| { | |
| "best_metric": 0.9743472495313, | |
| "best_model_checkpoint": "models/pos_final_mono_fr/checkpoint-560", | |
| "epoch": 39.94915254237288, | |
| "global_step": 560, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.95, | |
| "eval_accuracy": 0.021484027736620635, | |
| "eval_f1": 0.02014146604497732, | |
| "eval_loss": 3.6696622371673584, | |
| "eval_precision": 0.02098896013750248, | |
| "eval_recall": 0.019359756097560975, | |
| "eval_runtime": 1.991, | |
| "eval_samples_per_second": 833.259, | |
| "eval_steps_per_second": 3.516, | |
| "step": 14 | |
| }, | |
| { | |
| "epoch": 1.95, | |
| "eval_accuracy": 0.051117169442304274, | |
| "eval_f1": 0.049818939975858664, | |
| "eval_loss": 3.6328794956207275, | |
| "eval_precision": 0.051272950211351684, | |
| "eval_recall": 0.048445121951219514, | |
| "eval_runtime": 1.9795, | |
| "eval_samples_per_second": 838.108, | |
| "eval_steps_per_second": 3.536, | |
| "step": 28 | |
| }, | |
| { | |
| "epoch": 2.95, | |
| "eval_accuracy": 0.12674094707520892, | |
| "eval_f1": 0.11132299612354632, | |
| "eval_loss": 3.5738770961761475, | |
| "eval_precision": 0.11422247882986913, | |
| "eval_recall": 0.1085670731707317, | |
| "eval_runtime": 2.9806, | |
| "eval_samples_per_second": 556.603, | |
| "eval_steps_per_second": 2.349, | |
| "step": 42 | |
| }, | |
| { | |
| "epoch": 3.95, | |
| "eval_accuracy": 0.30611035381971197, | |
| "eval_f1": 0.22206610578982539, | |
| "eval_loss": 3.4791259765625, | |
| "eval_precision": 0.2535112084816713, | |
| "eval_recall": 0.1975609756097561, | |
| "eval_runtime": 1.9318, | |
| "eval_samples_per_second": 858.799, | |
| "eval_steps_per_second": 3.624, | |
| "step": 56 | |
| }, | |
| { | |
| "epoch": 4.95, | |
| "eval_accuracy": 0.3788300835654596, | |
| "eval_f1": 0.25393978707978787, | |
| "eval_loss": 3.3377487659454346, | |
| "eval_precision": 0.339298460283471, | |
| "eval_recall": 0.20289634146341465, | |
| "eval_runtime": 1.9526, | |
| "eval_samples_per_second": 849.649, | |
| "eval_steps_per_second": 3.585, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 5.95, | |
| "eval_accuracy": 0.34273691696793696, | |
| "eval_f1": 0.20375216215017516, | |
| "eval_loss": 3.188615560531616, | |
| "eval_precision": 0.3736782170164308, | |
| "eval_recall": 0.1400609756097561, | |
| "eval_runtime": 1.9288, | |
| "eval_samples_per_second": 860.111, | |
| "eval_steps_per_second": 3.629, | |
| "step": 84 | |
| }, | |
| { | |
| "epoch": 6.95, | |
| "eval_accuracy": 0.4599656255556214, | |
| "eval_f1": 0.36921620863712845, | |
| "eval_loss": 3.0504870414733887, | |
| "eval_precision": 0.434243073878628, | |
| "eval_recall": 0.3211280487804878, | |
| "eval_runtime": 1.9835, | |
| "eval_samples_per_second": 836.412, | |
| "eval_steps_per_second": 3.529, | |
| "step": 98 | |
| }, | |
| { | |
| "epoch": 7.95, | |
| "eval_accuracy": 0.5282403840455165, | |
| "eval_f1": 0.4701918608510921, | |
| "eval_loss": 2.8996212482452393, | |
| "eval_precision": 0.5159915488853272, | |
| "eval_recall": 0.431859756097561, | |
| "eval_runtime": 2.2513, | |
| "eval_samples_per_second": 736.924, | |
| "eval_steps_per_second": 3.109, | |
| "step": 112 | |
| }, | |
| { | |
| "epoch": 8.95, | |
| "eval_accuracy": 0.573164226871333, | |
| "eval_f1": 0.5221832422289304, | |
| "eval_loss": 2.748504161834717, | |
| "eval_precision": 0.5617342460944357, | |
| "eval_recall": 0.48783536585365855, | |
| "eval_runtime": 1.9301, | |
| "eval_samples_per_second": 859.535, | |
| "eval_steps_per_second": 3.627, | |
| "step": 126 | |
| }, | |
| { | |
| "epoch": 9.95, | |
| "eval_accuracy": 0.6246369940141053, | |
| "eval_f1": 0.5703931402685649, | |
| "eval_loss": 2.586193084716797, | |
| "eval_precision": 0.6076525336091003, | |
| "eval_recall": 0.5374390243902439, | |
| "eval_runtime": 2.1049, | |
| "eval_samples_per_second": 788.176, | |
| "eval_steps_per_second": 3.326, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 10.95, | |
| "eval_accuracy": 0.6886742132400877, | |
| "eval_f1": 0.6548560582094275, | |
| "eval_loss": 2.420483112335205, | |
| "eval_precision": 0.6804733727810651, | |
| "eval_recall": 0.6310975609756098, | |
| "eval_runtime": 2.1866, | |
| "eval_samples_per_second": 758.715, | |
| "eval_steps_per_second": 3.201, | |
| "step": 154 | |
| }, | |
| { | |
| "epoch": 11.95, | |
| "eval_accuracy": 0.7838854975404492, | |
| "eval_f1": 0.7690782646407386, | |
| "eval_loss": 2.260331869125366, | |
| "eval_precision": 0.7816327173125964, | |
| "eval_recall": 0.7569207317073171, | |
| "eval_runtime": 2.2785, | |
| "eval_samples_per_second": 728.116, | |
| "eval_steps_per_second": 3.072, | |
| "step": 168 | |
| }, | |
| { | |
| "epoch": 12.95, | |
| "eval_accuracy": 0.83701772061874, | |
| "eval_f1": 0.8335373317013463, | |
| "eval_loss": 2.1123812198638916, | |
| "eval_precision": 0.8366093366093366, | |
| "eval_recall": 0.8304878048780487, | |
| "eval_runtime": 2.9322, | |
| "eval_samples_per_second": 565.792, | |
| "eval_steps_per_second": 2.387, | |
| "step": 182 | |
| }, | |
| { | |
| "epoch": 13.95, | |
| "eval_accuracy": 0.8735553843418479, | |
| "eval_f1": 0.8685824105426924, | |
| "eval_loss": 1.9825972318649292, | |
| "eval_precision": 0.8690861363775105, | |
| "eval_recall": 0.8680792682926829, | |
| "eval_runtime": 1.9874, | |
| "eval_samples_per_second": 834.748, | |
| "eval_steps_per_second": 3.522, | |
| "step": 196 | |
| }, | |
| { | |
| "epoch": 14.95, | |
| "eval_accuracy": 0.9239613583832158, | |
| "eval_f1": 0.9204770765335692, | |
| "eval_loss": 1.8721418380737305, | |
| "eval_precision": 0.9209546481108466, | |
| "eval_recall": 0.92, | |
| "eval_runtime": 1.9558, | |
| "eval_samples_per_second": 848.258, | |
| "eval_steps_per_second": 3.579, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 15.95, | |
| "eval_accuracy": 0.9416819771232146, | |
| "eval_f1": 0.9391052511241521, | |
| "eval_loss": 1.7779291868209839, | |
| "eval_precision": 0.9390336838896509, | |
| "eval_recall": 0.9391768292682927, | |
| "eval_runtime": 1.9975, | |
| "eval_samples_per_second": 830.55, | |
| "eval_steps_per_second": 3.504, | |
| "step": 224 | |
| }, | |
| { | |
| "epoch": 16.95, | |
| "eval_accuracy": 0.9466010786463581, | |
| "eval_f1": 0.944723771216138, | |
| "eval_loss": 1.698561429977417, | |
| "eval_precision": 0.9442346348297497, | |
| "eval_recall": 0.9452134146341463, | |
| "eval_runtime": 1.9516, | |
| "eval_samples_per_second": 850.075, | |
| "eval_steps_per_second": 3.587, | |
| "step": 238 | |
| }, | |
| { | |
| "epoch": 17.95, | |
| "eval_accuracy": 0.9486161322823445, | |
| "eval_f1": 0.9471599219892736, | |
| "eval_loss": 1.6294448375701904, | |
| "eval_precision": 0.9466983430799221, | |
| "eval_recall": 0.9476219512195122, | |
| "eval_runtime": 1.9621, | |
| "eval_samples_per_second": 845.505, | |
| "eval_steps_per_second": 3.568, | |
| "step": 252 | |
| }, | |
| { | |
| "epoch": 18.95, | |
| "eval_accuracy": 0.9498607242339833, | |
| "eval_f1": 0.9487042764210301, | |
| "eval_loss": 1.5666829347610474, | |
| "eval_precision": 0.948140929991778, | |
| "eval_recall": 0.9492682926829268, | |
| "eval_runtime": 2.1244, | |
| "eval_samples_per_second": 780.914, | |
| "eval_steps_per_second": 3.295, | |
| "step": 266 | |
| }, | |
| { | |
| "epoch": 19.95, | |
| "eval_accuracy": 0.9523499081372607, | |
| "eval_f1": 0.9514249592542383, | |
| "eval_loss": 1.5073306560516357, | |
| "eval_precision": 0.9506864326808925, | |
| "eval_recall": 0.9521646341463414, | |
| "eval_runtime": 1.9609, | |
| "eval_samples_per_second": 846.058, | |
| "eval_steps_per_second": 3.57, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 20.95, | |
| "eval_accuracy": 0.9551650565993006, | |
| "eval_f1": 0.9544048870405071, | |
| "eval_loss": 1.4499109983444214, | |
| "eval_precision": 0.953780105349694, | |
| "eval_recall": 0.9550304878048781, | |
| "eval_runtime": 2.9847, | |
| "eval_samples_per_second": 555.827, | |
| "eval_steps_per_second": 2.345, | |
| "step": 294 | |
| }, | |
| { | |
| "epoch": 21.95, | |
| "eval_accuracy": 0.9562911159841166, | |
| "eval_f1": 0.9558884029925795, | |
| "eval_loss": 1.3926490545272827, | |
| "eval_precision": 0.9554662036613969, | |
| "eval_recall": 0.9563109756097561, | |
| "eval_runtime": 2.0934, | |
| "eval_samples_per_second": 792.487, | |
| "eval_steps_per_second": 3.344, | |
| "step": 308 | |
| }, | |
| { | |
| "epoch": 22.95, | |
| "eval_accuracy": 0.9612102175072601, | |
| "eval_f1": 0.961168007802975, | |
| "eval_loss": 1.3373351097106934, | |
| "eval_precision": 0.9609336908824964, | |
| "eval_recall": 0.9614024390243903, | |
| "eval_runtime": 2.5845, | |
| "eval_samples_per_second": 641.892, | |
| "eval_steps_per_second": 2.708, | |
| "step": 322 | |
| }, | |
| { | |
| "epoch": 23.95, | |
| "eval_accuracy": 0.9622770106086648, | |
| "eval_f1": 0.9623058515097475, | |
| "eval_loss": 1.2815097570419312, | |
| "eval_precision": 0.962203188343951, | |
| "eval_recall": 0.9624085365853658, | |
| "eval_runtime": 1.9491, | |
| "eval_samples_per_second": 851.178, | |
| "eval_steps_per_second": 3.591, | |
| "step": 336 | |
| }, | |
| { | |
| "epoch": 24.95, | |
| "eval_accuracy": 0.9646180288034137, | |
| "eval_f1": 0.9648307087214354, | |
| "eval_loss": 1.2245593070983887, | |
| "eval_precision": 0.9648748361130591, | |
| "eval_recall": 0.9647865853658537, | |
| "eval_runtime": 2.9881, | |
| "eval_samples_per_second": 555.195, | |
| "eval_steps_per_second": 2.343, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 25.95, | |
| "eval_accuracy": 0.9647661945119421, | |
| "eval_f1": 0.9652270683110508, | |
| "eval_loss": 1.16820228099823, | |
| "eval_precision": 0.9652712138305333, | |
| "eval_recall": 0.9651829268292683, | |
| "eval_runtime": 2.9793, | |
| "eval_samples_per_second": 556.84, | |
| "eval_steps_per_second": 2.35, | |
| "step": 364 | |
| }, | |
| { | |
| "epoch": 26.95, | |
| "eval_accuracy": 0.9660996858886979, | |
| "eval_f1": 0.9654436860068261, | |
| "eval_loss": 1.1113808155059814, | |
| "eval_precision": 0.9649731968810916, | |
| "eval_recall": 0.9659146341463415, | |
| "eval_runtime": 2.0371, | |
| "eval_samples_per_second": 814.377, | |
| "eval_steps_per_second": 3.436, | |
| "step": 378 | |
| }, | |
| { | |
| "epoch": 27.95, | |
| "eval_accuracy": 0.9699223611687311, | |
| "eval_f1": 0.9672198601014949, | |
| "eval_loss": 1.0521485805511475, | |
| "eval_precision": 0.9669398823852037, | |
| "eval_recall": 0.9675, | |
| "eval_runtime": 2.1723, | |
| "eval_samples_per_second": 763.722, | |
| "eval_steps_per_second": 3.222, | |
| "step": 392 | |
| }, | |
| { | |
| "epoch": 28.95, | |
| "eval_accuracy": 0.9706928228530789, | |
| "eval_f1": 0.9678383074718775, | |
| "eval_loss": 0.9949794411659241, | |
| "eval_precision": 0.9677498018655124, | |
| "eval_recall": 0.9679268292682927, | |
| "eval_runtime": 2.9777, | |
| "eval_samples_per_second": 557.141, | |
| "eval_steps_per_second": 2.351, | |
| "step": 406 | |
| }, | |
| { | |
| "epoch": 29.95, | |
| "eval_accuracy": 0.9716410833876608, | |
| "eval_f1": 0.9688157293095565, | |
| "eval_loss": 0.9363731741905212, | |
| "eval_precision": 0.968668088997257, | |
| "eval_recall": 0.9689634146341464, | |
| "eval_runtime": 2.0063, | |
| "eval_samples_per_second": 826.911, | |
| "eval_steps_per_second": 3.489, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 30.95, | |
| "eval_accuracy": 0.9720559473715403, | |
| "eval_f1": 0.9692110718205097, | |
| "eval_loss": 0.8799633383750916, | |
| "eval_precision": 0.9690929041697147, | |
| "eval_recall": 0.969329268292683, | |
| "eval_runtime": 1.9828, | |
| "eval_samples_per_second": 836.683, | |
| "eval_steps_per_second": 3.53, | |
| "step": 434 | |
| }, | |
| { | |
| "epoch": 31.95, | |
| "eval_accuracy": 0.9726189770639483, | |
| "eval_f1": 0.9695962936434156, | |
| "eval_loss": 0.8233166337013245, | |
| "eval_precision": 0.9693451564737788, | |
| "eval_recall": 0.9698475609756098, | |
| "eval_runtime": 1.9361, | |
| "eval_samples_per_second": 856.891, | |
| "eval_steps_per_second": 3.616, | |
| "step": 448 | |
| }, | |
| { | |
| "epoch": 32.95, | |
| "eval_accuracy": 0.9733301724648847, | |
| "eval_f1": 0.9703057833602635, | |
| "eval_loss": 0.7679479122161865, | |
| "eval_precision": 0.9702762026705689, | |
| "eval_recall": 0.9703353658536585, | |
| "eval_runtime": 1.9498, | |
| "eval_samples_per_second": 850.85, | |
| "eval_steps_per_second": 3.59, | |
| "step": 462 | |
| }, | |
| { | |
| "epoch": 33.95, | |
| "eval_accuracy": 0.9737450364487643, | |
| "eval_f1": 0.9711132452249204, | |
| "eval_loss": 0.7146441340446472, | |
| "eval_precision": 0.9710984421206671, | |
| "eval_recall": 0.9711280487804878, | |
| "eval_runtime": 1.9736, | |
| "eval_samples_per_second": 840.614, | |
| "eval_steps_per_second": 3.547, | |
| "step": 476 | |
| }, | |
| { | |
| "epoch": 34.95, | |
| "eval_accuracy": 0.9749599952586974, | |
| "eval_f1": 0.9722899646384587, | |
| "eval_loss": 0.6641064286231995, | |
| "eval_precision": 0.9721714216044867, | |
| "eval_recall": 0.9724085365853659, | |
| "eval_runtime": 1.9368, | |
| "eval_samples_per_second": 856.569, | |
| "eval_steps_per_second": 3.614, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 35.68, | |
| "learning_rate": 5e-05, | |
| "loss": 2.0937, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 35.95, | |
| "eval_accuracy": 0.9755230249511053, | |
| "eval_f1": 0.9729268292682927, | |
| "eval_loss": 0.6186906099319458, | |
| "eval_precision": 0.9729268292682927, | |
| "eval_recall": 0.9729268292682927, | |
| "eval_runtime": 1.993, | |
| "eval_samples_per_second": 832.399, | |
| "eval_steps_per_second": 3.512, | |
| "step": 504 | |
| }, | |
| { | |
| "epoch": 36.95, | |
| "eval_accuracy": 0.9756119243762224, | |
| "eval_f1": 0.9729490833168234, | |
| "eval_loss": 0.5833659172058105, | |
| "eval_precision": 0.9726970777341012, | |
| "eval_recall": 0.9732012195121951, | |
| "eval_runtime": 2.9665, | |
| "eval_samples_per_second": 559.252, | |
| "eval_steps_per_second": 2.36, | |
| "step": 518 | |
| }, | |
| { | |
| "epoch": 37.95, | |
| "eval_accuracy": 0.9761749540686303, | |
| "eval_f1": 0.9736946383393786, | |
| "eval_loss": 0.5605461597442627, | |
| "eval_precision": 0.97348692631194, | |
| "eval_recall": 0.9739024390243902, | |
| "eval_runtime": 2.0134, | |
| "eval_samples_per_second": 823.972, | |
| "eval_steps_per_second": 3.477, | |
| "step": 532 | |
| }, | |
| { | |
| "epoch": 38.95, | |
| "eval_accuracy": 0.9764712854856872, | |
| "eval_f1": 0.9739244403127238, | |
| "eval_loss": 0.5465701222419739, | |
| "eval_precision": 0.9736721821007405, | |
| "eval_recall": 0.9741768292682926, | |
| "eval_runtime": 2.9641, | |
| "eval_samples_per_second": 559.689, | |
| "eval_steps_per_second": 2.362, | |
| "step": 546 | |
| }, | |
| { | |
| "epoch": 39.95, | |
| "eval_accuracy": 0.9768268831861554, | |
| "eval_f1": 0.9743472495313, | |
| "eval_loss": 0.5415592193603516, | |
| "eval_precision": 0.974243301734386, | |
| "eval_recall": 0.9744512195121952, | |
| "eval_runtime": 1.9918, | |
| "eval_samples_per_second": 832.894, | |
| "eval_steps_per_second": 3.514, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 39.95, | |
| "step": 560, | |
| "total_flos": 3.723450094214784e+16, | |
| "train_loss": 1.9360494545527867, | |
| "train_runtime": 526.0611, | |
| "train_samples_per_second": 1135.077, | |
| "train_steps_per_second": 1.065 | |
| } | |
| ], | |
| "max_steps": 560, | |
| "num_train_epochs": 40, | |
| "total_flos": 3.723450094214784e+16, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |