{ "best_metric": null, "best_model_checkpoint": null, "epoch": 2.9302325581395348, "eval_steps": 11, "global_step": 129, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.02, "grad_norm": 22.073590049775476, "learning_rate": 2e-08, "loss": 1.5029, "step": 1 }, { "epoch": 0.02, "eval_loss": 1.5676738023757935, "eval_runtime": 1.7229, "eval_samples_per_second": 11.028, "eval_steps_per_second": 1.741, "step": 1 }, { "epoch": 0.05, "grad_norm": 21.339319978585014, "learning_rate": 4e-08, "loss": 1.5411, "step": 2 }, { "epoch": 0.07, "grad_norm": 21.89138128266215, "learning_rate": 6e-08, "loss": 1.535, "step": 3 }, { "epoch": 0.09, "grad_norm": 35.68832946989201, "learning_rate": 8e-08, "loss": 1.4248, "step": 4 }, { "epoch": 0.12, "grad_norm": 18.922589465764027, "learning_rate": 1e-07, "loss": 1.512, "step": 5 }, { "epoch": 0.14, "grad_norm": 22.05229837285426, "learning_rate": 1.2e-07, "loss": 1.5849, "step": 6 }, { "epoch": 0.16, "grad_norm": 29.050954317842017, "learning_rate": 1.4e-07, "loss": 1.4915, "step": 7 }, { "epoch": 0.19, "grad_norm": 16.415909544756897, "learning_rate": 1.6e-07, "loss": 1.4711, "step": 8 }, { "epoch": 0.21, "grad_norm": 24.72099068344741, "learning_rate": 1.8e-07, "loss": 1.5618, "step": 9 }, { "epoch": 0.23, "grad_norm": 15.495802280155232, "learning_rate": 2e-07, "loss": 1.5432, "step": 10 }, { "epoch": 0.26, "grad_norm": 15.385087340525107, "learning_rate": 2.1999999999999998e-07, "loss": 1.5892, "step": 11 }, { "epoch": 0.26, "eval_loss": 1.5673789978027344, "eval_runtime": 0.7198, "eval_samples_per_second": 26.396, "eval_steps_per_second": 4.168, "step": 11 }, { "epoch": 0.28, "grad_norm": 18.316263378494824, "learning_rate": 2.4e-07, "loss": 1.5068, "step": 12 }, { "epoch": 0.3, "grad_norm": 16.604978508847786, "learning_rate": 2.6e-07, "loss": 1.5079, "step": 13 }, { "epoch": 0.33, "grad_norm": 19.088434906193037, "learning_rate": 2.8e-07, "loss": 1.3923, "step": 14 }, { "epoch": 0.35, "grad_norm": 13.367337607829006, "learning_rate": 3e-07, "loss": 1.4215, "step": 15 }, { "epoch": 0.37, "grad_norm": 14.12443554856015, "learning_rate": 3.2e-07, "loss": 1.5182, "step": 16 }, { "epoch": 0.4, "grad_norm": 21.547074702210885, "learning_rate": 3.4000000000000003e-07, "loss": 1.6407, "step": 17 }, { "epoch": 0.42, "grad_norm": 19.983618321532845, "learning_rate": 3.6e-07, "loss": 1.6124, "step": 18 }, { "epoch": 0.44, "grad_norm": 14.12870699420598, "learning_rate": 3.7999999999999996e-07, "loss": 1.3535, "step": 19 }, { "epoch": 0.47, "grad_norm": 17.73177207632663, "learning_rate": 4e-07, "loss": 1.4723, "step": 20 }, { "epoch": 0.49, "grad_norm": 24.017411591807985, "learning_rate": 4.1999999999999995e-07, "loss": 1.3109, "step": 21 }, { "epoch": 0.51, "grad_norm": 15.47289342392699, "learning_rate": 4.3999999999999997e-07, "loss": 1.2975, "step": 22 }, { "epoch": 0.51, "eval_loss": 1.5646436214447021, "eval_runtime": 0.7176, "eval_samples_per_second": 26.478, "eval_steps_per_second": 4.181, "step": 22 }, { "epoch": 0.53, "grad_norm": 21.160644074933437, "learning_rate": 4.6e-07, "loss": 1.5044, "step": 23 }, { "epoch": 0.56, "grad_norm": 15.065995566576719, "learning_rate": 4.8e-07, "loss": 1.4756, "step": 24 }, { "epoch": 0.58, "grad_norm": 17.05786606459713, "learning_rate": 5e-07, "loss": 1.4934, "step": 25 }, { "epoch": 0.6, "grad_norm": 15.821412963269017, "learning_rate": 5.2e-07, "loss": 1.6885, "step": 26 }, { "epoch": 0.63, "grad_norm": 17.42199498977738, "learning_rate": 5.4e-07, "loss": 1.3696, "step": 27 }, { "epoch": 0.65, "grad_norm": 17.118541529912182, "learning_rate": 5.6e-07, "loss": 1.4963, "step": 28 }, { "epoch": 0.67, "grad_norm": 16.14285401779511, "learning_rate": 5.8e-07, "loss": 1.523, "step": 29 }, { "epoch": 0.7, "grad_norm": 14.413715273595537, "learning_rate": 6e-07, "loss": 1.4205, "step": 30 }, { "epoch": 0.72, "grad_norm": 15.696143212367938, "learning_rate": 6.2e-07, "loss": 1.417, "step": 31 }, { "epoch": 0.74, "grad_norm": 18.422902888255102, "learning_rate": 6.4e-07, "loss": 1.513, "step": 32 }, { "epoch": 0.77, "grad_norm": 15.348458059196757, "learning_rate": 6.6e-07, "loss": 1.6405, "step": 33 }, { "epoch": 0.77, "eval_loss": 1.558524489402771, "eval_runtime": 0.7067, "eval_samples_per_second": 26.885, "eval_steps_per_second": 4.245, "step": 33 }, { "epoch": 0.79, "grad_norm": 31.510016892264296, "learning_rate": 6.800000000000001e-07, "loss": 1.395, "step": 34 }, { "epoch": 0.81, "grad_norm": 15.63296379080965, "learning_rate": 7e-07, "loss": 1.5409, "step": 35 }, { "epoch": 0.84, "grad_norm": 15.627218592491115, "learning_rate": 7.2e-07, "loss": 1.3137, "step": 36 }, { "epoch": 0.86, "grad_norm": 15.337191607694441, "learning_rate": 7.4e-07, "loss": 1.7298, "step": 37 }, { "epoch": 0.88, "grad_norm": 16.11020188378557, "learning_rate": 7.599999999999999e-07, "loss": 1.403, "step": 38 }, { "epoch": 0.91, "grad_norm": 19.261102026351743, "learning_rate": 7.799999999999999e-07, "loss": 1.5199, "step": 39 }, { "epoch": 0.93, "grad_norm": 15.249059429242267, "learning_rate": 8e-07, "loss": 1.5028, "step": 40 }, { "epoch": 0.95, "grad_norm": 17.026025037114596, "learning_rate": 8.199999999999999e-07, "loss": 1.5746, "step": 41 }, { "epoch": 0.98, "grad_norm": 20.241389951964763, "learning_rate": 8.399999999999999e-07, "loss": 1.5432, "step": 42 }, { "epoch": 1.0, "grad_norm": 13.357942060394901, "learning_rate": 8.599999999999999e-07, "loss": 1.3017, "step": 43 }, { "epoch": 1.02, "grad_norm": 19.122899956188, "learning_rate": 8.799999999999999e-07, "loss": 1.4797, "step": 44 }, { "epoch": 1.02, "eval_loss": 1.5534765720367432, "eval_runtime": 0.7056, "eval_samples_per_second": 26.926, "eval_steps_per_second": 4.251, "step": 44 }, { "epoch": 1.05, "grad_norm": 12.993274416162807, "learning_rate": 9e-07, "loss": 1.3812, "step": 45 }, { "epoch": 1.02, "grad_norm": 15.57715477404305, "learning_rate": 9.2e-07, "loss": 1.5169, "step": 46 }, { "epoch": 1.05, "grad_norm": 15.047562025949741, "learning_rate": 9.399999999999999e-07, "loss": 1.597, "step": 47 }, { "epoch": 1.07, "grad_norm": 13.154118671073913, "learning_rate": 9.6e-07, "loss": 1.4144, "step": 48 }, { "epoch": 1.09, "grad_norm": 17.445553030977283, "learning_rate": 9.8e-07, "loss": 1.5843, "step": 49 }, { "epoch": 1.12, "grad_norm": 11.552943553949452, "learning_rate": 1e-06, "loss": 1.3343, "step": 50 }, { "epoch": 1.14, "grad_norm": 14.151856403767372, "learning_rate": 1.02e-06, "loss": 1.428, "step": 51 }, { "epoch": 1.16, "grad_norm": 12.579639490538433, "learning_rate": 1.04e-06, "loss": 1.4277, "step": 52 }, { "epoch": 1.19, "grad_norm": 13.03970026338736, "learning_rate": 1.06e-06, "loss": 1.3097, "step": 53 }, { "epoch": 1.21, "grad_norm": 18.55159266953034, "learning_rate": 1.08e-06, "loss": 1.4071, "step": 54 }, { "epoch": 1.23, "grad_norm": 17.185477508845405, "learning_rate": 1.1e-06, "loss": 1.4285, "step": 55 }, { "epoch": 1.23, "eval_loss": 1.5510258674621582, "eval_runtime": 0.7063, "eval_samples_per_second": 26.902, "eval_steps_per_second": 4.248, "step": 55 }, { "epoch": 1.26, "grad_norm": 12.433682723330731, "learning_rate": 1.12e-06, "loss": 1.4209, "step": 56 }, { "epoch": 1.28, "grad_norm": 17.533881821169835, "learning_rate": 1.1399999999999999e-06, "loss": 1.1525, "step": 57 }, { "epoch": 1.3, "grad_norm": 21.371274746194803, "learning_rate": 1.16e-06, "loss": 1.4803, "step": 58 }, { "epoch": 1.33, "grad_norm": 12.91252932992948, "learning_rate": 1.18e-06, "loss": 1.342, "step": 59 }, { "epoch": 1.35, "grad_norm": 15.301368123637772, "learning_rate": 1.2e-06, "loss": 1.3903, "step": 60 }, { "epoch": 1.37, "grad_norm": 20.669912185962247, "learning_rate": 1.22e-06, "loss": 1.3419, "step": 61 }, { "epoch": 1.4, "grad_norm": 14.306797274099731, "learning_rate": 1.24e-06, "loss": 1.3697, "step": 62 }, { "epoch": 1.42, "grad_norm": 14.399414559225576, "learning_rate": 1.26e-06, "loss": 1.4607, "step": 63 }, { "epoch": 1.44, "grad_norm": 14.679866284169409, "learning_rate": 1.28e-06, "loss": 1.4576, "step": 64 }, { "epoch": 1.47, "grad_norm": 15.66686870904599, "learning_rate": 1.3e-06, "loss": 1.4088, "step": 65 }, { "epoch": 1.49, "grad_norm": 15.299128708308798, "learning_rate": 1.32e-06, "loss": 1.565, "step": 66 }, { "epoch": 1.49, "eval_loss": 1.5496699810028076, "eval_runtime": 0.7108, "eval_samples_per_second": 26.732, "eval_steps_per_second": 4.221, "step": 66 }, { "epoch": 1.51, "grad_norm": 17.72956466975166, "learning_rate": 1.34e-06, "loss": 1.5139, "step": 67 }, { "epoch": 1.53, "grad_norm": 12.468931115539235, "learning_rate": 1.3600000000000001e-06, "loss": 1.4851, "step": 68 }, { "epoch": 1.56, "grad_norm": 18.51314016158734, "learning_rate": 1.38e-06, "loss": 1.3645, "step": 69 }, { "epoch": 1.58, "grad_norm": 14.247910195754642, "learning_rate": 1.4e-06, "loss": 1.3199, "step": 70 }, { "epoch": 1.6, "grad_norm": 14.996917407863565, "learning_rate": 1.42e-06, "loss": 1.5712, "step": 71 }, { "epoch": 1.63, "grad_norm": 13.685317610155064, "learning_rate": 1.44e-06, "loss": 1.37, "step": 72 }, { "epoch": 1.65, "grad_norm": 20.67582737513748, "learning_rate": 1.46e-06, "loss": 1.5281, "step": 73 }, { "epoch": 1.67, "grad_norm": 24.21873361894607, "learning_rate": 1.48e-06, "loss": 1.5432, "step": 74 }, { "epoch": 1.7, "grad_norm": 18.530551736423014, "learning_rate": 1.5e-06, "loss": 1.5514, "step": 75 }, { "epoch": 1.72, "grad_norm": 13.006185380590916, "learning_rate": 1.5199999999999998e-06, "loss": 1.3638, "step": 76 }, { "epoch": 1.74, "grad_norm": 16.338789878308003, "learning_rate": 1.5399999999999999e-06, "loss": 1.2469, "step": 77 }, { "epoch": 1.74, "eval_loss": 1.5485225915908813, "eval_runtime": 0.7202, "eval_samples_per_second": 26.383, "eval_steps_per_second": 4.166, "step": 77 }, { "epoch": 1.77, "grad_norm": 12.226940015138254, "learning_rate": 1.5599999999999999e-06, "loss": 1.2613, "step": 78 }, { "epoch": 1.79, "grad_norm": 16.35044079107655, "learning_rate": 1.58e-06, "loss": 1.3039, "step": 79 }, { "epoch": 1.81, "grad_norm": 16.425588490991444, "learning_rate": 1.6e-06, "loss": 1.5878, "step": 80 }, { "epoch": 1.84, "grad_norm": 23.31190960420298, "learning_rate": 1.62e-06, "loss": 1.1774, "step": 81 }, { "epoch": 1.86, "grad_norm": 12.69134252831033, "learning_rate": 1.6399999999999998e-06, "loss": 1.2935, "step": 82 }, { "epoch": 1.88, "grad_norm": 14.81387052352272, "learning_rate": 1.6599999999999998e-06, "loss": 1.2247, "step": 83 }, { "epoch": 1.91, "grad_norm": 12.705757722264147, "learning_rate": 1.6799999999999998e-06, "loss": 1.4163, "step": 84 }, { "epoch": 1.93, "grad_norm": 15.14994784808861, "learning_rate": 1.6999999999999998e-06, "loss": 1.329, "step": 85 }, { "epoch": 1.95, "grad_norm": 25.616427443741422, "learning_rate": 1.7199999999999998e-06, "loss": 1.3684, "step": 86 }, { "epoch": 1.98, "grad_norm": 14.45050387972439, "learning_rate": 1.7399999999999999e-06, "loss": 1.4462, "step": 87 }, { "epoch": 2.0, "grad_norm": 21.186429067007214, "learning_rate": 1.7599999999999999e-06, "loss": 1.6729, "step": 88 }, { "epoch": 2.0, "eval_loss": 1.5481523275375366, "eval_runtime": 0.7439, "eval_samples_per_second": 25.543, "eval_steps_per_second": 4.033, "step": 88 }, { "epoch": 2.02, "grad_norm": 16.215693014828933, "learning_rate": 1.78e-06, "loss": 1.399, "step": 89 }, { "epoch": 2.02, "grad_norm": 16.266362330190216, "learning_rate": 1.8e-06, "loss": 1.4634, "step": 90 }, { "epoch": 2.05, "grad_norm": 11.670525775431027, "learning_rate": 1.82e-06, "loss": 1.2869, "step": 91 }, { "epoch": 2.07, "grad_norm": 19.036151423939565, "learning_rate": 1.84e-06, "loss": 1.4018, "step": 92 }, { "epoch": 2.09, "grad_norm": 12.989617529943626, "learning_rate": 1.86e-06, "loss": 1.354, "step": 93 }, { "epoch": 2.12, "grad_norm": 13.461044054279371, "learning_rate": 1.8799999999999998e-06, "loss": 1.1984, "step": 94 }, { "epoch": 2.14, "grad_norm": 15.14966533026854, "learning_rate": 1.8999999999999998e-06, "loss": 1.2233, "step": 95 }, { "epoch": 2.16, "grad_norm": 16.64522841989231, "learning_rate": 1.92e-06, "loss": 1.2439, "step": 96 }, { "epoch": 2.19, "grad_norm": 15.286892650701205, "learning_rate": 1.94e-06, "loss": 1.312, "step": 97 }, { "epoch": 2.21, "grad_norm": 17.83944388305422, "learning_rate": 1.96e-06, "loss": 1.4154, "step": 98 }, { "epoch": 2.23, "grad_norm": 19.7098985928153, "learning_rate": 1.98e-06, "loss": 1.2883, "step": 99 }, { "epoch": 2.23, "eval_loss": 1.5585265159606934, "eval_runtime": 0.7291, "eval_samples_per_second": 26.059, "eval_steps_per_second": 4.115, "step": 99 }, { "epoch": 2.26, "grad_norm": 12.323486383746712, "learning_rate": 2e-06, "loss": 1.2074, "step": 100 }, { "epoch": 2.28, "grad_norm": 12.53366621130023, "learning_rate": 1.9996268812619105e-06, "loss": 1.2052, "step": 101 }, { "epoch": 2.3, "grad_norm": 13.525403457800772, "learning_rate": 1.998507803482828e-06, "loss": 1.443, "step": 102 }, { "epoch": 2.33, "grad_norm": 21.496984225945436, "learning_rate": 1.9966436017605294e-06, "loss": 1.2814, "step": 103 }, { "epoch": 2.35, "grad_norm": 13.853473081890478, "learning_rate": 1.9940356672322033e-06, "loss": 1.1953, "step": 104 }, { "epoch": 2.37, "grad_norm": 16.848081467071964, "learning_rate": 1.9906859460363304e-06, "loss": 1.079, "step": 105 }, { "epoch": 2.4, "grad_norm": 18.08619313399252, "learning_rate": 1.986596937860402e-06, "loss": 1.1758, "step": 106 }, { "epoch": 2.42, "grad_norm": 30.916344763492923, "learning_rate": 1.9817716940755586e-06, "loss": 1.2324, "step": 107 }, { "epoch": 2.44, "grad_norm": 17.258511861961132, "learning_rate": 1.9762138154595447e-06, "loss": 1.1936, "step": 108 }, { "epoch": 2.47, "grad_norm": 24.524385733499397, "learning_rate": 1.969927449509671e-06, "loss": 1.2165, "step": 109 }, { "epoch": 2.49, "grad_norm": 26.715644236526586, "learning_rate": 1.9629172873477994e-06, "loss": 1.2285, "step": 110 }, { "epoch": 2.49, "eval_loss": 1.5651321411132812, "eval_runtime": 0.7146, "eval_samples_per_second": 26.587, "eval_steps_per_second": 4.198, "step": 110 }, { "epoch": 2.51, "grad_norm": 17.531011515200536, "learning_rate": 1.955188560219648e-06, "loss": 1.4038, "step": 111 }, { "epoch": 2.53, "grad_norm": 18.16843193413544, "learning_rate": 1.9467470355910435e-06, "loss": 1.1457, "step": 112 }, { "epoch": 2.56, "grad_norm": 18.30477919577972, "learning_rate": 1.93759901284402e-06, "loss": 1.3241, "step": 113 }, { "epoch": 2.58, "grad_norm": 15.24159083916747, "learning_rate": 1.9277513185759843e-06, "loss": 1.1836, "step": 114 }, { "epoch": 2.6, "grad_norm": 17.98268651120172, "learning_rate": 1.9172113015054528e-06, "loss": 1.3287, "step": 115 }, { "epoch": 2.63, "grad_norm": 19.765482182043318, "learning_rate": 1.9059868269881636e-06, "loss": 1.2563, "step": 116 }, { "epoch": 2.65, "grad_norm": 15.321519585287346, "learning_rate": 1.894086271147651e-06, "loss": 1.333, "step": 117 }, { "epoch": 2.67, "grad_norm": 15.240451512494225, "learning_rate": 1.8815185146246715e-06, "loss": 1.303, "step": 118 }, { "epoch": 2.7, "grad_norm": 26.618086369471722, "learning_rate": 1.8682929359501337e-06, "loss": 1.1407, "step": 119 }, { "epoch": 2.72, "grad_norm": 16.760378227245127, "learning_rate": 1.8544194045464886e-06, "loss": 1.3433, "step": 120 }, { "epoch": 2.74, "grad_norm": 15.731131741212232, "learning_rate": 1.8399082733627965e-06, "loss": 1.2074, "step": 121 }, { "epoch": 2.74, "eval_loss": 1.563856601715088, "eval_runtime": 0.7192, "eval_samples_per_second": 26.42, "eval_steps_per_second": 4.172, "step": 121 }, { "epoch": 2.77, "grad_norm": 12.983444823217722, "learning_rate": 1.8247703711489684e-06, "loss": 1.3574, "step": 122 }, { "epoch": 2.79, "grad_norm": 12.49029286171803, "learning_rate": 1.8090169943749474e-06, "loss": 1.2959, "step": 123 }, { "epoch": 2.81, "grad_norm": 13.615451091420056, "learning_rate": 1.792659898800858e-06, "loss": 1.3111, "step": 124 }, { "epoch": 2.84, "grad_norm": 13.83043214333827, "learning_rate": 1.7757112907044198e-06, "loss": 1.164, "step": 125 }, { "epoch": 2.86, "grad_norm": 17.199617532425503, "learning_rate": 1.7581838177721627e-06, "loss": 1.2572, "step": 126 }, { "epoch": 2.88, "grad_norm": 13.886856649280148, "learning_rate": 1.7400905596612518e-06, "loss": 1.3808, "step": 127 }, { "epoch": 2.91, "grad_norm": 17.01161335716492, "learning_rate": 1.7214450182389558e-06, "loss": 1.2377, "step": 128 }, { "epoch": 2.93, "grad_norm": 16.95998475128064, "learning_rate": 1.7022611075070473e-06, "loss": 1.3853, "step": 129 } ], "logging_steps": 1, "max_steps": 215, "num_input_tokens_seen": 0, "num_train_epochs": 5, "save_steps": 43, "total_flos": 1.8034363315991347e+17, "train_batch_size": 1, "trial_name": null, "trial_params": null }