| { | |
| "best_metric": 0.037242207676172256, | |
| "best_model_checkpoint": "doc-topic-model_eval-01_train-00/checkpoint-14000", | |
| "epoch": 8.875739644970414, | |
| "eval_steps": 1000, | |
| "global_step": 18000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.2465483234714004, | |
| "grad_norm": 0.32839319109916687, | |
| "learning_rate": 1.9950690335305722e-05, | |
| "loss": 0.1668, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.4930966469428008, | |
| "grad_norm": 0.4088590443134308, | |
| "learning_rate": 1.9901380670611442e-05, | |
| "loss": 0.0929, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.4930966469428008, | |
| "eval_accuracy": 0.981383845685049, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.0910971537232399, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 12.1172, | |
| "eval_samples_per_second": 669.294, | |
| "eval_steps_per_second": 2.641, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.7396449704142012, | |
| "grad_norm": 0.33391374349594116, | |
| "learning_rate": 1.9852071005917162e-05, | |
| "loss": 0.0874, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.9861932938856016, | |
| "grad_norm": 0.3162483870983124, | |
| "learning_rate": 1.980276134122288e-05, | |
| "loss": 0.0785, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.9861932938856016, | |
| "eval_accuracy": 0.981383845685049, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.07068673521280289, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 12.2907, | |
| "eval_samples_per_second": 659.85, | |
| "eval_steps_per_second": 2.604, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.232741617357002, | |
| "grad_norm": 0.31390729546546936, | |
| "learning_rate": 1.9753451676528602e-05, | |
| "loss": 0.0684, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.4792899408284024, | |
| "grad_norm": 0.40165144205093384, | |
| "learning_rate": 1.9704142011834322e-05, | |
| "loss": 0.0622, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.4792899408284024, | |
| "eval_accuracy": 0.9822611505591224, | |
| "eval_f1": 0.10574449842812232, | |
| "eval_loss": 0.05743462219834328, | |
| "eval_precision": 0.859465737514518, | |
| "eval_recall": 0.056338028169014086, | |
| "eval_runtime": 14.6119, | |
| "eval_samples_per_second": 555.025, | |
| "eval_steps_per_second": 2.19, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.725838264299803, | |
| "grad_norm": 0.4135937988758087, | |
| "learning_rate": 1.965483234714004e-05, | |
| "loss": 0.0584, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.972386587771203, | |
| "grad_norm": 0.324859082698822, | |
| "learning_rate": 1.9605522682445763e-05, | |
| "loss": 0.0542, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.972386587771203, | |
| "eval_accuracy": 0.9842850461329138, | |
| "eval_f1": 0.33960690887433, | |
| "eval_loss": 0.04979131370782852, | |
| "eval_precision": 0.7800273597811217, | |
| "eval_recall": 0.21705367339170156, | |
| "eval_runtime": 14.5784, | |
| "eval_samples_per_second": 556.302, | |
| "eval_steps_per_second": 2.195, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.2189349112426036, | |
| "grad_norm": 0.3279891312122345, | |
| "learning_rate": 1.9556213017751483e-05, | |
| "loss": 0.0488, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 2.465483234714004, | |
| "grad_norm": 0.4424910843372345, | |
| "learning_rate": 1.95069033530572e-05, | |
| "loss": 0.048, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.465483234714004, | |
| "eval_accuracy": 0.985223294641212, | |
| "eval_f1": 0.4251213056903397, | |
| "eval_loss": 0.04605511203408241, | |
| "eval_precision": 0.7708458308338332, | |
| "eval_recall": 0.29349067377236393, | |
| "eval_runtime": 14.4651, | |
| "eval_samples_per_second": 560.659, | |
| "eval_steps_per_second": 2.212, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.712031558185404, | |
| "grad_norm": 0.3125520646572113, | |
| "learning_rate": 1.9457593688362923e-05, | |
| "loss": 0.0453, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 2.9585798816568047, | |
| "grad_norm": 0.4686921536922455, | |
| "learning_rate": 1.940828402366864e-05, | |
| "loss": 0.0436, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.9585798816568047, | |
| "eval_accuracy": 0.9860113100046771, | |
| "eval_f1": 0.5031212243254128, | |
| "eval_loss": 0.04325457662343979, | |
| "eval_precision": 0.7426066280279388, | |
| "eval_recall": 0.3804339550818424, | |
| "eval_runtime": 14.4821, | |
| "eval_samples_per_second": 560.003, | |
| "eval_steps_per_second": 2.21, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 3.2051282051282053, | |
| "grad_norm": 0.3562796711921692, | |
| "learning_rate": 1.935897435897436e-05, | |
| "loss": 0.0412, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 3.4516765285996054, | |
| "grad_norm": 0.24857360124588013, | |
| "learning_rate": 1.930966469428008e-05, | |
| "loss": 0.0384, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 3.4516765285996054, | |
| "eval_accuracy": 0.9864563402639001, | |
| "eval_f1": 0.5389366013702596, | |
| "eval_loss": 0.04127802699804306, | |
| "eval_precision": 0.7357396917402187, | |
| "eval_recall": 0.425199847735059, | |
| "eval_runtime": 14.4965, | |
| "eval_samples_per_second": 559.446, | |
| "eval_steps_per_second": 2.207, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 3.698224852071006, | |
| "grad_norm": 0.47940972447395325, | |
| "learning_rate": 1.92603550295858e-05, | |
| "loss": 0.0394, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 3.9447731755424065, | |
| "grad_norm": 0.39106041193008423, | |
| "learning_rate": 1.921104536489152e-05, | |
| "loss": 0.0385, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 3.9447731755424065, | |
| "eval_accuracy": 0.9867043666822569, | |
| "eval_f1": 0.536168108776267, | |
| "eval_loss": 0.0398826077580452, | |
| "eval_precision": 0.7647390691114245, | |
| "eval_recall": 0.41279025504377614, | |
| "eval_runtime": 14.6187, | |
| "eval_samples_per_second": 554.767, | |
| "eval_steps_per_second": 2.189, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 4.191321499013807, | |
| "grad_norm": 0.4470931887626648, | |
| "learning_rate": 1.916173570019724e-05, | |
| "loss": 0.0342, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 4.437869822485207, | |
| "grad_norm": 0.33709824085235596, | |
| "learning_rate": 1.911242603550296e-05, | |
| "loss": 0.0343, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 4.437869822485207, | |
| "eval_accuracy": 0.986877276528197, | |
| "eval_f1": 0.5599125433718333, | |
| "eval_loss": 0.03963331878185272, | |
| "eval_precision": 0.7451923076923077, | |
| "eval_recall": 0.4484202512371526, | |
| "eval_runtime": 14.6638, | |
| "eval_samples_per_second": 553.061, | |
| "eval_steps_per_second": 2.182, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 4.684418145956608, | |
| "grad_norm": 0.3310143053531647, | |
| "learning_rate": 1.906311637080868e-05, | |
| "loss": 0.0343, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 4.930966469428008, | |
| "grad_norm": 0.5156289935112, | |
| "learning_rate": 1.90138067061144e-05, | |
| "loss": 0.0343, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 4.930966469428008, | |
| "eval_accuracy": 0.9870459344926796, | |
| "eval_f1": 0.5692336695258743, | |
| "eval_loss": 0.038666386157274246, | |
| "eval_precision": 0.7471235927254732, | |
| "eval_recall": 0.4597639893414541, | |
| "eval_runtime": 14.4377, | |
| "eval_samples_per_second": 561.722, | |
| "eval_steps_per_second": 2.216, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 5.177514792899408, | |
| "grad_norm": 0.3030126988887787, | |
| "learning_rate": 1.896459566074951e-05, | |
| "loss": 0.0314, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 5.424063116370808, | |
| "grad_norm": 0.49180835485458374, | |
| "learning_rate": 1.891528599605523e-05, | |
| "loss": 0.0304, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 5.424063116370808, | |
| "eval_accuracy": 0.9872783706790255, | |
| "eval_f1": 0.586054233536248, | |
| "eval_loss": 0.03851797431707382, | |
| "eval_precision": 0.7432448239560182, | |
| "eval_recall": 0.48374571754853446, | |
| "eval_runtime": 14.5078, | |
| "eval_samples_per_second": 559.011, | |
| "eval_steps_per_second": 2.206, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 5.670611439842209, | |
| "grad_norm": 0.4685238003730774, | |
| "learning_rate": 1.886597633136095e-05, | |
| "loss": 0.0297, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 5.9171597633136095, | |
| "grad_norm": 0.46912193298339844, | |
| "learning_rate": 1.881666666666667e-05, | |
| "loss": 0.0299, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 5.9171597633136095, | |
| "eval_accuracy": 0.9875023031024561, | |
| "eval_f1": 0.6054939155332856, | |
| "eval_loss": 0.037345413118600845, | |
| "eval_precision": 0.7341868286861235, | |
| "eval_recall": 0.5151884278644842, | |
| "eval_runtime": 14.7174, | |
| "eval_samples_per_second": 551.047, | |
| "eval_steps_per_second": 2.174, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 6.16370808678501, | |
| "grad_norm": 0.3353117108345032, | |
| "learning_rate": 1.876735700197239e-05, | |
| "loss": 0.0276, | |
| "step": 12500 | |
| }, | |
| { | |
| "epoch": 6.410256410256411, | |
| "grad_norm": 0.2552751898765564, | |
| "learning_rate": 1.8718145956607497e-05, | |
| "loss": 0.0265, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 6.410256410256411, | |
| "eval_accuracy": 0.987298212792494, | |
| "eval_f1": 0.6069298245614035, | |
| "eval_loss": 0.03756754845380783, | |
| "eval_precision": 0.715882048629074, | |
| "eval_recall": 0.5267605633802817, | |
| "eval_runtime": 14.9359, | |
| "eval_samples_per_second": 542.988, | |
| "eval_steps_per_second": 2.142, | |
| "step": 13000 | |
| }, | |
| { | |
| "epoch": 6.65680473372781, | |
| "grad_norm": 0.2560911774635315, | |
| "learning_rate": 1.8668836291913217e-05, | |
| "loss": 0.0273, | |
| "step": 13500 | |
| }, | |
| { | |
| "epoch": 6.903353057199211, | |
| "grad_norm": 0.4542127549648285, | |
| "learning_rate": 1.8619526627218937e-05, | |
| "loss": 0.0261, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 6.903353057199211, | |
| "eval_accuracy": 0.987696472355684, | |
| "eval_f1": 0.6137829781554478, | |
| "eval_loss": 0.037242207676172256, | |
| "eval_precision": 0.7383857846285592, | |
| "eval_recall": 0.5251617814998096, | |
| "eval_runtime": 14.4235, | |
| "eval_samples_per_second": 562.276, | |
| "eval_steps_per_second": 2.219, | |
| "step": 14000 | |
| }, | |
| { | |
| "epoch": 7.149901380670611, | |
| "grad_norm": 0.2716215252876282, | |
| "learning_rate": 1.8570216962524657e-05, | |
| "loss": 0.025, | |
| "step": 14500 | |
| }, | |
| { | |
| "epoch": 7.396449704142012, | |
| "grad_norm": 0.2959195077419281, | |
| "learning_rate": 1.8520907297830377e-05, | |
| "loss": 0.0236, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 7.396449704142012, | |
| "eval_accuracy": 0.9875859234377878, | |
| "eval_f1": 0.6186599329531107, | |
| "eval_loss": 0.037820491939783096, | |
| "eval_precision": 0.7224933902786251, | |
| "eval_recall": 0.5409212028930339, | |
| "eval_runtime": 14.5081, | |
| "eval_samples_per_second": 558.998, | |
| "eval_steps_per_second": 2.206, | |
| "step": 15000 | |
| }, | |
| { | |
| "epoch": 7.642998027613412, | |
| "grad_norm": 0.44261014461517334, | |
| "learning_rate": 1.8471696252465485e-05, | |
| "loss": 0.0225, | |
| "step": 15500 | |
| }, | |
| { | |
| "epoch": 7.889546351084813, | |
| "grad_norm": 0.721012532711029, | |
| "learning_rate": 1.8422386587771205e-05, | |
| "loss": 0.0236, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 7.889546351084813, | |
| "eval_accuracy": 0.9878041866859418, | |
| "eval_f1": 0.6205406358865811, | |
| "eval_loss": 0.03788597509264946, | |
| "eval_precision": 0.7373716202054077, | |
| "eval_recall": 0.5356680624286259, | |
| "eval_runtime": 14.537, | |
| "eval_samples_per_second": 557.887, | |
| "eval_steps_per_second": 2.201, | |
| "step": 16000 | |
| }, | |
| { | |
| "epoch": 8.136094674556213, | |
| "grad_norm": 0.2590983510017395, | |
| "learning_rate": 1.8373076923076926e-05, | |
| "loss": 0.0219, | |
| "step": 16500 | |
| }, | |
| { | |
| "epoch": 8.382642998027613, | |
| "grad_norm": 0.6246200203895569, | |
| "learning_rate": 1.8323767258382646e-05, | |
| "loss": 0.0215, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 8.382642998027613, | |
| "eval_accuracy": 0.9875504910923083, | |
| "eval_f1": 0.6240691603184114, | |
| "eval_loss": 0.03826015442609787, | |
| "eval_precision": 0.7126380607956212, | |
| "eval_recall": 0.5550818424057861, | |
| "eval_runtime": 14.5306, | |
| "eval_samples_per_second": 558.131, | |
| "eval_steps_per_second": 2.202, | |
| "step": 17000 | |
| }, | |
| { | |
| "epoch": 8.629191321499015, | |
| "grad_norm": 0.46473428606987, | |
| "learning_rate": 1.8274457593688362e-05, | |
| "loss": 0.0204, | |
| "step": 17500 | |
| }, | |
| { | |
| "epoch": 8.875739644970414, | |
| "grad_norm": 0.5553109049797058, | |
| "learning_rate": 1.822524654832347e-05, | |
| "loss": 0.0216, | |
| "step": 18000 | |
| }, | |
| { | |
| "epoch": 8.875739644970414, | |
| "eval_accuracy": 0.9876723783607579, | |
| "eval_f1": 0.629683242506812, | |
| "eval_loss": 0.03862897306680679, | |
| "eval_precision": 0.7142857142857143, | |
| "eval_recall": 0.5629996193376475, | |
| "eval_runtime": 14.4315, | |
| "eval_samples_per_second": 561.967, | |
| "eval_steps_per_second": 2.217, | |
| "step": 18000 | |
| } | |
| ], | |
| "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": 407491394665464.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |