| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 100.0, | |
| "global_step": 1000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 2.0, | |
| "eval_accuracy": 0.7733118971061094, | |
| "eval_f1": 0.7518500246669956, | |
| "eval_loss": 0.8074839115142822, | |
| "eval_precision": 0.7419668938656281, | |
| "eval_recall": 0.762, | |
| "eval_runtime": 2.1702, | |
| "eval_samples_per_second": 24.883, | |
| "eval_steps_per_second": 0.461, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 4.0, | |
| "eval_accuracy": 0.8378502526412495, | |
| "eval_f1": 0.8489243413101281, | |
| "eval_loss": 0.6263514161109924, | |
| "eval_precision": 0.8217126813289658, | |
| "eval_recall": 0.878, | |
| "eval_runtime": 1.8285, | |
| "eval_samples_per_second": 29.533, | |
| "eval_steps_per_second": 0.547, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 6.0, | |
| "eval_accuracy": 0.8375057418465779, | |
| "eval_f1": 0.8824383164005806, | |
| "eval_loss": 0.5844890475273132, | |
| "eval_precision": 0.8547328959700093, | |
| "eval_recall": 0.912, | |
| "eval_runtime": 1.6994, | |
| "eval_samples_per_second": 31.775, | |
| "eval_steps_per_second": 0.588, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 8.0, | |
| "eval_accuracy": 0.8396876435461644, | |
| "eval_f1": 0.8708251473477405, | |
| "eval_loss": 0.7096832990646362, | |
| "eval_precision": 0.8556949806949807, | |
| "eval_recall": 0.8865, | |
| "eval_runtime": 1.9498, | |
| "eval_samples_per_second": 27.695, | |
| "eval_steps_per_second": 0.513, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 10.0, | |
| "eval_accuracy": 0.8438217730822233, | |
| "eval_f1": 0.8839153959665518, | |
| "eval_loss": 0.7337720394134521, | |
| "eval_precision": 0.8697967086156825, | |
| "eval_recall": 0.8985, | |
| "eval_runtime": 1.6222, | |
| "eval_samples_per_second": 33.289, | |
| "eval_steps_per_second": 0.616, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 12.0, | |
| "eval_accuracy": 0.8494487827285255, | |
| "eval_f1": 0.8967391304347826, | |
| "eval_loss": 0.8648139238357544, | |
| "eval_precision": 0.88623046875, | |
| "eval_recall": 0.9075, | |
| "eval_runtime": 1.6638, | |
| "eval_samples_per_second": 32.455, | |
| "eval_steps_per_second": 0.601, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 14.0, | |
| "eval_accuracy": 0.8330271015158475, | |
| "eval_f1": 0.8940709501364426, | |
| "eval_loss": 0.8960414528846741, | |
| "eval_precision": 0.8872476612506155, | |
| "eval_recall": 0.901, | |
| "eval_runtime": 1.8377, | |
| "eval_samples_per_second": 29.384, | |
| "eval_steps_per_second": 0.544, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 16.0, | |
| "eval_accuracy": 0.8408360128617364, | |
| "eval_f1": 0.897062453715132, | |
| "eval_loss": 0.9291977882385254, | |
| "eval_precision": 0.8859093125304729, | |
| "eval_recall": 0.9085, | |
| "eval_runtime": 2.2856, | |
| "eval_samples_per_second": 23.626, | |
| "eval_steps_per_second": 0.438, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 18.0, | |
| "eval_accuracy": 0.8530087276067984, | |
| "eval_f1": 0.9070520807376028, | |
| "eval_loss": 0.956124484539032, | |
| "eval_precision": 0.9041231992051664, | |
| "eval_recall": 0.91, | |
| "eval_runtime": 2.1004, | |
| "eval_samples_per_second": 25.71, | |
| "eval_steps_per_second": 0.476, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 20.0, | |
| "eval_accuracy": 0.8460036747818098, | |
| "eval_f1": 0.9054455445544554, | |
| "eval_loss": 1.1085299253463745, | |
| "eval_precision": 0.8965686274509804, | |
| "eval_recall": 0.9145, | |
| "eval_runtime": 1.9718, | |
| "eval_samples_per_second": 27.386, | |
| "eval_steps_per_second": 0.507, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 22.0, | |
| "eval_accuracy": 0.8494487827285255, | |
| "eval_f1": 0.9123157631776169, | |
| "eval_loss": 1.1246980428695679, | |
| "eval_precision": 0.9116325511732402, | |
| "eval_recall": 0.913, | |
| "eval_runtime": 2.2938, | |
| "eval_samples_per_second": 23.541, | |
| "eval_steps_per_second": 0.436, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 24.0, | |
| "eval_accuracy": 0.8488745980707395, | |
| "eval_f1": 0.9118450459399057, | |
| "eval_loss": 1.2039830684661865, | |
| "eval_precision": 0.9057720769610261, | |
| "eval_recall": 0.918, | |
| "eval_runtime": 2.3959, | |
| "eval_samples_per_second": 22.539, | |
| "eval_steps_per_second": 0.417, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 26.0, | |
| "eval_accuracy": 0.8449701423977951, | |
| "eval_f1": 0.9141426783479348, | |
| "eval_loss": 1.2313123941421509, | |
| "eval_precision": 0.9152882205513785, | |
| "eval_recall": 0.913, | |
| "eval_runtime": 1.8248, | |
| "eval_samples_per_second": 29.592, | |
| "eval_steps_per_second": 0.548, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 28.0, | |
| "eval_accuracy": 0.8450849793293523, | |
| "eval_f1": 0.9095876800794833, | |
| "eval_loss": 1.2972946166992188, | |
| "eval_precision": 0.903751233958539, | |
| "eval_recall": 0.9155, | |
| "eval_runtime": 2.3256, | |
| "eval_samples_per_second": 23.219, | |
| "eval_steps_per_second": 0.43, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 30.0, | |
| "eval_accuracy": 0.8516306844281121, | |
| "eval_f1": 0.9177467597208374, | |
| "eval_loss": 1.27461838722229, | |
| "eval_precision": 0.9150099403578529, | |
| "eval_recall": 0.9205, | |
| "eval_runtime": 2.085, | |
| "eval_samples_per_second": 25.899, | |
| "eval_steps_per_second": 0.48, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 32.0, | |
| "eval_accuracy": 0.8451998162609095, | |
| "eval_f1": 0.9093167701863354, | |
| "eval_loss": 1.3256772756576538, | |
| "eval_precision": 0.9037037037037037, | |
| "eval_recall": 0.915, | |
| "eval_runtime": 1.6622, | |
| "eval_samples_per_second": 32.487, | |
| "eval_steps_per_second": 0.602, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 34.0, | |
| "eval_accuracy": 0.8609324758842444, | |
| "eval_f1": 0.9068725099601593, | |
| "eval_loss": 1.1881499290466309, | |
| "eval_precision": 0.9032738095238095, | |
| "eval_recall": 0.9105, | |
| "eval_runtime": 1.8765, | |
| "eval_samples_per_second": 28.777, | |
| "eval_steps_per_second": 0.533, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 36.0, | |
| "eval_accuracy": 0.8310748736793753, | |
| "eval_f1": 0.9006986027944112, | |
| "eval_loss": 1.4595391750335693, | |
| "eval_precision": 0.8989043824701195, | |
| "eval_recall": 0.9025, | |
| "eval_runtime": 1.593, | |
| "eval_samples_per_second": 33.898, | |
| "eval_steps_per_second": 0.628, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 38.0, | |
| "eval_accuracy": 0.8542719338539274, | |
| "eval_f1": 0.9134879082523062, | |
| "eval_loss": 1.3311606645584106, | |
| "eval_precision": 0.9109895574341124, | |
| "eval_recall": 0.916, | |
| "eval_runtime": 2.269, | |
| "eval_samples_per_second": 23.799, | |
| "eval_steps_per_second": 0.441, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 40.0, | |
| "eval_accuracy": 0.8555351401010565, | |
| "eval_f1": 0.9195, | |
| "eval_loss": 1.2927559614181519, | |
| "eval_precision": 0.9195, | |
| "eval_recall": 0.9195, | |
| "eval_runtime": 1.8831, | |
| "eval_samples_per_second": 28.676, | |
| "eval_steps_per_second": 0.531, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 42.0, | |
| "eval_accuracy": 0.8598989435002297, | |
| "eval_f1": 0.9248439450686643, | |
| "eval_loss": 1.3193974494934082, | |
| "eval_precision": 0.9236907730673317, | |
| "eval_recall": 0.926, | |
| "eval_runtime": 1.733, | |
| "eval_samples_per_second": 31.16, | |
| "eval_steps_per_second": 0.577, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 44.0, | |
| "eval_accuracy": 0.8456591639871383, | |
| "eval_f1": 0.9162290572643161, | |
| "eval_loss": 1.455527424812317, | |
| "eval_precision": 0.9164582291145573, | |
| "eval_recall": 0.916, | |
| "eval_runtime": 2.5054, | |
| "eval_samples_per_second": 21.554, | |
| "eval_steps_per_second": 0.399, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 46.0, | |
| "eval_accuracy": 0.8541570969223702, | |
| "eval_f1": 0.916729182295574, | |
| "eval_loss": 1.4188611507415771, | |
| "eval_precision": 0.9169584792396198, | |
| "eval_recall": 0.9165, | |
| "eval_runtime": 2.3672, | |
| "eval_samples_per_second": 22.811, | |
| "eval_steps_per_second": 0.422, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 48.0, | |
| "eval_accuracy": 0.8516306844281121, | |
| "eval_f1": 0.9209932279909707, | |
| "eval_loss": 1.462133765220642, | |
| "eval_precision": 0.9240060392551586, | |
| "eval_recall": 0.918, | |
| "eval_runtime": 2.0221, | |
| "eval_samples_per_second": 26.705, | |
| "eval_steps_per_second": 0.495, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "learning_rate": 5e-06, | |
| "loss": 0.1212, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 50.0, | |
| "eval_accuracy": 0.8492191088654111, | |
| "eval_f1": 0.9188919391065635, | |
| "eval_loss": 1.5107489824295044, | |
| "eval_precision": 0.9172894867962132, | |
| "eval_recall": 0.9205, | |
| "eval_runtime": 2.2455, | |
| "eval_samples_per_second": 24.048, | |
| "eval_steps_per_second": 0.445, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 52.0, | |
| "eval_accuracy": 0.8520900321543409, | |
| "eval_f1": 0.9225037257824144, | |
| "eval_loss": 1.3997772932052612, | |
| "eval_precision": 0.9165844027640672, | |
| "eval_recall": 0.9285, | |
| "eval_runtime": 1.6019, | |
| "eval_samples_per_second": 33.711, | |
| "eval_steps_per_second": 0.624, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 54.0, | |
| "eval_accuracy": 0.8531235645383556, | |
| "eval_f1": 0.9185, | |
| "eval_loss": 1.3953099250793457, | |
| "eval_precision": 0.9185, | |
| "eval_recall": 0.9185, | |
| "eval_runtime": 2.4867, | |
| "eval_samples_per_second": 21.715, | |
| "eval_steps_per_second": 0.402, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 56.0, | |
| "eval_accuracy": 0.8493339457969683, | |
| "eval_f1": 0.9165622650964669, | |
| "eval_loss": 1.424229621887207, | |
| "eval_precision": 0.9186338523355098, | |
| "eval_recall": 0.9145, | |
| "eval_runtime": 2.2429, | |
| "eval_samples_per_second": 24.076, | |
| "eval_steps_per_second": 0.446, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 58.0, | |
| "eval_accuracy": 0.8508268259072118, | |
| "eval_f1": 0.9144851657940662, | |
| "eval_loss": 1.4575742483139038, | |
| "eval_precision": 0.9119840875186475, | |
| "eval_recall": 0.917, | |
| "eval_runtime": 1.7215, | |
| "eval_samples_per_second": 31.368, | |
| "eval_steps_per_second": 0.581, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 60.0, | |
| "eval_accuracy": 0.8524345429490124, | |
| "eval_f1": 0.9176001991535974, | |
| "eval_loss": 1.469473123550415, | |
| "eval_precision": 0.9137332672285573, | |
| "eval_recall": 0.9215, | |
| "eval_runtime": 2.1512, | |
| "eval_samples_per_second": 25.102, | |
| "eval_steps_per_second": 0.465, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 62.0, | |
| "eval_accuracy": 0.8517455213596693, | |
| "eval_f1": 0.918474195961107, | |
| "eval_loss": 1.4966249465942383, | |
| "eval_precision": 0.9159622078567876, | |
| "eval_recall": 0.921, | |
| "eval_runtime": 2.0241, | |
| "eval_samples_per_second": 26.678, | |
| "eval_steps_per_second": 0.494, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 64.0, | |
| "eval_accuracy": 0.8484152503445108, | |
| "eval_f1": 0.92, | |
| "eval_loss": 1.5030325651168823, | |
| "eval_precision": 0.92, | |
| "eval_recall": 0.92, | |
| "eval_runtime": 2.1745, | |
| "eval_samples_per_second": 24.834, | |
| "eval_steps_per_second": 0.46, | |
| "step": 640 | |
| }, | |
| { | |
| "epoch": 66.0, | |
| "eval_accuracy": 0.8462333486449242, | |
| "eval_f1": 0.9175591531755916, | |
| "eval_loss": 1.4818426370620728, | |
| "eval_precision": 0.9141439205955335, | |
| "eval_recall": 0.921, | |
| "eval_runtime": 2.068, | |
| "eval_samples_per_second": 26.112, | |
| "eval_steps_per_second": 0.484, | |
| "step": 660 | |
| }, | |
| { | |
| "epoch": 68.0, | |
| "eval_accuracy": 0.8497932935231971, | |
| "eval_f1": 0.9201501877346684, | |
| "eval_loss": 1.4994901418685913, | |
| "eval_precision": 0.9213032581453634, | |
| "eval_recall": 0.919, | |
| "eval_runtime": 1.5887, | |
| "eval_samples_per_second": 33.99, | |
| "eval_steps_per_second": 0.629, | |
| "step": 680 | |
| }, | |
| { | |
| "epoch": 70.0, | |
| "eval_accuracy": 0.8501378043178687, | |
| "eval_f1": 0.9175180662845751, | |
| "eval_loss": 1.52091383934021, | |
| "eval_precision": 0.914555389965226, | |
| "eval_recall": 0.9205, | |
| "eval_runtime": 2.0412, | |
| "eval_samples_per_second": 26.455, | |
| "eval_steps_per_second": 0.49, | |
| "step": 700 | |
| }, | |
| { | |
| "epoch": 72.0, | |
| "eval_accuracy": 0.8465778594395957, | |
| "eval_f1": 0.9170633926334252, | |
| "eval_loss": 1.54710054397583, | |
| "eval_precision": 0.9191361125062782, | |
| "eval_recall": 0.915, | |
| "eval_runtime": 1.9021, | |
| "eval_samples_per_second": 28.39, | |
| "eval_steps_per_second": 0.526, | |
| "step": 720 | |
| }, | |
| { | |
| "epoch": 74.0, | |
| "eval_accuracy": 0.8531235645383556, | |
| "eval_f1": 0.919080919080919, | |
| "eval_loss": 1.5027331113815308, | |
| "eval_precision": 0.9181636726546906, | |
| "eval_recall": 0.92, | |
| "eval_runtime": 2.6669, | |
| "eval_samples_per_second": 20.248, | |
| "eval_steps_per_second": 0.375, | |
| "step": 740 | |
| }, | |
| { | |
| "epoch": 76.0, | |
| "eval_accuracy": 0.8531235645383556, | |
| "eval_f1": 0.9171464330413016, | |
| "eval_loss": 1.5013470649719238, | |
| "eval_precision": 0.9182957393483709, | |
| "eval_recall": 0.916, | |
| "eval_runtime": 2.1913, | |
| "eval_samples_per_second": 24.643, | |
| "eval_steps_per_second": 0.456, | |
| "step": 760 | |
| }, | |
| { | |
| "epoch": 78.0, | |
| "eval_accuracy": 0.8509416628387689, | |
| "eval_f1": 0.9218045112781955, | |
| "eval_loss": 1.5246856212615967, | |
| "eval_precision": 0.9241206030150754, | |
| "eval_recall": 0.9195, | |
| "eval_runtime": 1.7299, | |
| "eval_samples_per_second": 31.215, | |
| "eval_steps_per_second": 0.578, | |
| "step": 780 | |
| }, | |
| { | |
| "epoch": 80.0, | |
| "eval_accuracy": 0.8507119889756546, | |
| "eval_f1": 0.9178286852589641, | |
| "eval_loss": 1.5289556980133057, | |
| "eval_precision": 0.9141865079365079, | |
| "eval_recall": 0.9215, | |
| "eval_runtime": 1.9199, | |
| "eval_samples_per_second": 28.126, | |
| "eval_steps_per_second": 0.521, | |
| "step": 800 | |
| }, | |
| { | |
| "epoch": 82.0, | |
| "eval_accuracy": 0.852779053743684, | |
| "eval_f1": 0.9211576846307385, | |
| "eval_loss": 1.523385763168335, | |
| "eval_precision": 0.9193227091633466, | |
| "eval_recall": 0.923, | |
| "eval_runtime": 1.6928, | |
| "eval_samples_per_second": 31.899, | |
| "eval_steps_per_second": 0.591, | |
| "step": 820 | |
| }, | |
| { | |
| "epoch": 84.0, | |
| "eval_accuracy": 0.8535829122645843, | |
| "eval_f1": 0.9211183225162256, | |
| "eval_loss": 1.5238100290298462, | |
| "eval_precision": 0.919740777666999, | |
| "eval_recall": 0.9225, | |
| "eval_runtime": 1.7587, | |
| "eval_samples_per_second": 30.704, | |
| "eval_steps_per_second": 0.569, | |
| "step": 840 | |
| }, | |
| { | |
| "epoch": 86.0, | |
| "eval_accuracy": 0.8497932935231971, | |
| "eval_f1": 0.9178116412690482, | |
| "eval_loss": 1.52961266040802, | |
| "eval_precision": 0.9171243135297055, | |
| "eval_recall": 0.9185, | |
| "eval_runtime": 2.2872, | |
| "eval_samples_per_second": 23.609, | |
| "eval_steps_per_second": 0.437, | |
| "step": 860 | |
| }, | |
| { | |
| "epoch": 88.0, | |
| "eval_accuracy": 0.8484152503445108, | |
| "eval_f1": 0.9172293073268317, | |
| "eval_loss": 1.5319523811340332, | |
| "eval_precision": 0.9174587293646823, | |
| "eval_recall": 0.917, | |
| "eval_runtime": 1.8758, | |
| "eval_samples_per_second": 28.788, | |
| "eval_steps_per_second": 0.533, | |
| "step": 880 | |
| }, | |
| { | |
| "epoch": 90.0, | |
| "eval_accuracy": 0.8516306844281121, | |
| "eval_f1": 0.9216520650813517, | |
| "eval_loss": 1.5241385698318481, | |
| "eval_precision": 0.9228070175438596, | |
| "eval_recall": 0.9205, | |
| "eval_runtime": 2.319, | |
| "eval_samples_per_second": 23.286, | |
| "eval_steps_per_second": 0.431, | |
| "step": 900 | |
| }, | |
| { | |
| "epoch": 92.0, | |
| "eval_accuracy": 0.8524345429490124, | |
| "eval_f1": 0.922, | |
| "eval_loss": 1.5183860063552856, | |
| "eval_precision": 0.922, | |
| "eval_recall": 0.922, | |
| "eval_runtime": 1.8138, | |
| "eval_samples_per_second": 29.771, | |
| "eval_steps_per_second": 0.551, | |
| "step": 920 | |
| }, | |
| { | |
| "epoch": 94.0, | |
| "eval_accuracy": 0.8526642168121268, | |
| "eval_f1": 0.9215, | |
| "eval_loss": 1.5182560682296753, | |
| "eval_precision": 0.9215, | |
| "eval_recall": 0.9215, | |
| "eval_runtime": 2.1167, | |
| "eval_samples_per_second": 25.511, | |
| "eval_steps_per_second": 0.472, | |
| "step": 940 | |
| }, | |
| { | |
| "epoch": 96.0, | |
| "eval_accuracy": 0.8523197060174552, | |
| "eval_f1": 0.9209999999999999, | |
| "eval_loss": 1.519921898841858, | |
| "eval_precision": 0.921, | |
| "eval_recall": 0.921, | |
| "eval_runtime": 2.4525, | |
| "eval_samples_per_second": 22.018, | |
| "eval_steps_per_second": 0.408, | |
| "step": 960 | |
| }, | |
| { | |
| "epoch": 98.0, | |
| "eval_accuracy": 0.8520900321543409, | |
| "eval_f1": 0.9214607303651825, | |
| "eval_loss": 1.5220308303833008, | |
| "eval_precision": 0.9219219219219219, | |
| "eval_recall": 0.921, | |
| "eval_runtime": 2.2195, | |
| "eval_samples_per_second": 24.33, | |
| "eval_steps_per_second": 0.451, | |
| "step": 980 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "learning_rate": 0.0, | |
| "loss": 0.0007, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "eval_accuracy": 0.8518603582912264, | |
| "eval_f1": 0.9214607303651825, | |
| "eval_loss": 1.5228424072265625, | |
| "eval_precision": 0.9219219219219219, | |
| "eval_recall": 0.921, | |
| "eval_runtime": 2.3676, | |
| "eval_samples_per_second": 22.808, | |
| "eval_steps_per_second": 0.422, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 100.0, | |
| "step": 1000, | |
| "total_flos": 1.4163133547413504e+16, | |
| "train_loss": 0.06096216064691544, | |
| "train_runtime": 422.6711, | |
| "train_samples_per_second": 37.854, | |
| "train_steps_per_second": 2.366 | |
| } | |
| ], | |
| "max_steps": 1000, | |
| "num_train_epochs": 100, | |
| "total_flos": 1.4163133547413504e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |