.7879953152985126, + "grad_norm": 0.060791015625, + "learning_rate": 0.0005633374478051165, + "loss": 1.1582, + "step": 8978 + }, + { + "epoch": 0.7880830848814151, + "grad_norm": 0.0732421875, + "learning_rate": 0.0005630858474104874, + "loss": 1.1707, + "step": 8979 + }, + { + "epoch": 0.7881708544643176, + "grad_norm": 0.057861328125, + "learning_rate": 0.0005628343542899855, + "loss": 1.1654, + "step": 8980 + }, + { + "epoch": 0.78825862404722, + "grad_norm": 0.0478515625, + "learning_rate": 0.0005625829684684306, + "loss": 1.1088, + "step": 8981 + }, + { + "epoch": 0.7883463936301225, + "grad_norm": 0.0478515625, + "learning_rate": 0.0005623316899706341, + "loss": 1.1514, + "step": 8982 + }, + { + "epoch": 0.788434163213025, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005620805188213961, + "loss": 1.1086, + "step": 8983 + }, + { + "epoch": 0.7885219327959275, + "grad_norm": 0.04931640625, + "learning_rate": 0.0005618294550455066, + "loss": 1.1266, + "step": 8984 + }, + { + "epoch": 0.78860970237883, + "grad_norm": 0.05419921875, + "learning_rate": 0.0005615784986677438, + "loss": 1.1967, + "step": 8985 + }, + { + "epoch": 0.7886974719617325, + "grad_norm": 0.07421875, + "learning_rate": 0.0005613276497128766, + "loss": 1.1246, + "step": 8986 + }, + { + "epoch": 0.7887852415446349, + "grad_norm": 0.057861328125, + "learning_rate": 0.0005610769082056627, + "loss": 1.1034, + "step": 8987 + }, + { + "epoch": 0.7888730111275374, + "grad_norm": 0.046630859375, + "learning_rate": 0.0005608262741708492, + "loss": 1.1201, + "step": 8988 + }, + { + "epoch": 0.78896078071044, + "grad_norm": 0.046875, + "learning_rate": 0.0005605757476331729, + "loss": 1.143, + "step": 8989 + }, + { + "epoch": 0.7890485502933424, + "grad_norm": 0.057373046875, + "learning_rate": 0.0005603253286173595, + "loss": 1.1463, + "step": 8990 + }, + { + "epoch": 0.7891363198762449, + "grad_norm": 0.05810546875, + "learning_rate": 0.0005600750171481248, + "loss": 1.0934, + "step": 8991 + }, + { + "epoch": 0.7892240894591473, + "grad_norm": 0.05126953125, + "learning_rate": 0.0005598248132501734, + "loss": 1.1333, + "step": 8992 + }, + { + "epoch": 0.7893118590420498, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005595747169481991, + "loss": 1.1286, + "step": 8993 + }, + { + "epoch": 0.7893996286249524, + "grad_norm": 0.05859375, + "learning_rate": 0.0005593247282668856, + "loss": 1.2306, + "step": 8994 + }, + { + "epoch": 0.7894873982078549, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005590748472309059, + "loss": 1.1688, + "step": 8995 + }, + { + "epoch": 0.7895751677907573, + "grad_norm": 0.04541015625, + "learning_rate": 0.0005588250738649226, + "loss": 1.1168, + "step": 8996 + }, + { + "epoch": 0.7896629373736598, + "grad_norm": 0.04736328125, + "learning_rate": 0.0005585754081935864, + "loss": 1.1813, + "step": 8997 + }, + { + "epoch": 0.7897507069565622, + "grad_norm": 0.046630859375, + "learning_rate": 0.0005583258502415391, + "loss": 1.1295, + "step": 8998 + }, + { + "epoch": 0.7898384765394648, + "grad_norm": 0.05810546875, + "learning_rate": 0.0005580764000334103, + "loss": 1.1088, + "step": 8999 + }, + { + "epoch": 0.7899262461223673, + "grad_norm": 0.0576171875, + "learning_rate": 0.0005578270575938212, + "loss": 1.1384, + "step": 9000 + }, + { + "epoch": 0.7899262461223673, + "eval_loss": 1.137856125831604, + "eval_runtime": 437.8028, + "eval_samples_per_second": 33.668, + "eval_steps_per_second": 8.417, + "step": 9000 + }, + { + "epoch": 0.7900140157052697, + "grad_norm": 0.055908203125, + "learning_rate": 0.0005575778229473794, + "loss": 1.227, + "step": 9001 + }, + { + "epoch": 0.7901017852881722, + "grad_norm": 0.045654296875, + "learning_rate": 0.000557328696118684, + "loss": 1.1171, + "step": 9002 + }, + { + "epoch": 0.7901895548710747, + "grad_norm": 0.046142578125, + "learning_rate": 0.000557079677132323, + "loss": 1.148, + "step": 9003 + }, + { + "epoch": 0.7902773244539772, + "grad_norm": 0.046142578125, + "learning_rate": 0.0005568307660128736, + "loss": 1.1277, + "step": 9004 + }, + { + "epoch": 0.7903650940368797, + "grad_norm": 0.04638671875, + "learning_rate": 0.0005565819627849019, + "loss": 1.1717, + "step": 9005 + }, + { + "epoch": 0.7904528636197822, + "grad_norm": 0.057373046875, + "learning_rate": 0.0005563332674729641, + "loss": 1.1228, + "step": 9006 + }, + { + "epoch": 0.7905406332026846, + "grad_norm": 0.076171875, + "learning_rate": 0.0005560846801016052, + "loss": 1.2144, + "step": 9007 + }, + { + "epoch": 0.7906284027855871, + "grad_norm": 0.048095703125, + "learning_rate": 0.0005558362006953605, + "loss": 1.1107, + "step": 9008 + }, + { + "epoch": 0.7907161723684896, + "grad_norm": 0.04736328125, + "learning_rate": 0.0005555878292787528, + "loss": 1.1852, + "step": 9009 + }, + { + "epoch": 0.7908039419513921, + "grad_norm": 0.045166015625, + "learning_rate": 0.0005553395658762958, + "loss": 1.1522, + "step": 9010 + }, + { + "epoch": 0.7908917115342946, + "grad_norm": 0.044189453125, + "learning_rate": 0.0005550914105124924, + "loss": 1.1175, + "step": 9011 + }, + { + "epoch": 0.7909794811171971, + "grad_norm": 0.05322265625, + "learning_rate": 0.0005548433632118351, + "loss": 1.1853, + "step": 9012 + }, + { + "epoch": 0.7910672507000995, + "grad_norm": 0.046875, + "learning_rate": 0.0005545954239988042, + "loss": 1.1439, + "step": 9013 + }, + { + "epoch": 0.791155020283002, + "grad_norm": 0.04541015625, + "learning_rate": 0.0005543475928978704, + "loss": 1.1348, + "step": 9014 + }, + { + "epoch": 0.7912427898659046, + "grad_norm": 0.049560546875, + "learning_rate": 0.0005540998699334942, + "loss": 1.2028, + "step": 9015 + }, + { + "epoch": 0.791330559448807, + "grad_norm": 0.045166015625, + "learning_rate": 0.0005538522551301247, + "loss": 1.1125, + "step": 9016 + }, + { + "epoch": 0.7914183290317095, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005536047485122001, + "loss": 1.0944, + "step": 9017 + }, + { + "epoch": 0.791506098614612, + "grad_norm": 0.0615234375, + "learning_rate": 0.0005533573501041487, + "loss": 1.1213, + "step": 9018 + }, + { + "epoch": 0.7915938681975144, + "grad_norm": 0.05126953125, + "learning_rate": 0.0005531100599303876, + "loss": 1.1804, + "step": 9019 + }, + { + "epoch": 0.791681637780417, + "grad_norm": 0.04638671875, + "learning_rate": 0.0005528628780153232, + "loss": 1.1444, + "step": 9020 + }, + { + "epoch": 0.7917694073633195, + "grad_norm": 0.0517578125, + "learning_rate": 0.0005526158043833518, + "loss": 1.1417, + "step": 9021 + }, + { + "epoch": 0.7918571769462219, + "grad_norm": 0.0458984375, + "learning_rate": 0.0005523688390588582, + "loss": 1.1723, + "step": 9022 + }, + { + "epoch": 0.7919449465291244, + "grad_norm": 0.051513671875, + "learning_rate": 0.0005521219820662174, + "loss": 1.1644, + "step": 9023 + }, + { + "epoch": 0.7920327161120269, + "grad_norm": 0.051513671875, + "learning_rate": 0.0005518752334297929, + "loss": 1.1404, + "step": 9024 + }, + { + "epoch": 0.7921204856949294, + "grad_norm": 0.06591796875, + "learning_rate": 0.0005516285931739377, + "loss": 1.149, + "step": 9025 + }, + { + "epoch": 0.7922082552778319, + "grad_norm": 0.057373046875, + "learning_rate": 0.0005513820613229941, + "loss": 1.1354, + "step": 9026 + }, + { + "epoch": 0.7922960248607344, + "grad_norm": 0.0458984375, + "learning_rate": 0.0005511356379012943, + "loss": 1.1133, + "step": 9027 + }, + { + "epoch": 0.7923837944436368, + "grad_norm": 0.04931640625, + "learning_rate": 0.0005508893229331591, + "loss": 1.195, + "step": 9028 + }, + { + "epoch": 0.7924715640265393, + "grad_norm": 0.052001953125, + "learning_rate": 0.0005506431164428987, + "loss": 1.1454, + "step": 9029 + }, + { + "epoch": 0.7925593336094419, + "grad_norm": 0.04833984375, + "learning_rate": 0.0005503970184548122, + "loss": 1.0942, + "step": 9030 + }, + { + "epoch": 0.7926471031923443, + "grad_norm": 0.060546875, + "learning_rate": 0.0005501510289931898, + "loss": 1.1718, + "step": 9031 + }, + { + "epoch": 0.7927348727752468, + "grad_norm": 0.0693359375, + "learning_rate": 0.0005499051480823087, + "loss": 1.1282, + "step": 9032 + }, + { + "epoch": 0.7928226423581493, + "grad_norm": 0.0595703125, + "learning_rate": 0.0005496593757464367, + "loss": 1.0991, + "step": 9033 + }, + { + "epoch": 0.7929104119410517, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005494137120098302, + "loss": 1.1465, + "step": 9034 + }, + { + "epoch": 0.7929981815239543, + "grad_norm": 0.04931640625, + "learning_rate": 0.0005491681568967361, + "loss": 1.1394, + "step": 9035 + }, + { + "epoch": 0.7930859511068568, + "grad_norm": 0.054931640625, + "learning_rate": 0.0005489227104313888, + "loss": 1.1009, + "step": 9036 + }, + { + "epoch": 0.7931737206897592, + "grad_norm": 0.058349609375, + "learning_rate": 0.0005486773726380131, + "loss": 1.1412, + "step": 9037 + }, + { + "epoch": 0.7932614902726617, + "grad_norm": 0.06298828125, + "learning_rate": 0.0005484321435408231, + "loss": 1.1032, + "step": 9038 + }, + { + "epoch": 0.7933492598555641, + "grad_norm": 0.052001953125, + "learning_rate": 0.0005481870231640218, + "loss": 1.1568, + "step": 9039 + }, + { + "epoch": 0.7934370294384666, + "grad_norm": 0.060791015625, + "learning_rate": 0.0005479420115318017, + "loss": 1.1301, + "step": 9040 + }, + { + "epoch": 0.7935247990213692, + "grad_norm": 0.056640625, + "learning_rate": 0.0005476971086683444, + "loss": 1.1536, + "step": 9041 + }, + { + "epoch": 0.7936125686042717, + "grad_norm": 0.05126953125, + "learning_rate": 0.0005474523145978209, + "loss": 1.112, + "step": 9042 + }, + { + "epoch": 0.7937003381871741, + "grad_norm": 0.05419921875, + "learning_rate": 0.0005472076293443918, + "loss": 1.1446, + "step": 9043 + }, + { + "epoch": 0.7937881077700766, + "grad_norm": 0.046875, + "learning_rate": 0.0005469630529322056, + "loss": 1.2182, + "step": 9044 + }, + { + "epoch": 0.793875877352979, + "grad_norm": 0.05126953125, + "learning_rate": 0.0005467185853854019, + "loss": 1.2243, + "step": 9045 + }, + { + "epoch": 0.7939636469358816, + "grad_norm": 0.06103515625, + "learning_rate": 0.0005464742267281082, + "loss": 1.1167, + "step": 9046 + }, + { + "epoch": 0.7940514165187841, + "grad_norm": 0.051025390625, + "learning_rate": 0.0005462299769844422, + "loss": 1.1355, + "step": 9047 + }, + { + "epoch": 0.7941391861016865, + "grad_norm": 0.0556640625, + "learning_rate": 0.0005459858361785097, + "loss": 1.2568, + "step": 9048 + }, + { + "epoch": 0.794226955684589, + "grad_norm": 0.05078125, + "learning_rate": 0.0005457418043344069, + "loss": 1.2059, + "step": 9049 + }, + { + "epoch": 0.7943147252674915, + "grad_norm": 0.049560546875, + "learning_rate": 0.0005454978814762181, + "loss": 1.187, + "step": 9050 + }, + { + "epoch": 0.794402494850394, + "grad_norm": 0.056884765625, + "learning_rate": 0.0005452540676280192, + "loss": 1.1619, + "step": 9051 + }, + { + "epoch": 0.7944902644332965, + "grad_norm": 0.0693359375, + "learning_rate": 0.0005450103628138718, + "loss": 1.1557, + "step": 9052 + }, + { + "epoch": 0.794578034016199, + "grad_norm": 0.051025390625, + "learning_rate": 0.0005447667670578296, + "loss": 1.1786, + "step": 9053 + }, + { + "epoch": 0.7946658035991014, + "grad_norm": 0.052490234375, + "learning_rate": 0.0005445232803839344, + "loss": 1.1862, + "step": 9054 + }, + { + "epoch": 0.7947535731820039, + "grad_norm": 0.052490234375, + "learning_rate": 0.0005442799028162176, + "loss": 1.1316, + "step": 9055 + }, + { + "epoch": 0.7948413427649065, + "grad_norm": 0.0458984375, + "learning_rate": 0.0005440366343786987, + "loss": 1.1795, + "step": 9056 + }, + { + "epoch": 0.7949291123478089, + "grad_norm": 0.0556640625, + "learning_rate": 0.0005437934750953879, + "loss": 1.1893, + "step": 9057 + }, + { + "epoch": 0.7950168819307114, + "grad_norm": 0.06396484375, + "learning_rate": 0.0005435504249902842, + "loss": 1.1657, + "step": 9058 + }, + { + "epoch": 0.7951046515136139, + "grad_norm": 0.04541015625, + "learning_rate": 0.0005433074840873759, + "loss": 1.1465, + "step": 9059 + }, + { + "epoch": 0.7951924210965163, + "grad_norm": 0.052490234375, + "learning_rate": 0.0005430646524106393, + "loss": 1.1439, + "step": 9060 + }, + { + "epoch": 0.7952801906794189, + "grad_norm": 0.04443359375, + "learning_rate": 0.0005428219299840421, + "loss": 1.128, + "step": 9061 + }, + { + "epoch": 0.7953679602623214, + "grad_norm": 0.04736328125, + "learning_rate": 0.0005425793168315392, + "loss": 1.1418, + "step": 9062 + }, + { + "epoch": 0.7954557298452238, + "grad_norm": 0.054443359375, + "learning_rate": 0.0005423368129770763, + "loss": 1.2153, + "step": 9063 + }, + { + "epoch": 0.7955434994281263, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005420944184445869, + "loss": 1.1169, + "step": 9064 + }, + { + "epoch": 0.7956312690110288, + "grad_norm": 0.06494140625, + "learning_rate": 0.0005418521332579946, + "loss": 1.205, + "step": 9065 + }, + { + "epoch": 0.7957190385939312, + "grad_norm": 0.045654296875, + "learning_rate": 0.000541609957441212, + "loss": 1.145, + "step": 9066 + }, + { + "epoch": 0.7958068081768338, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005413678910181413, + "loss": 1.1264, + "step": 9067 + }, + { + "epoch": 0.7958945777597363, + "grad_norm": 0.049560546875, + "learning_rate": 0.0005411259340126729, + "loss": 1.1575, + "step": 9068 + }, + { + "epoch": 0.7959823473426387, + "grad_norm": 0.0537109375, + "learning_rate": 0.000540884086448687, + "loss": 1.2104, + "step": 9069 + }, + { + "epoch": 0.7960701169255412, + "grad_norm": 0.047607421875, + "learning_rate": 0.0005406423483500534, + "loss": 1.1376, + "step": 9070 + }, + { + "epoch": 0.7961578865084437, + "grad_norm": 0.055908203125, + "learning_rate": 0.0005404007197406303, + "loss": 1.1375, + "step": 9071 + }, + { + "epoch": 0.7962456560913462, + "grad_norm": 0.05126953125, + "learning_rate": 0.000540159200644266, + "loss": 1.1307, + "step": 9072 + }, + { + "epoch": 0.7963334256742487, + "grad_norm": 0.06201171875, + "learning_rate": 0.0005399177910847968, + "loss": 1.142, + "step": 9073 + }, + { + "epoch": 0.7964211952571512, + "grad_norm": 0.048828125, + "learning_rate": 0.0005396764910860495, + "loss": 1.155, + "step": 9074 + }, + { + "epoch": 0.7965089648400536, + "grad_norm": 0.0517578125, + "learning_rate": 0.0005394353006718394, + "loss": 1.1354, + "step": 9075 + }, + { + "epoch": 0.7965967344229561, + "grad_norm": 0.0517578125, + "learning_rate": 0.0005391942198659707, + "loss": 1.1179, + "step": 9076 + }, + { + "epoch": 0.7966845040058587, + "grad_norm": 0.046875, + "learning_rate": 0.0005389532486922372, + "loss": 1.1472, + "step": 9077 + }, + { + "epoch": 0.7967722735887611, + "grad_norm": 0.049560546875, + "learning_rate": 0.0005387123871744218, + "loss": 1.1302, + "step": 9078 + }, + { + "epoch": 0.7968600431716636, + "grad_norm": 0.052490234375, + "learning_rate": 0.000538471635336297, + "loss": 1.2193, + "step": 9079 + }, + { + "epoch": 0.796947812754566, + "grad_norm": 0.05810546875, + "learning_rate": 0.000538230993201623, + "loss": 1.1597, + "step": 9080 + }, + { + "epoch": 0.7970355823374685, + "grad_norm": 0.047607421875, + "learning_rate": 0.0005379904607941512, + "loss": 1.1847, + "step": 9081 + }, + { + "epoch": 0.7971233519203711, + "grad_norm": 0.05322265625, + "learning_rate": 0.0005377500381376213, + "loss": 1.1711, + "step": 9082 + }, + { + "epoch": 0.7972111215032736, + "grad_norm": 0.053955078125, + "learning_rate": 0.0005375097252557614, + "loss": 1.1891, + "step": 9083 + }, + { + "epoch": 0.797298891086176, + "grad_norm": 0.052490234375, + "learning_rate": 0.0005372695221722897, + "loss": 1.1764, + "step": 9084 + }, + { + "epoch": 0.7973866606690785, + "grad_norm": 0.047607421875, + "learning_rate": 0.0005370294289109134, + "loss": 1.1586, + "step": 9085 + }, + { + "epoch": 0.797474430251981, + "grad_norm": 0.048828125, + "learning_rate": 0.0005367894454953289, + "loss": 1.1514, + "step": 9086 + }, + { + "epoch": 0.7975621998348835, + "grad_norm": 0.053466796875, + "learning_rate": 0.000536549571949221, + "loss": 1.1282, + "step": 9087 + }, + { + "epoch": 0.797649969417786, + "grad_norm": 0.0576171875, + "learning_rate": 0.0005363098082962646, + "loss": 1.1461, + "step": 9088 + }, + { + "epoch": 0.7977377390006885, + "grad_norm": 0.053466796875, + "learning_rate": 0.0005360701545601235, + "loss": 1.191, + "step": 9089 + }, + { + "epoch": 0.7978255085835909, + "grad_norm": 0.044189453125, + "learning_rate": 0.0005358306107644507, + "loss": 1.077, + "step": 9090 + }, + { + "epoch": 0.7979132781664934, + "grad_norm": 0.0517578125, + "learning_rate": 0.000535591176932888, + "loss": 1.1277, + "step": 9091 + }, + { + "epoch": 0.798001047749396, + "grad_norm": 0.04931640625, + "learning_rate": 0.0005353518530890665, + "loss": 1.0981, + "step": 9092 + }, + { + "epoch": 0.7980888173322984, + "grad_norm": 0.048828125, + "learning_rate": 0.0005351126392566069, + "loss": 1.0893, + "step": 9093 + }, + { + "epoch": 0.7981765869152009, + "grad_norm": 0.06787109375, + "learning_rate": 0.0005348735354591186, + "loss": 1.1438, + "step": 9094 + }, + { + "epoch": 0.7982643564981033, + "grad_norm": 0.051025390625, + "learning_rate": 0.0005346345417201997, + "loss": 1.1964, + "step": 9095 + }, + { + "epoch": 0.7983521260810058, + "grad_norm": 0.06005859375, + "learning_rate": 0.0005343956580634383, + "loss": 1.1232, + "step": 9096 + }, + { + "epoch": 0.7984398956639083, + "grad_norm": 0.049072265625, + "learning_rate": 0.0005341568845124112, + "loss": 1.1293, + "step": 9097 + }, + { + "epoch": 0.7985276652468108, + "grad_norm": 0.0546875, + "learning_rate": 0.0005339182210906846, + "loss": 1.1216, + "step": 9098 + }, + { + "epoch": 0.7986154348297133, + "grad_norm": 0.05615234375, + "learning_rate": 0.0005336796678218134, + "loss": 1.1566, + "step": 9099 + }, + { + "epoch": 0.7987032044126158, + "grad_norm": 0.05126953125, + "learning_rate": 0.0005334412247293414, + "loss": 1.18, + "step": 9100 + }, + { + "epoch": 0.7987909739955182, + "grad_norm": 0.048095703125, + "learning_rate": 0.0005332028918368031, + "loss": 1.1337, + "step": 9101 + }, + { + "epoch": 0.7988787435784207, + "grad_norm": 0.057373046875, + "learning_rate": 0.0005329646691677205, + "loss": 1.1198, + "step": 9102 + }, + { + "epoch": 0.7989665131613233, + "grad_norm": 0.06201171875, + "learning_rate": 0.0005327265567456049, + "loss": 1.1243, + "step": 9103 + }, + { + "epoch": 0.7990542827442257, + "grad_norm": 0.0517578125, + "learning_rate": 0.0005324885545939574, + "loss": 1.1611, + "step": 9104 + }, + { + "epoch": 0.7991420523271282, + "grad_norm": 0.0478515625, + "learning_rate": 0.0005322506627362676, + "loss": 1.1392, + "step": 9105 + }, + { + "epoch": 0.7992298219100307, + "grad_norm": 0.045166015625, + "learning_rate": 0.0005320128811960152, + "loss": 1.1007, + "step": 9106 + }, + { + "epoch": 0.7993175914929331, + "grad_norm": 0.04833984375, + "learning_rate": 0.0005317752099966675, + "loss": 1.1194, + "step": 9107 + }, + { + "epoch": 0.7994053610758357, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005315376491616819, + "loss": 1.1035, + "step": 9108 + }, + { + "epoch": 0.7994931306587382, + "grad_norm": 0.053466796875, + "learning_rate": 0.0005313001987145047, + "loss": 1.158, + "step": 9109 + }, + { + "epoch": 0.7995809002416406, + "grad_norm": 0.053955078125, + "learning_rate": 0.0005310628586785715, + "loss": 1.165, + "step": 9110 + }, + { + "epoch": 0.7996686698245431, + "grad_norm": 0.05517578125, + "learning_rate": 0.0005308256290773066, + "loss": 1.2244, + "step": 9111 + }, + { + "epoch": 0.7997564394074456, + "grad_norm": 0.04833984375, + "learning_rate": 0.0005305885099341239, + "loss": 1.1386, + "step": 9112 + }, + { + "epoch": 0.7998442089903481, + "grad_norm": 0.05078125, + "learning_rate": 0.0005303515012724261, + "loss": 1.1317, + "step": 9113 + }, + { + "epoch": 0.7999319785732506, + "grad_norm": 0.059814453125, + "learning_rate": 0.000530114603115605, + "loss": 1.1596, + "step": 9114 + }, + { + "epoch": 0.8000197481561531, + "grad_norm": 0.05615234375, + "learning_rate": 0.0005298778154870413, + "loss": 1.1014, + "step": 9115 + }, + { + "epoch": 0.8001075177390555, + "grad_norm": 0.054443359375, + "learning_rate": 0.000529641138410105, + "loss": 1.112, + "step": 9116 + }, + { + "epoch": 0.800195287321958, + "grad_norm": 0.058837890625, + "learning_rate": 0.0005294045719081551, + "loss": 1.1368, + "step": 9117 + }, + { + "epoch": 0.8002830569048606, + "grad_norm": 0.04736328125, + "learning_rate": 0.0005291681160045405, + "loss": 1.169, + "step": 9118 + }, + { + "epoch": 0.800370826487763, + "grad_norm": 0.0458984375, + "learning_rate": 0.0005289317707225977, + "loss": 1.1842, + "step": 9119 + }, + { + "epoch": 0.8004585960706655, + "grad_norm": 0.048583984375, + "learning_rate": 0.0005286955360856528, + "loss": 1.1687, + "step": 9120 + }, + { + "epoch": 0.800546365653568, + "grad_norm": 0.04443359375, + "learning_rate": 0.0005284594121170224, + "loss": 1.0765, + "step": 9121 + }, + { + "epoch": 0.8006341352364704, + "grad_norm": 0.052490234375, + "learning_rate": 0.00052822339884001, + "loss": 1.1148, + "step": 9122 + }, + { + "epoch": 0.8007219048193729, + "grad_norm": 0.049072265625, + "learning_rate": 0.0005279874962779096, + "loss": 1.1028, + "step": 9123 + }, + { + "epoch": 0.8008096744022755, + "grad_norm": 0.05126953125, + "learning_rate": 0.0005277517044540036, + "loss": 1.1567, + "step": 9124 + }, + { + "epoch": 0.8008974439851779, + "grad_norm": 0.048095703125, + "learning_rate": 0.0005275160233915638, + "loss": 1.1724, + "step": 9125 + }, + { + "epoch": 0.8009852135680804, + "grad_norm": 0.05419921875, + "learning_rate": 0.0005272804531138515, + "loss": 1.1334, + "step": 9126 + }, + { + "epoch": 0.8010729831509829, + "grad_norm": 0.05078125, + "learning_rate": 0.0005270449936441158, + "loss": 1.1379, + "step": 9127 + }, + { + "epoch": 0.8011607527338853, + "grad_norm": 0.055419921875, + "learning_rate": 0.0005268096450055959, + "loss": 1.1433, + "step": 9128 + }, + { + "epoch": 0.8012485223167879, + "grad_norm": 0.049072265625, + "learning_rate": 0.0005265744072215197, + "loss": 1.1502, + "step": 9129 + }, + { + "epoch": 0.8013362918996904, + "grad_norm": 0.04541015625, + "learning_rate": 0.0005263392803151046, + "loss": 1.1294, + "step": 9130 + }, + { + "epoch": 0.8014240614825928, + "grad_norm": 0.0458984375, + "learning_rate": 0.0005261042643095561, + "loss": 1.1032, + "step": 9131 + }, + { + "epoch": 0.8015118310654953, + "grad_norm": 0.0498046875, + "learning_rate": 0.0005258693592280697, + "loss": 1.1825, + "step": 9132 + }, + { + "epoch": 0.8015996006483977, + "grad_norm": 0.050537109375, + "learning_rate": 0.00052563456509383, + "loss": 1.1561, + "step": 9133 + }, + { + "epoch": 0.8016873702313003, + "grad_norm": 0.0556640625, + "learning_rate": 0.0005253998819300095, + "loss": 1.1731, + "step": 9134 + }, + { + "epoch": 0.8017751398142028, + "grad_norm": 0.05126953125, + "learning_rate": 0.0005251653097597709, + "loss": 1.1745, + "step": 9135 + }, + { + "epoch": 0.8018629093971053, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005249308486062654, + "loss": 1.0354, + "step": 9136 + }, + { + "epoch": 0.8019506789800077, + "grad_norm": 0.047119140625, + "learning_rate": 0.0005246964984926338, + "loss": 1.1606, + "step": 9137 + }, + { + "epoch": 0.8020384485629102, + "grad_norm": 0.052001953125, + "learning_rate": 0.000524462259442005, + "loss": 1.1721, + "step": 9138 + }, + { + "epoch": 0.8021262181458128, + "grad_norm": 0.05224609375, + "learning_rate": 0.0005242281314774976, + "loss": 1.225, + "step": 9139 + }, + { + "epoch": 0.8022139877287152, + "grad_norm": 0.051513671875, + "learning_rate": 0.000523994114622219, + "loss": 1.1347, + "step": 9140 + }, + { + "epoch": 0.8023017573116177, + "grad_norm": 0.05712890625, + "learning_rate": 0.0005237602088992661, + "loss": 1.1451, + "step": 9141 + }, + { + "epoch": 0.8023895268945201, + "grad_norm": 0.056884765625, + "learning_rate": 0.0005235264143317242, + "loss": 1.1548, + "step": 9142 + }, + { + "epoch": 0.8024772964774226, + "grad_norm": 0.056640625, + "learning_rate": 0.0005232927309426679, + "loss": 1.1654, + "step": 9143 + }, + { + "epoch": 0.8025650660603252, + "grad_norm": 0.064453125, + "learning_rate": 0.0005230591587551611, + "loss": 1.1732, + "step": 9144 + }, + { + "epoch": 0.8026528356432276, + "grad_norm": 0.0478515625, + "learning_rate": 0.0005228256977922565, + "loss": 1.1644, + "step": 9145 + }, + { + "epoch": 0.8027406052261301, + "grad_norm": 0.049560546875, + "learning_rate": 0.0005225923480769952, + "loss": 1.1104, + "step": 9146 + }, + { + "epoch": 0.8028283748090326, + "grad_norm": 0.054931640625, + "learning_rate": 0.0005223591096324082, + "loss": 1.1375, + "step": 9147 + }, + { + "epoch": 0.802916144391935, + "grad_norm": 0.046630859375, + "learning_rate": 0.0005221259824815151, + "loss": 1.1243, + "step": 9148 + }, + { + "epoch": 0.8030039139748376, + "grad_norm": 0.0693359375, + "learning_rate": 0.0005218929666473253, + "loss": 1.1871, + "step": 9149 + }, + { + "epoch": 0.8030916835577401, + "grad_norm": 0.056640625, + "learning_rate": 0.0005216600621528355, + "loss": 1.1607, + "step": 9150 + }, + { + "epoch": 0.8031794531406425, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005214272690210328, + "loss": 1.1671, + "step": 9151 + }, + { + "epoch": 0.803267222723545, + "grad_norm": 0.04638671875, + "learning_rate": 0.0005211945872748931, + "loss": 1.0958, + "step": 9152 + }, + { + "epoch": 0.8033549923064475, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005209620169373819, + "loss": 1.055, + "step": 9153 + }, + { + "epoch": 0.8034427618893499, + "grad_norm": 0.045166015625, + "learning_rate": 0.0005207295580314516, + "loss": 1.1125, + "step": 9154 + }, + { + "epoch": 0.8035305314722525, + "grad_norm": 0.0732421875, + "learning_rate": 0.0005204972105800458, + "loss": 1.1623, + "step": 9155 + }, + { + "epoch": 0.803618301055155, + "grad_norm": 0.054443359375, + "learning_rate": 0.0005202649746060961, + "loss": 1.1364, + "step": 9156 + }, + { + "epoch": 0.8037060706380574, + "grad_norm": 0.04345703125, + "learning_rate": 0.0005200328501325235, + "loss": 1.0546, + "step": 9157 + }, + { + "epoch": 0.8037938402209599, + "grad_norm": 0.051513671875, + "learning_rate": 0.0005198008371822374, + "loss": 1.1576, + "step": 9158 + }, + { + "epoch": 0.8038816098038624, + "grad_norm": 0.052490234375, + "learning_rate": 0.0005195689357781366, + "loss": 1.1762, + "step": 9159 + }, + { + "epoch": 0.8039693793867649, + "grad_norm": 0.050048828125, + "learning_rate": 0.0005193371459431088, + "loss": 1.1866, + "step": 9160 + }, + { + "epoch": 0.8040571489696674, + "grad_norm": 0.047607421875, + "learning_rate": 0.000519105467700031, + "loss": 1.1453, + "step": 9161 + }, + { + "epoch": 0.8041449185525699, + "grad_norm": 0.052001953125, + "learning_rate": 0.0005188739010717688, + "loss": 1.1806, + "step": 9162 + }, + { + "epoch": 0.8042326881354723, + "grad_norm": 0.052734375, + "learning_rate": 0.000518642446081177, + "loss": 1.1276, + "step": 9163 + }, + { + "epoch": 0.8043204577183748, + "grad_norm": 0.052001953125, + "learning_rate": 0.0005184111027510992, + "loss": 1.167, + "step": 9164 + }, + { + "epoch": 0.8044082273012774, + "grad_norm": 0.056884765625, + "learning_rate": 0.0005181798711043683, + "loss": 1.1271, + "step": 9165 + }, + { + "epoch": 0.8044959968841798, + "grad_norm": 0.051025390625, + "learning_rate": 0.0005179487511638055, + "loss": 1.1251, + "step": 9166 + }, + { + "epoch": 0.8045837664670823, + "grad_norm": 0.048583984375, + "learning_rate": 0.0005177177429522216, + "loss": 1.126, + "step": 9167 + }, + { + "epoch": 0.8046715360499848, + "grad_norm": 0.044921875, + "learning_rate": 0.0005174868464924164, + "loss": 1.0961, + "step": 9168 + }, + { + "epoch": 0.8047593056328872, + "grad_norm": 0.04541015625, + "learning_rate": 0.0005172560618071784, + "loss": 1.13, + "step": 9169 + }, + { + "epoch": 0.8048470752157898, + "grad_norm": 0.044921875, + "learning_rate": 0.000517025388919285, + "loss": 1.0778, + "step": 9170 + }, + { + "epoch": 0.8049348447986923, + "grad_norm": 0.053466796875, + "learning_rate": 0.0005167948278515022, + "loss": 1.1504, + "step": 9171 + }, + { + "epoch": 0.8050226143815947, + "grad_norm": 0.0673828125, + "learning_rate": 0.0005165643786265867, + "loss": 1.1051, + "step": 9172 + }, + { + "epoch": 0.8051103839644972, + "grad_norm": 0.05029296875, + "learning_rate": 0.0005163340412672821, + "loss": 1.1957, + "step": 9173 + }, + { + "epoch": 0.8051981535473997, + "grad_norm": 0.04931640625, + "learning_rate": 0.0005161038157963221, + "loss": 1.1336, + "step": 9174 + }, + { + "epoch": 0.8052859231303022, + "grad_norm": 0.061767578125, + "learning_rate": 0.0005158737022364284, + "loss": 1.1472, + "step": 9175 + }, + { + "epoch": 0.8053736927132047, + "grad_norm": 0.0439453125, + "learning_rate": 0.0005156437006103133, + "loss": 1.1258, + "step": 9176 + }, + { + "epoch": 0.8054614622961072, + "grad_norm": 0.06689453125, + "learning_rate": 0.0005154138109406763, + "loss": 1.1292, + "step": 9177 + }, + { + "epoch": 0.8055492318790096, + "grad_norm": 0.049072265625, + "learning_rate": 0.0005151840332502068, + "loss": 1.1918, + "step": 9178 + }, + { + "epoch": 0.8056370014619121, + "grad_norm": 0.08837890625, + "learning_rate": 0.000514954367561583, + "loss": 1.1488, + "step": 9179 + }, + { + "epoch": 0.8057247710448145, + "grad_norm": 0.0625, + "learning_rate": 0.0005147248138974719, + "loss": 1.1525, + "step": 9180 + }, + { + "epoch": 0.8058125406277171, + "grad_norm": 0.04638671875, + "learning_rate": 0.0005144953722805296, + "loss": 1.1173, + "step": 9181 + }, + { + "epoch": 0.8059003102106196, + "grad_norm": 0.0478515625, + "learning_rate": 0.0005142660427334011, + "loss": 1.1576, + "step": 9182 + }, + { + "epoch": 0.805988079793522, + "grad_norm": 0.054443359375, + "learning_rate": 0.0005140368252787203, + "loss": 1.1719, + "step": 9183 + }, + { + "epoch": 0.8060758493764245, + "grad_norm": 0.061279296875, + "learning_rate": 0.0005138077199391103, + "loss": 1.0829, + "step": 9184 + }, + { + "epoch": 0.806163618959327, + "grad_norm": 0.04736328125, + "learning_rate": 0.0005135787267371826, + "loss": 1.2137, + "step": 9185 + }, + { + "epoch": 0.8062513885422296, + "grad_norm": 0.050537109375, + "learning_rate": 0.0005133498456955378, + "loss": 1.1431, + "step": 9186 + }, + { + "epoch": 0.806339158125132, + "grad_norm": 0.045166015625, + "learning_rate": 0.0005131210768367657, + "loss": 1.1098, + "step": 9187 + }, + { + "epoch": 0.8064269277080345, + "grad_norm": 0.050048828125, + "learning_rate": 0.0005128924201834453, + "loss": 1.1274, + "step": 9188 + }, + { + "epoch": 0.8065146972909369, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005126638757581433, + "loss": 1.0879, + "step": 9189 + }, + { + "epoch": 0.8066024668738394, + "grad_norm": 0.048828125, + "learning_rate": 0.0005124354435834167, + "loss": 1.1796, + "step": 9190 + }, + { + "epoch": 0.806690236456742, + "grad_norm": 0.046142578125, + "learning_rate": 0.0005122071236818102, + "loss": 1.1503, + "step": 9191 + }, + { + "epoch": 0.8067780060396444, + "grad_norm": 0.0478515625, + "learning_rate": 0.0005119789160758595, + "loss": 1.1695, + "step": 9192 + }, + { + "epoch": 0.8068657756225469, + "grad_norm": 0.045166015625, + "learning_rate": 0.0005117508207880863, + "loss": 1.1298, + "step": 9193 + }, + { + "epoch": 0.8069535452054494, + "grad_norm": 0.055908203125, + "learning_rate": 0.0005115228378410033, + "loss": 1.1224, + "step": 9194 + }, + { + "epoch": 0.8070413147883518, + "grad_norm": 0.046630859375, + "learning_rate": 0.0005112949672571115, + "loss": 1.1256, + "step": 9195 + }, + { + "epoch": 0.8071290843712544, + "grad_norm": 0.056396484375, + "learning_rate": 0.0005110672090589011, + "loss": 1.1734, + "step": 9196 + }, + { + "epoch": 0.8072168539541569, + "grad_norm": 0.06494140625, + "learning_rate": 0.0005108395632688504, + "loss": 1.1133, + "step": 9197 + }, + { + "epoch": 0.8073046235370593, + "grad_norm": 0.052734375, + "learning_rate": 0.0005106120299094274, + "loss": 1.1568, + "step": 9198 + }, + { + "epoch": 0.8073923931199618, + "grad_norm": 0.048583984375, + "learning_rate": 0.0005103846090030886, + "loss": 1.1556, + "step": 9199 + }, + { + "epoch": 0.8074801627028643, + "grad_norm": 0.042236328125, + "learning_rate": 0.00051015730057228, + "loss": 1.1108, + "step": 9200 + }, + { + "epoch": 0.8075679322857668, + "grad_norm": 0.05078125, + "learning_rate": 0.0005099301046394352, + "loss": 1.1654, + "step": 9201 + }, + { + "epoch": 0.8076557018686693, + "grad_norm": 0.05224609375, + "learning_rate": 0.0005097030212269781, + "loss": 1.1495, + "step": 9202 + }, + { + "epoch": 0.8077434714515718, + "grad_norm": 0.048095703125, + "learning_rate": 0.0005094760503573211, + "loss": 1.1387, + "step": 9203 + }, + { + "epoch": 0.8078312410344742, + "grad_norm": 0.051025390625, + "learning_rate": 0.0005092491920528654, + "loss": 1.1227, + "step": 9204 + }, + { + "epoch": 0.8079190106173767, + "grad_norm": 0.051513671875, + "learning_rate": 0.0005090224463360003, + "loss": 1.16, + "step": 9205 + }, + { + "epoch": 0.8080067802002792, + "grad_norm": 0.0537109375, + "learning_rate": 0.0005087958132291051, + "loss": 1.1642, + "step": 9206 + }, + { + "epoch": 0.8080945497831817, + "grad_norm": 0.05859375, + "learning_rate": 0.0005085692927545478, + "loss": 1.136, + "step": 9207 + }, + { + "epoch": 0.8081823193660842, + "grad_norm": 0.054443359375, + "learning_rate": 0.000508342884934685, + "loss": 1.115, + "step": 9208 + }, + { + "epoch": 0.8082700889489867, + "grad_norm": 0.047607421875, + "learning_rate": 0.0005081165897918619, + "loss": 1.185, + "step": 9209 + }, + { + "epoch": 0.8083578585318891, + "grad_norm": 0.048583984375, + "learning_rate": 0.0005078904073484132, + "loss": 1.1221, + "step": 9210 + }, + { + "epoch": 0.8084456281147916, + "grad_norm": 0.054443359375, + "learning_rate": 0.0005076643376266623, + "loss": 1.1809, + "step": 9211 + }, + { + "epoch": 0.8085333976976942, + "grad_norm": 0.059326171875, + "learning_rate": 0.0005074383806489212, + "loss": 1.1315, + "step": 9212 + }, + { + "epoch": 0.8086211672805966, + "grad_norm": 0.048828125, + "learning_rate": 0.0005072125364374908, + "loss": 1.1556, + "step": 9213 + }, + { + "epoch": 0.8087089368634991, + "grad_norm": 0.044677734375, + "learning_rate": 0.0005069868050146618, + "loss": 1.1457, + "step": 9214 + }, + { + "epoch": 0.8087967064464016, + "grad_norm": 0.04833984375, + "learning_rate": 0.000506761186402712, + "loss": 1.0863, + "step": 9215 + }, + { + "epoch": 0.808884476029304, + "grad_norm": 0.051513671875, + "learning_rate": 0.00050653568062391, + "loss": 1.1771, + "step": 9216 + }, + { + "epoch": 0.8089722456122066, + "grad_norm": 0.0712890625, + "learning_rate": 0.0005063102877005117, + "loss": 1.1611, + "step": 9217 + }, + { + "epoch": 0.8090600151951091, + "grad_norm": 0.057373046875, + "learning_rate": 0.0005060850076547623, + "loss": 1.1667, + "step": 9218 + }, + { + "epoch": 0.8091477847780115, + "grad_norm": 0.04736328125, + "learning_rate": 0.0005058598405088969, + "loss": 1.2018, + "step": 9219 + }, + { + "epoch": 0.809235554360914, + "grad_norm": 0.060546875, + "learning_rate": 0.0005056347862851379, + "loss": 1.1314, + "step": 9220 + }, + { + "epoch": 0.8093233239438165, + "grad_norm": 0.045166015625, + "learning_rate": 0.0005054098450056971, + "loss": 1.1171, + "step": 9221 + }, + { + "epoch": 0.809411093526719, + "grad_norm": 0.05126953125, + "learning_rate": 0.0005051850166927759, + "loss": 1.1424, + "step": 9222 + }, + { + "epoch": 0.8094988631096215, + "grad_norm": 0.051025390625, + "learning_rate": 0.0005049603013685642, + "loss": 1.1792, + "step": 9223 + }, + { + "epoch": 0.809586632692524, + "grad_norm": 0.05859375, + "learning_rate": 0.0005047356990552397, + "loss": 1.1418, + "step": 9224 + }, + { + "epoch": 0.8096744022754264, + "grad_norm": 0.058837890625, + "learning_rate": 0.0005045112097749702, + "loss": 1.1035, + "step": 9225 + }, + { + "epoch": 0.8097621718583289, + "grad_norm": 0.047607421875, + "learning_rate": 0.0005042868335499118, + "loss": 1.1591, + "step": 9226 + }, + { + "epoch": 0.8098499414412315, + "grad_norm": 0.047607421875, + "learning_rate": 0.0005040625704022096, + "loss": 1.1358, + "step": 9227 + }, + { + "epoch": 0.8099377110241339, + "grad_norm": 0.045654296875, + "learning_rate": 0.0005038384203539974, + "loss": 1.1534, + "step": 9228 + }, + { + "epoch": 0.8100254806070364, + "grad_norm": 0.046630859375, + "learning_rate": 0.000503614383427398, + "loss": 1.1313, + "step": 9229 + }, + { + "epoch": 0.8101132501899388, + "grad_norm": 0.0546875, + "learning_rate": 0.0005033904596445227, + "loss": 1.1608, + "step": 9230 + }, + { + "epoch": 0.8102010197728413, + "grad_norm": 0.044189453125, + "learning_rate": 0.0005031666490274724, + "loss": 1.1194, + "step": 9231 + }, + { + "epoch": 0.8102887893557439, + "grad_norm": 0.04638671875, + "learning_rate": 0.0005029429515983359, + "loss": 1.1638, + "step": 9232 + }, + { + "epoch": 0.8103765589386464, + "grad_norm": 0.04833984375, + "learning_rate": 0.0005027193673791915, + "loss": 1.144, + "step": 9233 + }, + { + "epoch": 0.8104643285215488, + "grad_norm": 0.05322265625, + "learning_rate": 0.000502495896392106, + "loss": 1.199, + "step": 9234 + }, + { + "epoch": 0.8105520981044513, + "grad_norm": 0.051513671875, + "learning_rate": 0.0005022725386591352, + "loss": 1.1318, + "step": 9235 + }, + { + "epoch": 0.8106398676873537, + "grad_norm": 0.042724609375, + "learning_rate": 0.0005020492942023234, + "loss": 1.1008, + "step": 9236 + }, + { + "epoch": 0.8107276372702562, + "grad_norm": 0.046142578125, + "learning_rate": 0.0005018261630437039, + "loss": 1.1348, + "step": 9237 + }, + { + "epoch": 0.8108154068531588, + "grad_norm": 0.047119140625, + "learning_rate": 0.000501603145205299, + "loss": 1.1459, + "step": 9238 + }, + { + "epoch": 0.8109031764360612, + "grad_norm": 0.04736328125, + "learning_rate": 0.0005013802407091201, + "loss": 1.1858, + "step": 9239 + }, + { + "epoch": 0.8109909460189637, + "grad_norm": 0.053466796875, + "learning_rate": 0.0005011574495771662, + "loss": 1.2639, + "step": 9240 + }, + { + "epoch": 0.8110787156018662, + "grad_norm": 0.055419921875, + "learning_rate": 0.0005009347718314261, + "loss": 1.1292, + "step": 9241 + }, + { + "epoch": 0.8111664851847686, + "grad_norm": 0.046142578125, + "learning_rate": 0.0005007122074938777, + "loss": 1.1613, + "step": 9242 + }, + { + "epoch": 0.8112542547676712, + "grad_norm": 0.046630859375, + "learning_rate": 0.000500489756586487, + "loss": 1.1701, + "step": 9243 + }, + { + "epoch": 0.8113420243505737, + "grad_norm": 0.048583984375, + "learning_rate": 0.0005002674191312088, + "loss": 1.1788, + "step": 9244 + }, + { + "epoch": 0.8114297939334761, + "grad_norm": 0.04736328125, + "learning_rate": 0.0005000451951499871, + "loss": 1.1164, + "step": 9245 + }, + { + "epoch": 0.8115175635163786, + "grad_norm": 0.0439453125, + "learning_rate": 0.0004998230846647545, + "loss": 1.1005, + "step": 9246 + }, + { + "epoch": 0.8116053330992811, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004996010876974328, + "loss": 1.1737, + "step": 9247 + }, + { + "epoch": 0.8116931026821836, + "grad_norm": 0.058349609375, + "learning_rate": 0.0004993792042699314, + "loss": 1.1325, + "step": 9248 + }, + { + "epoch": 0.8117808722650861, + "grad_norm": 0.04541015625, + "learning_rate": 0.0004991574344041497, + "loss": 1.1588, + "step": 9249 + }, + { + "epoch": 0.8118686418479886, + "grad_norm": 0.046142578125, + "learning_rate": 0.0004989357781219756, + "loss": 1.1691, + "step": 9250 + }, + { + "epoch": 0.811956411430891, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004987142354452861, + "loss": 1.1891, + "step": 9251 + }, + { + "epoch": 0.8120441810137935, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004984928063959453, + "loss": 1.0909, + "step": 9252 + }, + { + "epoch": 0.8121319505966961, + "grad_norm": 0.048828125, + "learning_rate": 0.0004982714909958089, + "loss": 1.1129, + "step": 9253 + }, + { + "epoch": 0.8122197201795985, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004980502892667189, + "loss": 1.1848, + "step": 9254 + }, + { + "epoch": 0.812307489762501, + "grad_norm": 0.044921875, + "learning_rate": 0.0004978292012305077, + "loss": 1.0914, + "step": 9255 + }, + { + "epoch": 0.8123952593454035, + "grad_norm": 0.042724609375, + "learning_rate": 0.000497608226908995, + "loss": 1.0911, + "step": 9256 + }, + { + "epoch": 0.8124830289283059, + "grad_norm": 0.0458984375, + "learning_rate": 0.0004973873663239906, + "loss": 1.1424, + "step": 9257 + }, + { + "epoch": 0.8125707985112085, + "grad_norm": 0.052490234375, + "learning_rate": 0.0004971666194972926, + "loss": 1.1301, + "step": 9258 + }, + { + "epoch": 0.812658568094111, + "grad_norm": 0.052978515625, + "learning_rate": 0.000496945986450688, + "loss": 1.1518, + "step": 9259 + }, + { + "epoch": 0.8127463376770134, + "grad_norm": 0.058349609375, + "learning_rate": 0.0004967254672059517, + "loss": 1.1348, + "step": 9260 + }, + { + "epoch": 0.8128341072599159, + "grad_norm": 0.046630859375, + "learning_rate": 0.0004965050617848487, + "loss": 1.1305, + "step": 9261 + }, + { + "epoch": 0.8129218768428184, + "grad_norm": 0.0654296875, + "learning_rate": 0.0004962847702091317, + "loss": 1.2002, + "step": 9262 + }, + { + "epoch": 0.8130096464257208, + "grad_norm": 0.058837890625, + "learning_rate": 0.000496064592500543, + "loss": 1.0933, + "step": 9263 + }, + { + "epoch": 0.8130974160086234, + "grad_norm": 0.06201171875, + "learning_rate": 0.0004958445286808132, + "loss": 1.1787, + "step": 9264 + }, + { + "epoch": 0.8131851855915259, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004956245787716616, + "loss": 1.1523, + "step": 9265 + }, + { + "epoch": 0.8132729551744283, + "grad_norm": 0.05517578125, + "learning_rate": 0.0004954047427947963, + "loss": 1.0948, + "step": 9266 + }, + { + "epoch": 0.8133607247573308, + "grad_norm": 0.048095703125, + "learning_rate": 0.0004951850207719149, + "loss": 1.1293, + "step": 9267 + }, + { + "epoch": 0.8134484943402333, + "grad_norm": 0.04443359375, + "learning_rate": 0.0004949654127247022, + "loss": 1.1337, + "step": 9268 + }, + { + "epoch": 0.8135362639231358, + "grad_norm": 0.052734375, + "learning_rate": 0.000494745918674833, + "loss": 1.19, + "step": 9269 + }, + { + "epoch": 0.8136240335060383, + "grad_norm": 0.048583984375, + "learning_rate": 0.0004945265386439706, + "loss": 1.1657, + "step": 9270 + }, + { + "epoch": 0.8137118030889408, + "grad_norm": 0.045166015625, + "learning_rate": 0.0004943072726537671, + "loss": 1.1703, + "step": 9271 + }, + { + "epoch": 0.8137995726718432, + "grad_norm": 0.052001953125, + "learning_rate": 0.0004940881207258622, + "loss": 1.1373, + "step": 9272 + }, + { + "epoch": 0.8138873422547457, + "grad_norm": 0.05029296875, + "learning_rate": 0.0004938690828818865, + "loss": 1.1332, + "step": 9273 + }, + { + "epoch": 0.8139751118376483, + "grad_norm": 0.050537109375, + "learning_rate": 0.0004936501591434581, + "loss": 1.111, + "step": 9274 + }, + { + "epoch": 0.8140628814205507, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004934313495321832, + "loss": 1.1197, + "step": 9275 + }, + { + "epoch": 0.8141506510034532, + "grad_norm": 0.048828125, + "learning_rate": 0.0004932126540696577, + "loss": 1.1471, + "step": 9276 + }, + { + "epoch": 0.8142384205863556, + "grad_norm": 0.043212890625, + "learning_rate": 0.0004929940727774661, + "loss": 1.1183, + "step": 9277 + }, + { + "epoch": 0.8143261901692581, + "grad_norm": 0.050537109375, + "learning_rate": 0.0004927756056771818, + "loss": 1.1524, + "step": 9278 + }, + { + "epoch": 0.8144139597521607, + "grad_norm": 0.04833984375, + "learning_rate": 0.000492557252790366, + "loss": 1.1279, + "step": 9279 + }, + { + "epoch": 0.8145017293350632, + "grad_norm": 0.050048828125, + "learning_rate": 0.0004923390141385697, + "loss": 1.1465, + "step": 9280 + }, + { + "epoch": 0.8145894989179656, + "grad_norm": 0.04541015625, + "learning_rate": 0.0004921208897433319, + "loss": 1.0831, + "step": 9281 + }, + { + "epoch": 0.8146772685008681, + "grad_norm": 0.051513671875, + "learning_rate": 0.0004919028796261809, + "loss": 1.1769, + "step": 9282 + }, + { + "epoch": 0.8147650380837705, + "grad_norm": 0.043701171875, + "learning_rate": 0.0004916849838086332, + "loss": 1.085, + "step": 9283 + }, + { + "epoch": 0.8148528076666731, + "grad_norm": 0.044677734375, + "learning_rate": 0.0004914672023121945, + "loss": 1.1509, + "step": 9284 + }, + { + "epoch": 0.8149405772495756, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004912495351583588, + "loss": 1.1553, + "step": 9285 + }, + { + "epoch": 0.815028346832478, + "grad_norm": 0.045654296875, + "learning_rate": 0.0004910319823686094, + "loss": 1.1426, + "step": 9286 + }, + { + "epoch": 0.8151161164153805, + "grad_norm": 0.045166015625, + "learning_rate": 0.000490814543964417, + "loss": 1.1452, + "step": 9287 + }, + { + "epoch": 0.815203885998283, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004905972199672427, + "loss": 1.1796, + "step": 9288 + }, + { + "epoch": 0.8152916555811855, + "grad_norm": 0.0498046875, + "learning_rate": 0.0004903800103985352, + "loss": 1.1054, + "step": 9289 + }, + { + "epoch": 0.815379425164088, + "grad_norm": 0.044921875, + "learning_rate": 0.0004901629152797327, + "loss": 1.1386, + "step": 9290 + }, + { + "epoch": 0.8154671947469905, + "grad_norm": 0.050537109375, + "learning_rate": 0.0004899459346322607, + "loss": 1.1624, + "step": 9291 + }, + { + "epoch": 0.8155549643298929, + "grad_norm": 0.051025390625, + "learning_rate": 0.0004897290684775346, + "loss": 1.1791, + "step": 9292 + }, + { + "epoch": 0.8156427339127954, + "grad_norm": 0.04833984375, + "learning_rate": 0.0004895123168369589, + "loss": 1.1799, + "step": 9293 + }, + { + "epoch": 0.8157305034956979, + "grad_norm": 0.046875, + "learning_rate": 0.0004892956797319259, + "loss": 1.1177, + "step": 9294 + }, + { + "epoch": 0.8158182730786004, + "grad_norm": 0.044921875, + "learning_rate": 0.0004890791571838163, + "loss": 1.1116, + "step": 9295 + }, + { + "epoch": 0.8159060426615029, + "grad_norm": 0.044921875, + "learning_rate": 0.0004888627492140005, + "loss": 1.126, + "step": 9296 + }, + { + "epoch": 0.8159938122444054, + "grad_norm": 0.0458984375, + "learning_rate": 0.0004886464558438369, + "loss": 1.143, + "step": 9297 + }, + { + "epoch": 0.8160815818273078, + "grad_norm": 0.048095703125, + "learning_rate": 0.000488430277094673, + "loss": 1.1287, + "step": 9298 + }, + { + "epoch": 0.8161693514102103, + "grad_norm": 0.047119140625, + "learning_rate": 0.00048821421298784454, + "loss": 1.1346, + "step": 9299 + }, + { + "epoch": 0.8162571209931129, + "grad_norm": 0.046875, + "learning_rate": 0.0004879982635446763, + "loss": 1.0995, + "step": 9300 + }, + { + "epoch": 0.8163448905760153, + "grad_norm": 0.045166015625, + "learning_rate": 0.00048778242878648155, + "loss": 1.0986, + "step": 9301 + }, + { + "epoch": 0.8164326601589178, + "grad_norm": 0.048095703125, + "learning_rate": 0.00048756670873456256, + "loss": 1.1638, + "step": 9302 + }, + { + "epoch": 0.8165204297418203, + "grad_norm": 0.04443359375, + "learning_rate": 0.0004873511034102097, + "loss": 1.1004, + "step": 9303 + }, + { + "epoch": 0.8166081993247227, + "grad_norm": 0.052978515625, + "learning_rate": 0.0004871356128347027, + "loss": 1.0876, + "step": 9304 + }, + { + "epoch": 0.8166959689076253, + "grad_norm": 0.046142578125, + "learning_rate": 0.0004869202370293094, + "loss": 1.1024, + "step": 9305 + }, + { + "epoch": 0.8167837384905278, + "grad_norm": 0.050048828125, + "learning_rate": 0.000486704976015287, + "loss": 1.17, + "step": 9306 + }, + { + "epoch": 0.8168715080734302, + "grad_norm": 0.048828125, + "learning_rate": 0.0004864898298138802, + "loss": 1.1716, + "step": 9307 + }, + { + "epoch": 0.8169592776563327, + "grad_norm": 0.052978515625, + "learning_rate": 0.0004862747984463234, + "loss": 1.1753, + "step": 9308 + }, + { + "epoch": 0.8170470472392352, + "grad_norm": 0.044677734375, + "learning_rate": 0.0004860598819338394, + "loss": 1.1196, + "step": 9309 + }, + { + "epoch": 0.8171348168221377, + "grad_norm": 0.060302734375, + "learning_rate": 0.00048584508029763995, + "loss": 1.1767, + "step": 9310 + }, + { + "epoch": 0.8172225864050402, + "grad_norm": 0.07080078125, + "learning_rate": 0.0004856303935589244, + "loss": 1.1554, + "step": 9311 + }, + { + "epoch": 0.8173103559879427, + "grad_norm": 0.08447265625, + "learning_rate": 0.0004854158217388815, + "loss": 1.184, + "step": 9312 + }, + { + "epoch": 0.8173981255708451, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004852013648586896, + "loss": 1.1078, + "step": 9313 + }, + { + "epoch": 0.8174858951537476, + "grad_norm": 0.061279296875, + "learning_rate": 0.0004849870229395137, + "loss": 1.1678, + "step": 9314 + }, + { + "epoch": 0.8175736647366502, + "grad_norm": 0.049560546875, + "learning_rate": 0.000484772796002509, + "loss": 1.1619, + "step": 9315 + }, + { + "epoch": 0.8176614343195526, + "grad_norm": 0.0615234375, + "learning_rate": 0.0004845586840688188, + "loss": 1.1484, + "step": 9316 + }, + { + "epoch": 0.8177492039024551, + "grad_norm": 0.047119140625, + "learning_rate": 0.00048434468715957495, + "loss": 1.1716, + "step": 9317 + }, + { + "epoch": 0.8178369734853576, + "grad_norm": 0.046142578125, + "learning_rate": 0.00048413080529589864, + "loss": 1.1005, + "step": 9318 + }, + { + "epoch": 0.81792474306826, + "grad_norm": 0.0693359375, + "learning_rate": 0.0004839170384988983, + "loss": 1.0901, + "step": 9319 + }, + { + "epoch": 0.8180125126511625, + "grad_norm": 0.05078125, + "learning_rate": 0.0004837033867896724, + "loss": 1.1537, + "step": 9320 + }, + { + "epoch": 0.8181002822340651, + "grad_norm": 0.05615234375, + "learning_rate": 0.0004834898501893074, + "loss": 1.1119, + "step": 9321 + }, + { + "epoch": 0.8181880518169675, + "grad_norm": 0.0458984375, + "learning_rate": 0.00048327642871887863, + "loss": 1.113, + "step": 9322 + }, + { + "epoch": 0.81827582139987, + "grad_norm": 0.0546875, + "learning_rate": 0.00048306312239944967, + "loss": 1.2455, + "step": 9323 + }, + { + "epoch": 0.8183635909827724, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004828499312520734, + "loss": 1.1536, + "step": 9324 + }, + { + "epoch": 0.8184513605656749, + "grad_norm": 0.049560546875, + "learning_rate": 0.00048263685529779075, + "loss": 1.1409, + "step": 9325 + }, + { + "epoch": 0.8185391301485775, + "grad_norm": 0.0517578125, + "learning_rate": 0.00048242389455763137, + "loss": 1.1356, + "step": 9326 + }, + { + "epoch": 0.81862689973148, + "grad_norm": 0.048583984375, + "learning_rate": 0.0004822110490526137, + "loss": 1.1511, + "step": 9327 + }, + { + "epoch": 0.8187146693143824, + "grad_norm": 0.057373046875, + "learning_rate": 0.0004819983188037448, + "loss": 1.1238, + "step": 9328 + }, + { + "epoch": 0.8188024388972849, + "grad_norm": 0.0498046875, + "learning_rate": 0.00048178570383202064, + "loss": 1.1728, + "step": 9329 + }, + { + "epoch": 0.8188902084801873, + "grad_norm": 0.0478515625, + "learning_rate": 0.00048157320415842465, + "loss": 1.1115, + "step": 9330 + }, + { + "epoch": 0.8189779780630899, + "grad_norm": 0.06005859375, + "learning_rate": 0.00048136081980393027, + "loss": 1.1469, + "step": 9331 + }, + { + "epoch": 0.8190657476459924, + "grad_norm": 0.0537109375, + "learning_rate": 0.0004811485507894985, + "loss": 1.1119, + "step": 9332 + }, + { + "epoch": 0.8191535172288948, + "grad_norm": 0.04736328125, + "learning_rate": 0.00048093639713608064, + "loss": 1.1426, + "step": 9333 + }, + { + "epoch": 0.8192412868117973, + "grad_norm": 0.047119140625, + "learning_rate": 0.00048072435886461416, + "loss": 1.1439, + "step": 9334 + }, + { + "epoch": 0.8193290563946998, + "grad_norm": 0.0703125, + "learning_rate": 0.000480512435996027, + "loss": 1.1627, + "step": 9335 + }, + { + "epoch": 0.8194168259776023, + "grad_norm": 0.055908203125, + "learning_rate": 0.0004803006285512349, + "loss": 1.1393, + "step": 9336 + }, + { + "epoch": 0.8195045955605048, + "grad_norm": 0.07080078125, + "learning_rate": 0.0004800889365511428, + "loss": 1.1539, + "step": 9337 + }, + { + "epoch": 0.8195923651434073, + "grad_norm": 0.045166015625, + "learning_rate": 0.0004798773600166433, + "loss": 1.1256, + "step": 9338 + }, + { + "epoch": 0.8196801347263097, + "grad_norm": 0.04541015625, + "learning_rate": 0.00047966589896861845, + "loss": 1.1581, + "step": 9339 + }, + { + "epoch": 0.8197679043092122, + "grad_norm": 0.0712890625, + "learning_rate": 0.00047945455342793855, + "loss": 1.1495, + "step": 9340 + }, + { + "epoch": 0.8198556738921148, + "grad_norm": 0.060546875, + "learning_rate": 0.0004792433234154629, + "loss": 1.1052, + "step": 9341 + }, + { + "epoch": 0.8199434434750172, + "grad_norm": 0.0546875, + "learning_rate": 0.0004790322089520382, + "loss": 1.1272, + "step": 9342 + }, + { + "epoch": 0.8200312130579197, + "grad_norm": 0.04931640625, + "learning_rate": 0.00047882121005850145, + "loss": 1.1583, + "step": 9343 + }, + { + "epoch": 0.8201189826408222, + "grad_norm": 0.0537109375, + "learning_rate": 0.00047861032675567707, + "loss": 1.2194, + "step": 9344 + }, + { + "epoch": 0.8202067522237246, + "grad_norm": 0.04736328125, + "learning_rate": 0.000478399559064379, + "loss": 1.1778, + "step": 9345 + }, + { + "epoch": 0.8202945218066271, + "grad_norm": 0.049072265625, + "learning_rate": 0.0004781889070054082, + "loss": 1.1187, + "step": 9346 + }, + { + "epoch": 0.8203822913895297, + "grad_norm": 0.060791015625, + "learning_rate": 0.0004779783705995556, + "loss": 1.1798, + "step": 9347 + }, + { + "epoch": 0.8204700609724321, + "grad_norm": 0.055419921875, + "learning_rate": 0.00047776794986760057, + "loss": 1.2195, + "step": 9348 + }, + { + "epoch": 0.8205578305553346, + "grad_norm": 0.052490234375, + "learning_rate": 0.00047755764483031077, + "loss": 1.1954, + "step": 9349 + }, + { + "epoch": 0.8206456001382371, + "grad_norm": 0.055419921875, + "learning_rate": 0.0004773474555084421, + "loss": 1.1612, + "step": 9350 + }, + { + "epoch": 0.8207333697211395, + "grad_norm": 0.060302734375, + "learning_rate": 0.00047713738192273946, + "loss": 1.1229, + "step": 9351 + }, + { + "epoch": 0.8208211393040421, + "grad_norm": 0.0625, + "learning_rate": 0.00047692742409393655, + "loss": 1.1118, + "step": 9352 + }, + { + "epoch": 0.8209089088869446, + "grad_norm": 0.0595703125, + "learning_rate": 0.0004767175820427552, + "loss": 1.2038, + "step": 9353 + }, + { + "epoch": 0.820996678469847, + "grad_norm": 0.0732421875, + "learning_rate": 0.00047650785578990615, + "loss": 1.1538, + "step": 9354 + }, + { + "epoch": 0.8210844480527495, + "grad_norm": 0.053466796875, + "learning_rate": 0.00047629824535608836, + "loss": 1.1044, + "step": 9355 + }, + { + "epoch": 0.821172217635652, + "grad_norm": 0.05322265625, + "learning_rate": 0.00047608875076198974, + "loss": 1.1103, + "step": 9356 + }, + { + "epoch": 0.8212599872185545, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004758793720282868, + "loss": 1.1381, + "step": 9357 + }, + { + "epoch": 0.821347756801457, + "grad_norm": 0.04736328125, + "learning_rate": 0.00047567010917564376, + "loss": 1.1365, + "step": 9358 + }, + { + "epoch": 0.8214355263843595, + "grad_norm": 0.0458984375, + "learning_rate": 0.0004754609622247142, + "loss": 1.0849, + "step": 9359 + }, + { + "epoch": 0.8215232959672619, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004752519311961404, + "loss": 1.1069, + "step": 9360 + }, + { + "epoch": 0.8216110655501644, + "grad_norm": 0.04931640625, + "learning_rate": 0.0004750430161105531, + "loss": 1.1356, + "step": 9361 + }, + { + "epoch": 0.821698835133067, + "grad_norm": 0.044921875, + "learning_rate": 0.0004748342169885703, + "loss": 1.1191, + "step": 9362 + }, + { + "epoch": 0.8217866047159694, + "grad_norm": 0.047119140625, + "learning_rate": 0.00047462553385080075, + "loss": 1.1051, + "step": 9363 + }, + { + "epoch": 0.8218743742988719, + "grad_norm": 0.0537109375, + "learning_rate": 0.00047441696671784056, + "loss": 1.1741, + "step": 9364 + }, + { + "epoch": 0.8219621438817744, + "grad_norm": 0.057861328125, + "learning_rate": 0.00047420851561027393, + "loss": 1.1361, + "step": 9365 + }, + { + "epoch": 0.8220499134646768, + "grad_norm": 0.0478515625, + "learning_rate": 0.00047400018054867435, + "loss": 1.1817, + "step": 9366 + }, + { + "epoch": 0.8221376830475794, + "grad_norm": 0.04931640625, + "learning_rate": 0.00047379196155360393, + "loss": 1.1199, + "step": 9367 + }, + { + "epoch": 0.8222254526304819, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004735838586456128, + "loss": 1.1059, + "step": 9368 + }, + { + "epoch": 0.8223132222133843, + "grad_norm": 0.047607421875, + "learning_rate": 0.00047337587184524015, + "loss": 1.1253, + "step": 9369 + }, + { + "epoch": 0.8224009917962868, + "grad_norm": 0.04736328125, + "learning_rate": 0.00047316800117301323, + "loss": 1.1424, + "step": 9370 + }, + { + "epoch": 0.8224887613791892, + "grad_norm": 0.047119140625, + "learning_rate": 0.0004729602466494479, + "loss": 1.1796, + "step": 9371 + }, + { + "epoch": 0.8225765309620918, + "grad_norm": 0.050537109375, + "learning_rate": 0.000472752608295049, + "loss": 1.1283, + "step": 9372 + }, + { + "epoch": 0.8226643005449943, + "grad_norm": 0.0458984375, + "learning_rate": 0.0004725450861303096, + "loss": 1.1749, + "step": 9373 + }, + { + "epoch": 0.8227520701278968, + "grad_norm": 0.04833984375, + "learning_rate": 0.00047233768017571114, + "loss": 1.16, + "step": 9374 + }, + { + "epoch": 0.8228398397107992, + "grad_norm": 0.056396484375, + "learning_rate": 0.00047213039045172387, + "loss": 1.1019, + "step": 9375 + }, + { + "epoch": 0.8229276092937017, + "grad_norm": 0.0537109375, + "learning_rate": 0.0004719232169788068, + "loss": 1.1412, + "step": 9376 + }, + { + "epoch": 0.8230153788766041, + "grad_norm": 0.049560546875, + "learning_rate": 0.0004717161597774065, + "loss": 1.1687, + "step": 9377 + }, + { + "epoch": 0.8231031484595067, + "grad_norm": 0.04541015625, + "learning_rate": 0.0004715092188679589, + "loss": 1.0412, + "step": 9378 + }, + { + "epoch": 0.8231909180424092, + "grad_norm": 0.05322265625, + "learning_rate": 0.00047130239427088845, + "loss": 1.1693, + "step": 9379 + }, + { + "epoch": 0.8232786876253116, + "grad_norm": 0.05029296875, + "learning_rate": 0.00047109568600660817, + "loss": 1.1064, + "step": 9380 + }, + { + "epoch": 0.8233664572082141, + "grad_norm": 0.044921875, + "learning_rate": 0.00047088909409551854, + "loss": 1.1454, + "step": 9381 + }, + { + "epoch": 0.8234542267911166, + "grad_norm": 0.051025390625, + "learning_rate": 0.0004706826185580099, + "loss": 1.1541, + "step": 9382 + }, + { + "epoch": 0.8235419963740191, + "grad_norm": 0.0517578125, + "learning_rate": 0.00047047625941446013, + "loss": 1.2286, + "step": 9383 + }, + { + "epoch": 0.8236297659569216, + "grad_norm": 0.052978515625, + "learning_rate": 0.0004702700166852371, + "loss": 1.1457, + "step": 9384 + }, + { + "epoch": 0.8237175355398241, + "grad_norm": 0.052734375, + "learning_rate": 0.0004700638903906952, + "loss": 1.1991, + "step": 9385 + }, + { + "epoch": 0.8238053051227265, + "grad_norm": 0.052490234375, + "learning_rate": 0.0004698578805511783, + "loss": 1.1624, + "step": 9386 + }, + { + "epoch": 0.823893074705629, + "grad_norm": 0.056640625, + "learning_rate": 0.00046965198718701927, + "loss": 1.1899, + "step": 9387 + }, + { + "epoch": 0.8239808442885316, + "grad_norm": 0.060302734375, + "learning_rate": 0.00046944621031853894, + "loss": 1.1198, + "step": 9388 + }, + { + "epoch": 0.824068613871434, + "grad_norm": 0.0546875, + "learning_rate": 0.0004692405499660461, + "loss": 1.1432, + "step": 9389 + }, + { + "epoch": 0.8241563834543365, + "grad_norm": 0.05078125, + "learning_rate": 0.00046903500614983886, + "loss": 1.1497, + "step": 9390 + }, + { + "epoch": 0.824244153037239, + "grad_norm": 0.056884765625, + "learning_rate": 0.00046882957889020376, + "loss": 1.2337, + "step": 9391 + }, + { + "epoch": 0.8243319226201414, + "grad_norm": 0.051025390625, + "learning_rate": 0.0004686242682074159, + "loss": 1.1307, + "step": 9392 + }, + { + "epoch": 0.824419692203044, + "grad_norm": 0.05126953125, + "learning_rate": 0.00046841907412173764, + "loss": 1.1619, + "step": 9393 + }, + { + "epoch": 0.8245074617859465, + "grad_norm": 0.04736328125, + "learning_rate": 0.00046821399665342194, + "loss": 1.1852, + "step": 9394 + }, + { + "epoch": 0.8245952313688489, + "grad_norm": 0.05029296875, + "learning_rate": 0.0004680090358227084, + "loss": 1.1414, + "step": 9395 + }, + { + "epoch": 0.8246830009517514, + "grad_norm": 0.046142578125, + "learning_rate": 0.00046780419164982654, + "loss": 1.0955, + "step": 9396 + }, + { + "epoch": 0.8247707705346539, + "grad_norm": 0.04736328125, + "learning_rate": 0.00046759946415499294, + "loss": 1.1488, + "step": 9397 + }, + { + "epoch": 0.8248585401175564, + "grad_norm": 0.057861328125, + "learning_rate": 0.0004673948533584138, + "loss": 1.1821, + "step": 9398 + }, + { + "epoch": 0.8249463097004589, + "grad_norm": 0.059326171875, + "learning_rate": 0.0004671903592802833, + "loss": 1.1903, + "step": 9399 + }, + { + "epoch": 0.8250340792833614, + "grad_norm": 0.047607421875, + "learning_rate": 0.00046698598194078444, + "loss": 1.1385, + "step": 9400 + }, + { + "epoch": 0.8251218488662638, + "grad_norm": 0.0458984375, + "learning_rate": 0.0004667817213600879, + "loss": 1.1571, + "step": 9401 + }, + { + "epoch": 0.8252096184491663, + "grad_norm": 0.0556640625, + "learning_rate": 0.00046657757755835376, + "loss": 1.1323, + "step": 9402 + }, + { + "epoch": 0.8252973880320688, + "grad_norm": 0.050048828125, + "learning_rate": 0.0004663735505557301, + "loss": 1.1569, + "step": 9403 + }, + { + "epoch": 0.8253851576149713, + "grad_norm": 0.045654296875, + "learning_rate": 0.0004661696403723536, + "loss": 1.1458, + "step": 9404 + }, + { + "epoch": 0.8254729271978738, + "grad_norm": 0.043701171875, + "learning_rate": 0.00046596584702834936, + "loss": 1.136, + "step": 9405 + }, + { + "epoch": 0.8255606967807763, + "grad_norm": 0.0556640625, + "learning_rate": 0.0004657621705438312, + "loss": 1.1251, + "step": 9406 + }, + { + "epoch": 0.8256484663636787, + "grad_norm": 0.048095703125, + "learning_rate": 0.00046555861093890095, + "loss": 1.1269, + "step": 9407 + }, + { + "epoch": 0.8257362359465812, + "grad_norm": 0.0576171875, + "learning_rate": 0.00046535516823364943, + "loss": 1.1497, + "step": 9408 + }, + { + "epoch": 0.8258240055294838, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004651518424481551, + "loss": 1.2032, + "step": 9409 + }, + { + "epoch": 0.8259117751123862, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004649486336024859, + "loss": 1.1792, + "step": 9410 + }, + { + "epoch": 0.8259995446952887, + "grad_norm": 0.054931640625, + "learning_rate": 0.0004647455417166974, + "loss": 1.1555, + "step": 9411 + }, + { + "epoch": 0.8260873142781912, + "grad_norm": 0.048828125, + "learning_rate": 0.00046454256681083446, + "loss": 1.1305, + "step": 9412 + }, + { + "epoch": 0.8261750838610936, + "grad_norm": 0.051513671875, + "learning_rate": 0.0004643397089049289, + "loss": 1.1378, + "step": 9413 + }, + { + "epoch": 0.8262628534439962, + "grad_norm": 0.050537109375, + "learning_rate": 0.00046413696801900304, + "loss": 1.1685, + "step": 9414 + }, + { + "epoch": 0.8263506230268987, + "grad_norm": 0.044677734375, + "learning_rate": 0.00046393434417306634, + "loss": 1.1149, + "step": 9415 + }, + { + "epoch": 0.8264383926098011, + "grad_norm": 0.05029296875, + "learning_rate": 0.0004637318373871166, + "loss": 1.1799, + "step": 9416 + }, + { + "epoch": 0.8265261621927036, + "grad_norm": 0.0458984375, + "learning_rate": 0.0004635294476811408, + "loss": 1.1454, + "step": 9417 + }, + { + "epoch": 0.826613931775606, + "grad_norm": 0.0517578125, + "learning_rate": 0.0004633271750751139, + "loss": 1.1528, + "step": 9418 + }, + { + "epoch": 0.8267017013585086, + "grad_norm": 0.052001953125, + "learning_rate": 0.0004631250195889993, + "loss": 1.1508, + "step": 9419 + }, + { + "epoch": 0.8267894709414111, + "grad_norm": 0.05078125, + "learning_rate": 0.00046292298124274927, + "loss": 1.1538, + "step": 9420 + }, + { + "epoch": 0.8268772405243136, + "grad_norm": 0.048828125, + "learning_rate": 0.0004627210600563038, + "loss": 1.0882, + "step": 9421 + }, + { + "epoch": 0.826965010107216, + "grad_norm": 0.051025390625, + "learning_rate": 0.00046251925604959173, + "loss": 1.105, + "step": 9422 + }, + { + "epoch": 0.8270527796901185, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004623175692425306, + "loss": 1.1177, + "step": 9423 + }, + { + "epoch": 0.827140549273021, + "grad_norm": 0.05126953125, + "learning_rate": 0.00046211599965502594, + "loss": 1.2445, + "step": 9424 + }, + { + "epoch": 0.8272283188559235, + "grad_norm": 0.048828125, + "learning_rate": 0.0004619145473069719, + "loss": 1.1468, + "step": 9425 + }, + { + "epoch": 0.827316088438826, + "grad_norm": 0.05859375, + "learning_rate": 0.000461713212218251, + "loss": 1.182, + "step": 9426 + }, + { + "epoch": 0.8274038580217284, + "grad_norm": 0.050537109375, + "learning_rate": 0.00046151199440873456, + "loss": 1.1593, + "step": 9427 + }, + { + "epoch": 0.8274916276046309, + "grad_norm": 0.044189453125, + "learning_rate": 0.0004613108938982813, + "loss": 1.0936, + "step": 9428 + }, + { + "epoch": 0.8275793971875335, + "grad_norm": 0.046142578125, + "learning_rate": 0.0004611099107067395, + "loss": 1.1584, + "step": 9429 + }, + { + "epoch": 0.827667166770436, + "grad_norm": 0.04833984375, + "learning_rate": 0.00046090904485394517, + "loss": 1.0985, + "step": 9430 + }, + { + "epoch": 0.8277549363533384, + "grad_norm": 0.0546875, + "learning_rate": 0.00046070829635972354, + "loss": 1.1076, + "step": 9431 + }, + { + "epoch": 0.8278427059362409, + "grad_norm": 0.06298828125, + "learning_rate": 0.00046050766524388686, + "loss": 1.1398, + "step": 9432 + }, + { + "epoch": 0.8279304755191433, + "grad_norm": 0.04443359375, + "learning_rate": 0.000460307151526237, + "loss": 1.14, + "step": 9433 + }, + { + "epoch": 0.8280182451020458, + "grad_norm": 0.047119140625, + "learning_rate": 0.0004601067552265639, + "loss": 1.1787, + "step": 9434 + }, + { + "epoch": 0.8281060146849484, + "grad_norm": 0.04638671875, + "learning_rate": 0.0004599064763646464, + "loss": 1.1504, + "step": 9435 + }, + { + "epoch": 0.8281937842678508, + "grad_norm": 0.051513671875, + "learning_rate": 0.0004597063149602502, + "loss": 1.2183, + "step": 9436 + }, + { + "epoch": 0.8282815538507533, + "grad_norm": 0.04736328125, + "learning_rate": 0.00045950627103313115, + "loss": 1.1221, + "step": 9437 + }, + { + "epoch": 0.8283693234336558, + "grad_norm": 0.04443359375, + "learning_rate": 0.0004593063446030325, + "loss": 1.0786, + "step": 9438 + }, + { + "epoch": 0.8284570930165582, + "grad_norm": 0.052734375, + "learning_rate": 0.0004591065356896867, + "loss": 1.1546, + "step": 9439 + }, + { + "epoch": 0.8285448625994608, + "grad_norm": 0.049072265625, + "learning_rate": 0.00045890684431281327, + "loss": 1.1136, + "step": 9440 + }, + { + "epoch": 0.8286326321823633, + "grad_norm": 0.0478515625, + "learning_rate": 0.00045870727049212147, + "loss": 1.16, + "step": 9441 + }, + { + "epoch": 0.8287204017652657, + "grad_norm": 0.04931640625, + "learning_rate": 0.0004585078142473083, + "loss": 1.1298, + "step": 9442 + }, + { + "epoch": 0.8288081713481682, + "grad_norm": 0.049560546875, + "learning_rate": 0.0004583084755980594, + "loss": 1.16, + "step": 9443 + }, + { + "epoch": 0.8288959409310707, + "grad_norm": 0.05322265625, + "learning_rate": 0.00045810925456404877, + "loss": 1.206, + "step": 9444 + }, + { + "epoch": 0.8289837105139732, + "grad_norm": 0.04833984375, + "learning_rate": 0.0004579101511649385, + "loss": 1.1888, + "step": 9445 + }, + { + "epoch": 0.8290714800968757, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004577111654203795, + "loss": 1.2021, + "step": 9446 + }, + { + "epoch": 0.8291592496797782, + "grad_norm": 0.049560546875, + "learning_rate": 0.00045751229735001113, + "loss": 1.075, + "step": 9447 + }, + { + "epoch": 0.8292470192626806, + "grad_norm": 0.047119140625, + "learning_rate": 0.0004573135469734603, + "loss": 1.1437, + "step": 9448 + }, + { + "epoch": 0.8293347888455831, + "grad_norm": 0.060302734375, + "learning_rate": 0.0004571149143103431, + "loss": 1.1174, + "step": 9449 + }, + { + "epoch": 0.8294225584284857, + "grad_norm": 0.0537109375, + "learning_rate": 0.0004569163993802638, + "loss": 1.1832, + "step": 9450 + }, + { + "epoch": 0.8295103280113881, + "grad_norm": 0.04541015625, + "learning_rate": 0.0004567180022028156, + "loss": 1.1571, + "step": 9451 + }, + { + "epoch": 0.8295980975942906, + "grad_norm": 0.0537109375, + "learning_rate": 0.0004565197227975785, + "loss": 1.1225, + "step": 9452 + }, + { + "epoch": 0.8296858671771931, + "grad_norm": 0.05029296875, + "learning_rate": 0.00045632156118412227, + "loss": 1.1656, + "step": 9453 + }, + { + "epoch": 0.8297736367600955, + "grad_norm": 0.046630859375, + "learning_rate": 0.0004561235173820052, + "loss": 1.1598, + "step": 9454 + }, + { + "epoch": 0.8298614063429981, + "grad_norm": 0.048095703125, + "learning_rate": 0.00045592559141077293, + "loss": 1.1415, + "step": 9455 + }, + { + "epoch": 0.8299491759259006, + "grad_norm": 0.044921875, + "learning_rate": 0.00045572778328995987, + "loss": 1.1484, + "step": 9456 + }, + { + "epoch": 0.830036945508803, + "grad_norm": 0.04541015625, + "learning_rate": 0.0004555300930390893, + "loss": 1.1808, + "step": 9457 + }, + { + "epoch": 0.8301247150917055, + "grad_norm": 0.05419921875, + "learning_rate": 0.0004553325206776723, + "loss": 1.1848, + "step": 9458 + }, + { + "epoch": 0.830212484674608, + "grad_norm": 0.04931640625, + "learning_rate": 0.0004551350662252084, + "loss": 1.1633, + "step": 9459 + }, + { + "epoch": 0.8303002542575104, + "grad_norm": 0.048828125, + "learning_rate": 0.0004549377297011856, + "loss": 1.1793, + "step": 9460 + }, + { + "epoch": 0.830388023840413, + "grad_norm": 0.056640625, + "learning_rate": 0.00045474051112508017, + "loss": 1.1732, + "step": 9461 + }, + { + "epoch": 0.8304757934233155, + "grad_norm": 0.04296875, + "learning_rate": 0.000454543410516357, + "loss": 1.0652, + "step": 9462 + }, + { + "epoch": 0.8305635630062179, + "grad_norm": 0.04443359375, + "learning_rate": 0.000454346427894469, + "loss": 1.1463, + "step": 9463 + }, + { + "epoch": 0.8306513325891204, + "grad_norm": 0.05078125, + "learning_rate": 0.00045414956327885747, + "loss": 1.164, + "step": 9464 + }, + { + "epoch": 0.8307391021720228, + "grad_norm": 0.04931640625, + "learning_rate": 0.0004539528166889524, + "loss": 1.1562, + "step": 9465 + }, + { + "epoch": 0.8308268717549254, + "grad_norm": 0.0478515625, + "learning_rate": 0.000453756188144172, + "loss": 1.186, + "step": 9466 + }, + { + "epoch": 0.8309146413378279, + "grad_norm": 0.044921875, + "learning_rate": 0.0004535596776639224, + "loss": 1.1028, + "step": 9467 + }, + { + "epoch": 0.8310024109207303, + "grad_norm": 0.04833984375, + "learning_rate": 0.00045336328526759847, + "loss": 1.1901, + "step": 9468 + }, + { + "epoch": 0.8310901805036328, + "grad_norm": 0.0478515625, + "learning_rate": 0.00045316701097458336, + "loss": 1.1502, + "step": 9469 + }, + { + "epoch": 0.8311779500865353, + "grad_norm": 0.06103515625, + "learning_rate": 0.0004529708548042487, + "loss": 1.161, + "step": 9470 + }, + { + "epoch": 0.8312657196694379, + "grad_norm": 0.05029296875, + "learning_rate": 0.00045277481677595457, + "loss": 1.1026, + "step": 9471 + }, + { + "epoch": 0.8313534892523403, + "grad_norm": 0.04833984375, + "learning_rate": 0.00045257889690904863, + "loss": 1.1435, + "step": 9472 + }, + { + "epoch": 0.8314412588352428, + "grad_norm": 0.046142578125, + "learning_rate": 0.00045238309522286713, + "loss": 1.1375, + "step": 9473 + }, + { + "epoch": 0.8315290284181452, + "grad_norm": 0.0478515625, + "learning_rate": 0.0004521874117367361, + "loss": 1.1023, + "step": 9474 + }, + { + "epoch": 0.8316167980010477, + "grad_norm": 0.051513671875, + "learning_rate": 0.0004519918464699678, + "loss": 1.1544, + "step": 9475 + }, + { + "epoch": 0.8317045675839503, + "grad_norm": 0.06201171875, + "learning_rate": 0.0004517963994418639, + "loss": 1.2107, + "step": 9476 + }, + { + "epoch": 0.8317923371668527, + "grad_norm": 0.0478515625, + "learning_rate": 0.00045160107067171413, + "loss": 1.176, + "step": 9477 + }, + { + "epoch": 0.8318801067497552, + "grad_norm": 0.05078125, + "learning_rate": 0.0004514058601787973, + "loss": 1.1176, + "step": 9478 + }, + { + "epoch": 0.8319678763326577, + "grad_norm": 0.050537109375, + "learning_rate": 0.0004512107679823793, + "loss": 1.1566, + "step": 9479 + }, + { + "epoch": 0.8320556459155601, + "grad_norm": 0.052001953125, + "learning_rate": 0.00045101579410171497, + "loss": 1.1697, + "step": 9480 + }, + { + "epoch": 0.8321434154984627, + "grad_norm": 0.047119140625, + "learning_rate": 0.00045082093855604776, + "loss": 1.1717, + "step": 9481 + }, + { + "epoch": 0.8322311850813652, + "grad_norm": 0.04638671875, + "learning_rate": 0.00045062620136460916, + "loss": 1.1271, + "step": 9482 + }, + { + "epoch": 0.8323189546642676, + "grad_norm": 0.048095703125, + "learning_rate": 0.0004504315825466183, + "loss": 1.1453, + "step": 9483 + }, + { + "epoch": 0.8324067242471701, + "grad_norm": 0.04541015625, + "learning_rate": 0.0004502370821212841, + "loss": 1.1126, + "step": 9484 + }, + { + "epoch": 0.8324944938300726, + "grad_norm": 0.047119140625, + "learning_rate": 0.0004500427001078026, + "loss": 1.0803, + "step": 9485 + }, + { + "epoch": 0.832582263412975, + "grad_norm": 0.05224609375, + "learning_rate": 0.000449848436525359, + "loss": 1.174, + "step": 9486 + }, + { + "epoch": 0.8326700329958776, + "grad_norm": 0.054443359375, + "learning_rate": 0.00044965429139312546, + "loss": 1.1416, + "step": 9487 + }, + { + "epoch": 0.8327578025787801, + "grad_norm": 0.048828125, + "learning_rate": 0.000449460264730264, + "loss": 1.1207, + "step": 9488 + }, + { + "epoch": 0.8328455721616825, + "grad_norm": 0.0791015625, + "learning_rate": 0.0004492663565559241, + "loss": 1.1123, + "step": 9489 + }, + { + "epoch": 0.832933341744585, + "grad_norm": 0.049560546875, + "learning_rate": 0.00044907256688924395, + "loss": 1.1491, + "step": 9490 + }, + { + "epoch": 0.8330211113274875, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004488788957493494, + "loss": 1.0891, + "step": 9491 + }, + { + "epoch": 0.83310888091039, + "grad_norm": 0.04638671875, + "learning_rate": 0.00044868534315535536, + "loss": 1.1756, + "step": 9492 + }, + { + "epoch": 0.8331966504932925, + "grad_norm": 0.047607421875, + "learning_rate": 0.00044849190912636433, + "loss": 1.1445, + "step": 9493 + }, + { + "epoch": 0.833284420076195, + "grad_norm": 0.04833984375, + "learning_rate": 0.000448298593681468, + "loss": 1.1605, + "step": 9494 + }, + { + "epoch": 0.8333721896590974, + "grad_norm": 0.045654296875, + "learning_rate": 0.0004481053968397454, + "loss": 1.1369, + "step": 9495 + }, + { + "epoch": 0.8334599592419999, + "grad_norm": 0.061279296875, + "learning_rate": 0.0004479123186202644, + "loss": 1.1376, + "step": 9496 + }, + { + "epoch": 0.8335477288249025, + "grad_norm": 0.06689453125, + "learning_rate": 0.0004477193590420814, + "loss": 1.1301, + "step": 9497 + }, + { + "epoch": 0.8336354984078049, + "grad_norm": 0.061767578125, + "learning_rate": 0.0004475265181242405, + "loss": 1.1133, + "step": 9498 + }, + { + "epoch": 0.8337232679907074, + "grad_norm": 0.052734375, + "learning_rate": 0.0004473337958857742, + "loss": 1.1859, + "step": 9499 + }, + { + "epoch": 0.8338110375736099, + "grad_norm": 0.04833984375, + "learning_rate": 0.0004471411923457035, + "loss": 1.1379, + "step": 9500 + }, + { + "epoch": 0.8338110375736099, + "eval_loss": 1.1350057125091553, + "eval_runtime": 437.4513, + "eval_samples_per_second": 33.695, + "eval_steps_per_second": 8.424, + "step": 9500 + }, + { + "epoch": 0.8338988071565123, + "grad_norm": 0.06591796875, + "learning_rate": 0.0004469487075230376, + "loss": 1.1654, + "step": 9501 + }, + { + "epoch": 0.8339865767394149, + "grad_norm": 0.04638671875, + "learning_rate": 0.0004467563414367743, + "loss": 1.1386, + "step": 9502 + }, + { + "epoch": 0.8340743463223174, + "grad_norm": 0.061767578125, + "learning_rate": 0.0004465640941058989, + "loss": 1.1563, + "step": 9503 + }, + { + "epoch": 0.8341621159052198, + "grad_norm": 0.05419921875, + "learning_rate": 0.0004463719655493854, + "loss": 1.1215, + "step": 9504 + }, + { + "epoch": 0.8342498854881223, + "grad_norm": 0.058837890625, + "learning_rate": 0.0004461799557861968, + "loss": 1.1728, + "step": 9505 + }, + { + "epoch": 0.8343376550710248, + "grad_norm": 0.051513671875, + "learning_rate": 0.00044598806483528317, + "loss": 1.1515, + "step": 9506 + }, + { + "epoch": 0.8344254246539273, + "grad_norm": 0.0576171875, + "learning_rate": 0.0004457962927155834, + "loss": 1.0876, + "step": 9507 + }, + { + "epoch": 0.8345131942368298, + "grad_norm": 0.050537109375, + "learning_rate": 0.00044560463944602483, + "loss": 1.1347, + "step": 9508 + }, + { + "epoch": 0.8346009638197323, + "grad_norm": 0.0517578125, + "learning_rate": 0.0004454131050455227, + "loss": 1.159, + "step": 9509 + }, + { + "epoch": 0.8346887334026347, + "grad_norm": 0.059326171875, + "learning_rate": 0.000445221689532981, + "loss": 1.1365, + "step": 9510 + }, + { + "epoch": 0.8347765029855372, + "grad_norm": 0.054931640625, + "learning_rate": 0.00044503039292729147, + "loss": 1.1857, + "step": 9511 + }, + { + "epoch": 0.8348642725684398, + "grad_norm": 0.052978515625, + "learning_rate": 0.00044483921524733405, + "loss": 1.1607, + "step": 9512 + }, + { + "epoch": 0.8349520421513422, + "grad_norm": 0.05126953125, + "learning_rate": 0.0004446481565119775, + "loss": 1.1179, + "step": 9513 + }, + { + "epoch": 0.8350398117342447, + "grad_norm": 0.048583984375, + "learning_rate": 0.0004444572167400789, + "loss": 1.1439, + "step": 9514 + }, + { + "epoch": 0.8351275813171471, + "grad_norm": 0.05029296875, + "learning_rate": 0.0004442663959504825, + "loss": 1.1219, + "step": 9515 + }, + { + "epoch": 0.8352153509000496, + "grad_norm": 0.04833984375, + "learning_rate": 0.00044407569416202234, + "loss": 1.1428, + "step": 9516 + }, + { + "epoch": 0.8353031204829521, + "grad_norm": 0.046630859375, + "learning_rate": 0.00044388511139351966, + "loss": 1.2045, + "step": 9517 + }, + { + "epoch": 0.8353908900658547, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004436946476637838, + "loss": 1.1238, + "step": 9518 + }, + { + "epoch": 0.8354786596487571, + "grad_norm": 0.059814453125, + "learning_rate": 0.00044350430299161314, + "loss": 1.1734, + "step": 9519 + }, + { + "epoch": 0.8355664292316596, + "grad_norm": 0.04443359375, + "learning_rate": 0.000443314077395794, + "loss": 1.1489, + "step": 9520 + }, + { + "epoch": 0.835654198814562, + "grad_norm": 0.05322265625, + "learning_rate": 0.0004431239708951007, + "loss": 1.1613, + "step": 9521 + }, + { + "epoch": 0.8357419683974645, + "grad_norm": 0.04541015625, + "learning_rate": 0.00044293398350829646, + "loss": 1.1368, + "step": 9522 + }, + { + "epoch": 0.8358297379803671, + "grad_norm": 0.0458984375, + "learning_rate": 0.0004427441152541316, + "loss": 1.1457, + "step": 9523 + }, + { + "epoch": 0.8359175075632695, + "grad_norm": 0.048095703125, + "learning_rate": 0.00044255436615134536, + "loss": 1.1207, + "step": 9524 + }, + { + "epoch": 0.836005277146172, + "grad_norm": 0.0478515625, + "learning_rate": 0.00044236473621866627, + "loss": 1.1667, + "step": 9525 + }, + { + "epoch": 0.8360930467290745, + "grad_norm": 0.0478515625, + "learning_rate": 0.0004421752254748089, + "loss": 1.1462, + "step": 9526 + }, + { + "epoch": 0.8361808163119769, + "grad_norm": 0.047119140625, + "learning_rate": 0.0004419858339384778, + "loss": 1.1592, + "step": 9527 + }, + { + "epoch": 0.8362685858948795, + "grad_norm": 0.044677734375, + "learning_rate": 0.00044179656162836496, + "loss": 1.1738, + "step": 9528 + }, + { + "epoch": 0.836356355477782, + "grad_norm": 0.049560546875, + "learning_rate": 0.00044160740856315114, + "loss": 1.1201, + "step": 9529 + }, + { + "epoch": 0.8364441250606844, + "grad_norm": 0.055419921875, + "learning_rate": 0.0004414183747615044, + "loss": 1.0869, + "step": 9530 + }, + { + "epoch": 0.8365318946435869, + "grad_norm": 0.05224609375, + "learning_rate": 0.00044122946024208203, + "loss": 1.1686, + "step": 9531 + }, + { + "epoch": 0.8366196642264894, + "grad_norm": 0.0458984375, + "learning_rate": 0.00044104066502352905, + "loss": 1.1534, + "step": 9532 + }, + { + "epoch": 0.8367074338093919, + "grad_norm": 0.046630859375, + "learning_rate": 0.0004408519891244791, + "loss": 1.1992, + "step": 9533 + }, + { + "epoch": 0.8367952033922944, + "grad_norm": 0.04931640625, + "learning_rate": 0.000440663432563553, + "loss": 1.1154, + "step": 9534 + }, + { + "epoch": 0.8368829729751969, + "grad_norm": 0.05126953125, + "learning_rate": 0.000440474995359361, + "loss": 1.1071, + "step": 9535 + }, + { + "epoch": 0.8369707425580993, + "grad_norm": 0.04833984375, + "learning_rate": 0.0004402866775305014, + "loss": 1.1482, + "step": 9536 + }, + { + "epoch": 0.8370585121410018, + "grad_norm": 0.0498046875, + "learning_rate": 0.0004400984790955603, + "loss": 1.1341, + "step": 9537 + }, + { + "epoch": 0.8371462817239044, + "grad_norm": 0.055419921875, + "learning_rate": 0.00043991040007311175, + "loss": 1.1941, + "step": 9538 + }, + { + "epoch": 0.8372340513068068, + "grad_norm": 0.06005859375, + "learning_rate": 0.00043972244048171846, + "loss": 1.1915, + "step": 9539 + }, + { + "epoch": 0.8373218208897093, + "grad_norm": 0.05322265625, + "learning_rate": 0.00043953460033993157, + "loss": 1.1745, + "step": 9540 + }, + { + "epoch": 0.8374095904726118, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004393468796662904, + "loss": 1.1155, + "step": 9541 + }, + { + "epoch": 0.8374973600555142, + "grad_norm": 0.05126953125, + "learning_rate": 0.0004391592784793215, + "loss": 1.1273, + "step": 9542 + }, + { + "epoch": 0.8375851296384167, + "grad_norm": 0.050537109375, + "learning_rate": 0.00043897179679754084, + "loss": 1.1085, + "step": 9543 + }, + { + "epoch": 0.8376728992213193, + "grad_norm": 0.04638671875, + "learning_rate": 0.0004387844346394521, + "loss": 1.1469, + "step": 9544 + }, + { + "epoch": 0.8377606688042217, + "grad_norm": 0.04541015625, + "learning_rate": 0.00043859719202354695, + "loss": 1.1038, + "step": 9545 + }, + { + "epoch": 0.8378484383871242, + "grad_norm": 0.048583984375, + "learning_rate": 0.0004384100689683058, + "loss": 1.1395, + "step": 9546 + }, + { + "epoch": 0.8379362079700267, + "grad_norm": 0.061767578125, + "learning_rate": 0.00043822306549219674, + "loss": 1.1296, + "step": 9547 + }, + { + "epoch": 0.8380239775529291, + "grad_norm": 0.052734375, + "learning_rate": 0.00043803618161367635, + "loss": 1.2539, + "step": 9548 + }, + { + "epoch": 0.8381117471358317, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004378494173511897, + "loss": 1.1518, + "step": 9549 + }, + { + "epoch": 0.8381995167187342, + "grad_norm": 0.04541015625, + "learning_rate": 0.00043766277272316905, + "loss": 1.1359, + "step": 9550 + }, + { + "epoch": 0.8382872863016366, + "grad_norm": 0.04638671875, + "learning_rate": 0.0004374762477480357, + "loss": 1.1382, + "step": 9551 + }, + { + "epoch": 0.8383750558845391, + "grad_norm": 0.051025390625, + "learning_rate": 0.0004372898424441991, + "loss": 1.1369, + "step": 9552 + }, + { + "epoch": 0.8384628254674416, + "grad_norm": 0.0498046875, + "learning_rate": 0.0004371035568300567, + "loss": 1.0816, + "step": 9553 + }, + { + "epoch": 0.8385505950503441, + "grad_norm": 0.05078125, + "learning_rate": 0.00043691739092399347, + "loss": 1.1678, + "step": 9554 + }, + { + "epoch": 0.8386383646332466, + "grad_norm": 0.06787109375, + "learning_rate": 0.00043673134474438423, + "loss": 1.1539, + "step": 9555 + }, + { + "epoch": 0.838726134216149, + "grad_norm": 0.046142578125, + "learning_rate": 0.0004365454183095909, + "loss": 1.1243, + "step": 9556 + }, + { + "epoch": 0.8388139037990515, + "grad_norm": 0.046630859375, + "learning_rate": 0.000436359611637963, + "loss": 1.1623, + "step": 9557 + }, + { + "epoch": 0.838901673381954, + "grad_norm": 0.045166015625, + "learning_rate": 0.00043617392474783943, + "loss": 1.0973, + "step": 9558 + }, + { + "epoch": 0.8389894429648566, + "grad_norm": 0.053466796875, + "learning_rate": 0.00043598835765754654, + "loss": 1.1768, + "step": 9559 + }, + { + "epoch": 0.839077212547759, + "grad_norm": 0.07470703125, + "learning_rate": 0.00043580291038539906, + "loss": 1.128, + "step": 9560 + }, + { + "epoch": 0.8391649821306615, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004356175829497004, + "loss": 1.0904, + "step": 9561 + }, + { + "epoch": 0.839252751713564, + "grad_norm": 0.05419921875, + "learning_rate": 0.0004354323753687409, + "loss": 1.121, + "step": 9562 + }, + { + "epoch": 0.8393405212964664, + "grad_norm": 0.044921875, + "learning_rate": 0.0004352472876608001, + "loss": 1.1574, + "step": 9563 + }, + { + "epoch": 0.839428290879369, + "grad_norm": 0.044677734375, + "learning_rate": 0.0004350623198441456, + "loss": 1.1589, + "step": 9564 + }, + { + "epoch": 0.8395160604622715, + "grad_norm": 0.054931640625, + "learning_rate": 0.0004348774719370328, + "loss": 1.1202, + "step": 9565 + }, + { + "epoch": 0.8396038300451739, + "grad_norm": 0.048095703125, + "learning_rate": 0.0004346927439577055, + "loss": 1.1633, + "step": 9566 + }, + { + "epoch": 0.8396915996280764, + "grad_norm": 0.0458984375, + "learning_rate": 0.00043450813592439566, + "loss": 1.146, + "step": 9567 + }, + { + "epoch": 0.8397793692109788, + "grad_norm": 0.04931640625, + "learning_rate": 0.00043432364785532356, + "loss": 1.1165, + "step": 9568 + }, + { + "epoch": 0.8398671387938814, + "grad_norm": 0.064453125, + "learning_rate": 0.0004341392797686971, + "loss": 1.1181, + "step": 9569 + }, + { + "epoch": 0.8399549083767839, + "grad_norm": 0.046630859375, + "learning_rate": 0.0004339550316827127, + "loss": 1.1052, + "step": 9570 + }, + { + "epoch": 0.8400426779596863, + "grad_norm": 0.0439453125, + "learning_rate": 0.00043377090361555504, + "loss": 1.1346, + "step": 9571 + }, + { + "epoch": 0.8401304475425888, + "grad_norm": 0.04345703125, + "learning_rate": 0.0004335868955853971, + "loss": 1.0916, + "step": 9572 + }, + { + "epoch": 0.8402182171254913, + "grad_norm": 0.050048828125, + "learning_rate": 0.0004334030076103992, + "loss": 1.1606, + "step": 9573 + }, + { + "epoch": 0.8403059867083937, + "grad_norm": 0.046142578125, + "learning_rate": 0.0004332192397087104, + "loss": 1.1797, + "step": 9574 + }, + { + "epoch": 0.8403937562912963, + "grad_norm": 0.046630859375, + "learning_rate": 0.00043303559189846824, + "loss": 1.1261, + "step": 9575 + }, + { + "epoch": 0.8404815258741988, + "grad_norm": 0.0517578125, + "learning_rate": 0.0004328520641977982, + "loss": 1.1418, + "step": 9576 + }, + { + "epoch": 0.8405692954571012, + "grad_norm": 0.05322265625, + "learning_rate": 0.00043266865662481305, + "loss": 1.218, + "step": 9577 + }, + { + "epoch": 0.8406570650400037, + "grad_norm": 0.0537109375, + "learning_rate": 0.00043248536919761495, + "loss": 1.2162, + "step": 9578 + }, + { + "epoch": 0.8407448346229062, + "grad_norm": 0.04736328125, + "learning_rate": 0.00043230220193429326, + "loss": 1.2278, + "step": 9579 + }, + { + "epoch": 0.8408326042058087, + "grad_norm": 0.04736328125, + "learning_rate": 0.00043211915485292634, + "loss": 1.1255, + "step": 9580 + }, + { + "epoch": 0.8409203737887112, + "grad_norm": 0.054443359375, + "learning_rate": 0.0004319362279715797, + "loss": 1.1381, + "step": 9581 + }, + { + "epoch": 0.8410081433716137, + "grad_norm": 0.052490234375, + "learning_rate": 0.00043175342130830785, + "loss": 1.1095, + "step": 9582 + }, + { + "epoch": 0.8410959129545161, + "grad_norm": 0.046630859375, + "learning_rate": 0.00043157073488115283, + "loss": 1.1511, + "step": 9583 + }, + { + "epoch": 0.8411836825374186, + "grad_norm": 0.04931640625, + "learning_rate": 0.00043138816870814516, + "loss": 1.137, + "step": 9584 + }, + { + "epoch": 0.8412714521203212, + "grad_norm": 0.04931640625, + "learning_rate": 0.00043120572280730353, + "loss": 1.2037, + "step": 9585 + }, + { + "epoch": 0.8413592217032236, + "grad_norm": 0.0439453125, + "learning_rate": 0.00043102339719663447, + "loss": 1.1621, + "step": 9586 + }, + { + "epoch": 0.8414469912861261, + "grad_norm": 0.044677734375, + "learning_rate": 0.00043084119189413286, + "loss": 1.1378, + "step": 9587 + }, + { + "epoch": 0.8415347608690286, + "grad_norm": 0.049072265625, + "learning_rate": 0.00043065910691778193, + "loss": 1.1506, + "step": 9588 + }, + { + "epoch": 0.841622530451931, + "grad_norm": 0.058349609375, + "learning_rate": 0.0004304771422855522, + "loss": 1.1027, + "step": 9589 + }, + { + "epoch": 0.8417103000348336, + "grad_norm": 0.044677734375, + "learning_rate": 0.00043029529801540296, + "loss": 1.1099, + "step": 9590 + }, + { + "epoch": 0.8417980696177361, + "grad_norm": 0.046875, + "learning_rate": 0.00043011357412528196, + "loss": 1.1757, + "step": 9591 + }, + { + "epoch": 0.8418858392006385, + "grad_norm": 0.060546875, + "learning_rate": 0.0004299319706331244, + "loss": 1.2074, + "step": 9592 + }, + { + "epoch": 0.841973608783541, + "grad_norm": 0.049560546875, + "learning_rate": 0.0004297504875568535, + "loss": 1.1249, + "step": 9593 + }, + { + "epoch": 0.8420613783664435, + "grad_norm": 0.048095703125, + "learning_rate": 0.00042956912491438106, + "loss": 1.0762, + "step": 9594 + }, + { + "epoch": 0.842149147949346, + "grad_norm": 0.048828125, + "learning_rate": 0.00042938788272360747, + "loss": 1.1121, + "step": 9595 + }, + { + "epoch": 0.8422369175322485, + "grad_norm": 0.052734375, + "learning_rate": 0.00042920676100241994, + "loss": 1.1766, + "step": 9596 + }, + { + "epoch": 0.842324687115151, + "grad_norm": 0.049072265625, + "learning_rate": 0.0004290257597686946, + "loss": 1.185, + "step": 9597 + }, + { + "epoch": 0.8424124566980534, + "grad_norm": 0.04345703125, + "learning_rate": 0.00042884487904029563, + "loss": 1.1066, + "step": 9598 + }, + { + "epoch": 0.8425002262809559, + "grad_norm": 0.046142578125, + "learning_rate": 0.000428664118835075, + "loss": 1.0952, + "step": 9599 + }, + { + "epoch": 0.8425879958638584, + "grad_norm": 0.048095703125, + "learning_rate": 0.0004284834791708739, + "loss": 1.1589, + "step": 9600 + }, + { + "epoch": 0.8426757654467609, + "grad_norm": 0.054443359375, + "learning_rate": 0.0004283029600655197, + "loss": 1.1642, + "step": 9601 + }, + { + "epoch": 0.8427635350296634, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004281225615368292, + "loss": 1.136, + "step": 9602 + }, + { + "epoch": 0.8428513046125659, + "grad_norm": 0.0439453125, + "learning_rate": 0.0004279422836026073, + "loss": 1.1187, + "step": 9603 + }, + { + "epoch": 0.8429390741954683, + "grad_norm": 0.05224609375, + "learning_rate": 0.00042776212628064646, + "loss": 1.1319, + "step": 9604 + }, + { + "epoch": 0.8430268437783708, + "grad_norm": 0.045166015625, + "learning_rate": 0.00042758208958872774, + "loss": 1.0956, + "step": 9605 + }, + { + "epoch": 0.8431146133612734, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004274021735446199, + "loss": 1.1665, + "step": 9606 + }, + { + "epoch": 0.8432023829441758, + "grad_norm": 0.046875, + "learning_rate": 0.00042722237816608004, + "loss": 1.1218, + "step": 9607 + }, + { + "epoch": 0.8432901525270783, + "grad_norm": 0.0419921875, + "learning_rate": 0.00042704270347085306, + "loss": 1.1025, + "step": 9608 + }, + { + "epoch": 0.8433779221099807, + "grad_norm": 0.046875, + "learning_rate": 0.0004268631494766722, + "loss": 1.146, + "step": 9609 + }, + { + "epoch": 0.8434656916928832, + "grad_norm": 0.046630859375, + "learning_rate": 0.0004266837162012588, + "loss": 1.1386, + "step": 9610 + }, + { + "epoch": 0.8435534612757858, + "grad_norm": 0.051513671875, + "learning_rate": 0.0004265044036623221, + "loss": 1.1241, + "step": 9611 + }, + { + "epoch": 0.8436412308586883, + "grad_norm": 0.0478515625, + "learning_rate": 0.0004263252118775601, + "loss": 1.1457, + "step": 9612 + }, + { + "epoch": 0.8437290004415907, + "grad_norm": 0.054931640625, + "learning_rate": 0.0004261461408646573, + "loss": 1.1557, + "step": 9613 + }, + { + "epoch": 0.8438167700244932, + "grad_norm": 0.051025390625, + "learning_rate": 0.0004259671906412879, + "loss": 1.1449, + "step": 9614 + }, + { + "epoch": 0.8439045396073956, + "grad_norm": 0.042236328125, + "learning_rate": 0.00042578836122511386, + "loss": 1.0978, + "step": 9615 + }, + { + "epoch": 0.8439923091902982, + "grad_norm": 0.046142578125, + "learning_rate": 0.00042560965263378444, + "loss": 1.1763, + "step": 9616 + }, + { + "epoch": 0.8440800787732007, + "grad_norm": 0.061279296875, + "learning_rate": 0.0004254310648849375, + "loss": 1.1806, + "step": 9617 + }, + { + "epoch": 0.8441678483561031, + "grad_norm": 0.045166015625, + "learning_rate": 0.0004252525979961992, + "loss": 1.1016, + "step": 9618 + }, + { + "epoch": 0.8442556179390056, + "grad_norm": 0.06494140625, + "learning_rate": 0.00042507425198518364, + "loss": 1.1329, + "step": 9619 + }, + { + "epoch": 0.8443433875219081, + "grad_norm": 0.051513671875, + "learning_rate": 0.0004248960268694923, + "loss": 1.1158, + "step": 9620 + }, + { + "epoch": 0.8444311571048106, + "grad_norm": 0.046875, + "learning_rate": 0.0004247179226667157, + "loss": 1.1605, + "step": 9621 + }, + { + "epoch": 0.8445189266877131, + "grad_norm": 0.0498046875, + "learning_rate": 0.00042453993939443185, + "loss": 1.2055, + "step": 9622 + }, + { + "epoch": 0.8446066962706156, + "grad_norm": 0.0595703125, + "learning_rate": 0.0004243620770702074, + "loss": 1.1339, + "step": 9623 + }, + { + "epoch": 0.844694465853518, + "grad_norm": 0.06494140625, + "learning_rate": 0.00042418433571159587, + "loss": 1.112, + "step": 9624 + }, + { + "epoch": 0.8447822354364205, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004240067153361402, + "loss": 1.2494, + "step": 9625 + }, + { + "epoch": 0.844870005019323, + "grad_norm": 0.04541015625, + "learning_rate": 0.0004238292159613708, + "loss": 1.1444, + "step": 9626 + }, + { + "epoch": 0.8449577746022255, + "grad_norm": 0.04443359375, + "learning_rate": 0.0004236518376048064, + "loss": 1.1882, + "step": 9627 + }, + { + "epoch": 0.845045544185128, + "grad_norm": 0.047119140625, + "learning_rate": 0.0004234745802839529, + "loss": 1.1626, + "step": 9628 + }, + { + "epoch": 0.8451333137680305, + "grad_norm": 0.044921875, + "learning_rate": 0.00042329744401630506, + "loss": 1.1524, + "step": 9629 + }, + { + "epoch": 0.8452210833509329, + "grad_norm": 0.0546875, + "learning_rate": 0.0004231204288193459, + "loss": 1.1448, + "step": 9630 + }, + { + "epoch": 0.8453088529338354, + "grad_norm": 0.05029296875, + "learning_rate": 0.0004229435347105461, + "loss": 1.1478, + "step": 9631 + }, + { + "epoch": 0.845396622516738, + "grad_norm": 0.044677734375, + "learning_rate": 0.00042276676170736383, + "loss": 1.1319, + "step": 9632 + }, + { + "epoch": 0.8454843920996404, + "grad_norm": 0.044677734375, + "learning_rate": 0.0004225901098272464, + "loss": 1.1704, + "step": 9633 + }, + { + "epoch": 0.8455721616825429, + "grad_norm": 0.046142578125, + "learning_rate": 0.00042241357908762855, + "loss": 1.1539, + "step": 9634 + }, + { + "epoch": 0.8456599312654454, + "grad_norm": 0.049072265625, + "learning_rate": 0.00042223716950593295, + "loss": 1.1799, + "step": 9635 + }, + { + "epoch": 0.8457477008483478, + "grad_norm": 0.048095703125, + "learning_rate": 0.00042206088109957083, + "loss": 1.166, + "step": 9636 + }, + { + "epoch": 0.8458354704312504, + "grad_norm": 0.048095703125, + "learning_rate": 0.00042188471388594095, + "loss": 1.1075, + "step": 9637 + }, + { + "epoch": 0.8459232400141529, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004217086678824304, + "loss": 1.1453, + "step": 9638 + }, + { + "epoch": 0.8460110095970553, + "grad_norm": 0.049560546875, + "learning_rate": 0.0004215327431064147, + "loss": 1.117, + "step": 9639 + }, + { + "epoch": 0.8460987791799578, + "grad_norm": 0.045654296875, + "learning_rate": 0.00042135693957525593, + "loss": 1.1434, + "step": 9640 + }, + { + "epoch": 0.8461865487628603, + "grad_norm": 0.04638671875, + "learning_rate": 0.00042118125730630595, + "loss": 1.1504, + "step": 9641 + }, + { + "epoch": 0.8462743183457628, + "grad_norm": 0.0712890625, + "learning_rate": 0.00042100569631690345, + "loss": 1.1546, + "step": 9642 + }, + { + "epoch": 0.8463620879286653, + "grad_norm": 0.04443359375, + "learning_rate": 0.00042083025662437623, + "loss": 1.1257, + "step": 9643 + }, + { + "epoch": 0.8464498575115678, + "grad_norm": 0.0537109375, + "learning_rate": 0.0004206549382460388, + "loss": 1.0835, + "step": 9644 + }, + { + "epoch": 0.8465376270944702, + "grad_norm": 0.051025390625, + "learning_rate": 0.0004204797411991945, + "loss": 1.1674, + "step": 9645 + }, + { + "epoch": 0.8466253966773727, + "grad_norm": 0.045166015625, + "learning_rate": 0.0004203046655011352, + "loss": 1.1332, + "step": 9646 + }, + { + "epoch": 0.8467131662602753, + "grad_norm": 0.048095703125, + "learning_rate": 0.0004201297111691397, + "loss": 1.1232, + "step": 9647 + }, + { + "epoch": 0.8468009358431777, + "grad_norm": 0.045166015625, + "learning_rate": 0.0004199548782204751, + "loss": 1.1242, + "step": 9648 + }, + { + "epoch": 0.8468887054260802, + "grad_norm": 0.046875, + "learning_rate": 0.00041978016667239715, + "loss": 1.131, + "step": 9649 + }, + { + "epoch": 0.8469764750089827, + "grad_norm": 0.06982421875, + "learning_rate": 0.0004196055765421489, + "loss": 1.2042, + "step": 9650 + }, + { + "epoch": 0.8470642445918851, + "grad_norm": 0.047119140625, + "learning_rate": 0.00041943110784696205, + "loss": 1.1285, + "step": 9651 + }, + { + "epoch": 0.8471520141747877, + "grad_norm": 0.04541015625, + "learning_rate": 0.00041925676060405555, + "loss": 1.1546, + "step": 9652 + }, + { + "epoch": 0.8472397837576902, + "grad_norm": 0.053466796875, + "learning_rate": 0.00041908253483063706, + "loss": 1.1338, + "step": 9653 + }, + { + "epoch": 0.8473275533405926, + "grad_norm": 0.046630859375, + "learning_rate": 0.0004189084305439019, + "loss": 1.1703, + "step": 9654 + }, + { + "epoch": 0.8474153229234951, + "grad_norm": 0.051513671875, + "learning_rate": 0.0004187344477610333, + "loss": 1.143, + "step": 9655 + }, + { + "epoch": 0.8475030925063975, + "grad_norm": 0.052001953125, + "learning_rate": 0.00041856058649920283, + "loss": 1.1176, + "step": 9656 + }, + { + "epoch": 0.8475908620893, + "grad_norm": 0.058837890625, + "learning_rate": 0.00041838684677557, + "loss": 1.1515, + "step": 9657 + }, + { + "epoch": 0.8476786316722026, + "grad_norm": 0.042724609375, + "learning_rate": 0.0004182132286072824, + "loss": 1.0822, + "step": 9658 + }, + { + "epoch": 0.847766401255105, + "grad_norm": 0.055908203125, + "learning_rate": 0.0004180397320114749, + "loss": 1.1598, + "step": 9659 + }, + { + "epoch": 0.8478541708380075, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004178663570052713, + "loss": 1.1167, + "step": 9660 + }, + { + "epoch": 0.84794194042091, + "grad_norm": 0.048583984375, + "learning_rate": 0.00041769310360578293, + "loss": 1.1354, + "step": 9661 + }, + { + "epoch": 0.8480297100038124, + "grad_norm": 0.0693359375, + "learning_rate": 0.0004175199718301092, + "loss": 1.1138, + "step": 9662 + }, + { + "epoch": 0.848117479586715, + "grad_norm": 0.044677734375, + "learning_rate": 0.0004173469616953379, + "loss": 1.1331, + "step": 9663 + }, + { + "epoch": 0.8482052491696175, + "grad_norm": 0.046142578125, + "learning_rate": 0.0004171740732185438, + "loss": 1.1111, + "step": 9664 + }, + { + "epoch": 0.84829301875252, + "grad_norm": 0.046875, + "learning_rate": 0.0004170013064167904, + "loss": 1.1484, + "step": 9665 + }, + { + "epoch": 0.8483807883354224, + "grad_norm": 0.0517578125, + "learning_rate": 0.00041682866130712977, + "loss": 1.1501, + "step": 9666 + }, + { + "epoch": 0.8484685579183249, + "grad_norm": 0.05908203125, + "learning_rate": 0.00041665613790660064, + "loss": 1.1116, + "step": 9667 + }, + { + "epoch": 0.8485563275012274, + "grad_norm": 0.050048828125, + "learning_rate": 0.00041648373623223066, + "loss": 1.2232, + "step": 9668 + }, + { + "epoch": 0.8486440970841299, + "grad_norm": 0.046142578125, + "learning_rate": 0.00041631145630103514, + "loss": 1.1565, + "step": 9669 + }, + { + "epoch": 0.8487318666670324, + "grad_norm": 0.049072265625, + "learning_rate": 0.00041613929813001763, + "loss": 1.1636, + "step": 9670 + }, + { + "epoch": 0.8488196362499348, + "grad_norm": 0.045654296875, + "learning_rate": 0.00041596726173616903, + "loss": 1.1711, + "step": 9671 + }, + { + "epoch": 0.8489074058328373, + "grad_norm": 0.05126953125, + "learning_rate": 0.0004157953471364687, + "loss": 1.1473, + "step": 9672 + }, + { + "epoch": 0.8489951754157399, + "grad_norm": 0.04931640625, + "learning_rate": 0.00041562355434788433, + "loss": 1.1565, + "step": 9673 + }, + { + "epoch": 0.8490829449986423, + "grad_norm": 0.04931640625, + "learning_rate": 0.0004154518833873711, + "loss": 1.2, + "step": 9674 + }, + { + "epoch": 0.8491707145815448, + "grad_norm": 0.047607421875, + "learning_rate": 0.0004152803342718716, + "loss": 1.135, + "step": 9675 + }, + { + "epoch": 0.8492584841644473, + "grad_norm": 0.0458984375, + "learning_rate": 0.0004151089070183179, + "loss": 1.1714, + "step": 9676 + }, + { + "epoch": 0.8493462537473497, + "grad_norm": 0.046142578125, + "learning_rate": 0.00041493760164362895, + "loss": 1.1627, + "step": 9677 + }, + { + "epoch": 0.8494340233302523, + "grad_norm": 0.046630859375, + "learning_rate": 0.0004147664181647119, + "loss": 1.1647, + "step": 9678 + }, + { + "epoch": 0.8495217929131548, + "grad_norm": 0.0517578125, + "learning_rate": 0.0004145953565984616, + "loss": 1.1418, + "step": 9679 + }, + { + "epoch": 0.8496095624960572, + "grad_norm": 0.047119140625, + "learning_rate": 0.0004144244169617614, + "loss": 1.1405, + "step": 9680 + }, + { + "epoch": 0.8496973320789597, + "grad_norm": 0.04541015625, + "learning_rate": 0.00041425359927148227, + "loss": 1.1223, + "step": 9681 + }, + { + "epoch": 0.8497851016618622, + "grad_norm": 0.045654296875, + "learning_rate": 0.00041408290354448356, + "loss": 1.1526, + "step": 9682 + }, + { + "epoch": 0.8498728712447646, + "grad_norm": 0.045654296875, + "learning_rate": 0.0004139123297976117, + "loss": 1.1734, + "step": 9683 + }, + { + "epoch": 0.8499606408276672, + "grad_norm": 0.05078125, + "learning_rate": 0.00041374187804770195, + "loss": 1.0994, + "step": 9684 + }, + { + "epoch": 0.8500484104105697, + "grad_norm": 0.051513671875, + "learning_rate": 0.0004135715483115772, + "loss": 1.148, + "step": 9685 + }, + { + "epoch": 0.8501361799934721, + "grad_norm": 0.0458984375, + "learning_rate": 0.00041340134060604845, + "loss": 1.1772, + "step": 9686 + }, + { + "epoch": 0.8502239495763746, + "grad_norm": 0.0498046875, + "learning_rate": 0.00041323125494791436, + "loss": 1.1098, + "step": 9687 + }, + { + "epoch": 0.8503117191592771, + "grad_norm": 0.0478515625, + "learning_rate": 0.0004130612913539616, + "loss": 1.1726, + "step": 9688 + }, + { + "epoch": 0.8503994887421796, + "grad_norm": 0.05078125, + "learning_rate": 0.00041289144984096523, + "loss": 1.1255, + "step": 9689 + }, + { + "epoch": 0.8504872583250821, + "grad_norm": 0.046875, + "learning_rate": 0.0004127217304256879, + "loss": 1.206, + "step": 9690 + }, + { + "epoch": 0.8505750279079846, + "grad_norm": 0.056884765625, + "learning_rate": 0.00041255213312488, + "loss": 1.1122, + "step": 9691 + }, + { + "epoch": 0.850662797490887, + "grad_norm": 0.0625, + "learning_rate": 0.00041238265795528003, + "loss": 1.1273, + "step": 9692 + }, + { + "epoch": 0.8507505670737895, + "grad_norm": 0.044677734375, + "learning_rate": 0.00041221330493361485, + "loss": 1.1549, + "step": 9693 + }, + { + "epoch": 0.8508383366566921, + "grad_norm": 0.049560546875, + "learning_rate": 0.0004120440740765991, + "loss": 1.1528, + "step": 9694 + }, + { + "epoch": 0.8509261062395945, + "grad_norm": 0.048095703125, + "learning_rate": 0.00041187496540093433, + "loss": 1.1006, + "step": 9695 + }, + { + "epoch": 0.851013875822497, + "grad_norm": 0.051025390625, + "learning_rate": 0.0004117059789233117, + "loss": 1.1029, + "step": 9696 + }, + { + "epoch": 0.8511016454053995, + "grad_norm": 0.056640625, + "learning_rate": 0.0004115371146604096, + "loss": 1.0974, + "step": 9697 + }, + { + "epoch": 0.8511894149883019, + "grad_norm": 0.048828125, + "learning_rate": 0.00041136837262889357, + "loss": 1.1491, + "step": 9698 + }, + { + "epoch": 0.8512771845712045, + "grad_norm": 0.0458984375, + "learning_rate": 0.0004111997528454182, + "loss": 1.1651, + "step": 9699 + }, + { + "epoch": 0.851364954154107, + "grad_norm": 0.052490234375, + "learning_rate": 0.00041103125532662547, + "loss": 1.1555, + "step": 9700 + }, + { + "epoch": 0.8514527237370094, + "grad_norm": 0.05517578125, + "learning_rate": 0.00041086288008914545, + "loss": 1.1593, + "step": 9701 + }, + { + "epoch": 0.8515404933199119, + "grad_norm": 0.047119140625, + "learning_rate": 0.00041069462714959665, + "loss": 1.1407, + "step": 9702 + }, + { + "epoch": 0.8516282629028143, + "grad_norm": 0.059326171875, + "learning_rate": 0.000410526496524584, + "loss": 1.1883, + "step": 9703 + }, + { + "epoch": 0.8517160324857169, + "grad_norm": 0.04931640625, + "learning_rate": 0.0004103584882307018, + "loss": 1.1351, + "step": 9704 + }, + { + "epoch": 0.8518038020686194, + "grad_norm": 0.044677734375, + "learning_rate": 0.000410190602284532, + "loss": 1.1059, + "step": 9705 + }, + { + "epoch": 0.8518915716515219, + "grad_norm": 0.05322265625, + "learning_rate": 0.00041002283870264375, + "loss": 1.2351, + "step": 9706 + }, + { + "epoch": 0.8519793412344243, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004098551975015952, + "loss": 1.1519, + "step": 9707 + }, + { + "epoch": 0.8520671108173268, + "grad_norm": 0.0576171875, + "learning_rate": 0.00040968767869793156, + "loss": 1.101, + "step": 9708 + }, + { + "epoch": 0.8521548804002294, + "grad_norm": 0.048828125, + "learning_rate": 0.00040952028230818667, + "loss": 1.1989, + "step": 9709 + }, + { + "epoch": 0.8522426499831318, + "grad_norm": 0.04833984375, + "learning_rate": 0.00040935300834888137, + "loss": 1.1165, + "step": 9710 + }, + { + "epoch": 0.8523304195660343, + "grad_norm": 0.04443359375, + "learning_rate": 0.00040918585683652497, + "loss": 1.118, + "step": 9711 + }, + { + "epoch": 0.8524181891489367, + "grad_norm": 0.047607421875, + "learning_rate": 0.00040901882778761496, + "loss": 1.1265, + "step": 9712 + }, + { + "epoch": 0.8525059587318392, + "grad_norm": 0.048095703125, + "learning_rate": 0.0004088519212186365, + "loss": 1.147, + "step": 9713 + }, + { + "epoch": 0.8525937283147417, + "grad_norm": 0.048583984375, + "learning_rate": 0.00040868513714606246, + "loss": 1.1572, + "step": 9714 + }, + { + "epoch": 0.8526814978976442, + "grad_norm": 0.04638671875, + "learning_rate": 0.0004085184755863533, + "loss": 1.114, + "step": 9715 + }, + { + "epoch": 0.8527692674805467, + "grad_norm": 0.05615234375, + "learning_rate": 0.0004083519365559587, + "loss": 1.1633, + "step": 9716 + }, + { + "epoch": 0.8528570370634492, + "grad_norm": 0.0458984375, + "learning_rate": 0.0004081855200713151, + "loss": 1.1615, + "step": 9717 + }, + { + "epoch": 0.8529448066463516, + "grad_norm": 0.046630859375, + "learning_rate": 0.00040801922614884674, + "loss": 1.1467, + "step": 9718 + }, + { + "epoch": 0.8530325762292541, + "grad_norm": 0.050537109375, + "learning_rate": 0.00040785305480496673, + "loss": 1.1752, + "step": 9719 + }, + { + "epoch": 0.8531203458121567, + "grad_norm": 0.0576171875, + "learning_rate": 0.0004076870060560751, + "loss": 1.1422, + "step": 9720 + }, + { + "epoch": 0.8532081153950591, + "grad_norm": 0.043212890625, + "learning_rate": 0.00040752107991856053, + "loss": 1.0989, + "step": 9721 + }, + { + "epoch": 0.8532958849779616, + "grad_norm": 0.051025390625, + "learning_rate": 0.00040735527640879915, + "loss": 1.1325, + "step": 9722 + }, + { + "epoch": 0.8533836545608641, + "grad_norm": 0.049072265625, + "learning_rate": 0.00040718959554315507, + "loss": 1.1403, + "step": 9723 + }, + { + "epoch": 0.8534714241437665, + "grad_norm": 0.0576171875, + "learning_rate": 0.0004070240373379802, + "loss": 1.1822, + "step": 9724 + }, + { + "epoch": 0.8535591937266691, + "grad_norm": 0.045166015625, + "learning_rate": 0.0004068586018096147, + "loss": 1.1511, + "step": 9725 + }, + { + "epoch": 0.8536469633095716, + "grad_norm": 0.042724609375, + "learning_rate": 0.00040669328897438627, + "loss": 1.0843, + "step": 9726 + }, + { + "epoch": 0.853734732892474, + "grad_norm": 0.045166015625, + "learning_rate": 0.00040652809884861074, + "loss": 1.1378, + "step": 9727 + }, + { + "epoch": 0.8538225024753765, + "grad_norm": 0.05029296875, + "learning_rate": 0.0004063630314485917, + "loss": 1.0872, + "step": 9728 + }, + { + "epoch": 0.853910272058279, + "grad_norm": 0.048095703125, + "learning_rate": 0.000406198086790621, + "loss": 1.1444, + "step": 9729 + }, + { + "epoch": 0.8539980416411815, + "grad_norm": 0.04345703125, + "learning_rate": 0.0004060332648909772, + "loss": 1.0751, + "step": 9730 + }, + { + "epoch": 0.854085811224084, + "grad_norm": 0.046142578125, + "learning_rate": 0.00040586856576592807, + "loss": 1.1012, + "step": 9731 + }, + { + "epoch": 0.8541735808069865, + "grad_norm": 0.044189453125, + "learning_rate": 0.00040570398943172887, + "loss": 1.1045, + "step": 9732 + }, + { + "epoch": 0.8542613503898889, + "grad_norm": 0.04736328125, + "learning_rate": 0.0004055395359046226, + "loss": 1.187, + "step": 9733 + }, + { + "epoch": 0.8543491199727914, + "grad_norm": 0.048095703125, + "learning_rate": 0.0004053752052008398, + "loss": 1.1406, + "step": 9734 + }, + { + "epoch": 0.854436889555694, + "grad_norm": 0.04638671875, + "learning_rate": 0.0004052109973365993, + "loss": 1.1567, + "step": 9735 + }, + { + "epoch": 0.8545246591385964, + "grad_norm": 0.048095703125, + "learning_rate": 0.0004050469123281085, + "loss": 1.1348, + "step": 9736 + }, + { + "epoch": 0.8546124287214989, + "grad_norm": 0.046875, + "learning_rate": 0.00040488295019156114, + "loss": 1.1389, + "step": 9737 + }, + { + "epoch": 0.8547001983044014, + "grad_norm": 0.05126953125, + "learning_rate": 0.00040471911094313993, + "loss": 1.171, + "step": 9738 + }, + { + "epoch": 0.8547879678873038, + "grad_norm": 0.054931640625, + "learning_rate": 0.00040455539459901516, + "loss": 1.1337, + "step": 9739 + }, + { + "epoch": 0.8548757374702063, + "grad_norm": 0.048828125, + "learning_rate": 0.0004043918011753449, + "loss": 1.1162, + "step": 9740 + }, + { + "epoch": 0.8549635070531089, + "grad_norm": 0.047607421875, + "learning_rate": 0.00040422833068827556, + "loss": 1.1309, + "step": 9741 + }, + { + "epoch": 0.8550512766360113, + "grad_norm": 0.047607421875, + "learning_rate": 0.00040406498315394046, + "loss": 1.1017, + "step": 9742 + }, + { + "epoch": 0.8551390462189138, + "grad_norm": 0.06005859375, + "learning_rate": 0.0004039017585884615, + "loss": 1.1218, + "step": 9743 + }, + { + "epoch": 0.8552268158018163, + "grad_norm": 0.04541015625, + "learning_rate": 0.00040373865700794865, + "loss": 1.1559, + "step": 9744 + }, + { + "epoch": 0.8553145853847187, + "grad_norm": 0.044189453125, + "learning_rate": 0.0004035756784284989, + "loss": 1.163, + "step": 9745 + }, + { + "epoch": 0.8554023549676213, + "grad_norm": 0.05029296875, + "learning_rate": 0.0004034128228661979, + "loss": 1.1836, + "step": 9746 + }, + { + "epoch": 0.8554901245505238, + "grad_norm": 0.05224609375, + "learning_rate": 0.0004032500903371188, + "loss": 1.1171, + "step": 9747 + }, + { + "epoch": 0.8555778941334262, + "grad_norm": 0.0498046875, + "learning_rate": 0.00040308748085732287, + "loss": 1.1633, + "step": 9748 + }, + { + "epoch": 0.8556656637163287, + "grad_norm": 0.056640625, + "learning_rate": 0.00040292499444285866, + "loss": 1.1629, + "step": 9749 + }, + { + "epoch": 0.8557534332992311, + "grad_norm": 0.05078125, + "learning_rate": 0.0004027626311097629, + "loss": 1.1306, + "step": 9750 + }, + { + "epoch": 0.8558412028821337, + "grad_norm": 0.049072265625, + "learning_rate": 0.0004026003908740605, + "loss": 1.1308, + "step": 9751 + }, + { + "epoch": 0.8559289724650362, + "grad_norm": 0.055419921875, + "learning_rate": 0.00040243827375176374, + "loss": 1.2031, + "step": 9752 + }, + { + "epoch": 0.8560167420479387, + "grad_norm": 0.048095703125, + "learning_rate": 0.00040227627975887337, + "loss": 1.1065, + "step": 9753 + }, + { + "epoch": 0.8561045116308411, + "grad_norm": 0.042236328125, + "learning_rate": 0.00040211440891137684, + "loss": 1.0742, + "step": 9754 + }, + { + "epoch": 0.8561922812137436, + "grad_norm": 0.046875, + "learning_rate": 0.0004019526612252505, + "loss": 1.1438, + "step": 9755 + }, + { + "epoch": 0.8562800507966462, + "grad_norm": 0.044189453125, + "learning_rate": 0.00040179103671645835, + "loss": 1.1648, + "step": 9756 + }, + { + "epoch": 0.8563678203795486, + "grad_norm": 0.045166015625, + "learning_rate": 0.0004016295354009519, + "loss": 1.135, + "step": 9757 + }, + { + "epoch": 0.8564555899624511, + "grad_norm": 0.046875, + "learning_rate": 0.0004014681572946707, + "loss": 1.1191, + "step": 9758 + }, + { + "epoch": 0.8565433595453535, + "grad_norm": 0.05078125, + "learning_rate": 0.00040130690241354215, + "loss": 1.1168, + "step": 9759 + }, + { + "epoch": 0.856631129128256, + "grad_norm": 0.052734375, + "learning_rate": 0.0004011457707734818, + "loss": 1.1147, + "step": 9760 + }, + { + "epoch": 0.8567188987111586, + "grad_norm": 0.054443359375, + "learning_rate": 0.0004009847623903922, + "loss": 1.1237, + "step": 9761 + }, + { + "epoch": 0.856806668294061, + "grad_norm": 0.052001953125, + "learning_rate": 0.0004008238772801645, + "loss": 1.147, + "step": 9762 + }, + { + "epoch": 0.8568944378769635, + "grad_norm": 0.05126953125, + "learning_rate": 0.0004006631154586771, + "loss": 1.1555, + "step": 9763 + }, + { + "epoch": 0.856982207459866, + "grad_norm": 0.05419921875, + "learning_rate": 0.0004005024769417971, + "loss": 1.1799, + "step": 9764 + }, + { + "epoch": 0.8570699770427684, + "grad_norm": 0.055908203125, + "learning_rate": 0.0004003419617453788, + "loss": 1.1782, + "step": 9765 + }, + { + "epoch": 0.8571577466256709, + "grad_norm": 0.044677734375, + "learning_rate": 0.0004001815698852637, + "loss": 1.1383, + "step": 9766 + }, + { + "epoch": 0.8572455162085735, + "grad_norm": 0.06884765625, + "learning_rate": 0.0004000213013772826, + "loss": 1.1146, + "step": 9767 + }, + { + "epoch": 0.8573332857914759, + "grad_norm": 0.0439453125, + "learning_rate": 0.00039986115623725355, + "loss": 1.1155, + "step": 9768 + }, + { + "epoch": 0.8574210553743784, + "grad_norm": 0.045654296875, + "learning_rate": 0.0003997011344809813, + "loss": 1.1592, + "step": 9769 + }, + { + "epoch": 0.8575088249572809, + "grad_norm": 0.0546875, + "learning_rate": 0.0003995412361242601, + "loss": 1.1519, + "step": 9770 + }, + { + "epoch": 0.8575965945401833, + "grad_norm": 0.044189453125, + "learning_rate": 0.00039938146118287106, + "loss": 1.1014, + "step": 9771 + }, + { + "epoch": 0.8576843641230859, + "grad_norm": 0.056640625, + "learning_rate": 0.0003992218096725835, + "loss": 1.1021, + "step": 9772 + }, + { + "epoch": 0.8577721337059884, + "grad_norm": 0.053955078125, + "learning_rate": 0.000399062281609154, + "loss": 1.2096, + "step": 9773 + }, + { + "epoch": 0.8578599032888908, + "grad_norm": 0.05224609375, + "learning_rate": 0.0003989028770083277, + "loss": 1.1754, + "step": 9774 + }, + { + "epoch": 0.8579476728717933, + "grad_norm": 0.045166015625, + "learning_rate": 0.00039874359588583694, + "loss": 1.1583, + "step": 9775 + }, + { + "epoch": 0.8580354424546958, + "grad_norm": 0.049560546875, + "learning_rate": 0.00039858443825740243, + "loss": 1.148, + "step": 9776 + }, + { + "epoch": 0.8581232120375983, + "grad_norm": 0.0439453125, + "learning_rate": 0.00039842540413873224, + "loss": 1.1239, + "step": 9777 + }, + { + "epoch": 0.8582109816205008, + "grad_norm": 0.04736328125, + "learning_rate": 0.00039826649354552247, + "loss": 1.1699, + "step": 9778 + }, + { + "epoch": 0.8582987512034033, + "grad_norm": 0.0546875, + "learning_rate": 0.0003981077064934569, + "loss": 1.224, + "step": 9779 + }, + { + "epoch": 0.8583865207863057, + "grad_norm": 0.044921875, + "learning_rate": 0.00039794904299820735, + "loss": 1.1282, + "step": 9780 + }, + { + "epoch": 0.8584742903692082, + "grad_norm": 0.045166015625, + "learning_rate": 0.00039779050307543306, + "loss": 1.129, + "step": 9781 + }, + { + "epoch": 0.8585620599521108, + "grad_norm": 0.0576171875, + "learning_rate": 0.0003976320867407812, + "loss": 1.1876, + "step": 9782 + }, + { + "epoch": 0.8586498295350132, + "grad_norm": 0.044189453125, + "learning_rate": 0.00039747379400988716, + "loss": 1.1544, + "step": 9783 + }, + { + "epoch": 0.8587375991179157, + "grad_norm": 0.05126953125, + "learning_rate": 0.0003973156248983738, + "loss": 1.1118, + "step": 9784 + }, + { + "epoch": 0.8588253687008182, + "grad_norm": 0.04931640625, + "learning_rate": 0.00039715757942185146, + "loss": 1.1961, + "step": 9785 + }, + { + "epoch": 0.8589131382837206, + "grad_norm": 0.047607421875, + "learning_rate": 0.0003969996575959185, + "loss": 1.1813, + "step": 9786 + }, + { + "epoch": 0.8590009078666232, + "grad_norm": 0.044677734375, + "learning_rate": 0.00039684185943616193, + "loss": 1.1197, + "step": 9787 + }, + { + "epoch": 0.8590886774495257, + "grad_norm": 0.058349609375, + "learning_rate": 0.0003966841849581552, + "loss": 1.1282, + "step": 9788 + }, + { + "epoch": 0.8591764470324281, + "grad_norm": 0.0478515625, + "learning_rate": 0.00039652663417746013, + "loss": 1.1363, + "step": 9789 + }, + { + "epoch": 0.8592642166153306, + "grad_norm": 0.048095703125, + "learning_rate": 0.0003963692071096266, + "loss": 1.1603, + "step": 9790 + }, + { + "epoch": 0.859351986198233, + "grad_norm": 0.048095703125, + "learning_rate": 0.0003962119037701921, + "loss": 1.091, + "step": 9791 + }, + { + "epoch": 0.8594397557811356, + "grad_norm": 0.046142578125, + "learning_rate": 0.0003960547241746817, + "loss": 1.0957, + "step": 9792 + }, + { + "epoch": 0.8595275253640381, + "grad_norm": 0.047119140625, + "learning_rate": 0.00039589766833860834, + "loss": 1.2, + "step": 9793 + }, + { + "epoch": 0.8596152949469406, + "grad_norm": 0.052490234375, + "learning_rate": 0.0003957407362774728, + "loss": 1.124, + "step": 9794 + }, + { + "epoch": 0.859703064529843, + "grad_norm": 0.046875, + "learning_rate": 0.00039558392800676385, + "loss": 1.1312, + "step": 9795 + }, + { + "epoch": 0.8597908341127455, + "grad_norm": 0.0458984375, + "learning_rate": 0.00039542724354195755, + "loss": 1.1543, + "step": 9796 + }, + { + "epoch": 0.859878603695648, + "grad_norm": 0.047119140625, + "learning_rate": 0.0003952706828985183, + "loss": 1.154, + "step": 9797 + }, + { + "epoch": 0.8599663732785505, + "grad_norm": 0.051025390625, + "learning_rate": 0.000395114246091898, + "loss": 1.1432, + "step": 9798 + }, + { + "epoch": 0.860054142861453, + "grad_norm": 0.048095703125, + "learning_rate": 0.00039495793313753635, + "loss": 1.1728, + "step": 9799 + }, + { + "epoch": 0.8601419124443554, + "grad_norm": 0.05224609375, + "learning_rate": 0.0003948017440508607, + "loss": 1.1807, + "step": 9800 + }, + { + "epoch": 0.8602296820272579, + "grad_norm": 0.051513671875, + "learning_rate": 0.00039464567884728627, + "loss": 1.1476, + "step": 9801 + }, + { + "epoch": 0.8603174516101604, + "grad_norm": 0.0478515625, + "learning_rate": 0.0003944897375422162, + "loss": 1.1364, + "step": 9802 + }, + { + "epoch": 0.860405221193063, + "grad_norm": 0.06396484375, + "learning_rate": 0.0003943339201510411, + "loss": 1.1502, + "step": 9803 + }, + { + "epoch": 0.8604929907759654, + "grad_norm": 0.041748046875, + "learning_rate": 0.0003941782266891399, + "loss": 1.1092, + "step": 9804 + }, + { + "epoch": 0.8605807603588679, + "grad_norm": 0.0478515625, + "learning_rate": 0.00039402265717187877, + "loss": 1.1427, + "step": 9805 + }, + { + "epoch": 0.8606685299417703, + "grad_norm": 0.06005859375, + "learning_rate": 0.00039386721161461125, + "loss": 1.1597, + "step": 9806 + }, + { + "epoch": 0.8607562995246728, + "grad_norm": 0.05419921875, + "learning_rate": 0.00039371189003268014, + "loss": 1.1643, + "step": 9807 + }, + { + "epoch": 0.8608440691075754, + "grad_norm": 0.052001953125, + "learning_rate": 0.00039355669244141425, + "loss": 1.1377, + "step": 9808 + }, + { + "epoch": 0.8609318386904778, + "grad_norm": 0.048095703125, + "learning_rate": 0.00039340161885613147, + "loss": 1.0785, + "step": 9809 + }, + { + "epoch": 0.8610196082733803, + "grad_norm": 0.0615234375, + "learning_rate": 0.0003932466692921367, + "loss": 1.1626, + "step": 9810 + }, + { + "epoch": 0.8611073778562828, + "grad_norm": 0.0634765625, + "learning_rate": 0.00039309184376472333, + "loss": 1.0934, + "step": 9811 + }, + { + "epoch": 0.8611951474391852, + "grad_norm": 0.0498046875, + "learning_rate": 0.0003929371422891713, + "loss": 1.1034, + "step": 9812 + }, + { + "epoch": 0.8612829170220878, + "grad_norm": 0.044189453125, + "learning_rate": 0.00039278256488074943, + "loss": 1.1235, + "step": 9813 + }, + { + "epoch": 0.8613706866049903, + "grad_norm": 0.04638671875, + "learning_rate": 0.00039262811155471377, + "loss": 1.1675, + "step": 9814 + }, + { + "epoch": 0.8614584561878927, + "grad_norm": 0.049560546875, + "learning_rate": 0.00039247378232630845, + "loss": 1.1094, + "step": 9815 + }, + { + "epoch": 0.8615462257707952, + "grad_norm": 0.04736328125, + "learning_rate": 0.00039231957721076505, + "loss": 1.1157, + "step": 9816 + }, + { + "epoch": 0.8616339953536977, + "grad_norm": 0.04443359375, + "learning_rate": 0.00039216549622330283, + "loss": 1.1869, + "step": 9817 + }, + { + "epoch": 0.8617217649366002, + "grad_norm": 0.046630859375, + "learning_rate": 0.0003920115393791293, + "loss": 1.1278, + "step": 9818 + }, + { + "epoch": 0.8618095345195027, + "grad_norm": 0.052734375, + "learning_rate": 0.0003918577066934393, + "loss": 1.1371, + "step": 9819 + }, + { + "epoch": 0.8618973041024052, + "grad_norm": 0.044677734375, + "learning_rate": 0.00039170399818141526, + "loss": 1.1693, + "step": 9820 + }, + { + "epoch": 0.8619850736853076, + "grad_norm": 0.0478515625, + "learning_rate": 0.00039155041385822786, + "loss": 1.1107, + "step": 9821 + }, + { + "epoch": 0.8620728432682101, + "grad_norm": 0.045166015625, + "learning_rate": 0.000391396953739035, + "loss": 1.103, + "step": 9822 + }, + { + "epoch": 0.8621606128511126, + "grad_norm": 0.04736328125, + "learning_rate": 0.00039124361783898315, + "loss": 1.1765, + "step": 9823 + }, + { + "epoch": 0.8622483824340151, + "grad_norm": 0.046875, + "learning_rate": 0.00039109040617320534, + "loss": 1.1602, + "step": 9824 + }, + { + "epoch": 0.8623361520169176, + "grad_norm": 0.0439453125, + "learning_rate": 0.00039093731875682313, + "loss": 1.1121, + "step": 9825 + }, + { + "epoch": 0.8624239215998201, + "grad_norm": 0.048828125, + "learning_rate": 0.00039078435560494537, + "loss": 1.1673, + "step": 9826 + }, + { + "epoch": 0.8625116911827225, + "grad_norm": 0.046875, + "learning_rate": 0.0003906315167326698, + "loss": 1.1765, + "step": 9827 + }, + { + "epoch": 0.862599460765625, + "grad_norm": 0.046142578125, + "learning_rate": 0.00039047880215508035, + "loss": 1.098, + "step": 9828 + }, + { + "epoch": 0.8626872303485276, + "grad_norm": 0.04296875, + "learning_rate": 0.0003903262118872493, + "loss": 1.0526, + "step": 9829 + }, + { + "epoch": 0.86277499993143, + "grad_norm": 0.046142578125, + "learning_rate": 0.00039017374594423683, + "loss": 1.1724, + "step": 9830 + }, + { + "epoch": 0.8628627695143325, + "grad_norm": 0.046875, + "learning_rate": 0.00039002140434109115, + "loss": 1.1691, + "step": 9831 + }, + { + "epoch": 0.862950539097235, + "grad_norm": 0.062255859375, + "learning_rate": 0.00038986918709284706, + "loss": 1.1355, + "step": 9832 + }, + { + "epoch": 0.8630383086801374, + "grad_norm": 0.04541015625, + "learning_rate": 0.0003897170942145279, + "loss": 1.1531, + "step": 9833 + }, + { + "epoch": 0.86312607826304, + "grad_norm": 0.052490234375, + "learning_rate": 0.00038956512572114517, + "loss": 1.1456, + "step": 9834 + }, + { + "epoch": 0.8632138478459425, + "grad_norm": 0.046875, + "learning_rate": 0.0003894132816276974, + "loss": 1.1688, + "step": 9835 + }, + { + "epoch": 0.8633016174288449, + "grad_norm": 0.0458984375, + "learning_rate": 0.0003892615619491704, + "loss": 1.1386, + "step": 9836 + }, + { + "epoch": 0.8633893870117474, + "grad_norm": 0.046630859375, + "learning_rate": 0.0003891099667005389, + "loss": 1.1209, + "step": 9837 + }, + { + "epoch": 0.8634771565946499, + "grad_norm": 0.047607421875, + "learning_rate": 0.00038895849589676474, + "loss": 1.0883, + "step": 9838 + }, + { + "epoch": 0.8635649261775524, + "grad_norm": 0.04833984375, + "learning_rate": 0.0003888071495527973, + "loss": 1.1014, + "step": 9839 + }, + { + "epoch": 0.8636526957604549, + "grad_norm": 0.04541015625, + "learning_rate": 0.00038865592768357385, + "loss": 1.1076, + "step": 9840 + }, + { + "epoch": 0.8637404653433574, + "grad_norm": 0.05126953125, + "learning_rate": 0.00038850483030401935, + "loss": 1.1548, + "step": 9841 + }, + { + "epoch": 0.8638282349262598, + "grad_norm": 0.046630859375, + "learning_rate": 0.00038835385742904663, + "loss": 1.121, + "step": 9842 + }, + { + "epoch": 0.8639160045091623, + "grad_norm": 0.046142578125, + "learning_rate": 0.00038820300907355646, + "loss": 1.1375, + "step": 9843 + }, + { + "epoch": 0.8640037740920649, + "grad_norm": 0.050537109375, + "learning_rate": 0.00038805228525243637, + "loss": 1.1382, + "step": 9844 + }, + { + "epoch": 0.8640915436749673, + "grad_norm": 0.053955078125, + "learning_rate": 0.00038790168598056235, + "loss": 1.1999, + "step": 9845 + }, + { + "epoch": 0.8641793132578698, + "grad_norm": 0.0439453125, + "learning_rate": 0.0003877512112727982, + "loss": 1.1439, + "step": 9846 + }, + { + "epoch": 0.8642670828407722, + "grad_norm": 0.046630859375, + "learning_rate": 0.0003876008611439948, + "loss": 1.0809, + "step": 9847 + }, + { + "epoch": 0.8643548524236747, + "grad_norm": 0.04638671875, + "learning_rate": 0.0003874506356089915, + "loss": 1.0693, + "step": 9848 + }, + { + "epoch": 0.8644426220065773, + "grad_norm": 0.04736328125, + "learning_rate": 0.00038730053468261484, + "loss": 1.1688, + "step": 9849 + }, + { + "epoch": 0.8645303915894798, + "grad_norm": 0.045166015625, + "learning_rate": 0.00038715055837967925, + "loss": 1.1314, + "step": 9850 + }, + { + "epoch": 0.8646181611723822, + "grad_norm": 0.042724609375, + "learning_rate": 0.00038700070671498653, + "loss": 1.1156, + "step": 9851 + }, + { + "epoch": 0.8647059307552847, + "grad_norm": 0.05712890625, + "learning_rate": 0.0003868509797033266, + "loss": 1.2144, + "step": 9852 + }, + { + "epoch": 0.8647937003381871, + "grad_norm": 0.0498046875, + "learning_rate": 0.0003867013773594771, + "loss": 1.1408, + "step": 9853 + }, + { + "epoch": 0.8648814699210896, + "grad_norm": 0.04736328125, + "learning_rate": 0.0003865518996982029, + "loss": 1.2124, + "step": 9854 + }, + { + "epoch": 0.8649692395039922, + "grad_norm": 0.048828125, + "learning_rate": 0.0003864025467342573, + "loss": 1.1662, + "step": 9855 + }, + { + "epoch": 0.8650570090868946, + "grad_norm": 0.046875, + "learning_rate": 0.00038625331848238, + "loss": 1.1644, + "step": 9856 + }, + { + "epoch": 0.8651447786697971, + "grad_norm": 0.0498046875, + "learning_rate": 0.00038610421495729997, + "loss": 1.1365, + "step": 9857 + }, + { + "epoch": 0.8652325482526996, + "grad_norm": 0.04736328125, + "learning_rate": 0.00038595523617373313, + "loss": 1.1616, + "step": 9858 + }, + { + "epoch": 0.865320317835602, + "grad_norm": 0.046630859375, + "learning_rate": 0.0003858063821463829, + "loss": 1.1559, + "step": 9859 + }, + { + "epoch": 0.8654080874185046, + "grad_norm": 0.04736328125, + "learning_rate": 0.00038565765288994043, + "loss": 1.1517, + "step": 9860 + }, + { + "epoch": 0.8654958570014071, + "grad_norm": 0.048095703125, + "learning_rate": 0.00038550904841908496, + "loss": 1.1731, + "step": 9861 + }, + { + "epoch": 0.8655836265843095, + "grad_norm": 0.044921875, + "learning_rate": 0.00038536056874848305, + "loss": 1.1627, + "step": 9862 + }, + { + "epoch": 0.865671396167212, + "grad_norm": 0.047119140625, + "learning_rate": 0.0003852122138927891, + "loss": 1.1719, + "step": 9863 + }, + { + "epoch": 0.8657591657501145, + "grad_norm": 0.048583984375, + "learning_rate": 0.00038506398386664494, + "loss": 1.173, + "step": 9864 + }, + { + "epoch": 0.865846935333017, + "grad_norm": 0.047607421875, + "learning_rate": 0.0003849158786846807, + "loss": 1.1164, + "step": 9865 + }, + { + "epoch": 0.8659347049159195, + "grad_norm": 0.044921875, + "learning_rate": 0.00038476789836151343, + "loss": 1.152, + "step": 9866 + }, + { + "epoch": 0.866022474498822, + "grad_norm": 0.0439453125, + "learning_rate": 0.00038462004291174833, + "loss": 1.1, + "step": 9867 + }, + { + "epoch": 0.8661102440817244, + "grad_norm": 0.04833984375, + "learning_rate": 0.0003844723123499781, + "loss": 1.1117, + "step": 9868 + }, + { + "epoch": 0.8661980136646269, + "grad_norm": 0.048828125, + "learning_rate": 0.00038432470669078333, + "loss": 1.1363, + "step": 9869 + }, + { + "epoch": 0.8662857832475295, + "grad_norm": 0.048583984375, + "learning_rate": 0.0003841772259487321, + "loss": 1.123, + "step": 9870 + }, + { + "epoch": 0.8663735528304319, + "grad_norm": 0.047607421875, + "learning_rate": 0.0003840298701383797, + "loss": 1.1536, + "step": 9871 + }, + { + "epoch": 0.8664613224133344, + "grad_norm": 0.05126953125, + "learning_rate": 0.0003838826392742702, + "loss": 1.193, + "step": 9872 + }, + { + "epoch": 0.8665490919962369, + "grad_norm": 0.049560546875, + "learning_rate": 0.0003837355333709343, + "loss": 1.2064, + "step": 9873 + }, + { + "epoch": 0.8666368615791393, + "grad_norm": 0.055419921875, + "learning_rate": 0.000383588552442891, + "loss": 1.1672, + "step": 9874 + }, + { + "epoch": 0.8667246311620419, + "grad_norm": 0.0458984375, + "learning_rate": 0.00038344169650464654, + "loss": 1.1275, + "step": 9875 + }, + { + "epoch": 0.8668124007449444, + "grad_norm": 0.072265625, + "learning_rate": 0.00038329496557069513, + "loss": 1.1471, + "step": 9876 + }, + { + "epoch": 0.8669001703278468, + "grad_norm": 0.04443359375, + "learning_rate": 0.0003831483596555183, + "loss": 1.2019, + "step": 9877 + }, + { + "epoch": 0.8669879399107493, + "grad_norm": 0.052001953125, + "learning_rate": 0.00038300187877358624, + "loss": 1.1238, + "step": 9878 + }, + { + "epoch": 0.8670757094936518, + "grad_norm": 0.0439453125, + "learning_rate": 0.000382855522939355, + "loss": 1.1119, + "step": 9879 + }, + { + "epoch": 0.8671634790765542, + "grad_norm": 0.045654296875, + "learning_rate": 0.00038270929216727004, + "loss": 1.1416, + "step": 9880 + }, + { + "epoch": 0.8672512486594568, + "grad_norm": 0.04541015625, + "learning_rate": 0.0003825631864717634, + "loss": 1.1716, + "step": 9881 + }, + { + "epoch": 0.8673390182423593, + "grad_norm": 0.05419921875, + "learning_rate": 0.0003824172058672554, + "loss": 1.1687, + "step": 9882 + }, + { + "epoch": 0.8674267878252617, + "grad_norm": 0.04638671875, + "learning_rate": 0.00038227135036815354, + "loss": 1.1712, + "step": 9883 + }, + { + "epoch": 0.8675145574081642, + "grad_norm": 0.044189453125, + "learning_rate": 0.0003821256199888533, + "loss": 1.1382, + "step": 9884 + }, + { + "epoch": 0.8676023269910667, + "grad_norm": 0.05029296875, + "learning_rate": 0.0003819800147437375, + "loss": 1.1416, + "step": 9885 + }, + { + "epoch": 0.8676900965739692, + "grad_norm": 0.051025390625, + "learning_rate": 0.00038183453464717723, + "loss": 1.1258, + "step": 9886 + }, + { + "epoch": 0.8677778661568717, + "grad_norm": 0.04638671875, + "learning_rate": 0.00038168917971353013, + "loss": 1.2058, + "step": 9887 + }, + { + "epoch": 0.8678656357397742, + "grad_norm": 0.0458984375, + "learning_rate": 0.00038154394995714265, + "loss": 1.1157, + "step": 9888 + }, + { + "epoch": 0.8679534053226766, + "grad_norm": 0.04541015625, + "learning_rate": 0.00038139884539234854, + "loss": 1.1964, + "step": 9889 + }, + { + "epoch": 0.8680411749055791, + "grad_norm": 0.04833984375, + "learning_rate": 0.00038125386603346853, + "loss": 1.1316, + "step": 9890 + }, + { + "epoch": 0.8681289444884817, + "grad_norm": 0.049560546875, + "learning_rate": 0.0003811090118948119, + "loss": 1.1649, + "step": 9891 + }, + { + "epoch": 0.8682167140713841, + "grad_norm": 0.059814453125, + "learning_rate": 0.0003809642829906748, + "loss": 1.2118, + "step": 9892 + }, + { + "epoch": 0.8683044836542866, + "grad_norm": 0.0439453125, + "learning_rate": 0.00038081967933534185, + "loss": 1.0604, + "step": 9893 + }, + { + "epoch": 0.868392253237189, + "grad_norm": 0.04638671875, + "learning_rate": 0.0003806752009430849, + "loss": 1.1295, + "step": 9894 + }, + { + "epoch": 0.8684800228200915, + "grad_norm": 0.050048828125, + "learning_rate": 0.0003805308478281628, + "loss": 1.1527, + "step": 9895 + }, + { + "epoch": 0.8685677924029941, + "grad_norm": 0.0517578125, + "learning_rate": 0.000380386620004823, + "loss": 1.1826, + "step": 9896 + }, + { + "epoch": 0.8686555619858966, + "grad_norm": 0.056396484375, + "learning_rate": 0.0003802425174873002, + "loss": 1.1031, + "step": 9897 + }, + { + "epoch": 0.868743331568799, + "grad_norm": 0.049072265625, + "learning_rate": 0.0003800985402898169, + "loss": 1.1868, + "step": 9898 + }, + { + "epoch": 0.8688311011517015, + "grad_norm": 0.049560546875, + "learning_rate": 0.0003799546884265828, + "loss": 1.1689, + "step": 9899 + }, + { + "epoch": 0.8689188707346039, + "grad_norm": 0.05029296875, + "learning_rate": 0.00037981096191179567, + "loss": 1.1208, + "step": 9900 + }, + { + "epoch": 0.8690066403175065, + "grad_norm": 0.0615234375, + "learning_rate": 0.0003796673607596408, + "loss": 1.1898, + "step": 9901 + }, + { + "epoch": 0.869094409900409, + "grad_norm": 0.0498046875, + "learning_rate": 0.0003795238849842908, + "loss": 1.1445, + "step": 9902 + }, + { + "epoch": 0.8691821794833114, + "grad_norm": 0.048828125, + "learning_rate": 0.00037938053459990646, + "loss": 1.1533, + "step": 9903 + }, + { + "epoch": 0.8692699490662139, + "grad_norm": 0.047607421875, + "learning_rate": 0.0003792373096206357, + "loss": 1.1398, + "step": 9904 + }, + { + "epoch": 0.8693577186491164, + "grad_norm": 0.044677734375, + "learning_rate": 0.00037909421006061437, + "loss": 1.1296, + "step": 9905 + }, + { + "epoch": 0.8694454882320188, + "grad_norm": 0.047607421875, + "learning_rate": 0.0003789512359339659, + "loss": 1.1569, + "step": 9906 + }, + { + "epoch": 0.8695332578149214, + "grad_norm": 0.0478515625, + "learning_rate": 0.00037880838725480077, + "loss": 1.1752, + "step": 9907 + }, + { + "epoch": 0.8696210273978239, + "grad_norm": 0.046875, + "learning_rate": 0.00037866566403721826, + "loss": 1.1446, + "step": 9908 + }, + { + "epoch": 0.8697087969807263, + "grad_norm": 0.048828125, + "learning_rate": 0.00037852306629530445, + "loss": 1.2035, + "step": 9909 + }, + { + "epoch": 0.8697965665636288, + "grad_norm": 0.048095703125, + "learning_rate": 0.00037838059404313276, + "loss": 1.1532, + "step": 9910 + }, + { + "epoch": 0.8698843361465313, + "grad_norm": 0.04833984375, + "learning_rate": 0.0003782382472947649, + "loss": 1.1863, + "step": 9911 + }, + { + "epoch": 0.8699721057294338, + "grad_norm": 0.053466796875, + "learning_rate": 0.00037809602606425, + "loss": 1.1602, + "step": 9912 + }, + { + "epoch": 0.8700598753123363, + "grad_norm": 0.046142578125, + "learning_rate": 0.0003779539303656247, + "loss": 1.128, + "step": 9913 + }, + { + "epoch": 0.8701476448952388, + "grad_norm": 0.05126953125, + "learning_rate": 0.00037781196021291323, + "loss": 1.1514, + "step": 9914 + }, + { + "epoch": 0.8702354144781412, + "grad_norm": 0.052978515625, + "learning_rate": 0.0003776701156201274, + "loss": 1.0894, + "step": 9915 + }, + { + "epoch": 0.8703231840610437, + "grad_norm": 0.04443359375, + "learning_rate": 0.0003775283966012667, + "loss": 1.1332, + "step": 9916 + }, + { + "epoch": 0.8704109536439463, + "grad_norm": 0.048095703125, + "learning_rate": 0.00037738680317031856, + "loss": 1.1748, + "step": 9917 + }, + { + "epoch": 0.8704987232268487, + "grad_norm": 0.04833984375, + "learning_rate": 0.0003772453353412573, + "loss": 1.1544, + "step": 9918 + }, + { + "epoch": 0.8705864928097512, + "grad_norm": 0.043212890625, + "learning_rate": 0.0003771039931280455, + "loss": 1.1327, + "step": 9919 + }, + { + "epoch": 0.8706742623926537, + "grad_norm": 0.0498046875, + "learning_rate": 0.0003769627765446329, + "loss": 1.1258, + "step": 9920 + }, + { + "epoch": 0.8707620319755561, + "grad_norm": 0.052001953125, + "learning_rate": 0.0003768216856049574, + "loss": 1.1451, + "step": 9921 + }, + { + "epoch": 0.8708498015584587, + "grad_norm": 0.050048828125, + "learning_rate": 0.00037668072032294355, + "loss": 1.2127, + "step": 9922 + }, + { + "epoch": 0.8709375711413612, + "grad_norm": 0.04736328125, + "learning_rate": 0.0003765398807125043, + "loss": 1.1144, + "step": 9923 + }, + { + "epoch": 0.8710253407242636, + "grad_norm": 0.05029296875, + "learning_rate": 0.0003763991667875401, + "loss": 1.136, + "step": 9924 + }, + { + "epoch": 0.8711131103071661, + "grad_norm": 0.0478515625, + "learning_rate": 0.00037625857856193884, + "loss": 1.1095, + "step": 9925 + }, + { + "epoch": 0.8712008798900686, + "grad_norm": 0.04345703125, + "learning_rate": 0.00037611811604957587, + "loss": 1.0732, + "step": 9926 + }, + { + "epoch": 0.8712886494729711, + "grad_norm": 0.0498046875, + "learning_rate": 0.000375977779264314, + "loss": 1.1608, + "step": 9927 + }, + { + "epoch": 0.8713764190558736, + "grad_norm": 0.046630859375, + "learning_rate": 0.00037583756822000454, + "loss": 1.1846, + "step": 9928 + }, + { + "epoch": 0.8714641886387761, + "grad_norm": 0.044189453125, + "learning_rate": 0.00037569748293048567, + "loss": 1.1692, + "step": 9929 + }, + { + "epoch": 0.8715519582216785, + "grad_norm": 0.04638671875, + "learning_rate": 0.00037555752340958303, + "loss": 1.1975, + "step": 9930 + }, + { + "epoch": 0.871639727804581, + "grad_norm": 0.046875, + "learning_rate": 0.0003754176896711099, + "loss": 1.1741, + "step": 9931 + }, + { + "epoch": 0.8717274973874836, + "grad_norm": 0.04736328125, + "learning_rate": 0.00037527798172886756, + "loss": 1.144, + "step": 9932 + }, + { + "epoch": 0.871815266970386, + "grad_norm": 0.048583984375, + "learning_rate": 0.00037513839959664474, + "loss": 1.0925, + "step": 9933 + }, + { + "epoch": 0.8719030365532885, + "grad_norm": 0.045166015625, + "learning_rate": 0.0003749989432882175, + "loss": 1.1693, + "step": 9934 + }, + { + "epoch": 0.871990806136191, + "grad_norm": 0.044921875, + "learning_rate": 0.0003748596128173496, + "loss": 1.1317, + "step": 9935 + }, + { + "epoch": 0.8720785757190934, + "grad_norm": 0.0439453125, + "learning_rate": 0.00037472040819779234, + "loss": 1.0846, + "step": 9936 + }, + { + "epoch": 0.8721663453019959, + "grad_norm": 0.045166015625, + "learning_rate": 0.00037458132944328474, + "loss": 1.123, + "step": 9937 + }, + { + "epoch": 0.8722541148848985, + "grad_norm": 0.04443359375, + "learning_rate": 0.0003744423765675535, + "loss": 1.1483, + "step": 9938 + }, + { + "epoch": 0.8723418844678009, + "grad_norm": 0.049072265625, + "learning_rate": 0.0003743035495843124, + "loss": 1.1288, + "step": 9939 + }, + { + "epoch": 0.8724296540507034, + "grad_norm": 0.04736328125, + "learning_rate": 0.00037416484850726366, + "loss": 1.1846, + "step": 9940 + }, + { + "epoch": 0.8725174236336058, + "grad_norm": 0.04541015625, + "learning_rate": 0.0003740262733500957, + "loss": 1.2011, + "step": 9941 + }, + { + "epoch": 0.8726051932165083, + "grad_norm": 0.04443359375, + "learning_rate": 0.000373887824126486, + "loss": 1.1778, + "step": 9942 + }, + { + "epoch": 0.8726929627994109, + "grad_norm": 0.052490234375, + "learning_rate": 0.00037374950085009863, + "loss": 1.2031, + "step": 9943 + }, + { + "epoch": 0.8727807323823134, + "grad_norm": 0.044677734375, + "learning_rate": 0.00037361130353458574, + "loss": 1.1577, + "step": 9944 + }, + { + "epoch": 0.8728685019652158, + "grad_norm": 0.0498046875, + "learning_rate": 0.00037347323219358693, + "loss": 1.1761, + "step": 9945 + }, + { + "epoch": 0.8729562715481183, + "grad_norm": 0.043212890625, + "learning_rate": 0.000373335286840729, + "loss": 1.1342, + "step": 9946 + }, + { + "epoch": 0.8730440411310207, + "grad_norm": 0.045654296875, + "learning_rate": 0.00037319746748962646, + "loss": 1.1175, + "step": 9947 + }, + { + "epoch": 0.8731318107139233, + "grad_norm": 0.051025390625, + "learning_rate": 0.0003730597741538822, + "loss": 1.1262, + "step": 9948 + }, + { + "epoch": 0.8732195802968258, + "grad_norm": 0.046142578125, + "learning_rate": 0.00037292220684708555, + "loss": 1.1144, + "step": 9949 + }, + { + "epoch": 0.8733073498797282, + "grad_norm": 0.048828125, + "learning_rate": 0.00037278476558281386, + "loss": 1.1561, + "step": 9950 + }, + { + "epoch": 0.8733951194626307, + "grad_norm": 0.046875, + "learning_rate": 0.00037264745037463205, + "loss": 1.1134, + "step": 9951 + }, + { + "epoch": 0.8734828890455332, + "grad_norm": 0.04736328125, + "learning_rate": 0.00037251026123609303, + "loss": 1.2114, + "step": 9952 + }, + { + "epoch": 0.8735706586284357, + "grad_norm": 0.0478515625, + "learning_rate": 0.0003723731981807362, + "loss": 1.1304, + "step": 9953 + }, + { + "epoch": 0.8736584282113382, + "grad_norm": 0.048095703125, + "learning_rate": 0.00037223626122208933, + "loss": 1.1971, + "step": 9954 + }, + { + "epoch": 0.8737461977942407, + "grad_norm": 0.046142578125, + "learning_rate": 0.0003720994503736676, + "loss": 1.0968, + "step": 9955 + }, + { + "epoch": 0.8738339673771431, + "grad_norm": 0.0498046875, + "learning_rate": 0.00037196276564897384, + "loss": 1.1628, + "step": 9956 + }, + { + "epoch": 0.8739217369600456, + "grad_norm": 0.05712890625, + "learning_rate": 0.000371826207061498, + "loss": 1.1351, + "step": 9957 + }, + { + "epoch": 0.8740095065429482, + "grad_norm": 0.0498046875, + "learning_rate": 0.0003716897746247183, + "loss": 1.1524, + "step": 9958 + }, + { + "epoch": 0.8740972761258506, + "grad_norm": 0.058837890625, + "learning_rate": 0.0003715534683520997, + "loss": 1.1715, + "step": 9959 + }, + { + "epoch": 0.8741850457087531, + "grad_norm": 0.04443359375, + "learning_rate": 0.0003714172882570953, + "loss": 1.1306, + "step": 9960 + }, + { + "epoch": 0.8742728152916556, + "grad_norm": 0.049072265625, + "learning_rate": 0.0003712812343531454, + "loss": 1.2196, + "step": 9961 + }, + { + "epoch": 0.874360584874558, + "grad_norm": 0.04736328125, + "learning_rate": 0.00037114530665367795, + "loss": 1.1467, + "step": 9962 + }, + { + "epoch": 0.8744483544574605, + "grad_norm": 0.05810546875, + "learning_rate": 0.0003710095051721086, + "loss": 1.116, + "step": 9963 + }, + { + "epoch": 0.8745361240403631, + "grad_norm": 0.056640625, + "learning_rate": 0.00037087382992184053, + "loss": 1.1046, + "step": 9964 + }, + { + "epoch": 0.8746238936232655, + "grad_norm": 0.045654296875, + "learning_rate": 0.0003707382809162641, + "loss": 1.1149, + "step": 9965 + }, + { + "epoch": 0.874711663206168, + "grad_norm": 0.045654296875, + "learning_rate": 0.0003706028581687575, + "loss": 1.1651, + "step": 9966 + }, + { + "epoch": 0.8747994327890705, + "grad_norm": 0.048095703125, + "learning_rate": 0.0003704675616926862, + "loss": 1.1624, + "step": 9967 + }, + { + "epoch": 0.8748872023719729, + "grad_norm": 0.04931640625, + "learning_rate": 0.0003703323915014043, + "loss": 1.1245, + "step": 9968 + }, + { + "epoch": 0.8749749719548755, + "grad_norm": 0.051513671875, + "learning_rate": 0.00037019734760825154, + "loss": 1.114, + "step": 9969 + }, + { + "epoch": 0.875062741537778, + "grad_norm": 0.05078125, + "learning_rate": 0.0003700624300265568, + "loss": 1.1565, + "step": 9970 + }, + { + "epoch": 0.8751505111206804, + "grad_norm": 0.068359375, + "learning_rate": 0.0003699276387696357, + "loss": 1.1222, + "step": 9971 + }, + { + "epoch": 0.8752382807035829, + "grad_norm": 0.042724609375, + "learning_rate": 0.00036979297385079186, + "loss": 1.1451, + "step": 9972 + }, + { + "epoch": 0.8753260502864854, + "grad_norm": 0.048583984375, + "learning_rate": 0.0003696584352833158, + "loss": 1.162, + "step": 9973 + }, + { + "epoch": 0.8754138198693879, + "grad_norm": 0.048828125, + "learning_rate": 0.0003695240230804862, + "loss": 1.1655, + "step": 9974 + }, + { + "epoch": 0.8755015894522904, + "grad_norm": 0.044189453125, + "learning_rate": 0.0003693897372555688, + "loss": 1.125, + "step": 9975 + }, + { + "epoch": 0.8755893590351929, + "grad_norm": 0.04443359375, + "learning_rate": 0.0003692555778218175, + "loss": 1.1609, + "step": 9976 + }, + { + "epoch": 0.8756771286180953, + "grad_norm": 0.04931640625, + "learning_rate": 0.0003691215447924726, + "loss": 1.1157, + "step": 9977 + }, + { + "epoch": 0.8757648982009978, + "grad_norm": 0.054931640625, + "learning_rate": 0.00036898763818076315, + "loss": 1.1267, + "step": 9978 + }, + { + "epoch": 0.8758526677839004, + "grad_norm": 0.045654296875, + "learning_rate": 0.0003688538579999053, + "loss": 1.099, + "step": 9979 + }, + { + "epoch": 0.8759404373668028, + "grad_norm": 0.051025390625, + "learning_rate": 0.0003687202042631025, + "loss": 1.1694, + "step": 9980 + }, + { + "epoch": 0.8760282069497053, + "grad_norm": 0.054443359375, + "learning_rate": 0.0003685866769835455, + "loss": 1.1847, + "step": 9981 + }, + { + "epoch": 0.8761159765326078, + "grad_norm": 0.046630859375, + "learning_rate": 0.0003684532761744132, + "loss": 1.1332, + "step": 9982 + }, + { + "epoch": 0.8762037461155102, + "grad_norm": 0.04736328125, + "learning_rate": 0.00036832000184887175, + "loss": 1.2232, + "step": 9983 + }, + { + "epoch": 0.8762915156984128, + "grad_norm": 0.0517578125, + "learning_rate": 0.0003681868540200751, + "loss": 1.1645, + "step": 9984 + }, + { + "epoch": 0.8763792852813153, + "grad_norm": 0.047119140625, + "learning_rate": 0.00036805383270116374, + "loss": 1.1652, + "step": 9985 + }, + { + "epoch": 0.8764670548642177, + "grad_norm": 0.046630859375, + "learning_rate": 0.00036792093790526673, + "loss": 1.1228, + "step": 9986 + }, + { + "epoch": 0.8765548244471202, + "grad_norm": 0.04345703125, + "learning_rate": 0.0003677881696455001, + "loss": 1.0418, + "step": 9987 + }, + { + "epoch": 0.8766425940300226, + "grad_norm": 0.044921875, + "learning_rate": 0.00036765552793496787, + "loss": 1.165, + "step": 9988 + }, + { + "epoch": 0.8767303636129252, + "grad_norm": 0.047119140625, + "learning_rate": 0.0003675230127867609, + "loss": 1.1381, + "step": 9989 + }, + { + "epoch": 0.8768181331958277, + "grad_norm": 0.048583984375, + "learning_rate": 0.0003673906242139581, + "loss": 1.1614, + "step": 9990 + }, + { + "epoch": 0.8769059027787302, + "grad_norm": 0.043212890625, + "learning_rate": 0.0003672583622296259, + "loss": 1.129, + "step": 9991 + }, + { + "epoch": 0.8769936723616326, + "grad_norm": 0.042724609375, + "learning_rate": 0.0003671262268468177, + "loss": 1.1133, + "step": 9992 + }, + { + "epoch": 0.8770814419445351, + "grad_norm": 0.045654296875, + "learning_rate": 0.0003669942180785746, + "loss": 1.123, + "step": 9993 + }, + { + "epoch": 0.8771692115274375, + "grad_norm": 0.04541015625, + "learning_rate": 0.00036686233593792567, + "loss": 1.1622, + "step": 9994 + }, + { + "epoch": 0.8772569811103401, + "grad_norm": 0.04638671875, + "learning_rate": 0.00036673058043788705, + "loss": 1.134, + "step": 9995 + }, + { + "epoch": 0.8773447506932426, + "grad_norm": 0.05029296875, + "learning_rate": 0.00036659895159146273, + "loss": 1.1804, + "step": 9996 + }, + { + "epoch": 0.877432520276145, + "grad_norm": 0.05029296875, + "learning_rate": 0.00036646744941164336, + "loss": 1.1165, + "step": 9997 + }, + { + "epoch": 0.8775202898590475, + "grad_norm": 0.044677734375, + "learning_rate": 0.00036633607391140823, + "loss": 1.0902, + "step": 9998 + }, + { + "epoch": 0.87760805944195, + "grad_norm": 0.044189453125, + "learning_rate": 0.00036620482510372354, + "loss": 1.1392, + "step": 9999 + }, + { + "epoch": 0.8776958290248525, + "grad_norm": 0.055419921875, + "learning_rate": 0.0003660737030015428, + "loss": 1.1464, + "step": 10000 + }, + { + "epoch": 0.8776958290248525, + "eval_loss": 1.1333048343658447, + "eval_runtime": 437.564, + "eval_samples_per_second": 33.687, + "eval_steps_per_second": 8.422, + "step": 10000 + } + ], + "logging_steps": 1.0, + "max_steps": 11000, + "num_input_tokens_seen": 0, + "num_train_epochs": 1, + "save_steps": 1000, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": false, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 4.948783792128e+18, + "train_batch_size": 4, + "trial_name": null, + "trial_params": null +}