{ "best_metric": 0.7027972027972028, "best_model_checkpoint": "wav2vec2-5Class-train-test-finetune/checkpoint-721", "epoch": 323.0769230769231, "eval_steps": 500, "global_step": 1050, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.92, "eval_accuracy": 0.34265734265734266, "eval_loss": 1.59893798828125, "eval_runtime": 4.2802, "eval_samples_per_second": 66.819, "eval_steps_per_second": 0.701, "step": 3 }, { "epoch": 1.85, "eval_accuracy": 0.34265734265734266, "eval_loss": 1.5987956523895264, "eval_runtime": 4.8166, "eval_samples_per_second": 59.378, "eval_steps_per_second": 0.623, "step": 6 }, { "epoch": 2.77, "eval_accuracy": 0.34265734265734266, "eval_loss": 1.598555326461792, "eval_runtime": 3.989, "eval_samples_per_second": 71.697, "eval_steps_per_second": 0.752, "step": 9 }, { "epoch": 4.0, "eval_accuracy": 0.34265734265734266, "eval_loss": 1.598075270652771, "eval_runtime": 4.3871, "eval_samples_per_second": 65.191, "eval_steps_per_second": 0.684, "step": 13 }, { "epoch": 4.92, "eval_accuracy": 0.3356643356643357, "eval_loss": 1.5975924730300903, "eval_runtime": 4.7955, "eval_samples_per_second": 59.639, "eval_steps_per_second": 0.626, "step": 16 }, { "epoch": 5.85, "eval_accuracy": 0.34265734265734266, "eval_loss": 1.5970256328582764, "eval_runtime": 4.4665, "eval_samples_per_second": 64.032, "eval_steps_per_second": 0.672, "step": 19 }, { "epoch": 6.77, "eval_accuracy": 0.33916083916083917, "eval_loss": 1.5963499546051025, "eval_runtime": 4.3016, "eval_samples_per_second": 66.488, "eval_steps_per_second": 0.697, "step": 22 }, { "epoch": 8.0, "eval_accuracy": 0.3356643356643357, "eval_loss": 1.5952636003494263, "eval_runtime": 3.9531, "eval_samples_per_second": 72.347, "eval_steps_per_second": 0.759, "step": 26 }, { "epoch": 8.92, "eval_accuracy": 0.32867132867132864, "eval_loss": 1.594333291053772, "eval_runtime": 5.6915, "eval_samples_per_second": 50.25, "eval_steps_per_second": 0.527, "step": 29 }, { "epoch": 9.85, "eval_accuracy": 0.32867132867132864, "eval_loss": 1.5933252573013306, "eval_runtime": 4.4236, "eval_samples_per_second": 64.653, "eval_steps_per_second": 0.678, "step": 32 }, { "epoch": 10.77, "eval_accuracy": 0.32167832167832167, "eval_loss": 1.592211365699768, "eval_runtime": 4.9541, "eval_samples_per_second": 57.73, "eval_steps_per_second": 0.606, "step": 35 }, { "epoch": 12.0, "eval_accuracy": 0.3181818181818182, "eval_loss": 1.5905568599700928, "eval_runtime": 5.1955, "eval_samples_per_second": 55.047, "eval_steps_per_second": 0.577, "step": 39 }, { "epoch": 12.92, "eval_accuracy": 0.3146853146853147, "eval_loss": 1.58920156955719, "eval_runtime": 3.6236, "eval_samples_per_second": 78.926, "eval_steps_per_second": 0.828, "step": 42 }, { "epoch": 13.85, "eval_accuracy": 0.3006993006993007, "eval_loss": 1.5877453088760376, "eval_runtime": 4.348, "eval_samples_per_second": 65.778, "eval_steps_per_second": 0.69, "step": 45 }, { "epoch": 14.77, "eval_accuracy": 0.2937062937062937, "eval_loss": 1.5862104892730713, "eval_runtime": 4.6902, "eval_samples_per_second": 60.978, "eval_steps_per_second": 0.64, "step": 48 }, { "epoch": 15.38, "grad_norm": 65952.0234375, "learning_rate": 1.4285714285714285e-05, "loss": 1.5907, "step": 50 }, { "epoch": 16.0, "eval_accuracy": 0.2972027972027972, "eval_loss": 1.5840750932693481, "eval_runtime": 4.547, "eval_samples_per_second": 62.899, "eval_steps_per_second": 0.66, "step": 52 }, { "epoch": 16.92, "eval_accuracy": 0.28321678321678323, "eval_loss": 1.5823713541030884, "eval_runtime": 5.3625, "eval_samples_per_second": 53.334, "eval_steps_per_second": 0.559, "step": 55 }, { "epoch": 17.85, "eval_accuracy": 0.27972027972027974, "eval_loss": 1.5806101560592651, "eval_runtime": 4.7671, "eval_samples_per_second": 59.995, "eval_steps_per_second": 0.629, "step": 58 }, { "epoch": 18.77, "eval_accuracy": 0.2692307692307692, "eval_loss": 1.5787912607192993, "eval_runtime": 4.3086, "eval_samples_per_second": 66.378, "eval_steps_per_second": 0.696, "step": 61 }, { "epoch": 20.0, "eval_accuracy": 0.2692307692307692, "eval_loss": 1.576175332069397, "eval_runtime": 5.3175, "eval_samples_per_second": 53.784, "eval_steps_per_second": 0.564, "step": 65 }, { "epoch": 20.92, "eval_accuracy": 0.26573426573426573, "eval_loss": 1.5740149021148682, "eval_runtime": 4.5172, "eval_samples_per_second": 63.314, "eval_steps_per_second": 0.664, "step": 68 }, { "epoch": 21.85, "eval_accuracy": 0.25524475524475526, "eval_loss": 1.5717105865478516, "eval_runtime": 3.9011, "eval_samples_per_second": 73.312, "eval_steps_per_second": 0.769, "step": 71 }, { "epoch": 22.77, "eval_accuracy": 0.2517482517482518, "eval_loss": 1.5693939924240112, "eval_runtime": 3.9307, "eval_samples_per_second": 72.76, "eval_steps_per_second": 0.763, "step": 74 }, { "epoch": 24.0, "eval_accuracy": 0.23776223776223776, "eval_loss": 1.566083312034607, "eval_runtime": 3.7134, "eval_samples_per_second": 77.019, "eval_steps_per_second": 0.808, "step": 78 }, { "epoch": 24.92, "eval_accuracy": 0.23426573426573427, "eval_loss": 1.5634570121765137, "eval_runtime": 4.5234, "eval_samples_per_second": 63.226, "eval_steps_per_second": 0.663, "step": 81 }, { "epoch": 25.85, "eval_accuracy": 0.22377622377622378, "eval_loss": 1.5608404874801636, "eval_runtime": 4.4129, "eval_samples_per_second": 64.81, "eval_steps_per_second": 0.68, "step": 84 }, { "epoch": 26.77, "eval_accuracy": 0.22377622377622378, "eval_loss": 1.5581375360488892, "eval_runtime": 4.7168, "eval_samples_per_second": 60.635, "eval_steps_per_second": 0.636, "step": 87 }, { "epoch": 28.0, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5542311668395996, "eval_runtime": 5.4736, "eval_samples_per_second": 52.251, "eval_steps_per_second": 0.548, "step": 91 }, { "epoch": 28.92, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5511480569839478, "eval_runtime": 5.6532, "eval_samples_per_second": 50.591, "eval_steps_per_second": 0.531, "step": 94 }, { "epoch": 29.85, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5479341745376587, "eval_runtime": 5.2852, "eval_samples_per_second": 54.113, "eval_steps_per_second": 0.568, "step": 97 }, { "epoch": 30.77, "grad_norm": 68930.8125, "learning_rate": 2.857142857142857e-05, "loss": 1.5431, "step": 100 }, { "epoch": 30.77, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5448040962219238, "eval_runtime": 4.6157, "eval_samples_per_second": 61.962, "eval_steps_per_second": 0.65, "step": 100 }, { "epoch": 32.0, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5407565832138062, "eval_runtime": 6.2131, "eval_samples_per_second": 46.032, "eval_steps_per_second": 0.483, "step": 104 }, { "epoch": 32.92, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5379865169525146, "eval_runtime": 4.645, "eval_samples_per_second": 61.571, "eval_steps_per_second": 0.646, "step": 107 }, { "epoch": 33.85, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5359200239181519, "eval_runtime": 5.5884, "eval_samples_per_second": 51.178, "eval_steps_per_second": 0.537, "step": 110 }, { "epoch": 34.77, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5345218181610107, "eval_runtime": 4.5718, "eval_samples_per_second": 62.557, "eval_steps_per_second": 0.656, "step": 113 }, { "epoch": 36.0, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5334985256195068, "eval_runtime": 5.3526, "eval_samples_per_second": 53.432, "eval_steps_per_second": 0.56, "step": 117 }, { "epoch": 36.92, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5340909957885742, "eval_runtime": 4.471, "eval_samples_per_second": 63.967, "eval_steps_per_second": 0.671, "step": 120 }, { "epoch": 37.85, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5361381769180298, "eval_runtime": 3.5623, "eval_samples_per_second": 80.286, "eval_steps_per_second": 0.842, "step": 123 }, { "epoch": 38.77, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5397439002990723, "eval_runtime": 4.9023, "eval_samples_per_second": 58.34, "eval_steps_per_second": 0.612, "step": 126 }, { "epoch": 40.0, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5478534698486328, "eval_runtime": 3.7352, "eval_samples_per_second": 76.569, "eval_steps_per_second": 0.803, "step": 130 }, { "epoch": 40.92, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5564229488372803, "eval_runtime": 4.3225, "eval_samples_per_second": 66.166, "eval_steps_per_second": 0.694, "step": 133 }, { "epoch": 41.85, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5678777694702148, "eval_runtime": 4.6076, "eval_samples_per_second": 62.072, "eval_steps_per_second": 0.651, "step": 136 }, { "epoch": 42.77, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.5821971893310547, "eval_runtime": 4.2697, "eval_samples_per_second": 66.983, "eval_steps_per_second": 0.703, "step": 139 }, { "epoch": 44.0, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.6002099514007568, "eval_runtime": 4.533, "eval_samples_per_second": 63.094, "eval_steps_per_second": 0.662, "step": 143 }, { "epoch": 44.92, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.6109449863433838, "eval_runtime": 3.9799, "eval_samples_per_second": 71.861, "eval_steps_per_second": 0.754, "step": 146 }, { "epoch": 45.85, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.6145771741867065, "eval_runtime": 4.3613, "eval_samples_per_second": 65.576, "eval_steps_per_second": 0.688, "step": 149 }, { "epoch": 46.15, "grad_norm": 45833.69921875, "learning_rate": 2.857142857142857e-05, "loss": 1.4033, "step": 150 }, { "epoch": 46.77, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.6130825281143188, "eval_runtime": 4.2963, "eval_samples_per_second": 66.568, "eval_steps_per_second": 0.698, "step": 152 }, { "epoch": 48.0, "eval_accuracy": 0.22727272727272727, "eval_loss": 1.6008453369140625, "eval_runtime": 4.063, "eval_samples_per_second": 70.391, "eval_steps_per_second": 0.738, "step": 156 }, { "epoch": 48.92, "eval_accuracy": 0.24125874125874125, "eval_loss": 1.586226224899292, "eval_runtime": 4.5029, "eval_samples_per_second": 63.515, "eval_steps_per_second": 0.666, "step": 159 }, { "epoch": 49.85, "eval_accuracy": 0.2692307692307692, "eval_loss": 1.572645902633667, "eval_runtime": 5.0597, "eval_samples_per_second": 56.525, "eval_steps_per_second": 0.593, "step": 162 }, { "epoch": 50.77, "eval_accuracy": 0.2692307692307692, "eval_loss": 1.559901237487793, "eval_runtime": 4.4174, "eval_samples_per_second": 64.744, "eval_steps_per_second": 0.679, "step": 165 }, { "epoch": 52.0, "eval_accuracy": 0.2867132867132867, "eval_loss": 1.5458828210830688, "eval_runtime": 4.357, "eval_samples_per_second": 65.642, "eval_steps_per_second": 0.689, "step": 169 }, { "epoch": 52.92, "eval_accuracy": 0.2937062937062937, "eval_loss": 1.5382803678512573, "eval_runtime": 5.6394, "eval_samples_per_second": 50.714, "eval_steps_per_second": 0.532, "step": 172 }, { "epoch": 53.85, "eval_accuracy": 0.3146853146853147, "eval_loss": 1.5310516357421875, "eval_runtime": 4.4695, "eval_samples_per_second": 63.989, "eval_steps_per_second": 0.671, "step": 175 }, { "epoch": 54.77, "eval_accuracy": 0.32517482517482516, "eval_loss": 1.5242317914962769, "eval_runtime": 3.8554, "eval_samples_per_second": 74.181, "eval_steps_per_second": 0.778, "step": 178 }, { "epoch": 56.0, "eval_accuracy": 0.3356643356643357, "eval_loss": 1.5169461965560913, "eval_runtime": 3.9817, "eval_samples_per_second": 71.828, "eval_steps_per_second": 0.753, "step": 182 }, { "epoch": 56.92, "eval_accuracy": 0.34265734265734266, "eval_loss": 1.5103094577789307, "eval_runtime": 3.9287, "eval_samples_per_second": 72.797, "eval_steps_per_second": 0.764, "step": 185 }, { "epoch": 57.85, "eval_accuracy": 0.34615384615384615, "eval_loss": 1.5055506229400635, "eval_runtime": 4.3922, "eval_samples_per_second": 65.115, "eval_steps_per_second": 0.683, "step": 188 }, { "epoch": 58.77, "eval_accuracy": 0.34615384615384615, "eval_loss": 1.4995349645614624, "eval_runtime": 4.2261, "eval_samples_per_second": 67.675, "eval_steps_per_second": 0.71, "step": 191 }, { "epoch": 60.0, "eval_accuracy": 0.34965034965034963, "eval_loss": 1.4939184188842773, "eval_runtime": 3.9946, "eval_samples_per_second": 71.597, "eval_steps_per_second": 0.751, "step": 195 }, { "epoch": 60.92, "eval_accuracy": 0.36013986013986016, "eval_loss": 1.4870301485061646, "eval_runtime": 4.7123, "eval_samples_per_second": 60.693, "eval_steps_per_second": 0.637, "step": 198 }, { "epoch": 61.54, "grad_norm": 27324.4609375, "learning_rate": 2.6984126984126984e-05, "loss": 1.2485, "step": 200 }, { "epoch": 61.85, "eval_accuracy": 0.36713286713286714, "eval_loss": 1.4828742742538452, "eval_runtime": 4.8484, "eval_samples_per_second": 58.989, "eval_steps_per_second": 0.619, "step": 201 }, { "epoch": 62.77, "eval_accuracy": 0.3741258741258741, "eval_loss": 1.4735387563705444, "eval_runtime": 4.203, "eval_samples_per_second": 68.047, "eval_steps_per_second": 0.714, "step": 204 }, { "epoch": 64.0, "eval_accuracy": 0.3811188811188811, "eval_loss": 1.4612373113632202, "eval_runtime": 4.6341, "eval_samples_per_second": 61.716, "eval_steps_per_second": 0.647, "step": 208 }, { "epoch": 64.92, "eval_accuracy": 0.3986013986013986, "eval_loss": 1.4491915702819824, "eval_runtime": 3.9863, "eval_samples_per_second": 71.745, "eval_steps_per_second": 0.753, "step": 211 }, { "epoch": 65.85, "eval_accuracy": 0.4125874125874126, "eval_loss": 1.4364999532699585, "eval_runtime": 4.1321, "eval_samples_per_second": 69.214, "eval_steps_per_second": 0.726, "step": 214 }, { "epoch": 66.77, "eval_accuracy": 0.4230769230769231, "eval_loss": 1.4226809740066528, "eval_runtime": 4.2397, "eval_samples_per_second": 67.458, "eval_steps_per_second": 0.708, "step": 217 }, { "epoch": 68.0, "eval_accuracy": 0.43356643356643354, "eval_loss": 1.4095807075500488, "eval_runtime": 3.8645, "eval_samples_per_second": 74.007, "eval_steps_per_second": 0.776, "step": 221 }, { "epoch": 68.92, "eval_accuracy": 0.4370629370629371, "eval_loss": 1.4010183811187744, "eval_runtime": 4.5348, "eval_samples_per_second": 63.068, "eval_steps_per_second": 0.662, "step": 224 }, { "epoch": 69.85, "eval_accuracy": 0.4405594405594406, "eval_loss": 1.3949679136276245, "eval_runtime": 4.4414, "eval_samples_per_second": 64.394, "eval_steps_per_second": 0.675, "step": 227 }, { "epoch": 70.77, "eval_accuracy": 0.4370629370629371, "eval_loss": 1.3919552564620972, "eval_runtime": 4.3028, "eval_samples_per_second": 66.468, "eval_steps_per_second": 0.697, "step": 230 }, { "epoch": 72.0, "eval_accuracy": 0.4405594405594406, "eval_loss": 1.3798925876617432, "eval_runtime": 3.4387, "eval_samples_per_second": 83.17, "eval_steps_per_second": 0.872, "step": 234 }, { "epoch": 72.92, "eval_accuracy": 0.44755244755244755, "eval_loss": 1.366864800453186, "eval_runtime": 4.6503, "eval_samples_per_second": 61.502, "eval_steps_per_second": 0.645, "step": 237 }, { "epoch": 73.85, "eval_accuracy": 0.45454545454545453, "eval_loss": 1.3514918088912964, "eval_runtime": 4.5609, "eval_samples_per_second": 62.707, "eval_steps_per_second": 0.658, "step": 240 }, { "epoch": 74.77, "eval_accuracy": 0.47202797202797203, "eval_loss": 1.3400850296020508, "eval_runtime": 3.8017, "eval_samples_per_second": 75.229, "eval_steps_per_second": 0.789, "step": 243 }, { "epoch": 76.0, "eval_accuracy": 0.4825174825174825, "eval_loss": 1.3286209106445312, "eval_runtime": 5.7477, "eval_samples_per_second": 49.759, "eval_steps_per_second": 0.522, "step": 247 }, { "epoch": 76.92, "grad_norm": 23198.236328125, "learning_rate": 2.5396825396825397e-05, "loss": 1.1198, "step": 250 }, { "epoch": 76.92, "eval_accuracy": 0.486013986013986, "eval_loss": 1.317462682723999, "eval_runtime": 4.5266, "eval_samples_per_second": 63.182, "eval_steps_per_second": 0.663, "step": 250 }, { "epoch": 77.85, "eval_accuracy": 0.48951048951048953, "eval_loss": 1.3067171573638916, "eval_runtime": 3.882, "eval_samples_per_second": 73.673, "eval_steps_per_second": 0.773, "step": 253 }, { "epoch": 78.77, "eval_accuracy": 0.4825174825174825, "eval_loss": 1.3013015985488892, "eval_runtime": 4.0902, "eval_samples_per_second": 69.923, "eval_steps_per_second": 0.733, "step": 256 }, { "epoch": 80.0, "eval_accuracy": 0.479020979020979, "eval_loss": 1.2954434156417847, "eval_runtime": 5.4081, "eval_samples_per_second": 52.884, "eval_steps_per_second": 0.555, "step": 260 }, { "epoch": 80.92, "eval_accuracy": 0.486013986013986, "eval_loss": 1.289677381515503, "eval_runtime": 4.384, "eval_samples_per_second": 65.238, "eval_steps_per_second": 0.684, "step": 263 }, { "epoch": 81.85, "eval_accuracy": 0.486013986013986, "eval_loss": 1.283199667930603, "eval_runtime": 4.3325, "eval_samples_per_second": 66.013, "eval_steps_per_second": 0.692, "step": 266 }, { "epoch": 82.77, "eval_accuracy": 0.4825174825174825, "eval_loss": 1.2712346315383911, "eval_runtime": 4.6039, "eval_samples_per_second": 62.121, "eval_steps_per_second": 0.652, "step": 269 }, { "epoch": 84.0, "eval_accuracy": 0.493006993006993, "eval_loss": 1.2584125995635986, "eval_runtime": 4.5791, "eval_samples_per_second": 62.458, "eval_steps_per_second": 0.655, "step": 273 }, { "epoch": 84.92, "eval_accuracy": 0.4965034965034965, "eval_loss": 1.2516244649887085, "eval_runtime": 4.8825, "eval_samples_per_second": 58.577, "eval_steps_per_second": 0.614, "step": 276 }, { "epoch": 85.85, "eval_accuracy": 0.5, "eval_loss": 1.2455971240997314, "eval_runtime": 3.9744, "eval_samples_per_second": 71.96, "eval_steps_per_second": 0.755, "step": 279 }, { "epoch": 86.77, "eval_accuracy": 0.5104895104895105, "eval_loss": 1.2443982362747192, "eval_runtime": 4.5207, "eval_samples_per_second": 63.265, "eval_steps_per_second": 0.664, "step": 282 }, { "epoch": 88.0, "eval_accuracy": 0.5104895104895105, "eval_loss": 1.2373132705688477, "eval_runtime": 5.6152, "eval_samples_per_second": 50.933, "eval_steps_per_second": 0.534, "step": 286 }, { "epoch": 88.92, "eval_accuracy": 0.513986013986014, "eval_loss": 1.2309471368789673, "eval_runtime": 4.7969, "eval_samples_per_second": 59.622, "eval_steps_per_second": 0.625, "step": 289 }, { "epoch": 89.85, "eval_accuracy": 0.5209790209790209, "eval_loss": 1.2219436168670654, "eval_runtime": 4.2518, "eval_samples_per_second": 67.266, "eval_steps_per_second": 0.706, "step": 292 }, { "epoch": 90.77, "eval_accuracy": 0.5209790209790209, "eval_loss": 1.2145464420318604, "eval_runtime": 4.6368, "eval_samples_per_second": 61.68, "eval_steps_per_second": 0.647, "step": 295 }, { "epoch": 92.0, "eval_accuracy": 0.527972027972028, "eval_loss": 1.2054263353347778, "eval_runtime": 4.2071, "eval_samples_per_second": 67.98, "eval_steps_per_second": 0.713, "step": 299 }, { "epoch": 92.31, "grad_norm": 29195.7578125, "learning_rate": 2.380952380952381e-05, "loss": 0.9915, "step": 300 }, { "epoch": 92.92, "eval_accuracy": 0.534965034965035, "eval_loss": 1.1981616020202637, "eval_runtime": 4.3609, "eval_samples_per_second": 65.583, "eval_steps_per_second": 0.688, "step": 302 }, { "epoch": 93.85, "eval_accuracy": 0.5384615384615384, "eval_loss": 1.1913262605667114, "eval_runtime": 3.9073, "eval_samples_per_second": 73.197, "eval_steps_per_second": 0.768, "step": 305 }, { "epoch": 94.77, "eval_accuracy": 0.5454545454545454, "eval_loss": 1.185881495475769, "eval_runtime": 3.928, "eval_samples_per_second": 72.811, "eval_steps_per_second": 0.764, "step": 308 }, { "epoch": 96.0, "eval_accuracy": 0.548951048951049, "eval_loss": 1.179394006729126, "eval_runtime": 4.1933, "eval_samples_per_second": 68.204, "eval_steps_per_second": 0.715, "step": 312 }, { "epoch": 96.92, "eval_accuracy": 0.5454545454545454, "eval_loss": 1.1733678579330444, "eval_runtime": 5.0205, "eval_samples_per_second": 56.967, "eval_steps_per_second": 0.598, "step": 315 }, { "epoch": 97.85, "eval_accuracy": 0.5524475524475524, "eval_loss": 1.1637603044509888, "eval_runtime": 4.8886, "eval_samples_per_second": 58.503, "eval_steps_per_second": 0.614, "step": 318 }, { "epoch": 98.77, "eval_accuracy": 0.5524475524475524, "eval_loss": 1.1549575328826904, "eval_runtime": 4.9266, "eval_samples_per_second": 58.052, "eval_steps_per_second": 0.609, "step": 321 }, { "epoch": 100.0, "eval_accuracy": 0.548951048951049, "eval_loss": 1.1464989185333252, "eval_runtime": 4.7642, "eval_samples_per_second": 60.032, "eval_steps_per_second": 0.63, "step": 325 }, { "epoch": 100.92, "eval_accuracy": 0.5594405594405595, "eval_loss": 1.1443748474121094, "eval_runtime": 4.7025, "eval_samples_per_second": 60.819, "eval_steps_per_second": 0.638, "step": 328 }, { "epoch": 101.85, "eval_accuracy": 0.5629370629370629, "eval_loss": 1.1359333992004395, "eval_runtime": 4.6342, "eval_samples_per_second": 61.715, "eval_steps_per_second": 0.647, "step": 331 }, { "epoch": 102.77, "eval_accuracy": 0.5664335664335665, "eval_loss": 1.1271060705184937, "eval_runtime": 4.4245, "eval_samples_per_second": 64.639, "eval_steps_per_second": 0.678, "step": 334 }, { "epoch": 104.0, "eval_accuracy": 0.5769230769230769, "eval_loss": 1.109040379524231, "eval_runtime": 4.9047, "eval_samples_per_second": 58.311, "eval_steps_per_second": 0.612, "step": 338 }, { "epoch": 104.92, "eval_accuracy": 0.5944055944055944, "eval_loss": 1.0972033739089966, "eval_runtime": 4.5473, "eval_samples_per_second": 62.895, "eval_steps_per_second": 0.66, "step": 341 }, { "epoch": 105.85, "eval_accuracy": 0.6013986013986014, "eval_loss": 1.090105414390564, "eval_runtime": 3.7875, "eval_samples_per_second": 75.511, "eval_steps_per_second": 0.792, "step": 344 }, { "epoch": 106.77, "eval_accuracy": 0.6083916083916084, "eval_loss": 1.0809463262557983, "eval_runtime": 4.7656, "eval_samples_per_second": 60.014, "eval_steps_per_second": 0.63, "step": 347 }, { "epoch": 107.69, "grad_norm": 32308.33984375, "learning_rate": 2.222222222222222e-05, "loss": 0.8834, "step": 350 }, { "epoch": 108.0, "eval_accuracy": 0.6118881118881119, "eval_loss": 1.0683268308639526, "eval_runtime": 4.3145, "eval_samples_per_second": 66.288, "eval_steps_per_second": 0.695, "step": 351 }, { "epoch": 108.92, "eval_accuracy": 0.6223776223776224, "eval_loss": 1.0605404376983643, "eval_runtime": 4.6097, "eval_samples_per_second": 62.043, "eval_steps_per_second": 0.651, "step": 354 }, { "epoch": 109.85, "eval_accuracy": 0.6258741258741258, "eval_loss": 1.0562984943389893, "eval_runtime": 4.859, "eval_samples_per_second": 58.86, "eval_steps_per_second": 0.617, "step": 357 }, { "epoch": 110.77, "eval_accuracy": 0.6223776223776224, "eval_loss": 1.0537959337234497, "eval_runtime": 4.948, "eval_samples_per_second": 57.801, "eval_steps_per_second": 0.606, "step": 360 }, { "epoch": 112.0, "eval_accuracy": 0.6153846153846154, "eval_loss": 1.0491102933883667, "eval_runtime": 4.1434, "eval_samples_per_second": 69.026, "eval_steps_per_second": 0.724, "step": 364 }, { "epoch": 112.92, "eval_accuracy": 0.6118881118881119, "eval_loss": 1.044057011604309, "eval_runtime": 4.3774, "eval_samples_per_second": 65.336, "eval_steps_per_second": 0.685, "step": 367 }, { "epoch": 113.85, "eval_accuracy": 0.6118881118881119, "eval_loss": 1.0357924699783325, "eval_runtime": 4.7038, "eval_samples_per_second": 60.801, "eval_steps_per_second": 0.638, "step": 370 }, { "epoch": 114.77, "eval_accuracy": 0.6223776223776224, "eval_loss": 1.0194157361984253, "eval_runtime": 5.0902, "eval_samples_per_second": 56.187, "eval_steps_per_second": 0.589, "step": 373 }, { "epoch": 116.0, "eval_accuracy": 0.6293706293706294, "eval_loss": 1.0034115314483643, "eval_runtime": 4.386, "eval_samples_per_second": 65.208, "eval_steps_per_second": 0.684, "step": 377 }, { "epoch": 116.92, "eval_accuracy": 0.6258741258741258, "eval_loss": 0.9991269707679749, "eval_runtime": 5.2708, "eval_samples_per_second": 54.261, "eval_steps_per_second": 0.569, "step": 380 }, { "epoch": 117.85, "eval_accuracy": 0.6258741258741258, "eval_loss": 0.9959561824798584, "eval_runtime": 4.7556, "eval_samples_per_second": 60.139, "eval_steps_per_second": 0.631, "step": 383 }, { "epoch": 118.77, "eval_accuracy": 0.6293706293706294, "eval_loss": 0.9911425113677979, "eval_runtime": 4.0817, "eval_samples_per_second": 70.068, "eval_steps_per_second": 0.735, "step": 386 }, { "epoch": 120.0, "eval_accuracy": 0.6433566433566433, "eval_loss": 0.9834115505218506, "eval_runtime": 4.0058, "eval_samples_per_second": 71.396, "eval_steps_per_second": 0.749, "step": 390 }, { "epoch": 120.92, "eval_accuracy": 0.6433566433566433, "eval_loss": 0.9775691628456116, "eval_runtime": 4.3856, "eval_samples_per_second": 65.214, "eval_steps_per_second": 0.684, "step": 393 }, { "epoch": 121.85, "eval_accuracy": 0.6433566433566433, "eval_loss": 0.9772741198539734, "eval_runtime": 4.6976, "eval_samples_per_second": 60.882, "eval_steps_per_second": 0.639, "step": 396 }, { "epoch": 122.77, "eval_accuracy": 0.6433566433566433, "eval_loss": 0.9734641909599304, "eval_runtime": 4.6506, "eval_samples_per_second": 61.498, "eval_steps_per_second": 0.645, "step": 399 }, { "epoch": 123.08, "grad_norm": 27630.990234375, "learning_rate": 2.0634920634920633e-05, "loss": 0.7786, "step": 400 }, { "epoch": 124.0, "eval_accuracy": 0.6398601398601399, "eval_loss": 0.9730696082115173, "eval_runtime": 3.9976, "eval_samples_per_second": 71.542, "eval_steps_per_second": 0.75, "step": 403 }, { "epoch": 124.92, "eval_accuracy": 0.6433566433566433, "eval_loss": 0.9727755188941956, "eval_runtime": 4.0553, "eval_samples_per_second": 70.525, "eval_steps_per_second": 0.74, "step": 406 }, { "epoch": 125.85, "eval_accuracy": 0.6573426573426573, "eval_loss": 0.9657326936721802, "eval_runtime": 4.4666, "eval_samples_per_second": 64.031, "eval_steps_per_second": 0.672, "step": 409 }, { "epoch": 126.77, "eval_accuracy": 0.6573426573426573, "eval_loss": 0.9547586441040039, "eval_runtime": 4.6999, "eval_samples_per_second": 60.852, "eval_steps_per_second": 0.638, "step": 412 }, { "epoch": 128.0, "eval_accuracy": 0.6643356643356644, "eval_loss": 0.942358136177063, "eval_runtime": 4.8438, "eval_samples_per_second": 59.045, "eval_steps_per_second": 0.619, "step": 416 }, { "epoch": 128.92, "eval_accuracy": 0.6678321678321678, "eval_loss": 0.9391436576843262, "eval_runtime": 4.4506, "eval_samples_per_second": 64.261, "eval_steps_per_second": 0.674, "step": 419 }, { "epoch": 129.85, "eval_accuracy": 0.6678321678321678, "eval_loss": 0.9418392777442932, "eval_runtime": 4.2912, "eval_samples_per_second": 66.648, "eval_steps_per_second": 0.699, "step": 422 }, { "epoch": 130.77, "eval_accuracy": 0.6608391608391608, "eval_loss": 0.9476207494735718, "eval_runtime": 4.7281, "eval_samples_per_second": 60.49, "eval_steps_per_second": 0.635, "step": 425 }, { "epoch": 132.0, "eval_accuracy": 0.6643356643356644, "eval_loss": 0.9457269310951233, "eval_runtime": 4.314, "eval_samples_per_second": 66.295, "eval_steps_per_second": 0.695, "step": 429 }, { "epoch": 132.92, "eval_accuracy": 0.6643356643356644, "eval_loss": 0.941338062286377, "eval_runtime": 3.916, "eval_samples_per_second": 73.033, "eval_steps_per_second": 0.766, "step": 432 }, { "epoch": 133.85, "eval_accuracy": 0.6678321678321678, "eval_loss": 0.9334166049957275, "eval_runtime": 4.5886, "eval_samples_per_second": 62.329, "eval_steps_per_second": 0.654, "step": 435 }, { "epoch": 134.77, "eval_accuracy": 0.6678321678321678, "eval_loss": 0.9328890442848206, "eval_runtime": 4.1417, "eval_samples_per_second": 69.054, "eval_steps_per_second": 0.724, "step": 438 }, { "epoch": 136.0, "eval_accuracy": 0.6713286713286714, "eval_loss": 0.9333996772766113, "eval_runtime": 4.538, "eval_samples_per_second": 63.023, "eval_steps_per_second": 0.661, "step": 442 }, { "epoch": 136.92, "eval_accuracy": 0.6713286713286714, "eval_loss": 0.9264596700668335, "eval_runtime": 4.6642, "eval_samples_per_second": 61.318, "eval_steps_per_second": 0.643, "step": 445 }, { "epoch": 137.85, "eval_accuracy": 0.6713286713286714, "eval_loss": 0.9186587929725647, "eval_runtime": 4.5978, "eval_samples_per_second": 62.204, "eval_steps_per_second": 0.652, "step": 448 }, { "epoch": 138.46, "grad_norm": 34684.0078125, "learning_rate": 1.9047619047619046e-05, "loss": 0.7133, "step": 450 }, { "epoch": 138.77, "eval_accuracy": 0.6678321678321678, "eval_loss": 0.916916012763977, "eval_runtime": 4.1718, "eval_samples_per_second": 68.556, "eval_steps_per_second": 0.719, "step": 451 }, { "epoch": 140.0, "eval_accuracy": 0.6713286713286714, "eval_loss": 0.9141567349433899, "eval_runtime": 4.8158, "eval_samples_per_second": 59.388, "eval_steps_per_second": 0.623, "step": 455 }, { "epoch": 140.92, "eval_accuracy": 0.6713286713286714, "eval_loss": 0.9131244421005249, "eval_runtime": 4.3984, "eval_samples_per_second": 65.024, "eval_steps_per_second": 0.682, "step": 458 }, { "epoch": 141.85, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.9160958528518677, "eval_runtime": 3.9738, "eval_samples_per_second": 71.971, "eval_steps_per_second": 0.755, "step": 461 }, { "epoch": 142.77, "eval_accuracy": 0.6678321678321678, "eval_loss": 0.9223662614822388, "eval_runtime": 3.7836, "eval_samples_per_second": 75.589, "eval_steps_per_second": 0.793, "step": 464 }, { "epoch": 144.0, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.9139449000358582, "eval_runtime": 4.0554, "eval_samples_per_second": 70.522, "eval_steps_per_second": 0.74, "step": 468 }, { "epoch": 144.92, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.9089756608009338, "eval_runtime": 4.4989, "eval_samples_per_second": 63.571, "eval_steps_per_second": 0.667, "step": 471 }, { "epoch": 145.85, "eval_accuracy": 0.6713286713286714, "eval_loss": 0.9072948694229126, "eval_runtime": 3.984, "eval_samples_per_second": 71.788, "eval_steps_per_second": 0.753, "step": 474 }, { "epoch": 146.77, "eval_accuracy": 0.6608391608391608, "eval_loss": 0.9110231995582581, "eval_runtime": 4.596, "eval_samples_per_second": 62.228, "eval_steps_per_second": 0.653, "step": 477 }, { "epoch": 148.0, "eval_accuracy": 0.6573426573426573, "eval_loss": 0.9167369604110718, "eval_runtime": 4.7051, "eval_samples_per_second": 60.785, "eval_steps_per_second": 0.638, "step": 481 }, { "epoch": 148.92, "eval_accuracy": 0.6643356643356644, "eval_loss": 0.9118071794509888, "eval_runtime": 3.9295, "eval_samples_per_second": 72.783, "eval_steps_per_second": 0.763, "step": 484 }, { "epoch": 149.85, "eval_accuracy": 0.6713286713286714, "eval_loss": 0.8996461629867554, "eval_runtime": 4.5063, "eval_samples_per_second": 63.466, "eval_steps_per_second": 0.666, "step": 487 }, { "epoch": 150.77, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.8903929591178894, "eval_runtime": 4.0074, "eval_samples_per_second": 71.369, "eval_steps_per_second": 0.749, "step": 490 }, { "epoch": 152.0, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.8889052867889404, "eval_runtime": 4.2482, "eval_samples_per_second": 67.323, "eval_steps_per_second": 0.706, "step": 494 }, { "epoch": 152.92, "eval_accuracy": 0.6713286713286714, "eval_loss": 0.889894425868988, "eval_runtime": 4.7658, "eval_samples_per_second": 60.011, "eval_steps_per_second": 0.629, "step": 497 }, { "epoch": 153.85, "grad_norm": 27670.865234375, "learning_rate": 1.746031746031746e-05, "loss": 0.6674, "step": 500 }, { "epoch": 153.85, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.887377917766571, "eval_runtime": 4.6951, "eval_samples_per_second": 60.915, "eval_steps_per_second": 0.639, "step": 500 }, { "epoch": 154.77, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.8873924016952515, "eval_runtime": 3.8042, "eval_samples_per_second": 75.181, "eval_steps_per_second": 0.789, "step": 503 }, { "epoch": 156.0, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.8905075788497925, "eval_runtime": 3.9282, "eval_samples_per_second": 72.806, "eval_steps_per_second": 0.764, "step": 507 }, { "epoch": 156.92, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.8881194591522217, "eval_runtime": 4.2085, "eval_samples_per_second": 67.957, "eval_steps_per_second": 0.713, "step": 510 }, { "epoch": 157.85, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.882903516292572, "eval_runtime": 5.345, "eval_samples_per_second": 53.508, "eval_steps_per_second": 0.561, "step": 513 }, { "epoch": 158.77, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.8809071183204651, "eval_runtime": 4.4142, "eval_samples_per_second": 64.791, "eval_steps_per_second": 0.68, "step": 516 }, { "epoch": 160.0, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.8780828714370728, "eval_runtime": 3.6498, "eval_samples_per_second": 78.361, "eval_steps_per_second": 0.822, "step": 520 }, { "epoch": 160.92, "eval_accuracy": 0.6818181818181818, "eval_loss": 0.8776365518569946, "eval_runtime": 3.4668, "eval_samples_per_second": 82.497, "eval_steps_per_second": 0.865, "step": 523 }, { "epoch": 161.85, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.8795685768127441, "eval_runtime": 3.8004, "eval_samples_per_second": 75.256, "eval_steps_per_second": 0.789, "step": 526 }, { "epoch": 162.77, "eval_accuracy": 0.6818181818181818, "eval_loss": 0.8795468807220459, "eval_runtime": 3.8694, "eval_samples_per_second": 73.913, "eval_steps_per_second": 0.775, "step": 529 }, { "epoch": 164.0, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.8797011971473694, "eval_runtime": 4.1348, "eval_samples_per_second": 69.169, "eval_steps_per_second": 0.726, "step": 533 }, { "epoch": 164.92, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.8706856966018677, "eval_runtime": 4.5762, "eval_samples_per_second": 62.498, "eval_steps_per_second": 0.656, "step": 536 }, { "epoch": 165.85, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.8697258830070496, "eval_runtime": 3.5794, "eval_samples_per_second": 79.901, "eval_steps_per_second": 0.838, "step": 539 }, { "epoch": 166.77, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.8723975419998169, "eval_runtime": 5.761, "eval_samples_per_second": 49.644, "eval_steps_per_second": 0.521, "step": 542 }, { "epoch": 168.0, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.870445966720581, "eval_runtime": 4.2907, "eval_samples_per_second": 66.656, "eval_steps_per_second": 0.699, "step": 546 }, { "epoch": 168.92, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.8693636655807495, "eval_runtime": 4.5637, "eval_samples_per_second": 62.668, "eval_steps_per_second": 0.657, "step": 549 }, { "epoch": 169.23, "grad_norm": 67537.203125, "learning_rate": 1.5873015873015872e-05, "loss": 0.6305, "step": 550 }, { "epoch": 169.85, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.8739539980888367, "eval_runtime": 4.5496, "eval_samples_per_second": 62.862, "eval_steps_per_second": 0.659, "step": 552 }, { "epoch": 170.77, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.8713040947914124, "eval_runtime": 4.3907, "eval_samples_per_second": 65.138, "eval_steps_per_second": 0.683, "step": 555 }, { "epoch": 172.0, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.8682331442832947, "eval_runtime": 4.1777, "eval_samples_per_second": 68.459, "eval_steps_per_second": 0.718, "step": 559 }, { "epoch": 172.92, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.868798553943634, "eval_runtime": 3.5218, "eval_samples_per_second": 81.207, "eval_steps_per_second": 0.852, "step": 562 }, { "epoch": 173.85, "eval_accuracy": 0.6818181818181818, "eval_loss": 0.8692768216133118, "eval_runtime": 5.0064, "eval_samples_per_second": 57.127, "eval_steps_per_second": 0.599, "step": 565 }, { "epoch": 174.77, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.874369204044342, "eval_runtime": 4.1257, "eval_samples_per_second": 69.322, "eval_steps_per_second": 0.727, "step": 568 }, { "epoch": 176.0, "eval_accuracy": 0.6783216783216783, "eval_loss": 0.8759630918502808, "eval_runtime": 4.4848, "eval_samples_per_second": 63.771, "eval_steps_per_second": 0.669, "step": 572 }, { "epoch": 176.92, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.8696449398994446, "eval_runtime": 4.1683, "eval_samples_per_second": 68.613, "eval_steps_per_second": 0.72, "step": 575 }, { "epoch": 177.85, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.8668593764305115, "eval_runtime": 4.3889, "eval_samples_per_second": 65.165, "eval_steps_per_second": 0.684, "step": 578 }, { "epoch": 178.77, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.8641146421432495, "eval_runtime": 4.0742, "eval_samples_per_second": 70.197, "eval_steps_per_second": 0.736, "step": 581 }, { "epoch": 180.0, "eval_accuracy": 0.6713286713286714, "eval_loss": 0.8696537613868713, "eval_runtime": 4.1345, "eval_samples_per_second": 69.173, "eval_steps_per_second": 0.726, "step": 585 }, { "epoch": 180.92, "eval_accuracy": 0.6748251748251748, "eval_loss": 0.8678367733955383, "eval_runtime": 3.994, "eval_samples_per_second": 71.607, "eval_steps_per_second": 0.751, "step": 588 }, { "epoch": 181.85, "eval_accuracy": 0.6818181818181818, "eval_loss": 0.8620542287826538, "eval_runtime": 4.32, "eval_samples_per_second": 66.204, "eval_steps_per_second": 0.694, "step": 591 }, { "epoch": 182.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.8557011485099792, "eval_runtime": 4.7717, "eval_samples_per_second": 59.937, "eval_steps_per_second": 0.629, "step": 594 }, { "epoch": 184.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.848114013671875, "eval_runtime": 4.0948, "eval_samples_per_second": 69.845, "eval_steps_per_second": 0.733, "step": 598 }, { "epoch": 184.62, "grad_norm": 36502.2421875, "learning_rate": 1.4285714285714285e-05, "loss": 0.6095, "step": 600 }, { "epoch": 184.92, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.8428906798362732, "eval_runtime": 4.6887, "eval_samples_per_second": 60.997, "eval_steps_per_second": 0.64, "step": 601 }, { "epoch": 185.85, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.8413122892379761, "eval_runtime": 3.8998, "eval_samples_per_second": 73.337, "eval_steps_per_second": 0.769, "step": 604 }, { "epoch": 186.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8402045965194702, "eval_runtime": 4.1508, "eval_samples_per_second": 68.903, "eval_steps_per_second": 0.723, "step": 607 }, { "epoch": 188.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.8415275812149048, "eval_runtime": 4.4966, "eval_samples_per_second": 63.603, "eval_steps_per_second": 0.667, "step": 611 }, { "epoch": 188.92, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8409523963928223, "eval_runtime": 4.0007, "eval_samples_per_second": 71.488, "eval_steps_per_second": 0.75, "step": 614 }, { "epoch": 189.85, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.8388563394546509, "eval_runtime": 4.5212, "eval_samples_per_second": 63.257, "eval_steps_per_second": 0.664, "step": 617 }, { "epoch": 190.77, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.8353860378265381, "eval_runtime": 4.6112, "eval_samples_per_second": 62.023, "eval_steps_per_second": 0.651, "step": 620 }, { "epoch": 192.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.8356983661651611, "eval_runtime": 4.6563, "eval_samples_per_second": 61.422, "eval_steps_per_second": 0.644, "step": 624 }, { "epoch": 192.92, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8400572538375854, "eval_runtime": 5.369, "eval_samples_per_second": 53.269, "eval_steps_per_second": 0.559, "step": 627 }, { "epoch": 193.85, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.844892144203186, "eval_runtime": 4.0956, "eval_samples_per_second": 69.831, "eval_steps_per_second": 0.732, "step": 630 }, { "epoch": 194.77, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8478845357894897, "eval_runtime": 4.6385, "eval_samples_per_second": 61.658, "eval_steps_per_second": 0.647, "step": 633 }, { "epoch": 196.0, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8454630374908447, "eval_runtime": 4.4423, "eval_samples_per_second": 64.381, "eval_steps_per_second": 0.675, "step": 637 }, { "epoch": 196.92, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8421822190284729, "eval_runtime": 3.8632, "eval_samples_per_second": 74.032, "eval_steps_per_second": 0.777, "step": 640 }, { "epoch": 197.85, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8425044417381287, "eval_runtime": 5.1031, "eval_samples_per_second": 56.044, "eval_steps_per_second": 0.588, "step": 643 }, { "epoch": 198.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8436546325683594, "eval_runtime": 4.9685, "eval_samples_per_second": 57.562, "eval_steps_per_second": 0.604, "step": 646 }, { "epoch": 200.0, "grad_norm": 66285.84375, "learning_rate": 1.2698412698412699e-05, "loss": 0.5908, "step": 650 }, { "epoch": 200.0, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8366544246673584, "eval_runtime": 4.3292, "eval_samples_per_second": 66.063, "eval_steps_per_second": 0.693, "step": 650 }, { "epoch": 200.92, "eval_accuracy": 0.6993006993006993, "eval_loss": 0.834704577922821, "eval_runtime": 4.7887, "eval_samples_per_second": 59.724, "eval_steps_per_second": 0.626, "step": 653 }, { "epoch": 201.85, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8286824226379395, "eval_runtime": 4.388, "eval_samples_per_second": 65.178, "eval_steps_per_second": 0.684, "step": 656 }, { "epoch": 202.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8259890079498291, "eval_runtime": 3.7365, "eval_samples_per_second": 76.543, "eval_steps_per_second": 0.803, "step": 659 }, { "epoch": 204.0, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8263576626777649, "eval_runtime": 4.9175, "eval_samples_per_second": 58.159, "eval_steps_per_second": 0.61, "step": 663 }, { "epoch": 204.92, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8295235633850098, "eval_runtime": 4.3071, "eval_samples_per_second": 66.401, "eval_steps_per_second": 0.697, "step": 666 }, { "epoch": 205.85, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8301726579666138, "eval_runtime": 3.7499, "eval_samples_per_second": 76.268, "eval_steps_per_second": 0.8, "step": 669 }, { "epoch": 206.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.828461766242981, "eval_runtime": 3.8022, "eval_samples_per_second": 75.219, "eval_steps_per_second": 0.789, "step": 672 }, { "epoch": 208.0, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.831078052520752, "eval_runtime": 4.2868, "eval_samples_per_second": 66.716, "eval_steps_per_second": 0.7, "step": 676 }, { "epoch": 208.92, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8320910334587097, "eval_runtime": 4.474, "eval_samples_per_second": 63.925, "eval_steps_per_second": 0.671, "step": 679 }, { "epoch": 209.85, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8305550813674927, "eval_runtime": 4.1246, "eval_samples_per_second": 69.341, "eval_steps_per_second": 0.727, "step": 682 }, { "epoch": 210.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8302868604660034, "eval_runtime": 4.9131, "eval_samples_per_second": 58.212, "eval_steps_per_second": 0.611, "step": 685 }, { "epoch": 212.0, "eval_accuracy": 0.6993006993006993, "eval_loss": 0.8256182670593262, "eval_runtime": 4.5542, "eval_samples_per_second": 62.8, "eval_steps_per_second": 0.659, "step": 689 }, { "epoch": 212.92, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8230299353599548, "eval_runtime": 4.2845, "eval_samples_per_second": 66.752, "eval_steps_per_second": 0.7, "step": 692 }, { "epoch": 213.85, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.819442868232727, "eval_runtime": 4.4153, "eval_samples_per_second": 64.775, "eval_steps_per_second": 0.679, "step": 695 }, { "epoch": 214.77, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8183168768882751, "eval_runtime": 4.9672, "eval_samples_per_second": 57.577, "eval_steps_per_second": 0.604, "step": 698 }, { "epoch": 215.38, "grad_norm": 29832.03125, "learning_rate": 1.111111111111111e-05, "loss": 0.5763, "step": 700 }, { "epoch": 216.0, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8231977224349976, "eval_runtime": 4.6354, "eval_samples_per_second": 61.699, "eval_steps_per_second": 0.647, "step": 702 }, { "epoch": 216.92, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.8236932158470154, "eval_runtime": 3.7182, "eval_samples_per_second": 76.92, "eval_steps_per_second": 0.807, "step": 705 }, { "epoch": 217.85, "eval_accuracy": 0.6993006993006993, "eval_loss": 0.8195610642433167, "eval_runtime": 3.5502, "eval_samples_per_second": 80.56, "eval_steps_per_second": 0.845, "step": 708 }, { "epoch": 218.77, "eval_accuracy": 0.6993006993006993, "eval_loss": 0.8142436742782593, "eval_runtime": 4.9155, "eval_samples_per_second": 58.184, "eval_steps_per_second": 0.61, "step": 711 }, { "epoch": 220.0, "eval_accuracy": 0.6993006993006993, "eval_loss": 0.8115321397781372, "eval_runtime": 4.0939, "eval_samples_per_second": 69.86, "eval_steps_per_second": 0.733, "step": 715 }, { "epoch": 220.92, "eval_accuracy": 0.6993006993006993, "eval_loss": 0.8130100965499878, "eval_runtime": 4.2197, "eval_samples_per_second": 67.777, "eval_steps_per_second": 0.711, "step": 718 }, { "epoch": 221.85, "eval_accuracy": 0.7027972027972028, "eval_loss": 0.8156144022941589, "eval_runtime": 4.2344, "eval_samples_per_second": 67.542, "eval_steps_per_second": 0.708, "step": 721 }, { "epoch": 222.77, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8200713992118835, "eval_runtime": 4.8181, "eval_samples_per_second": 59.36, "eval_steps_per_second": 0.623, "step": 724 }, { "epoch": 224.0, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8227414488792419, "eval_runtime": 4.5671, "eval_samples_per_second": 62.621, "eval_steps_per_second": 0.657, "step": 728 }, { "epoch": 224.92, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8232228755950928, "eval_runtime": 5.221, "eval_samples_per_second": 54.779, "eval_steps_per_second": 0.575, "step": 731 }, { "epoch": 225.85, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8198325634002686, "eval_runtime": 4.2136, "eval_samples_per_second": 67.875, "eval_steps_per_second": 0.712, "step": 734 }, { "epoch": 226.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8151125311851501, "eval_runtime": 4.8801, "eval_samples_per_second": 58.606, "eval_steps_per_second": 0.615, "step": 737 }, { "epoch": 228.0, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8136410713195801, "eval_runtime": 5.2461, "eval_samples_per_second": 54.516, "eval_steps_per_second": 0.572, "step": 741 }, { "epoch": 228.92, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8134062886238098, "eval_runtime": 3.6429, "eval_samples_per_second": 78.509, "eval_steps_per_second": 0.824, "step": 744 }, { "epoch": 229.85, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8123226761817932, "eval_runtime": 4.8374, "eval_samples_per_second": 59.122, "eval_steps_per_second": 0.62, "step": 747 }, { "epoch": 230.77, "grad_norm": 27062.134765625, "learning_rate": 9.523809523809523e-06, "loss": 0.57, "step": 750 }, { "epoch": 230.77, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8095433115959167, "eval_runtime": 3.9409, "eval_samples_per_second": 72.572, "eval_steps_per_second": 0.761, "step": 750 }, { "epoch": 232.0, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8082302212715149, "eval_runtime": 4.0933, "eval_samples_per_second": 69.87, "eval_steps_per_second": 0.733, "step": 754 }, { "epoch": 232.92, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8084114193916321, "eval_runtime": 4.4952, "eval_samples_per_second": 63.624, "eval_steps_per_second": 0.667, "step": 757 }, { "epoch": 233.85, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8113557696342468, "eval_runtime": 4.6955, "eval_samples_per_second": 60.909, "eval_steps_per_second": 0.639, "step": 760 }, { "epoch": 234.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8130276799201965, "eval_runtime": 4.9303, "eval_samples_per_second": 58.009, "eval_steps_per_second": 0.608, "step": 763 }, { "epoch": 236.0, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8153804540634155, "eval_runtime": 3.6663, "eval_samples_per_second": 78.007, "eval_steps_per_second": 0.818, "step": 767 }, { "epoch": 236.92, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8160205483436584, "eval_runtime": 4.6226, "eval_samples_per_second": 61.87, "eval_steps_per_second": 0.649, "step": 770 }, { "epoch": 237.85, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.8126419186592102, "eval_runtime": 4.6278, "eval_samples_per_second": 61.801, "eval_steps_per_second": 0.648, "step": 773 }, { "epoch": 238.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.8113960027694702, "eval_runtime": 3.8362, "eval_samples_per_second": 74.552, "eval_steps_per_second": 0.782, "step": 776 }, { "epoch": 240.0, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8041169047355652, "eval_runtime": 5.2095, "eval_samples_per_second": 54.9, "eval_steps_per_second": 0.576, "step": 780 }, { "epoch": 240.92, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8005608916282654, "eval_runtime": 4.0128, "eval_samples_per_second": 71.273, "eval_steps_per_second": 0.748, "step": 783 }, { "epoch": 241.85, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.7987480163574219, "eval_runtime": 4.8789, "eval_samples_per_second": 58.619, "eval_steps_per_second": 0.615, "step": 786 }, { "epoch": 242.77, "eval_accuracy": 0.6993006993006993, "eval_loss": 0.7977189421653748, "eval_runtime": 4.5854, "eval_samples_per_second": 62.372, "eval_steps_per_second": 0.654, "step": 789 }, { "epoch": 244.0, "eval_accuracy": 0.6993006993006993, "eval_loss": 0.8001275658607483, "eval_runtime": 4.7528, "eval_samples_per_second": 60.175, "eval_steps_per_second": 0.631, "step": 793 }, { "epoch": 244.92, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8043994903564453, "eval_runtime": 4.2699, "eval_samples_per_second": 66.98, "eval_steps_per_second": 0.703, "step": 796 }, { "epoch": 245.85, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8082275390625, "eval_runtime": 4.2996, "eval_samples_per_second": 66.518, "eval_steps_per_second": 0.698, "step": 799 }, { "epoch": 246.15, "grad_norm": 99001.8359375, "learning_rate": 7.936507936507936e-06, "loss": 0.5456, "step": 800 }, { "epoch": 246.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.8120755553245544, "eval_runtime": 4.5242, "eval_samples_per_second": 63.216, "eval_steps_per_second": 0.663, "step": 802 }, { "epoch": 248.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.8106970191001892, "eval_runtime": 4.4479, "eval_samples_per_second": 64.3, "eval_steps_per_second": 0.674, "step": 806 }, { "epoch": 248.92, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.806368887424469, "eval_runtime": 4.1522, "eval_samples_per_second": 68.88, "eval_steps_per_second": 0.723, "step": 809 }, { "epoch": 249.85, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8042352199554443, "eval_runtime": 4.4213, "eval_samples_per_second": 64.687, "eval_steps_per_second": 0.679, "step": 812 }, { "epoch": 250.77, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8005724549293518, "eval_runtime": 4.4134, "eval_samples_per_second": 64.802, "eval_steps_per_second": 0.68, "step": 815 }, { "epoch": 252.0, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.7968676090240479, "eval_runtime": 3.8229, "eval_samples_per_second": 74.812, "eval_steps_per_second": 0.785, "step": 819 }, { "epoch": 252.92, "eval_accuracy": 0.6993006993006993, "eval_loss": 0.7954707741737366, "eval_runtime": 4.2693, "eval_samples_per_second": 66.99, "eval_steps_per_second": 0.703, "step": 822 }, { "epoch": 253.85, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.7973347902297974, "eval_runtime": 4.1401, "eval_samples_per_second": 69.081, "eval_steps_per_second": 0.725, "step": 825 }, { "epoch": 254.77, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.8001494407653809, "eval_runtime": 4.4851, "eval_samples_per_second": 63.767, "eval_steps_per_second": 0.669, "step": 828 }, { "epoch": 256.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.80350661277771, "eval_runtime": 4.4996, "eval_samples_per_second": 63.562, "eval_steps_per_second": 0.667, "step": 832 }, { "epoch": 256.92, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.8035485148429871, "eval_runtime": 4.5713, "eval_samples_per_second": 62.564, "eval_steps_per_second": 0.656, "step": 835 }, { "epoch": 257.85, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8012282252311707, "eval_runtime": 4.0638, "eval_samples_per_second": 70.377, "eval_steps_per_second": 0.738, "step": 838 }, { "epoch": 258.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.8000492453575134, "eval_runtime": 4.443, "eval_samples_per_second": 64.372, "eval_steps_per_second": 0.675, "step": 841 }, { "epoch": 260.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7963055968284607, "eval_runtime": 5.2655, "eval_samples_per_second": 54.316, "eval_steps_per_second": 0.57, "step": 845 }, { "epoch": 260.92, "eval_accuracy": 0.6958041958041958, "eval_loss": 0.7927840352058411, "eval_runtime": 5.1407, "eval_samples_per_second": 55.634, "eval_steps_per_second": 0.584, "step": 848 }, { "epoch": 261.54, "grad_norm": 24108.591796875, "learning_rate": 6.349206349206349e-06, "loss": 0.5369, "step": 850 }, { "epoch": 261.85, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7919009327888489, "eval_runtime": 3.8577, "eval_samples_per_second": 74.138, "eval_steps_per_second": 0.778, "step": 851 }, { "epoch": 262.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.791265606880188, "eval_runtime": 4.1966, "eval_samples_per_second": 68.151, "eval_steps_per_second": 0.715, "step": 854 }, { "epoch": 264.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7929325699806213, "eval_runtime": 4.063, "eval_samples_per_second": 70.391, "eval_steps_per_second": 0.738, "step": 858 }, { "epoch": 264.92, "eval_accuracy": 0.6818181818181818, "eval_loss": 0.7954928278923035, "eval_runtime": 4.3933, "eval_samples_per_second": 65.099, "eval_steps_per_second": 0.683, "step": 861 }, { "epoch": 265.85, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7962778210639954, "eval_runtime": 4.4424, "eval_samples_per_second": 64.38, "eval_steps_per_second": 0.675, "step": 864 }, { "epoch": 266.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7951834201812744, "eval_runtime": 4.2605, "eval_samples_per_second": 67.128, "eval_steps_per_second": 0.704, "step": 867 }, { "epoch": 268.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7936495542526245, "eval_runtime": 4.9467, "eval_samples_per_second": 57.816, "eval_steps_per_second": 0.606, "step": 871 }, { "epoch": 268.92, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7928897738456726, "eval_runtime": 4.9925, "eval_samples_per_second": 57.286, "eval_steps_per_second": 0.601, "step": 874 }, { "epoch": 269.85, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7933365702629089, "eval_runtime": 4.4133, "eval_samples_per_second": 64.804, "eval_steps_per_second": 0.68, "step": 877 }, { "epoch": 270.77, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7940818071365356, "eval_runtime": 4.0519, "eval_samples_per_second": 70.584, "eval_steps_per_second": 0.74, "step": 880 }, { "epoch": 272.0, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7939559817314148, "eval_runtime": 4.2845, "eval_samples_per_second": 66.753, "eval_steps_per_second": 0.7, "step": 884 }, { "epoch": 272.92, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7929409742355347, "eval_runtime": 4.885, "eval_samples_per_second": 58.546, "eval_steps_per_second": 0.614, "step": 887 }, { "epoch": 273.85, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7929646968841553, "eval_runtime": 3.7177, "eval_samples_per_second": 76.929, "eval_steps_per_second": 0.807, "step": 890 }, { "epoch": 274.77, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7942932844161987, "eval_runtime": 4.7663, "eval_samples_per_second": 60.004, "eval_steps_per_second": 0.629, "step": 893 }, { "epoch": 276.0, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7943535447120667, "eval_runtime": 4.0017, "eval_samples_per_second": 71.47, "eval_steps_per_second": 0.75, "step": 897 }, { "epoch": 276.92, "grad_norm": 30744.533203125, "learning_rate": 4.7619047619047615e-06, "loss": 0.5388, "step": 900 }, { "epoch": 276.92, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7933218479156494, "eval_runtime": 4.3013, "eval_samples_per_second": 66.492, "eval_steps_per_second": 0.697, "step": 900 }, { "epoch": 277.85, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7914408445358276, "eval_runtime": 4.8732, "eval_samples_per_second": 58.689, "eval_steps_per_second": 0.616, "step": 903 }, { "epoch": 278.77, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7903594970703125, "eval_runtime": 4.6519, "eval_samples_per_second": 61.48, "eval_steps_per_second": 0.645, "step": 906 }, { "epoch": 280.0, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7888299822807312, "eval_runtime": 4.5788, "eval_samples_per_second": 62.462, "eval_steps_per_second": 0.655, "step": 910 }, { "epoch": 280.92, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7900360822677612, "eval_runtime": 4.5971, "eval_samples_per_second": 62.213, "eval_steps_per_second": 0.653, "step": 913 }, { "epoch": 281.85, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7905992865562439, "eval_runtime": 4.4545, "eval_samples_per_second": 64.205, "eval_steps_per_second": 0.673, "step": 916 }, { "epoch": 282.77, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7911333441734314, "eval_runtime": 4.4274, "eval_samples_per_second": 64.598, "eval_steps_per_second": 0.678, "step": 919 }, { "epoch": 284.0, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7906560897827148, "eval_runtime": 3.9207, "eval_samples_per_second": 72.947, "eval_steps_per_second": 0.765, "step": 923 }, { "epoch": 284.92, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7906984686851501, "eval_runtime": 4.5603, "eval_samples_per_second": 62.715, "eval_steps_per_second": 0.658, "step": 926 }, { "epoch": 285.85, "eval_accuracy": 0.6818181818181818, "eval_loss": 0.7905350923538208, "eval_runtime": 4.8134, "eval_samples_per_second": 59.418, "eval_steps_per_second": 0.623, "step": 929 }, { "epoch": 286.77, "eval_accuracy": 0.6818181818181818, "eval_loss": 0.7899833917617798, "eval_runtime": 4.0697, "eval_samples_per_second": 70.275, "eval_steps_per_second": 0.737, "step": 932 }, { "epoch": 288.0, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7901102304458618, "eval_runtime": 4.0126, "eval_samples_per_second": 71.276, "eval_steps_per_second": 0.748, "step": 936 }, { "epoch": 288.92, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7902336120605469, "eval_runtime": 3.8328, "eval_samples_per_second": 74.619, "eval_steps_per_second": 0.783, "step": 939 }, { "epoch": 289.85, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7909765839576721, "eval_runtime": 3.9497, "eval_samples_per_second": 72.411, "eval_steps_per_second": 0.76, "step": 942 }, { "epoch": 290.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7913976907730103, "eval_runtime": 4.7881, "eval_samples_per_second": 59.731, "eval_steps_per_second": 0.627, "step": 945 }, { "epoch": 292.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7919970750808716, "eval_runtime": 4.0436, "eval_samples_per_second": 70.729, "eval_steps_per_second": 0.742, "step": 949 }, { "epoch": 292.31, "grad_norm": 41198.3515625, "learning_rate": 3.1746031746031746e-06, "loss": 0.5261, "step": 950 }, { "epoch": 292.92, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7927921414375305, "eval_runtime": 3.9219, "eval_samples_per_second": 72.923, "eval_steps_per_second": 0.765, "step": 952 }, { "epoch": 293.85, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.793153703212738, "eval_runtime": 4.3649, "eval_samples_per_second": 65.522, "eval_steps_per_second": 0.687, "step": 955 }, { "epoch": 294.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7925400733947754, "eval_runtime": 4.2064, "eval_samples_per_second": 67.992, "eval_steps_per_second": 0.713, "step": 958 }, { "epoch": 296.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7922278046607971, "eval_runtime": 4.03, "eval_samples_per_second": 70.968, "eval_steps_per_second": 0.744, "step": 962 }, { "epoch": 296.92, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7919090986251831, "eval_runtime": 4.4889, "eval_samples_per_second": 63.713, "eval_steps_per_second": 0.668, "step": 965 }, { "epoch": 297.85, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7922202348709106, "eval_runtime": 4.3742, "eval_samples_per_second": 65.383, "eval_steps_per_second": 0.686, "step": 968 }, { "epoch": 298.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7921380400657654, "eval_runtime": 4.27, "eval_samples_per_second": 66.979, "eval_steps_per_second": 0.703, "step": 971 }, { "epoch": 300.0, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7912278175354004, "eval_runtime": 4.209, "eval_samples_per_second": 67.95, "eval_steps_per_second": 0.713, "step": 975 }, { "epoch": 300.92, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7907286882400513, "eval_runtime": 4.5975, "eval_samples_per_second": 62.208, "eval_steps_per_second": 0.653, "step": 978 }, { "epoch": 301.85, "eval_accuracy": 0.6853146853146853, "eval_loss": 0.7895866632461548, "eval_runtime": 4.0629, "eval_samples_per_second": 70.394, "eval_steps_per_second": 0.738, "step": 981 }, { "epoch": 302.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7885376811027527, "eval_runtime": 4.0112, "eval_samples_per_second": 71.301, "eval_steps_per_second": 0.748, "step": 984 }, { "epoch": 304.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7877256870269775, "eval_runtime": 4.4199, "eval_samples_per_second": 64.708, "eval_steps_per_second": 0.679, "step": 988 }, { "epoch": 304.92, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7874112725257874, "eval_runtime": 4.0366, "eval_samples_per_second": 70.852, "eval_steps_per_second": 0.743, "step": 991 }, { "epoch": 305.85, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7876228094100952, "eval_runtime": 4.3519, "eval_samples_per_second": 65.718, "eval_steps_per_second": 0.689, "step": 994 }, { "epoch": 306.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7879106402397156, "eval_runtime": 5.3443, "eval_samples_per_second": 53.515, "eval_steps_per_second": 0.561, "step": 997 }, { "epoch": 307.69, "grad_norm": 31167.6875, "learning_rate": 1.5873015873015873e-06, "loss": 0.5188, "step": 1000 }, { "epoch": 308.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7883804440498352, "eval_runtime": 4.1413, "eval_samples_per_second": 69.06, "eval_steps_per_second": 0.724, "step": 1001 }, { "epoch": 308.92, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7886692881584167, "eval_runtime": 4.049, "eval_samples_per_second": 70.634, "eval_steps_per_second": 0.741, "step": 1004 }, { "epoch": 309.85, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7890444397926331, "eval_runtime": 4.612, "eval_samples_per_second": 62.012, "eval_steps_per_second": 0.65, "step": 1007 }, { "epoch": 310.77, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7894096970558167, "eval_runtime": 3.8027, "eval_samples_per_second": 75.209, "eval_steps_per_second": 0.789, "step": 1010 }, { "epoch": 312.0, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7899323105812073, "eval_runtime": 4.3345, "eval_samples_per_second": 65.983, "eval_steps_per_second": 0.692, "step": 1014 }, { "epoch": 312.92, "eval_accuracy": 0.6888111888111889, "eval_loss": 0.7903538346290588, "eval_runtime": 4.5846, "eval_samples_per_second": 62.383, "eval_steps_per_second": 0.654, "step": 1017 }, { "epoch": 313.85, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7907257080078125, "eval_runtime": 4.136, "eval_samples_per_second": 69.148, "eval_steps_per_second": 0.725, "step": 1020 }, { "epoch": 314.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.790963888168335, "eval_runtime": 4.2526, "eval_samples_per_second": 67.252, "eval_steps_per_second": 0.705, "step": 1023 }, { "epoch": 316.0, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7912085056304932, "eval_runtime": 4.1188, "eval_samples_per_second": 69.437, "eval_steps_per_second": 0.728, "step": 1027 }, { "epoch": 316.92, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7911705374717712, "eval_runtime": 4.1524, "eval_samples_per_second": 68.876, "eval_steps_per_second": 0.722, "step": 1030 }, { "epoch": 317.85, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7911967039108276, "eval_runtime": 3.9058, "eval_samples_per_second": 73.225, "eval_steps_per_second": 0.768, "step": 1033 }, { "epoch": 318.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7912610173225403, "eval_runtime": 4.6095, "eval_samples_per_second": 62.046, "eval_steps_per_second": 0.651, "step": 1036 }, { "epoch": 320.0, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7912730574607849, "eval_runtime": 5.5705, "eval_samples_per_second": 51.342, "eval_steps_per_second": 0.539, "step": 1040 }, { "epoch": 320.92, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7911974787712097, "eval_runtime": 4.9154, "eval_samples_per_second": 58.185, "eval_steps_per_second": 0.61, "step": 1043 }, { "epoch": 321.85, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7911575436592102, "eval_runtime": 4.8387, "eval_samples_per_second": 59.107, "eval_steps_per_second": 0.62, "step": 1046 }, { "epoch": 322.77, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7911355495452881, "eval_runtime": 4.1368, "eval_samples_per_second": 69.135, "eval_steps_per_second": 0.725, "step": 1049 }, { "epoch": 323.08, "grad_norm": 53824.44140625, "learning_rate": 0.0, "loss": 0.5194, "step": 1050 }, { "epoch": 323.08, "eval_accuracy": 0.6923076923076923, "eval_loss": 0.7911302447319031, "eval_runtime": 4.2304, "eval_samples_per_second": 67.606, "eval_steps_per_second": 0.709, "step": 1050 }, { "epoch": 323.08, "step": 1050, "total_flos": 4.380490432252032e+18, "train_loss": 0.8143934268043155, "train_runtime": 4784.9132, "train_samples_per_second": 113.231, "train_steps_per_second": 0.219 } ], "logging_steps": 50, "max_steps": 1050, "num_input_tokens_seen": 0, "num_train_epochs": 350, "save_steps": 500, "total_flos": 4.380490432252032e+18, "train_batch_size": 128, "trial_name": null, "trial_params": null }