|
{ |
|
"best_metric": 0.038046352565288544, |
|
"best_model_checkpoint": "doc-topic-model_eval-03_train-01/checkpoint-14000", |
|
"epoch": 7.396449704142012, |
|
"eval_steps": 1000, |
|
"global_step": 15000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.2465483234714004, |
|
"grad_norm": 0.32817578315734863, |
|
"learning_rate": 1.9950690335305722e-05, |
|
"loss": 0.1659, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.4930966469428008, |
|
"grad_norm": 0.34106990694999695, |
|
"learning_rate": 1.9901380670611442e-05, |
|
"loss": 0.0941, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.4930966469428008, |
|
"eval_accuracy": 0.981439120143997, |
|
"eval_f1": 0.0, |
|
"eval_loss": 0.09035909175872803, |
|
"eval_precision": 0.0, |
|
"eval_recall": 0.0, |
|
"eval_runtime": 12.1739, |
|
"eval_samples_per_second": 666.182, |
|
"eval_steps_per_second": 2.629, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.7396449704142012, |
|
"grad_norm": 0.4004117548465729, |
|
"learning_rate": 1.9852071005917162e-05, |
|
"loss": 0.088, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.9861932938856016, |
|
"grad_norm": 0.37588435411453247, |
|
"learning_rate": 1.980276134122288e-05, |
|
"loss": 0.0787, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.9861932938856016, |
|
"eval_accuracy": 0.981439120143997, |
|
"eval_f1": 0.0, |
|
"eval_loss": 0.07049160450696945, |
|
"eval_precision": 0.0, |
|
"eval_recall": 0.0, |
|
"eval_runtime": 12.1677, |
|
"eval_samples_per_second": 666.518, |
|
"eval_steps_per_second": 2.63, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.232741617357002, |
|
"grad_norm": 0.43946701288223267, |
|
"learning_rate": 1.9753451676528602e-05, |
|
"loss": 0.0696, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.4792899408284024, |
|
"grad_norm": 0.4252438545227051, |
|
"learning_rate": 1.9704142011834322e-05, |
|
"loss": 0.0628, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.4792899408284024, |
|
"eval_accuracy": 0.9822044588063551, |
|
"eval_f1": 0.1170182841068917, |
|
"eval_loss": 0.05713700130581856, |
|
"eval_precision": 0.7402135231316725, |
|
"eval_recall": 0.06353084911423336, |
|
"eval_runtime": 14.6983, |
|
"eval_samples_per_second": 551.763, |
|
"eval_steps_per_second": 2.177, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.725838264299803, |
|
"grad_norm": 0.3535268306732178, |
|
"learning_rate": 1.965483234714004e-05, |
|
"loss": 0.0584, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 1.972386587771203, |
|
"grad_norm": 0.3976692855358124, |
|
"learning_rate": 1.9605522682445763e-05, |
|
"loss": 0.0537, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 1.972386587771203, |
|
"eval_accuracy": 0.9841787490964752, |
|
"eval_f1": 0.3162859067801801, |
|
"eval_loss": 0.05010608583688736, |
|
"eval_precision": 0.7991333952336738, |
|
"eval_recall": 0.19715943799633476, |
|
"eval_runtime": 14.5719, |
|
"eval_samples_per_second": 556.549, |
|
"eval_steps_per_second": 2.196, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 2.2189349112426036, |
|
"grad_norm": 0.24940212070941925, |
|
"learning_rate": 1.9556213017751483e-05, |
|
"loss": 0.0499, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 2.465483234714004, |
|
"grad_norm": 0.40094295144081116, |
|
"learning_rate": 1.95069033530572e-05, |
|
"loss": 0.0478, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 2.465483234714004, |
|
"eval_accuracy": 0.9851084938418584, |
|
"eval_f1": 0.42113382182799847, |
|
"eval_loss": 0.046862900257110596, |
|
"eval_precision": 0.7560830860534125, |
|
"eval_recall": 0.2918448381185095, |
|
"eval_runtime": 14.4838, |
|
"eval_samples_per_second": 559.937, |
|
"eval_steps_per_second": 2.209, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 2.712031558185404, |
|
"grad_norm": 0.42049625515937805, |
|
"learning_rate": 1.9457593688362923e-05, |
|
"loss": 0.0463, |
|
"step": 5500 |
|
}, |
|
{ |
|
"epoch": 2.9585798816568047, |
|
"grad_norm": 0.41673073172569275, |
|
"learning_rate": 1.940828402366864e-05, |
|
"loss": 0.0453, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.9585798816568047, |
|
"eval_accuracy": 0.985744858766671, |
|
"eval_f1": 0.4941152801529021, |
|
"eval_loss": 0.044261422008275986, |
|
"eval_precision": 0.7238432066018273, |
|
"eval_recall": 0.3750763591936469, |
|
"eval_runtime": 14.4397, |
|
"eval_samples_per_second": 561.645, |
|
"eval_steps_per_second": 2.216, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 3.2051282051282053, |
|
"grad_norm": 0.3240315914154053, |
|
"learning_rate": 1.935897435897436e-05, |
|
"loss": 0.0424, |
|
"step": 6500 |
|
}, |
|
{ |
|
"epoch": 3.4516765285996054, |
|
"grad_norm": 0.39667147397994995, |
|
"learning_rate": 1.930966469428008e-05, |
|
"loss": 0.0389, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 3.4516765285996054, |
|
"eval_accuracy": 0.9863174454696203, |
|
"eval_f1": 0.5358653846153846, |
|
"eval_loss": 0.04172312840819359, |
|
"eval_precision": 0.7233904465212876, |
|
"eval_recall": 0.42554978619425776, |
|
"eval_runtime": 14.5013, |
|
"eval_samples_per_second": 559.261, |
|
"eval_steps_per_second": 2.207, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 3.698224852071006, |
|
"grad_norm": 0.39966270327568054, |
|
"learning_rate": 1.92603550295858e-05, |
|
"loss": 0.0403, |
|
"step": 7500 |
|
}, |
|
{ |
|
"epoch": 3.9447731755424065, |
|
"grad_norm": 0.42601555585861206, |
|
"learning_rate": 1.921104536489152e-05, |
|
"loss": 0.0393, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 3.9447731755424065, |
|
"eval_accuracy": 0.9861601258556911, |
|
"eval_f1": 0.5412262156448203, |
|
"eval_loss": 0.04098295420408249, |
|
"eval_precision": 0.7033825863963854, |
|
"eval_recall": 0.4398289554062309, |
|
"eval_runtime": 14.4597, |
|
"eval_samples_per_second": 560.87, |
|
"eval_steps_per_second": 2.213, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 4.191321499013807, |
|
"grad_norm": 0.41485270857810974, |
|
"learning_rate": 1.916173570019724e-05, |
|
"loss": 0.0361, |
|
"step": 8500 |
|
}, |
|
{ |
|
"epoch": 4.437869822485207, |
|
"grad_norm": 0.4282112717628479, |
|
"learning_rate": 1.911242603550296e-05, |
|
"loss": 0.0349, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 4.437869822485207, |
|
"eval_accuracy": 0.9867851524299502, |
|
"eval_f1": 0.5692506698697218, |
|
"eval_loss": 0.03965826332569122, |
|
"eval_precision": 0.7205847953216374, |
|
"eval_recall": 0.4704489920586439, |
|
"eval_runtime": 14.5109, |
|
"eval_samples_per_second": 558.891, |
|
"eval_steps_per_second": 2.205, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 4.684418145956608, |
|
"grad_norm": 0.5737874507904053, |
|
"learning_rate": 1.906311637080868e-05, |
|
"loss": 0.0358, |
|
"step": 9500 |
|
}, |
|
{ |
|
"epoch": 4.930966469428008, |
|
"grad_norm": 0.42196542024612427, |
|
"learning_rate": 1.90138067061144e-05, |
|
"loss": 0.0344, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 4.930966469428008, |
|
"eval_accuracy": 0.9869849908584548, |
|
"eval_f1": 0.5743684820393975, |
|
"eval_loss": 0.03886643052101135, |
|
"eval_precision": 0.730746550300743, |
|
"eval_recall": 0.4731215638362859, |
|
"eval_runtime": 14.4599, |
|
"eval_samples_per_second": 560.863, |
|
"eval_steps_per_second": 2.213, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 5.177514792899408, |
|
"grad_norm": 0.2073846012353897, |
|
"learning_rate": 1.896459566074951e-05, |
|
"loss": 0.0315, |
|
"step": 10500 |
|
}, |
|
{ |
|
"epoch": 5.424063116370808, |
|
"grad_norm": 0.3816153109073639, |
|
"learning_rate": 1.891528599605523e-05, |
|
"loss": 0.0302, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 5.424063116370808, |
|
"eval_accuracy": 0.9871692390549485, |
|
"eval_f1": 0.5890790250102129, |
|
"eval_loss": 0.03835758566856384, |
|
"eval_precision": 0.7262451035254617, |
|
"eval_recall": 0.495494807574832, |
|
"eval_runtime": 14.4472, |
|
"eval_samples_per_second": 561.355, |
|
"eval_steps_per_second": 2.215, |
|
"step": 11000 |
|
}, |
|
{ |
|
"epoch": 5.670611439842209, |
|
"grad_norm": 0.4880998730659485, |
|
"learning_rate": 1.886597633136095e-05, |
|
"loss": 0.0321, |
|
"step": 11500 |
|
}, |
|
{ |
|
"epoch": 5.9171597633136095, |
|
"grad_norm": 0.31077542901039124, |
|
"learning_rate": 1.881666666666667e-05, |
|
"loss": 0.0305, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 5.9171597633136095, |
|
"eval_accuracy": 0.9869538103944329, |
|
"eval_f1": 0.5894107676524377, |
|
"eval_loss": 0.03864369913935661, |
|
"eval_precision": 0.7086774643355144, |
|
"eval_recall": 0.504505192425168, |
|
"eval_runtime": 14.4003, |
|
"eval_samples_per_second": 563.181, |
|
"eval_steps_per_second": 2.222, |
|
"step": 12000 |
|
}, |
|
{ |
|
"epoch": 6.16370808678501, |
|
"grad_norm": 0.4404219686985016, |
|
"learning_rate": 1.876735700197239e-05, |
|
"loss": 0.0281, |
|
"step": 12500 |
|
}, |
|
{ |
|
"epoch": 6.410256410256411, |
|
"grad_norm": 0.39860355854034424, |
|
"learning_rate": 1.8718145956607497e-05, |
|
"loss": 0.027, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 6.410256410256411, |
|
"eval_accuracy": 0.9872528593902802, |
|
"eval_f1": 0.5966454390528299, |
|
"eval_loss": 0.03840399533510208, |
|
"eval_precision": 0.7228863290589003, |
|
"eval_recall": 0.5079413561392792, |
|
"eval_runtime": 14.5776, |
|
"eval_samples_per_second": 556.332, |
|
"eval_steps_per_second": 2.195, |
|
"step": 13000 |
|
}, |
|
{ |
|
"epoch": 6.65680473372781, |
|
"grad_norm": 0.3162294924259186, |
|
"learning_rate": 1.8668836291913217e-05, |
|
"loss": 0.0267, |
|
"step": 13500 |
|
}, |
|
{ |
|
"epoch": 6.903353057199211, |
|
"grad_norm": 0.3698256313800812, |
|
"learning_rate": 1.8619526627218937e-05, |
|
"loss": 0.0282, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 6.903353057199211, |
|
"eval_accuracy": 0.9873704947772722, |
|
"eval_f1": 0.6017786119676454, |
|
"eval_loss": 0.038046352565288544, |
|
"eval_precision": 0.7254606184678375, |
|
"eval_recall": 0.5141264508246793, |
|
"eval_runtime": 14.743, |
|
"eval_samples_per_second": 550.092, |
|
"eval_steps_per_second": 2.171, |
|
"step": 14000 |
|
}, |
|
{ |
|
"epoch": 7.149901380670611, |
|
"grad_norm": 0.42440325021743774, |
|
"learning_rate": 1.8570216962524657e-05, |
|
"loss": 0.0252, |
|
"step": 14500 |
|
}, |
|
{ |
|
"epoch": 7.396449704142012, |
|
"grad_norm": 0.5403586626052856, |
|
"learning_rate": 1.8521005917159765e-05, |
|
"loss": 0.0235, |
|
"step": 15000 |
|
}, |
|
{ |
|
"epoch": 7.396449704142012, |
|
"eval_accuracy": 0.987438524880593, |
|
"eval_f1": 0.6184510740884239, |
|
"eval_loss": 0.03824068605899811, |
|
"eval_precision": 0.708872002368499, |
|
"eval_recall": 0.5484880879657911, |
|
"eval_runtime": 14.4874, |
|
"eval_samples_per_second": 559.797, |
|
"eval_steps_per_second": 2.209, |
|
"step": 15000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 202800, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 100, |
|
"save_steps": 1000, |
|
"stateful_callbacks": { |
|
"EarlyStoppingCallback": { |
|
"args": { |
|
"early_stopping_patience": 5, |
|
"early_stopping_threshold": 0.0 |
|
}, |
|
"attributes": { |
|
"early_stopping_patience_counter": 0 |
|
} |
|
}, |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 339302697077952.0, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|