{ "best_metric": null, "best_model_checkpoint": null, "epoch": 1.0, "eval_steps": 500, "global_step": 625, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.0, "learning_rate": 0.00010526315789473683, "loss": 5.4515, "step": 1 }, { "epoch": 0.0, "learning_rate": 0.00021052631578947367, "loss": 6.0215, "step": 2 }, { "epoch": 0.0, "learning_rate": 0.00031578947368421053, "loss": 6.2311, "step": 3 }, { "epoch": 0.01, "learning_rate": 0.00042105263157894734, "loss": 5.2113, "step": 4 }, { "epoch": 0.01, "learning_rate": 0.0005263157894736842, "loss": 5.0409, "step": 5 }, { "epoch": 0.01, "learning_rate": 0.0006315789473684211, "loss": 5.3516, "step": 6 }, { "epoch": 0.01, "learning_rate": 0.0007368421052631579, "loss": 5.2804, "step": 7 }, { "epoch": 0.01, "learning_rate": 0.0008421052631578947, "loss": 4.9678, "step": 8 }, { "epoch": 0.01, "learning_rate": 0.0009473684210526315, "loss": 4.9647, "step": 9 }, { "epoch": 0.02, "learning_rate": 0.0010526315789473684, "loss": 5.0402, "step": 10 }, { "epoch": 0.02, "learning_rate": 0.0011578947368421054, "loss": 4.7197, "step": 11 }, { "epoch": 0.02, "learning_rate": 0.0012631578947368421, "loss": 5.1738, "step": 12 }, { "epoch": 0.02, "learning_rate": 0.001368421052631579, "loss": 5.2133, "step": 13 }, { "epoch": 0.02, "learning_rate": 0.0014736842105263158, "loss": 4.9841, "step": 14 }, { "epoch": 0.02, "learning_rate": 0.0015789473684210526, "loss": 4.4644, "step": 15 }, { "epoch": 0.03, "learning_rate": 0.0016842105263157893, "loss": 4.412, "step": 16 }, { "epoch": 0.03, "learning_rate": 0.0017894736842105263, "loss": 4.478, "step": 17 }, { "epoch": 0.03, "learning_rate": 0.001894736842105263, "loss": 4.2513, "step": 18 }, { "epoch": 0.03, "learning_rate": 0.002, "loss": 4.6071, "step": 19 }, { "epoch": 0.03, "learning_rate": 0.001999986562343701, "loss": 4.3444, "step": 20 }, { "epoch": 0.03, "learning_rate": 0.0019999462497359466, "loss": 4.3923, "step": 21 }, { "epoch": 0.04, "learning_rate": 0.0019998790632601497, "loss": 4.4753, "step": 22 }, { "epoch": 0.04, "learning_rate": 0.001999785004721968, "loss": 4.5168, "step": 23 }, { "epoch": 0.04, "learning_rate": 0.001999664076649254, "loss": 4.5299, "step": 24 }, { "epoch": 0.04, "learning_rate": 0.001999516282291988, "loss": 4.7895, "step": 25 }, { "epoch": 0.04, "learning_rate": 0.0019993416256221894, "loss": 4.3059, "step": 26 }, { "epoch": 0.04, "learning_rate": 0.00199914011133381, "loss": 3.8721, "step": 27 }, { "epoch": 0.04, "learning_rate": 0.0019989117448426107, "loss": 4.1483, "step": 28 }, { "epoch": 0.05, "learning_rate": 0.0019986565322860114, "loss": 3.9059, "step": 29 }, { "epoch": 0.05, "learning_rate": 0.0019983744805229294, "loss": 4.0775, "step": 30 }, { "epoch": 0.05, "learning_rate": 0.0019980655971335946, "loss": 3.9751, "step": 31 }, { "epoch": 0.05, "learning_rate": 0.001997729890419344, "loss": 4.1837, "step": 32 }, { "epoch": 0.05, "learning_rate": 0.0019973673694024, "loss": 4.3396, "step": 33 }, { "epoch": 0.05, "learning_rate": 0.0019969780438256293, "loss": 4.2908, "step": 34 }, { "epoch": 0.06, "learning_rate": 0.001996561924152278, "loss": 4.3025, "step": 35 }, { "epoch": 0.06, "learning_rate": 0.001996119021565693, "loss": 4.2087, "step": 36 }, { "epoch": 0.06, "learning_rate": 0.0019956493479690186, "loss": 4.2744, "step": 37 }, { "epoch": 0.06, "learning_rate": 0.0019951529159848804, "loss": 3.9765, "step": 38 }, { "epoch": 0.06, "learning_rate": 0.0019946297389550434, "loss": 3.7708, "step": 39 }, { "epoch": 0.06, "learning_rate": 0.0019940798309400526, "loss": 4.2166, "step": 40 }, { "epoch": 0.07, "learning_rate": 0.001993503206718859, "loss": 3.9336, "step": 41 }, { "epoch": 0.07, "learning_rate": 0.001992899881788418, "loss": 4.144, "step": 42 }, { "epoch": 0.07, "learning_rate": 0.0019922698723632767, "loss": 4.4668, "step": 43 }, { "epoch": 0.07, "learning_rate": 0.001991613195375134, "loss": 4.1637, "step": 44 }, { "epoch": 0.07, "learning_rate": 0.0019909298684723906, "loss": 3.8325, "step": 45 }, { "epoch": 0.07, "learning_rate": 0.0019902199100196695, "loss": 3.7836, "step": 46 }, { "epoch": 0.08, "learning_rate": 0.0019894833390973264, "loss": 4.7754, "step": 47 }, { "epoch": 0.08, "learning_rate": 0.0019887201755009356, "loss": 4.225, "step": 48 }, { "epoch": 0.08, "learning_rate": 0.0019879304397407566, "loss": 3.9848, "step": 49 }, { "epoch": 0.08, "learning_rate": 0.0019871141530411855, "loss": 4.188, "step": 50 }, { "epoch": 0.08, "learning_rate": 0.001986271337340182, "loss": 4.4098, "step": 51 }, { "epoch": 0.08, "learning_rate": 0.001985402015288681, "loss": 4.4316, "step": 52 }, { "epoch": 0.08, "learning_rate": 0.001984506210249986, "loss": 3.7578, "step": 53 }, { "epoch": 0.09, "learning_rate": 0.001983583946299136, "loss": 3.9527, "step": 54 }, { "epoch": 0.09, "learning_rate": 0.001982635248222264, "loss": 4.1557, "step": 55 }, { "epoch": 0.09, "learning_rate": 0.0019816601415159263, "loss": 3.9226, "step": 56 }, { "epoch": 0.09, "learning_rate": 0.001980658652386421, "loss": 3.9957, "step": 57 }, { "epoch": 0.09, "learning_rate": 0.0019796308077490816, "loss": 3.8381, "step": 58 }, { "epoch": 0.09, "learning_rate": 0.001978576635227554, "loss": 4.001, "step": 59 }, { "epoch": 0.1, "learning_rate": 0.0019774961631530545, "loss": 4.1027, "step": 60 }, { "epoch": 0.1, "learning_rate": 0.001976389420563607, "loss": 4.0129, "step": 61 }, { "epoch": 0.1, "learning_rate": 0.0019752564372032657, "loss": 3.9004, "step": 62 }, { "epoch": 0.1, "learning_rate": 0.0019740972435213114, "loss": 4.1503, "step": 63 }, { "epoch": 0.1, "learning_rate": 0.0019729118706714377, "loss": 4.3853, "step": 64 }, { "epoch": 0.1, "learning_rate": 0.0019717003505109096, "loss": 3.9081, "step": 65 }, { "epoch": 0.11, "learning_rate": 0.0019704627155997106, "loss": 3.8926, "step": 66 }, { "epoch": 0.11, "learning_rate": 0.0019691989991996663, "loss": 2.8879, "step": 67 }, { "epoch": 0.11, "learning_rate": 0.0019679092352735492, "loss": 1.7079, "step": 68 }, { "epoch": 0.11, "learning_rate": 0.001966593458484168, "loss": 11.3821, "step": 69 }, { "epoch": 0.11, "learning_rate": 0.0019652517041934357, "loss": 3.9921, "step": 70 }, { "epoch": 0.11, "learning_rate": 0.001963884008461418, "loss": 4.1075, "step": 71 }, { "epoch": 0.12, "learning_rate": 0.001962490408045365, "loss": 4.4107, "step": 72 }, { "epoch": 0.12, "learning_rate": 0.0019610709403987247, "loss": 4.311, "step": 73 }, { "epoch": 0.12, "learning_rate": 0.0019596256436701324, "loss": 4.2788, "step": 74 }, { "epoch": 0.12, "learning_rate": 0.00195815455670239, "loss": 4.0285, "step": 75 }, { "epoch": 0.12, "learning_rate": 0.0019566577190314196, "loss": 3.9091, "step": 76 }, { "epoch": 0.12, "learning_rate": 0.001955135170885202, "loss": 4.0886, "step": 77 }, { "epoch": 0.12, "learning_rate": 0.0019535869531826936, "loss": 4.188, "step": 78 }, { "epoch": 0.13, "learning_rate": 0.00195201310753273, "loss": 3.8323, "step": 79 }, { "epoch": 0.13, "learning_rate": 0.0019504136762329045, "loss": 3.6808, "step": 80 }, { "epoch": 0.13, "learning_rate": 0.0019487887022684336, "loss": 4.0087, "step": 81 }, { "epoch": 0.13, "learning_rate": 0.0019471382293110003, "loss": 3.9882, "step": 82 }, { "epoch": 0.13, "learning_rate": 0.0019454623017175813, "loss": 4.154, "step": 83 }, { "epoch": 0.13, "learning_rate": 0.0019437609645292547, "loss": 4.0551, "step": 84 }, { "epoch": 0.14, "learning_rate": 0.001942034263469989, "loss": 3.8263, "step": 85 }, { "epoch": 0.14, "learning_rate": 0.0019402822449454153, "loss": 4.1469, "step": 86 }, { "epoch": 0.14, "learning_rate": 0.0019385049560415792, "loss": 3.4656, "step": 87 }, { "epoch": 0.14, "learning_rate": 0.0019367024445236752, "loss": 1.0978, "step": 88 }, { "epoch": 0.14, "learning_rate": 0.0019348747588347637, "loss": 4.3482, "step": 89 }, { "epoch": 0.14, "learning_rate": 0.0019330219480944693, "loss": 3.8379, "step": 90 }, { "epoch": 0.15, "learning_rate": 0.0019311440620976598, "loss": 3.9674, "step": 91 }, { "epoch": 0.15, "learning_rate": 0.0019292411513131078, "loss": 4.0512, "step": 92 }, { "epoch": 0.15, "learning_rate": 0.0019273132668821363, "loss": 4.1261, "step": 93 }, { "epoch": 0.15, "learning_rate": 0.0019253604606172417, "loss": 3.9303, "step": 94 }, { "epoch": 0.15, "learning_rate": 0.0019233827850007026, "loss": 4.2474, "step": 95 }, { "epoch": 0.15, "learning_rate": 0.0019213802931831697, "loss": 3.9844, "step": 96 }, { "epoch": 0.16, "learning_rate": 0.0019193530389822362, "loss": 4.2638, "step": 97 }, { "epoch": 0.16, "learning_rate": 0.0019173010768809933, "loss": 3.7256, "step": 98 }, { "epoch": 0.16, "learning_rate": 0.001915224462026563, "loss": 4.1272, "step": 99 }, { "epoch": 0.16, "learning_rate": 0.001913123250228619, "loss": 3.4689, "step": 100 }, { "epoch": 0.16, "learning_rate": 0.001910997497957885, "loss": 4.0093, "step": 101 }, { "epoch": 0.16, "learning_rate": 0.0019088472623446182, "loss": 1.4374, "step": 102 }, { "epoch": 0.16, "learning_rate": 0.0019066726011770726, "loss": 4.0466, "step": 103 }, { "epoch": 0.17, "learning_rate": 0.001904473572899947, "loss": 3.9045, "step": 104 }, { "epoch": 0.17, "learning_rate": 0.0019022502366128134, "loss": 4.0656, "step": 105 }, { "epoch": 0.17, "learning_rate": 0.00190000265206853, "loss": 3.8209, "step": 106 }, { "epoch": 0.17, "learning_rate": 0.001897730879671634, "loss": 3.9246, "step": 107 }, { "epoch": 0.17, "learning_rate": 0.0018954349804767184, "loss": 1.1478, "step": 108 }, { "epoch": 0.17, "learning_rate": 0.0018931150161867916, "loss": 3.875, "step": 109 }, { "epoch": 0.18, "learning_rate": 0.0018907710491516197, "loss": 3.4427, "step": 110 }, { "epoch": 0.18, "learning_rate": 0.001888403142366049, "loss": 1.2648, "step": 111 }, { "epoch": 0.18, "learning_rate": 0.0018860113594683149, "loss": 3.9615, "step": 112 }, { "epoch": 0.18, "learning_rate": 0.0018835957647383302, "loss": 4.175, "step": 113 }, { "epoch": 0.18, "learning_rate": 0.0018811564230959586, "loss": 3.9097, "step": 114 }, { "epoch": 0.18, "learning_rate": 0.001878693400099269, "loss": 3.6198, "step": 115 }, { "epoch": 0.19, "learning_rate": 0.0018762067619427746, "loss": 3.8975, "step": 116 }, { "epoch": 0.19, "learning_rate": 0.0018736965754556527, "loss": 3.8977, "step": 117 }, { "epoch": 0.19, "learning_rate": 0.0018711629080999503, "loss": 3.763, "step": 118 }, { "epoch": 0.19, "learning_rate": 0.00186860582796877, "loss": 3.9701, "step": 119 }, { "epoch": 0.19, "learning_rate": 0.001866025403784439, "loss": 3.9555, "step": 120 }, { "epoch": 0.19, "learning_rate": 0.0018634217048966635, "loss": 3.7565, "step": 121 }, { "epoch": 0.2, "learning_rate": 0.0018607948012806662, "loss": 3.9305, "step": 122 }, { "epoch": 0.2, "learning_rate": 0.001858144763535302, "loss": 3.8742, "step": 123 }, { "epoch": 0.2, "learning_rate": 0.0018554716628811638, "loss": 4.072, "step": 124 }, { "epoch": 0.2, "learning_rate": 0.0018527755711586678, "loss": 4.1252, "step": 125 }, { "epoch": 0.2, "learning_rate": 0.0018500565608261215, "loss": 4.0305, "step": 126 }, { "epoch": 0.2, "learning_rate": 0.0018473147049577773, "loss": 3.8419, "step": 127 }, { "epoch": 0.2, "learning_rate": 0.0018445500772418695, "loss": 4.0377, "step": 128 }, { "epoch": 0.21, "learning_rate": 0.0018417627519786315, "loss": 4.0589, "step": 129 }, { "epoch": 0.21, "learning_rate": 0.0018389528040783012, "loss": 3.66, "step": 130 }, { "epoch": 0.21, "learning_rate": 0.001836120309059107, "loss": 4.0361, "step": 131 }, { "epoch": 0.21, "learning_rate": 0.0018332653430452376, "loss": 3.7743, "step": 132 }, { "epoch": 0.21, "learning_rate": 0.0018303879827647977, "loss": 3.6057, "step": 133 }, { "epoch": 0.21, "learning_rate": 0.0018274883055477435, "loss": 4.2522, "step": 134 }, { "epoch": 0.22, "learning_rate": 0.0018245663893238073, "loss": 3.9242, "step": 135 }, { "epoch": 0.22, "learning_rate": 0.0018216223126204009, "loss": 3.5405, "step": 136 }, { "epoch": 0.22, "learning_rate": 0.0018186561545605053, "loss": 4.138, "step": 137 }, { "epoch": 0.22, "learning_rate": 0.0018156679948605468, "loss": 3.8028, "step": 138 }, { "epoch": 0.22, "learning_rate": 0.0018126579138282501, "loss": 4.0589, "step": 139 }, { "epoch": 0.22, "learning_rate": 0.001809625992360485, "loss": 3.4607, "step": 140 }, { "epoch": 0.23, "learning_rate": 0.0018065723119410884, "loss": 3.7326, "step": 141 }, { "epoch": 0.23, "learning_rate": 0.0018034969546386758, "loss": 4.3308, "step": 142 }, { "epoch": 0.23, "learning_rate": 0.0018004000031044362, "loss": 3.6548, "step": 143 }, { "epoch": 0.23, "learning_rate": 0.0017972815405699104, "loss": 3.7109, "step": 144 }, { "epoch": 0.23, "learning_rate": 0.0017941416508447535, "loss": 3.7733, "step": 145 }, { "epoch": 0.23, "learning_rate": 0.0017909804183144837, "loss": 3.5148, "step": 146 }, { "epoch": 0.24, "learning_rate": 0.0017877979279382133, "loss": 3.8504, "step": 147 }, { "epoch": 0.24, "learning_rate": 0.0017845942652463661, "loss": 3.8135, "step": 148 }, { "epoch": 0.24, "learning_rate": 0.001781369516338378, "loss": 4.3285, "step": 149 }, { "epoch": 0.24, "learning_rate": 0.0017781237678803844, "loss": 4.1764, "step": 150 }, { "epoch": 0.24, "learning_rate": 0.0017748571071028898, "loss": 3.8819, "step": 151 }, { "epoch": 0.24, "learning_rate": 0.0017715696217984235, "loss": 3.8317, "step": 152 }, { "epoch": 0.24, "learning_rate": 0.0017682614003191805, "loss": 3.5915, "step": 153 }, { "epoch": 0.25, "learning_rate": 0.0017649325315746479, "loss": 4.1536, "step": 154 }, { "epoch": 0.25, "learning_rate": 0.001761583105029213, "loss": 3.7844, "step": 155 }, { "epoch": 0.25, "learning_rate": 0.0017582132106997615, "loss": 3.91, "step": 156 }, { "epoch": 0.25, "learning_rate": 0.0017548229391532572, "loss": 3.9488, "step": 157 }, { "epoch": 0.25, "learning_rate": 0.0017514123815043072, "loss": 4.308, "step": 158 }, { "epoch": 0.25, "learning_rate": 0.001747981629412715, "loss": 3.9577, "step": 159 }, { "epoch": 0.26, "learning_rate": 0.001744530775081015, "loss": 3.7033, "step": 160 }, { "epoch": 0.26, "learning_rate": 0.001741059911251997, "loss": 3.6316, "step": 161 }, { "epoch": 0.26, "learning_rate": 0.0017375691312062102, "loss": 1.6311, "step": 162 }, { "epoch": 0.26, "learning_rate": 0.0017340585287594604, "loss": 4.0487, "step": 163 }, { "epoch": 0.26, "learning_rate": 0.001730528198260285, "loss": 3.7739, "step": 164 }, { "epoch": 0.26, "learning_rate": 0.0017269782345874203, "loss": 3.8212, "step": 165 }, { "epoch": 0.27, "learning_rate": 0.0017234087331472496, "loss": 3.615, "step": 166 }, { "epoch": 0.27, "learning_rate": 0.0017198197898712403, "loss": 1.6226, "step": 167 }, { "epoch": 0.27, "learning_rate": 0.001716211501213364, "loss": 3.8189, "step": 168 }, { "epoch": 0.27, "learning_rate": 0.0017125839641475072, "loss": 3.8534, "step": 169 }, { "epoch": 0.27, "learning_rate": 0.0017089372761648616, "loss": 1.3286, "step": 170 }, { "epoch": 0.27, "learning_rate": 0.0017052715352713075, "loss": 3.5215, "step": 171 }, { "epoch": 0.28, "learning_rate": 0.0017015868399847768, "loss": 3.6761, "step": 172 }, { "epoch": 0.28, "learning_rate": 0.0016978832893326072, "loss": 3.8834, "step": 173 }, { "epoch": 0.28, "learning_rate": 0.0016941609828488807, "loss": 3.9351, "step": 174 }, { "epoch": 0.28, "learning_rate": 0.0016904200205717468, "loss": 3.9422, "step": 175 }, { "epoch": 0.28, "learning_rate": 0.0016866605030407369, "loss": 3.7697, "step": 176 }, { "epoch": 0.28, "learning_rate": 0.0016828825312940592, "loss": 3.55, "step": 177 }, { "epoch": 0.28, "learning_rate": 0.0016790862068658862, "loss": 3.7282, "step": 178 }, { "epoch": 0.29, "learning_rate": 0.0016752716317836227, "loss": 1.4006, "step": 179 }, { "epoch": 0.29, "learning_rate": 0.0016714389085651668, "loss": 3.8199, "step": 180 }, { "epoch": 0.29, "learning_rate": 0.0016675881402161536, "loss": 3.8684, "step": 181 }, { "epoch": 0.29, "learning_rate": 0.0016637194302271858, "loss": 3.8336, "step": 182 }, { "epoch": 0.29, "learning_rate": 0.0016598328825710533, "loss": 3.8739, "step": 183 }, { "epoch": 0.29, "learning_rate": 0.00165592860169994, "loss": 3.9376, "step": 184 }, { "epoch": 0.3, "learning_rate": 0.0016520066925426145, "loss": 4.331, "step": 185 }, { "epoch": 0.3, "learning_rate": 0.0016480672605016112, "loss": 3.741, "step": 186 }, { "epoch": 0.3, "learning_rate": 0.0016441104114503977, "loss": 3.874, "step": 187 }, { "epoch": 0.3, "learning_rate": 0.0016401362517305296, "loss": 3.6882, "step": 188 }, { "epoch": 0.3, "learning_rate": 0.0016361448881487912, "loss": 3.9917, "step": 189 }, { "epoch": 0.3, "learning_rate": 0.0016321364279743265, "loss": 3.8689, "step": 190 }, { "epoch": 0.31, "learning_rate": 0.001628110978935756, "loss": 3.6256, "step": 191 }, { "epoch": 0.31, "learning_rate": 0.0016240686492182803, "loss": 3.688, "step": 192 }, { "epoch": 0.31, "learning_rate": 0.0016200095474607752, "loss": 3.653, "step": 193 }, { "epoch": 0.31, "learning_rate": 0.0016159337827528683, "loss": 3.8863, "step": 194 }, { "epoch": 0.31, "learning_rate": 0.0016118414646320112, "loss": 3.7174, "step": 195 }, { "epoch": 0.31, "learning_rate": 0.0016077327030805317, "loss": 3.8832, "step": 196 }, { "epoch": 0.32, "learning_rate": 0.0016036076085226814, "loss": 3.6604, "step": 197 }, { "epoch": 0.32, "learning_rate": 0.0015994662918216661, "loss": 3.6537, "step": 198 }, { "epoch": 0.32, "learning_rate": 0.001595308864276666, "loss": 3.7167, "step": 199 }, { "epoch": 0.32, "learning_rate": 0.0015911354376198469, "loss": 3.5623, "step": 200 }, { "epoch": 0.32, "learning_rate": 0.001586946124013354, "loss": 3.58, "step": 201 }, { "epoch": 0.32, "learning_rate": 0.001582741036046301, "loss": 3.7644, "step": 202 }, { "epoch": 0.32, "learning_rate": 0.0015785202867317407, "loss": 3.9313, "step": 203 }, { "epoch": 0.33, "learning_rate": 0.0015742839895036304, "loss": 3.4684, "step": 204 }, { "epoch": 0.33, "learning_rate": 0.0015700322582137827, "loss": 3.7704, "step": 205 }, { "epoch": 0.33, "learning_rate": 0.001565765207128805, "loss": 4.1129, "step": 206 }, { "epoch": 0.33, "learning_rate": 0.001561482950927029, "loss": 3.8268, "step": 207 }, { "epoch": 0.33, "learning_rate": 0.0015571856046954285, "loss": 3.5591, "step": 208 }, { "epoch": 0.33, "learning_rate": 0.0015528732839265272, "loss": 3.7801, "step": 209 }, { "epoch": 0.34, "learning_rate": 0.0015485461045152938, "loss": 3.8583, "step": 210 }, { "epoch": 0.34, "learning_rate": 0.0015442041827560273, "loss": 3.4326, "step": 211 }, { "epoch": 0.34, "learning_rate": 0.0015398476353392324, "loss": 3.7473, "step": 212 }, { "epoch": 0.34, "learning_rate": 0.0015354765793484833, "loss": 3.531, "step": 213 }, { "epoch": 0.34, "learning_rate": 0.001531091132257275, "loss": 3.8839, "step": 214 }, { "epoch": 0.34, "learning_rate": 0.0015266914119258699, "loss": 3.4951, "step": 215 }, { "epoch": 0.35, "learning_rate": 0.001522277536598127, "loss": 3.6591, "step": 216 }, { "epoch": 0.35, "learning_rate": 0.0015178496248983253, "loss": 3.9619, "step": 217 }, { "epoch": 0.35, "learning_rate": 0.0015134077958279765, "loss": 3.6712, "step": 218 }, { "epoch": 0.35, "learning_rate": 0.0015089521687626241, "loss": 3.5387, "step": 219 }, { "epoch": 0.35, "learning_rate": 0.0015044828634486398, "loss": 4.0162, "step": 220 }, { "epoch": 0.35, "learning_rate": 0.0015, "loss": 3.996, "step": 221 }, { "epoch": 0.36, "learning_rate": 0.0014955036988950616, "loss": 3.8723, "step": 222 }, { "epoch": 0.36, "learning_rate": 0.0014909940809733223, "loss": 3.6757, "step": 223 }, { "epoch": 0.36, "learning_rate": 0.0014864712674321733, "loss": 4.1622, "step": 224 }, { "epoch": 0.36, "learning_rate": 0.0014819353798236426, "loss": 3.7941, "step": 225 }, { "epoch": 0.36, "learning_rate": 0.001477386540051127, "loss": 3.9236, "step": 226 }, { "epoch": 0.36, "learning_rate": 0.0014728248703661183, "loss": 3.9214, "step": 227 }, { "epoch": 0.36, "learning_rate": 0.0014682504933649144, "loss": 3.4801, "step": 228 }, { "epoch": 0.37, "learning_rate": 0.0014636635319853273, "loss": 4.0145, "step": 229 }, { "epoch": 0.37, "learning_rate": 0.0014590641095033785, "loss": 3.6227, "step": 230 }, { "epoch": 0.37, "learning_rate": 0.0014544523495299841, "loss": 3.8013, "step": 231 }, { "epoch": 0.37, "learning_rate": 0.001449828376007636, "loss": 3.8496, "step": 232 }, { "epoch": 0.37, "learning_rate": 0.001445192313207067, "loss": 3.5943, "step": 233 }, { "epoch": 0.37, "learning_rate": 0.001440544285723915, "loss": 3.6935, "step": 234 }, { "epoch": 0.38, "learning_rate": 0.0014358844184753712, "loss": 3.7205, "step": 235 }, { "epoch": 0.38, "learning_rate": 0.0014312128366968243, "loss": 3.8119, "step": 236 }, { "epoch": 0.38, "learning_rate": 0.0014265296659384955, "loss": 3.7457, "step": 237 }, { "epoch": 0.38, "learning_rate": 0.0014218350320620624, "loss": 3.4936, "step": 238 }, { "epoch": 0.38, "learning_rate": 0.001417129061237278, "loss": 4.0205, "step": 239 }, { "epoch": 0.38, "learning_rate": 0.0014124118799385796, "loss": 3.9891, "step": 240 }, { "epoch": 0.39, "learning_rate": 0.0014076836149416888, "loss": 3.8868, "step": 241 }, { "epoch": 0.39, "learning_rate": 0.0014029443933202058, "loss": 3.9221, "step": 242 }, { "epoch": 0.39, "learning_rate": 0.001398194342442193, "loss": 3.6838, "step": 243 }, { "epoch": 0.39, "learning_rate": 0.0013934335899667524, "loss": 3.7234, "step": 244 }, { "epoch": 0.39, "learning_rate": 0.0013886622638405953, "loss": 3.4544, "step": 245 }, { "epoch": 0.39, "learning_rate": 0.0013838804922946027, "loss": 4.0295, "step": 246 }, { "epoch": 0.4, "learning_rate": 0.0013790884038403794, "loss": 3.8057, "step": 247 }, { "epoch": 0.4, "learning_rate": 0.001374286127266801, "loss": 3.807, "step": 248 }, { "epoch": 0.4, "learning_rate": 0.0013694737916365516, "loss": 3.5747, "step": 249 }, { "epoch": 0.4, "learning_rate": 0.0013646515262826552, "loss": 3.6138, "step": 250 }, { "epoch": 0.4, "learning_rate": 0.0013598194608050009, "loss": 3.5898, "step": 251 }, { "epoch": 0.4, "learning_rate": 0.0013549777250668588, "loss": 4.0295, "step": 252 }, { "epoch": 0.4, "learning_rate": 0.0013501264491913908, "loss": 3.6804, "step": 253 }, { "epoch": 0.41, "learning_rate": 0.001345265763558152, "loss": 3.7069, "step": 254 }, { "epoch": 0.41, "learning_rate": 0.0013403957987995882, "loss": 3.6501, "step": 255 }, { "epoch": 0.41, "learning_rate": 0.001335516685797525, "loss": 3.6399, "step": 256 }, { "epoch": 0.41, "learning_rate": 0.0013306285556796494, "loss": 3.6, "step": 257 }, { "epoch": 0.41, "learning_rate": 0.0013257315398159863, "loss": 3.743, "step": 258 }, { "epoch": 0.41, "learning_rate": 0.0013208257698153676, "loss": 1.1725, "step": 259 }, { "epoch": 0.42, "learning_rate": 0.0013159113775218962, "loss": 3.9001, "step": 260 }, { "epoch": 0.42, "learning_rate": 0.0013109884950114007, "loss": 3.8168, "step": 261 }, { "epoch": 0.42, "learning_rate": 0.0013060572545878875, "loss": 3.912, "step": 262 }, { "epoch": 0.42, "learning_rate": 0.0013011177887799845, "loss": 3.9894, "step": 263 }, { "epoch": 0.42, "learning_rate": 0.0012961702303373795, "loss": 3.7925, "step": 264 }, { "epoch": 0.42, "learning_rate": 0.0012912147122272522, "loss": 4.0637, "step": 265 }, { "epoch": 0.43, "learning_rate": 0.0012862513676307008, "loss": 3.9632, "step": 266 }, { "epoch": 0.43, "learning_rate": 0.0012812803299391629, "loss": 3.376, "step": 267 }, { "epoch": 0.43, "learning_rate": 0.0012763017327508304, "loss": 3.9044, "step": 268 }, { "epoch": 0.43, "learning_rate": 0.0012713157098670589, "loss": 3.6145, "step": 269 }, { "epoch": 0.43, "learning_rate": 0.0012663223952887723, "loss": 4.087, "step": 270 }, { "epoch": 0.43, "learning_rate": 0.0012613219232128607, "loss": 3.9729, "step": 271 }, { "epoch": 0.44, "learning_rate": 0.001256314428028574, "loss": 3.6649, "step": 272 }, { "epoch": 0.44, "learning_rate": 0.0012513000443139112, "loss": 3.439, "step": 273 }, { "epoch": 0.44, "learning_rate": 0.0012462789068320016, "loss": 3.7051, "step": 274 }, { "epoch": 0.44, "learning_rate": 0.0012412511505274844, "loss": 3.9721, "step": 275 }, { "epoch": 0.44, "learning_rate": 0.0012362169105228826, "loss": 3.6887, "step": 276 }, { "epoch": 0.44, "learning_rate": 0.00123117632211497, "loss": 4.0732, "step": 277 }, { "epoch": 0.44, "learning_rate": 0.0012261295207711346, "loss": 3.8312, "step": 278 }, { "epoch": 0.45, "learning_rate": 0.001221076642125742, "loss": 3.5818, "step": 279 }, { "epoch": 0.45, "learning_rate": 0.0012160178219764836, "loss": 4.1222, "step": 280 }, { "epoch": 0.45, "learning_rate": 0.0012109531962807333, "loss": 3.8663, "step": 281 }, { "epoch": 0.45, "learning_rate": 0.0012058829011518896, "loss": 4.185, "step": 282 }, { "epoch": 0.45, "learning_rate": 0.0012008070728557186, "loss": 3.9915, "step": 283 }, { "epoch": 0.45, "learning_rate": 0.001195725847806693, "loss": 4.0396, "step": 284 }, { "epoch": 0.46, "learning_rate": 0.0011906393625643243, "loss": 3.8758, "step": 285 }, { "epoch": 0.46, "learning_rate": 0.0011855477538294935, "loss": 3.8459, "step": 286 }, { "epoch": 0.46, "learning_rate": 0.0011804511584407762, "loss": 3.5717, "step": 287 }, { "epoch": 0.46, "learning_rate": 0.0011753497133707679, "loss": 3.6463, "step": 288 }, { "epoch": 0.46, "learning_rate": 0.0011702435557223987, "loss": 3.6229, "step": 289 }, { "epoch": 0.46, "learning_rate": 0.0011651328227252516, "loss": 3.7196, "step": 290 }, { "epoch": 0.47, "learning_rate": 0.0011600176517318741, "loss": 3.7248, "step": 291 }, { "epoch": 0.47, "learning_rate": 0.0011548981802140847, "loss": 3.6327, "step": 292 }, { "epoch": 0.47, "learning_rate": 0.0011497745457592816, "loss": 3.6421, "step": 293 }, { "epoch": 0.47, "learning_rate": 0.0011446468860667421, "loss": 3.6629, "step": 294 }, { "epoch": 0.47, "learning_rate": 0.0011395153389439233, "loss": 3.9132, "step": 295 }, { "epoch": 0.47, "learning_rate": 0.0011343800423027582, "loss": 3.3667, "step": 296 }, { "epoch": 0.48, "learning_rate": 0.001129241134155949, "loss": 4.1641, "step": 297 }, { "epoch": 0.48, "learning_rate": 0.0011240987526132593, "loss": 3.5377, "step": 298 }, { "epoch": 0.48, "learning_rate": 0.0011189530358778003, "loss": 4.1335, "step": 299 }, { "epoch": 0.48, "learning_rate": 0.0011138041222423175, "loss": 3.5017, "step": 300 }, { "epoch": 0.48, "learning_rate": 0.0011086521500854745, "loss": 3.9421, "step": 301 }, { "epoch": 0.48, "learning_rate": 0.0011034972578681337, "loss": 3.992, "step": 302 }, { "epoch": 0.48, "learning_rate": 0.001098339584129635, "loss": 3.9348, "step": 303 }, { "epoch": 0.49, "learning_rate": 0.0010931792674840717, "loss": 3.4803, "step": 304 }, { "epoch": 0.49, "learning_rate": 0.0010880164466165673, "loss": 3.4556, "step": 305 }, { "epoch": 0.49, "learning_rate": 0.001082851260279546, "loss": 3.7428, "step": 306 }, { "epoch": 0.49, "learning_rate": 0.0010776838472890064, "loss": 3.8734, "step": 307 }, { "epoch": 0.49, "learning_rate": 0.0010725143465207868, "loss": 3.722, "step": 308 }, { "epoch": 0.49, "learning_rate": 0.0010673428969068363, "loss": 3.7025, "step": 309 }, { "epoch": 0.5, "learning_rate": 0.0010621696374314806, "loss": 3.7655, "step": 310 }, { "epoch": 0.5, "learning_rate": 0.0010569947071276847, "loss": 3.7916, "step": 311 }, { "epoch": 0.5, "learning_rate": 0.0010518182450733186, "loss": 3.49, "step": 312 }, { "epoch": 0.5, "learning_rate": 0.0010466403903874176, "loss": 3.7669, "step": 313 }, { "epoch": 0.5, "learning_rate": 0.0010414612822264456, "loss": 3.2447, "step": 314 }, { "epoch": 0.5, "learning_rate": 0.0010362810597805525, "loss": 3.6931, "step": 315 }, { "epoch": 0.51, "learning_rate": 0.0010310998622698369, "loss": 3.5501, "step": 316 }, { "epoch": 0.51, "learning_rate": 0.001025917828940601, "loss": 3.874, "step": 317 }, { "epoch": 0.51, "learning_rate": 0.0010207350990616107, "loss": 3.7802, "step": 318 }, { "epoch": 0.51, "learning_rate": 0.001015551811920351, "loss": 3.4521, "step": 319 }, { "epoch": 0.51, "learning_rate": 0.0010103681068192845, "loss": 3.8069, "step": 320 }, { "epoch": 0.51, "learning_rate": 0.0010051841230721064, "loss": 3.5289, "step": 321 }, { "epoch": 0.52, "learning_rate": 0.001, "loss": 3.5067, "step": 322 }, { "epoch": 0.52, "learning_rate": 0.0009948158769278938, "loss": 3.8598, "step": 323 }, { "epoch": 0.52, "learning_rate": 0.0009896318931807155, "loss": 3.627, "step": 324 }, { "epoch": 0.52, "learning_rate": 0.000984448188079649, "loss": 3.6629, "step": 325 }, { "epoch": 0.52, "learning_rate": 0.0009792649009383897, "loss": 3.624, "step": 326 }, { "epoch": 0.52, "learning_rate": 0.0009740821710593989, "loss": 3.9597, "step": 327 }, { "epoch": 0.52, "learning_rate": 0.0009689001377301633, "loss": 3.6626, "step": 328 }, { "epoch": 0.53, "learning_rate": 0.0009637189402194476, "loss": 3.5339, "step": 329 }, { "epoch": 0.53, "learning_rate": 0.0009585387177735548, "loss": 3.5813, "step": 330 }, { "epoch": 0.53, "learning_rate": 0.0009533596096125825, "loss": 3.7224, "step": 331 }, { "epoch": 0.53, "learning_rate": 0.0009481817549266817, "loss": 3.6054, "step": 332 }, { "epoch": 0.53, "learning_rate": 0.0009430052928723153, "loss": 3.3042, "step": 333 }, { "epoch": 0.53, "learning_rate": 0.0009378303625685195, "loss": 3.6328, "step": 334 }, { "epoch": 0.54, "learning_rate": 0.0009326571030931636, "loss": 3.829, "step": 335 }, { "epoch": 0.54, "learning_rate": 0.0009274856534792138, "loss": 3.3784, "step": 336 }, { "epoch": 0.54, "learning_rate": 0.0009223161527109937, "loss": 3.7312, "step": 337 }, { "epoch": 0.54, "learning_rate": 0.0009171487397204538, "loss": 3.6997, "step": 338 }, { "epoch": 0.54, "learning_rate": 0.000911983553383433, "loss": 4.0333, "step": 339 }, { "epoch": 0.54, "learning_rate": 0.0009068207325159285, "loss": 3.9297, "step": 340 }, { "epoch": 0.55, "learning_rate": 0.0009016604158703654, "loss": 3.7931, "step": 341 }, { "epoch": 0.55, "learning_rate": 0.0008965027421318665, "loss": 3.385, "step": 342 }, { "epoch": 0.55, "learning_rate": 0.0008913478499145255, "loss": 3.787, "step": 343 }, { "epoch": 0.55, "learning_rate": 0.0008861958777576826, "loss": 3.7098, "step": 344 }, { "epoch": 0.55, "learning_rate": 0.0008810469641222001, "loss": 3.8554, "step": 345 }, { "epoch": 0.55, "learning_rate": 0.0008759012473867405, "loss": 3.7868, "step": 346 }, { "epoch": 0.56, "learning_rate": 0.0008707588658440511, "loss": 3.8198, "step": 347 }, { "epoch": 0.56, "learning_rate": 0.0008656199576972423, "loss": 3.7444, "step": 348 }, { "epoch": 0.56, "learning_rate": 0.0008604846610560771, "loss": 3.9852, "step": 349 }, { "epoch": 0.56, "learning_rate": 0.0008553531139332582, "loss": 3.3964, "step": 350 }, { "epoch": 0.56, "learning_rate": 0.0008502254542407186, "loss": 3.5045, "step": 351 }, { "epoch": 0.56, "learning_rate": 0.0008451018197859153, "loss": 1.0281, "step": 352 }, { "epoch": 0.56, "learning_rate": 0.0008399823482681261, "loss": 3.8997, "step": 353 }, { "epoch": 0.57, "learning_rate": 0.0008348671772747487, "loss": 3.8542, "step": 354 }, { "epoch": 0.57, "learning_rate": 0.0008297564442776013, "loss": 3.6298, "step": 355 }, { "epoch": 0.57, "learning_rate": 0.0008246502866292324, "loss": 3.5069, "step": 356 }, { "epoch": 0.57, "learning_rate": 0.0008195488415592238, "loss": 3.6102, "step": 357 }, { "epoch": 0.57, "learning_rate": 0.0008144522461705067, "loss": 3.4068, "step": 358 }, { "epoch": 0.57, "learning_rate": 0.0008093606374356759, "loss": 1.2731, "step": 359 }, { "epoch": 0.58, "learning_rate": 0.0008042741521933071, "loss": 4.0248, "step": 360 }, { "epoch": 0.58, "learning_rate": 0.0007991929271442817, "loss": 3.7295, "step": 361 }, { "epoch": 0.58, "learning_rate": 0.0007941170988481108, "loss": 3.779, "step": 362 }, { "epoch": 0.58, "learning_rate": 0.000789046803719267, "loss": 3.4426, "step": 363 }, { "epoch": 0.58, "learning_rate": 0.0007839821780235168, "loss": 3.631, "step": 364 }, { "epoch": 0.58, "learning_rate": 0.0007789233578742583, "loss": 3.994, "step": 365 }, { "epoch": 0.59, "learning_rate": 0.0007738704792288654, "loss": 3.3613, "step": 366 }, { "epoch": 0.59, "learning_rate": 0.0007688236778850306, "loss": 3.5385, "step": 367 }, { "epoch": 0.59, "learning_rate": 0.0007637830894771175, "loss": 3.6162, "step": 368 }, { "epoch": 0.59, "learning_rate": 0.0007587488494725156, "loss": 3.5582, "step": 369 }, { "epoch": 0.59, "learning_rate": 0.0007537210931679988, "loss": 3.6104, "step": 370 }, { "epoch": 0.59, "learning_rate": 0.000748699955686089, "loss": 3.325, "step": 371 }, { "epoch": 0.6, "learning_rate": 0.000743685571971426, "loss": 3.7545, "step": 372 }, { "epoch": 0.6, "learning_rate": 0.0007386780767871396, "loss": 3.7875, "step": 373 }, { "epoch": 0.6, "learning_rate": 0.0007336776047112276, "loss": 3.5217, "step": 374 }, { "epoch": 0.6, "learning_rate": 0.0007286842901329413, "loss": 3.4912, "step": 375 }, { "epoch": 0.6, "learning_rate": 0.0007236982672491699, "loss": 3.8963, "step": 376 }, { "epoch": 0.6, "learning_rate": 0.0007187196700608373, "loss": 1.6135, "step": 377 }, { "epoch": 0.6, "learning_rate": 0.0007137486323692994, "loss": 3.7996, "step": 378 }, { "epoch": 0.61, "learning_rate": 0.0007087852877727481, "loss": 3.6033, "step": 379 }, { "epoch": 0.61, "learning_rate": 0.0007038297696626205, "loss": 3.7668, "step": 380 }, { "epoch": 0.61, "learning_rate": 0.0006988822112200156, "loss": 4.1006, "step": 381 }, { "epoch": 0.61, "learning_rate": 0.0006939427454121128, "loss": 3.6708, "step": 382 }, { "epoch": 0.61, "learning_rate": 0.0006890115049885994, "loss": 3.816, "step": 383 }, { "epoch": 0.61, "learning_rate": 0.0006840886224781039, "loss": 3.9372, "step": 384 }, { "epoch": 0.62, "learning_rate": 0.0006791742301846326, "loss": 3.841, "step": 385 }, { "epoch": 0.62, "learning_rate": 0.0006742684601840142, "loss": 3.61, "step": 386 }, { "epoch": 0.62, "learning_rate": 0.0006693714443203507, "loss": 3.582, "step": 387 }, { "epoch": 0.62, "learning_rate": 0.0006644833142024751, "loss": 3.7303, "step": 388 }, { "epoch": 0.62, "learning_rate": 0.000659604201200412, "loss": 3.3549, "step": 389 }, { "epoch": 0.62, "learning_rate": 0.0006547342364418481, "loss": 3.8846, "step": 390 }, { "epoch": 0.63, "learning_rate": 0.0006498735508086094, "loss": 3.5904, "step": 391 }, { "epoch": 0.63, "learning_rate": 0.0006450222749331413, "loss": 3.7521, "step": 392 }, { "epoch": 0.63, "learning_rate": 0.0006401805391949989, "loss": 3.7174, "step": 393 }, { "epoch": 0.63, "learning_rate": 0.000635348473717345, "loss": 3.7863, "step": 394 }, { "epoch": 0.63, "learning_rate": 0.0006305262083634487, "loss": 3.7128, "step": 395 }, { "epoch": 0.63, "learning_rate": 0.000625713872733199, "loss": 3.5454, "step": 396 }, { "epoch": 0.64, "learning_rate": 0.0006209115961596208, "loss": 3.2634, "step": 397 }, { "epoch": 0.64, "learning_rate": 0.0006161195077053976, "loss": 3.1795, "step": 398 }, { "epoch": 0.64, "learning_rate": 0.0006113377361594048, "loss": 3.3432, "step": 399 }, { "epoch": 0.64, "learning_rate": 0.0006065664100332477, "loss": 3.5877, "step": 400 }, { "epoch": 0.64, "learning_rate": 0.0006018056575578074, "loss": 3.737, "step": 401 }, { "epoch": 0.64, "learning_rate": 0.0005970556066797941, "loss": 3.753, "step": 402 }, { "epoch": 0.64, "learning_rate": 0.0005923163850583114, "loss": 3.7073, "step": 403 }, { "epoch": 0.65, "learning_rate": 0.0005875881200614207, "loss": 3.0189, "step": 404 }, { "epoch": 0.65, "learning_rate": 0.0005828709387627218, "loss": 3.6717, "step": 405 }, { "epoch": 0.65, "learning_rate": 0.0005781649679379379, "loss": 3.5747, "step": 406 }, { "epoch": 0.65, "learning_rate": 0.000573470334061505, "loss": 3.5068, "step": 407 }, { "epoch": 0.65, "learning_rate": 0.0005687871633031754, "loss": 3.6673, "step": 408 }, { "epoch": 0.65, "learning_rate": 0.0005641155815246289, "loss": 3.7107, "step": 409 }, { "epoch": 0.66, "learning_rate": 0.0005594557142760853, "loss": 3.7327, "step": 410 }, { "epoch": 0.66, "learning_rate": 0.000554807686792933, "loss": 3.9147, "step": 411 }, { "epoch": 0.66, "learning_rate": 0.0005501716239923642, "loss": 1.0531, "step": 412 }, { "epoch": 0.66, "learning_rate": 0.0005455476504700161, "loss": 3.7775, "step": 413 }, { "epoch": 0.66, "learning_rate": 0.0005409358904966217, "loss": 3.5121, "step": 414 }, { "epoch": 0.66, "learning_rate": 0.0005363364680146725, "loss": 3.6936, "step": 415 }, { "epoch": 0.67, "learning_rate": 0.000531749506635086, "loss": 3.4835, "step": 416 }, { "epoch": 0.67, "learning_rate": 0.0005271751296338822, "loss": 3.6268, "step": 417 }, { "epoch": 0.67, "learning_rate": 0.0005226134599488727, "loss": 3.8939, "step": 418 }, { "epoch": 0.67, "learning_rate": 0.0005180646201763577, "loss": 3.8859, "step": 419 }, { "epoch": 0.67, "learning_rate": 0.0005135287325678271, "loss": 3.7231, "step": 420 }, { "epoch": 0.67, "learning_rate": 0.0005090059190266779, "loss": 3.6779, "step": 421 }, { "epoch": 0.68, "learning_rate": 0.0005044963011049384, "loss": 3.7245, "step": 422 }, { "epoch": 0.68, "learning_rate": 0.0005000000000000002, "loss": 3.8012, "step": 423 }, { "epoch": 0.68, "learning_rate": 0.0004955171365513603, "loss": 3.9014, "step": 424 }, { "epoch": 0.68, "learning_rate": 0.0004910478312373756, "loss": 3.7399, "step": 425 }, { "epoch": 0.68, "learning_rate": 0.0004865922041720239, "loss": 3.5203, "step": 426 }, { "epoch": 0.68, "learning_rate": 0.0004821503751016746, "loss": 1.9136, "step": 427 }, { "epoch": 0.68, "learning_rate": 0.0004777224634018732, "loss": 3.6048, "step": 428 }, { "epoch": 0.69, "learning_rate": 0.0004733085880741301, "loss": 3.3937, "step": 429 }, { "epoch": 0.69, "learning_rate": 0.0004689088677427249, "loss": 3.5847, "step": 430 }, { "epoch": 0.69, "learning_rate": 0.0004645234206515171, "loss": 3.6167, "step": 431 }, { "epoch": 0.69, "learning_rate": 0.0004601523646607675, "loss": 3.5922, "step": 432 }, { "epoch": 0.69, "learning_rate": 0.0004557958172439726, "loss": 3.6815, "step": 433 }, { "epoch": 0.69, "learning_rate": 0.0004514538954847064, "loss": 4.0997, "step": 434 }, { "epoch": 0.7, "learning_rate": 0.0004471267160734731, "loss": 3.6928, "step": 435 }, { "epoch": 0.7, "learning_rate": 0.00044281439530457166, "loss": 3.7416, "step": 436 }, { "epoch": 0.7, "learning_rate": 0.0004385170490729712, "loss": 3.6241, "step": 437 }, { "epoch": 0.7, "learning_rate": 0.00043423479287119527, "loss": 3.752, "step": 438 }, { "epoch": 0.7, "learning_rate": 0.0004299677417862173, "loss": 3.9847, "step": 439 }, { "epoch": 0.7, "learning_rate": 0.00042571601049636954, "loss": 3.587, "step": 440 }, { "epoch": 0.71, "learning_rate": 0.0004214797132682596, "loss": 3.5443, "step": 441 }, { "epoch": 0.71, "learning_rate": 0.0004172589639536991, "loss": 3.9136, "step": 442 }, { "epoch": 0.71, "learning_rate": 0.00041305387598664567, "loss": 3.6431, "step": 443 }, { "epoch": 0.71, "learning_rate": 0.00040886456238015334, "loss": 2.3225, "step": 444 }, { "epoch": 0.71, "learning_rate": 0.00040469113572333426, "loss": 3.5364, "step": 445 }, { "epoch": 0.71, "learning_rate": 0.000400533708178334, "loss": 3.8829, "step": 446 }, { "epoch": 0.72, "learning_rate": 0.00039639239147731863, "loss": 2.2293, "step": 447 }, { "epoch": 0.72, "learning_rate": 0.00039226729691946863, "loss": 3.7015, "step": 448 }, { "epoch": 0.72, "learning_rate": 0.0003881585353679891, "loss": 3.8685, "step": 449 }, { "epoch": 0.72, "learning_rate": 0.00038406621724713154, "loss": 3.699, "step": 450 }, { "epoch": 0.72, "learning_rate": 0.00037999045253922503, "loss": 3.6266, "step": 451 }, { "epoch": 0.72, "learning_rate": 0.00037593135078171957, "loss": 4.0395, "step": 452 }, { "epoch": 0.72, "learning_rate": 0.0003718890210642442, "loss": 3.2843, "step": 453 }, { "epoch": 0.73, "learning_rate": 0.00036786357202567364, "loss": 3.9742, "step": 454 }, { "epoch": 0.73, "learning_rate": 0.0003638551118512089, "loss": 3.7354, "step": 455 }, { "epoch": 0.73, "learning_rate": 0.00035986374826947067, "loss": 3.7586, "step": 456 }, { "epoch": 0.73, "learning_rate": 0.0003558895885496023, "loss": 3.4993, "step": 457 }, { "epoch": 0.73, "learning_rate": 0.0003519327394983888, "loss": 1.1225, "step": 458 }, { "epoch": 0.73, "learning_rate": 0.0003479933074573858, "loss": 1.627, "step": 459 }, { "epoch": 0.74, "learning_rate": 0.0003440713983000601, "loss": 3.4101, "step": 460 }, { "epoch": 0.74, "learning_rate": 0.0003401671174289469, "loss": 3.6403, "step": 461 }, { "epoch": 0.74, "learning_rate": 0.00033628056977281454, "loss": 3.8653, "step": 462 }, { "epoch": 0.74, "learning_rate": 0.00033241185978384635, "loss": 4.1749, "step": 463 }, { "epoch": 0.74, "learning_rate": 0.0003285610914348331, "loss": 3.5222, "step": 464 }, { "epoch": 0.74, "learning_rate": 0.0003247283682163774, "loss": 3.3613, "step": 465 }, { "epoch": 0.75, "learning_rate": 0.0003209137931341143, "loss": 3.5609, "step": 466 }, { "epoch": 0.75, "learning_rate": 0.0003171174687059408, "loss": 3.939, "step": 467 }, { "epoch": 0.75, "learning_rate": 0.0003133394969592632, "loss": 3.5709, "step": 468 }, { "epoch": 0.75, "learning_rate": 0.00030957997942825333, "loss": 3.6074, "step": 469 }, { "epoch": 0.75, "learning_rate": 0.00030583901715111963, "loss": 3.5742, "step": 470 }, { "epoch": 0.75, "learning_rate": 0.0003021167106673928, "loss": 3.4341, "step": 471 }, { "epoch": 0.76, "learning_rate": 0.00029841316001522343, "loss": 3.2982, "step": 472 }, { "epoch": 0.76, "learning_rate": 0.000294728464728693, "loss": 3.5418, "step": 473 }, { "epoch": 0.76, "learning_rate": 0.00029106272383513834, "loss": 3.5821, "step": 474 }, { "epoch": 0.76, "learning_rate": 0.0002874160358524931, "loss": 3.7582, "step": 475 }, { "epoch": 0.76, "learning_rate": 0.0002837884987866363, "loss": 3.813, "step": 476 }, { "epoch": 0.76, "learning_rate": 0.0002801802101287599, "loss": 3.4851, "step": 477 }, { "epoch": 0.76, "learning_rate": 0.00027659126685275026, "loss": 4.1582, "step": 478 }, { "epoch": 0.77, "learning_rate": 0.00027302176541257986, "loss": 3.7513, "step": 479 }, { "epoch": 0.77, "learning_rate": 0.00026947180173971506, "loss": 3.6744, "step": 480 }, { "epoch": 0.77, "learning_rate": 0.0002659414712405398, "loss": 4.0247, "step": 481 }, { "epoch": 0.77, "learning_rate": 0.00026243086879378997, "loss": 3.6709, "step": 482 }, { "epoch": 0.77, "learning_rate": 0.00025894008874800323, "loss": 3.4032, "step": 483 }, { "epoch": 0.77, "learning_rate": 0.00025546922491898494, "loss": 3.8222, "step": 484 }, { "epoch": 0.78, "learning_rate": 0.00025201837058728505, "loss": 3.6383, "step": 485 }, { "epoch": 0.78, "learning_rate": 0.0002485876184956928, "loss": 3.1742, "step": 486 }, { "epoch": 0.78, "learning_rate": 0.0002451770608467432, "loss": 3.5631, "step": 487 }, { "epoch": 0.78, "learning_rate": 0.00024178678930023869, "loss": 3.6435, "step": 488 }, { "epoch": 0.78, "learning_rate": 0.00023841689497078745, "loss": 3.9528, "step": 489 }, { "epoch": 0.78, "learning_rate": 0.00023506746842535243, "loss": 3.7417, "step": 490 }, { "epoch": 0.79, "learning_rate": 0.00023173859968081946, "loss": 3.4688, "step": 491 }, { "epoch": 0.79, "learning_rate": 0.00022843037820157675, "loss": 3.348, "step": 492 }, { "epoch": 0.79, "learning_rate": 0.0002251428928971102, "loss": 3.7078, "step": 493 }, { "epoch": 0.79, "learning_rate": 0.0002218762321196156, "loss": 3.4896, "step": 494 }, { "epoch": 0.79, "learning_rate": 0.00021863048366162208, "loss": 3.3995, "step": 495 }, { "epoch": 0.79, "learning_rate": 0.000215405734753634, "loss": 3.5001, "step": 496 }, { "epoch": 0.8, "learning_rate": 0.0002122020720617869, "loss": 3.6616, "step": 497 }, { "epoch": 0.8, "learning_rate": 0.0002090195816855164, "loss": 3.2719, "step": 498 }, { "epoch": 0.8, "learning_rate": 0.00020585834915524647, "loss": 3.6635, "step": 499 }, { "epoch": 0.8, "learning_rate": 0.00020271845943008982, "loss": 3.7948, "step": 500 }, { "epoch": 0.8, "learning_rate": 0.00019959999689556407, "loss": 3.901, "step": 501 }, { "epoch": 0.8, "learning_rate": 0.00019650304536132423, "loss": 3.9056, "step": 502 }, { "epoch": 0.8, "learning_rate": 0.00019342768805891174, "loss": 3.1826, "step": 503 }, { "epoch": 0.81, "learning_rate": 0.00019037400763951507, "loss": 3.7357, "step": 504 }, { "epoch": 0.81, "learning_rate": 0.00018734208617174987, "loss": 3.6262, "step": 505 }, { "epoch": 0.81, "learning_rate": 0.00018433200513945337, "loss": 3.636, "step": 506 }, { "epoch": 0.81, "learning_rate": 0.0001813438454394948, "loss": 3.8243, "step": 507 }, { "epoch": 0.81, "learning_rate": 0.00017837768737959936, "loss": 3.5867, "step": 508 }, { "epoch": 0.81, "learning_rate": 0.00017543361067619268, "loss": 3.7388, "step": 509 }, { "epoch": 0.82, "learning_rate": 0.00017251169445225655, "loss": 3.6787, "step": 510 }, { "epoch": 0.82, "learning_rate": 0.00016961201723520247, "loss": 3.5468, "step": 511 }, { "epoch": 0.82, "learning_rate": 0.0001667346569547623, "loss": 3.6274, "step": 512 }, { "epoch": 0.82, "learning_rate": 0.00016387969094089317, "loss": 3.8492, "step": 513 }, { "epoch": 0.82, "learning_rate": 0.00016104719592169902, "loss": 4.0524, "step": 514 }, { "epoch": 0.82, "learning_rate": 0.00015823724802136862, "loss": 3.8382, "step": 515 }, { "epoch": 0.83, "learning_rate": 0.00015544992275813053, "loss": 3.5185, "step": 516 }, { "epoch": 0.83, "learning_rate": 0.00015268529504222262, "loss": 3.626, "step": 517 }, { "epoch": 0.83, "learning_rate": 0.00014994343917387854, "loss": 3.8842, "step": 518 }, { "epoch": 0.83, "learning_rate": 0.00014722442884133213, "loss": 3.6249, "step": 519 }, { "epoch": 0.83, "learning_rate": 0.0001445283371188363, "loss": 3.7519, "step": 520 }, { "epoch": 0.83, "learning_rate": 0.00014185523646469822, "loss": 3.6433, "step": 521 }, { "epoch": 0.84, "learning_rate": 0.00013920519871933425, "loss": 3.3474, "step": 522 }, { "epoch": 0.84, "learning_rate": 0.00013657829510333654, "loss": 3.8188, "step": 523 }, { "epoch": 0.84, "learning_rate": 0.0001339745962155613, "loss": 3.9019, "step": 524 }, { "epoch": 0.84, "learning_rate": 0.00013139417203123028, "loss": 3.5149, "step": 525 }, { "epoch": 0.84, "learning_rate": 0.00012883709190004955, "loss": 3.5519, "step": 526 }, { "epoch": 0.84, "learning_rate": 0.0001263034245443473, "loss": 3.6658, "step": 527 }, { "epoch": 0.84, "learning_rate": 0.00012379323805722576, "loss": 3.7563, "step": 528 }, { "epoch": 0.85, "learning_rate": 0.00012130659990073145, "loss": 3.8424, "step": 529 }, { "epoch": 0.85, "learning_rate": 0.00011884357690404157, "loss": 1.4796, "step": 530 }, { "epoch": 0.85, "learning_rate": 0.00011640423526166988, "loss": 3.6791, "step": 531 }, { "epoch": 0.85, "learning_rate": 0.00011398864053168534, "loss": 0.9623, "step": 532 }, { "epoch": 0.85, "learning_rate": 0.00011159685763395111, "loss": 3.5464, "step": 533 }, { "epoch": 0.85, "learning_rate": 0.00010922895084838036, "loss": 3.8424, "step": 534 }, { "epoch": 0.86, "learning_rate": 0.00010688498381320854, "loss": 3.3816, "step": 535 }, { "epoch": 0.86, "learning_rate": 0.0001045650195232819, "loss": 3.859, "step": 536 }, { "epoch": 0.86, "learning_rate": 0.0001022691203283661, "loss": 3.6065, "step": 537 }, { "epoch": 0.86, "learning_rate": 9.999734793146997e-05, "loss": 4.088, "step": 538 }, { "epoch": 0.86, "learning_rate": 9.774976338718677e-05, "loss": 3.7818, "step": 539 }, { "epoch": 0.86, "learning_rate": 9.552642710005299e-05, "loss": 3.5833, "step": 540 }, { "epoch": 0.87, "learning_rate": 9.33273988229275e-05, "loss": 3.5815, "step": 541 }, { "epoch": 0.87, "learning_rate": 9.1152737655382e-05, "loss": 3.5383, "step": 542 }, { "epoch": 0.87, "learning_rate": 8.900250204211513e-05, "loss": 3.6251, "step": 543 }, { "epoch": 0.87, "learning_rate": 8.687674977138116e-05, "loss": 3.5686, "step": 544 }, { "epoch": 0.87, "learning_rate": 8.477553797343728e-05, "loss": 3.7219, "step": 545 }, { "epoch": 0.87, "learning_rate": 8.269892311900695e-05, "loss": 4.0017, "step": 546 }, { "epoch": 0.88, "learning_rate": 8.064696101776359e-05, "loss": 3.2837, "step": 547 }, { "epoch": 0.88, "learning_rate": 7.86197068168305e-05, "loss": 3.8604, "step": 548 }, { "epoch": 0.88, "learning_rate": 7.661721499929753e-05, "loss": 3.3971, "step": 549 }, { "epoch": 0.88, "learning_rate": 7.463953938275858e-05, "loss": 3.5138, "step": 550 }, { "epoch": 0.88, "learning_rate": 7.268673311786378e-05, "loss": 3.8874, "step": 551 }, { "epoch": 0.88, "learning_rate": 7.07588486868922e-05, "loss": 3.5762, "step": 552 }, { "epoch": 0.88, "learning_rate": 6.885593790234057e-05, "loss": 3.7988, "step": 553 }, { "epoch": 0.89, "learning_rate": 6.697805190553085e-05, "loss": 3.6264, "step": 554 }, { "epoch": 0.89, "learning_rate": 6.512524116523632e-05, "loss": 3.8119, "step": 555 }, { "epoch": 0.89, "learning_rate": 6.329755547632499e-05, "loss": 3.9918, "step": 556 }, { "epoch": 0.89, "learning_rate": 6.149504395842087e-05, "loss": 3.5748, "step": 557 }, { "epoch": 0.89, "learning_rate": 5.971775505458443e-05, "loss": 3.3382, "step": 558 }, { "epoch": 0.89, "learning_rate": 5.7965736530010916e-05, "loss": 3.7502, "step": 559 }, { "epoch": 0.9, "learning_rate": 5.623903547074549e-05, "loss": 3.9836, "step": 560 }, { "epoch": 0.9, "learning_rate": 5.453769828241873e-05, "loss": 3.8822, "step": 561 }, { "epoch": 0.9, "learning_rate": 5.286177068899989e-05, "loss": 3.6873, "step": 562 }, { "epoch": 0.9, "learning_rate": 5.121129773156663e-05, "loss": 3.5527, "step": 563 }, { "epoch": 0.9, "learning_rate": 4.9586323767095595e-05, "loss": 3.7644, "step": 564 }, { "epoch": 0.9, "learning_rate": 4.798689246727006e-05, "loss": 3.4792, "step": 565 }, { "epoch": 0.91, "learning_rate": 4.6413046817306404e-05, "loss": 3.5972, "step": 566 }, { "epoch": 0.91, "learning_rate": 4.4864829114798386e-05, "loss": 3.6083, "step": 567 }, { "epoch": 0.91, "learning_rate": 4.334228096858028e-05, "loss": 3.3835, "step": 568 }, { "epoch": 0.91, "learning_rate": 4.184544329761008e-05, "loss": 3.5611, "step": 569 }, { "epoch": 0.91, "learning_rate": 4.037435632986786e-05, "loss": 3.5685, "step": 570 }, { "epoch": 0.91, "learning_rate": 3.8929059601275466e-05, "loss": 3.6629, "step": 571 }, { "epoch": 0.92, "learning_rate": 3.750959195463466e-05, "loss": 3.8282, "step": 572 }, { "epoch": 0.92, "learning_rate": 3.611599153858214e-05, "loss": 3.4119, "step": 573 }, { "epoch": 0.92, "learning_rate": 3.4748295806564356e-05, "loss": 3.3834, "step": 574 }, { "epoch": 0.92, "learning_rate": 3.3406541515832e-05, "loss": 3.5095, "step": 575 }, { "epoch": 0.92, "learning_rate": 3.2090764726451115e-05, "loss": 3.4033, "step": 576 }, { "epoch": 0.92, "learning_rate": 3.080100080033388e-05, "loss": 3.7813, "step": 577 }, { "epoch": 0.92, "learning_rate": 2.9537284400289355e-05, "loss": 3.7199, "step": 578 }, { "epoch": 0.93, "learning_rate": 2.8299649489090474e-05, "loss": 3.875, "step": 579 }, { "epoch": 0.93, "learning_rate": 2.7088129328562527e-05, "loss": 3.3622, "step": 580 }, { "epoch": 0.93, "learning_rate": 2.590275647868867e-05, "loss": 3.4627, "step": 581 }, { "epoch": 0.93, "learning_rate": 2.474356279673462e-05, "loss": 3.2526, "step": 582 }, { "epoch": 0.93, "learning_rate": 2.3610579436392997e-05, "loss": 3.5812, "step": 583 }, { "epoch": 0.93, "learning_rate": 2.2503836846945792e-05, "loss": 3.5794, "step": 584 }, { "epoch": 0.94, "learning_rate": 2.1423364772445886e-05, "loss": 3.9511, "step": 585 }, { "epoch": 0.94, "learning_rate": 2.0369192250918267e-05, "loss": 3.5189, "step": 586 }, { "epoch": 0.94, "learning_rate": 1.9341347613579086e-05, "loss": 3.6849, "step": 587 }, { "epoch": 0.94, "learning_rate": 1.8339858484073934e-05, "loss": 3.4413, "step": 588 }, { "epoch": 0.94, "learning_rate": 1.736475177773633e-05, "loss": 3.8067, "step": 589 }, { "epoch": 0.94, "learning_rate": 1.6416053700863963e-05, "loss": 3.7497, "step": 590 }, { "epoch": 0.95, "learning_rate": 1.549378975001403e-05, "loss": 3.6756, "step": 591 }, { "epoch": 0.95, "learning_rate": 1.459798471131868e-05, "loss": 3.1901, "step": 592 }, { "epoch": 0.95, "learning_rate": 1.3728662659818202e-05, "loss": 3.9096, "step": 593 }, { "epoch": 0.95, "learning_rate": 1.2885846958814673e-05, "loss": 3.6643, "step": 594 }, { "epoch": 0.95, "learning_rate": 1.2069560259243328e-05, "loss": 3.9065, "step": 595 }, { "epoch": 0.95, "learning_rate": 1.1279824499064395e-05, "loss": 3.3801, "step": 596 }, { "epoch": 0.96, "learning_rate": 1.0516660902673447e-05, "loss": 3.5131, "step": 597 }, { "epoch": 0.96, "learning_rate": 9.780089980330642e-06, "loss": 3.6807, "step": 598 }, { "epoch": 0.96, "learning_rate": 9.070131527609604e-06, "loss": 3.5336, "step": 599 }, { "epoch": 0.96, "learning_rate": 8.386804624865851e-06, "loss": 3.7625, "step": 600 }, { "epoch": 0.96, "learning_rate": 7.730127636723538e-06, "loss": 3.7512, "step": 601 }, { "epoch": 0.96, "learning_rate": 7.100118211581852e-06, "loss": 3.8097, "step": 602 }, { "epoch": 0.96, "learning_rate": 6.496793281141055e-06, "loss": 3.5905, "step": 603 }, { "epoch": 0.97, "learning_rate": 5.920169059947411e-06, "loss": 3.7149, "step": 604 }, { "epoch": 0.97, "learning_rate": 5.37026104495697e-06, "loss": 3.7178, "step": 605 }, { "epoch": 0.97, "learning_rate": 4.847084015119574e-06, "loss": 3.8119, "step": 606 }, { "epoch": 0.97, "learning_rate": 4.350652030981395e-06, "loss": 3.7299, "step": 607 }, { "epoch": 0.97, "learning_rate": 3.880978434307236e-06, "loss": 3.4398, "step": 608 }, { "epoch": 0.97, "learning_rate": 3.4380758477219333e-06, "loss": 0.6927, "step": 609 }, { "epoch": 0.98, "learning_rate": 3.0219561743707324e-06, "loss": 3.5615, "step": 610 }, { "epoch": 0.98, "learning_rate": 2.6326305976001054e-06, "loss": 3.8821, "step": 611 }, { "epoch": 0.98, "learning_rate": 2.270109580656543e-06, "loss": 3.8533, "step": 612 }, { "epoch": 0.98, "learning_rate": 1.9344028664056713e-06, "loss": 3.6666, "step": 613 }, { "epoch": 0.98, "learning_rate": 1.6255194770704585e-06, "loss": 3.7957, "step": 614 }, { "epoch": 0.98, "learning_rate": 1.343467713988522e-06, "loss": 3.6175, "step": 615 }, { "epoch": 0.99, "learning_rate": 1.0882551573891952e-06, "loss": 3.7182, "step": 616 }, { "epoch": 0.99, "learning_rate": 8.598886661895789e-07, "loss": 1.4882, "step": 617 }, { "epoch": 0.99, "learning_rate": 6.583743778106888e-07, "loss": 3.2086, "step": 618 }, { "epoch": 0.99, "learning_rate": 4.837177080119214e-07, "loss": 4.0317, "step": 619 }, { "epoch": 0.99, "learning_rate": 3.35923350745948e-07, "loss": 3.6958, "step": 620 }, { "epoch": 0.99, "learning_rate": 2.1499527803214848e-07, "loss": 0.7018, "step": 621 }, { "epoch": 1.0, "learning_rate": 1.209367398504746e-07, "loss": 0.8659, "step": 622 }, { "epoch": 1.0, "learning_rate": 5.3750264053520346e-08, "loss": 3.6124, "step": 623 }, { "epoch": 1.0, "learning_rate": 1.3437656298687096e-08, "loss": 3.505, "step": 624 }, { "epoch": 1.0, "learning_rate": 0.0, "loss": 3.5256, "step": 625 }, { "epoch": 1.0, "step": 625, "total_flos": 4527029523185664.0, "train_loss": 3.7262058422088624, "train_runtime": 851.0907, "train_samples_per_second": 11.75, "train_steps_per_second": 0.734 } ], "logging_steps": 1.0, "max_steps": 625, "num_input_tokens_seen": 0, "num_train_epochs": 1, "save_steps": 24000, "total_flos": 4527029523185664.0, "train_batch_size": 16, "trial_name": null, "trial_params": null }