| { | |
| "best_metric": 0.03706079348921776, | |
| "best_model_checkpoint": "doc-topic-model_eval-04_train-03/checkpoint-11000", | |
| "epoch": 5.9171597633136095, | |
| "eval_steps": 1000, | |
| "global_step": 12000, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.2465483234714004, | |
| "grad_norm": 0.3881610631942749, | |
| "learning_rate": 1.9950690335305722e-05, | |
| "loss": 0.1669, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.4930966469428008, | |
| "grad_norm": 0.3564796447753906, | |
| "learning_rate": 1.9901380670611442e-05, | |
| "loss": 0.0935, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.4930966469428008, | |
| "eval_accuracy": 0.981496987239155, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.08937656879425049, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 12.1325, | |
| "eval_samples_per_second": 668.698, | |
| "eval_steps_per_second": 2.638, | |
| "step": 1000 | |
| }, | |
| { | |
| "epoch": 0.7396449704142012, | |
| "grad_norm": 0.4097365140914917, | |
| "learning_rate": 1.9852071005917162e-05, | |
| "loss": 0.0869, | |
| "step": 1500 | |
| }, | |
| { | |
| "epoch": 0.9861932938856016, | |
| "grad_norm": 0.3858756422996521, | |
| "learning_rate": 1.980276134122288e-05, | |
| "loss": 0.0764, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 0.9861932938856016, | |
| "eval_accuracy": 0.981496987239155, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.06986432522535324, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 12.1072, | |
| "eval_samples_per_second": 670.097, | |
| "eval_steps_per_second": 2.643, | |
| "step": 2000 | |
| }, | |
| { | |
| "epoch": 1.232741617357002, | |
| "grad_norm": 0.3765203356742859, | |
| "learning_rate": 1.9753451676528602e-05, | |
| "loss": 0.068, | |
| "step": 2500 | |
| }, | |
| { | |
| "epoch": 1.4792899408284024, | |
| "grad_norm": 0.3380969762802124, | |
| "learning_rate": 1.9704142011834322e-05, | |
| "loss": 0.0621, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.4792899408284024, | |
| "eval_accuracy": 0.982110448535131, | |
| "eval_f1": 0.07324770642201835, | |
| "eval_loss": 0.05668229982256889, | |
| "eval_precision": 0.8831858407079646, | |
| "eval_recall": 0.03820826952526799, | |
| "eval_runtime": 14.4297, | |
| "eval_samples_per_second": 562.245, | |
| "eval_steps_per_second": 2.218, | |
| "step": 3000 | |
| }, | |
| { | |
| "epoch": 1.725838264299803, | |
| "grad_norm": 0.3490855395793915, | |
| "learning_rate": 1.965483234714004e-05, | |
| "loss": 0.056, | |
| "step": 3500 | |
| }, | |
| { | |
| "epoch": 1.972386587771203, | |
| "grad_norm": 0.4068734347820282, | |
| "learning_rate": 1.9605522682445763e-05, | |
| "loss": 0.0542, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 1.972386587771203, | |
| "eval_accuracy": 0.9840103367519987, | |
| "eval_f1": 0.28812917875614985, | |
| "eval_loss": 0.04953226447105408, | |
| "eval_precision": 0.8174659985683608, | |
| "eval_recall": 0.17488514548238898, | |
| "eval_runtime": 14.3697, | |
| "eval_samples_per_second": 564.59, | |
| "eval_steps_per_second": 2.227, | |
| "step": 4000 | |
| }, | |
| { | |
| "epoch": 2.2189349112426036, | |
| "grad_norm": 0.39391544461250305, | |
| "learning_rate": 1.9556213017751483e-05, | |
| "loss": 0.0488, | |
| "step": 4500 | |
| }, | |
| { | |
| "epoch": 2.465483234714004, | |
| "grad_norm": 0.2698710858821869, | |
| "learning_rate": 1.95069033530572e-05, | |
| "loss": 0.0468, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.465483234714004, | |
| "eval_accuracy": 0.985417189100507, | |
| "eval_f1": 0.4302241904234708, | |
| "eval_loss": 0.046475622802972794, | |
| "eval_precision": 0.7764235764235764, | |
| "eval_recall": 0.2975497702909648, | |
| "eval_runtime": 14.4141, | |
| "eval_samples_per_second": 562.851, | |
| "eval_steps_per_second": 2.22, | |
| "step": 5000 | |
| }, | |
| { | |
| "epoch": 2.712031558185404, | |
| "grad_norm": 0.39123860001564026, | |
| "learning_rate": 1.9457593688362923e-05, | |
| "loss": 0.0456, | |
| "step": 5500 | |
| }, | |
| { | |
| "epoch": 2.9585798816568047, | |
| "grad_norm": 0.4525609016418457, | |
| "learning_rate": 1.940828402366864e-05, | |
| "loss": 0.0441, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 2.9585798816568047, | |
| "eval_accuracy": 0.9861241571991028, | |
| "eval_f1": 0.4928016571724495, | |
| "eval_loss": 0.04332950338721275, | |
| "eval_precision": 0.76128, | |
| "eval_recall": 0.36431852986217456, | |
| "eval_runtime": 14.4207, | |
| "eval_samples_per_second": 562.594, | |
| "eval_steps_per_second": 2.219, | |
| "step": 6000 | |
| }, | |
| { | |
| "epoch": 3.2051282051282053, | |
| "grad_norm": 0.47004055976867676, | |
| "learning_rate": 1.935897435897436e-05, | |
| "loss": 0.0409, | |
| "step": 6500 | |
| }, | |
| { | |
| "epoch": 3.4516765285996054, | |
| "grad_norm": 0.3331545293331146, | |
| "learning_rate": 1.930966469428008e-05, | |
| "loss": 0.0395, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 3.4516765285996054, | |
| "eval_accuracy": 0.9862219143109328, | |
| "eval_f1": 0.5332821423429477, | |
| "eval_loss": 0.04148830473423004, | |
| "eval_precision": 0.7144142985727144, | |
| "eval_recall": 0.4254211332312404, | |
| "eval_runtime": 14.388, | |
| "eval_samples_per_second": 563.873, | |
| "eval_steps_per_second": 2.224, | |
| "step": 7000 | |
| }, | |
| { | |
| "epoch": 3.698224852071006, | |
| "grad_norm": 0.46907347440719604, | |
| "learning_rate": 1.92603550295858e-05, | |
| "loss": 0.0382, | |
| "step": 7500 | |
| }, | |
| { | |
| "epoch": 3.9447731755424065, | |
| "grad_norm": 0.3860171437263489, | |
| "learning_rate": 1.921104536489152e-05, | |
| "loss": 0.0384, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 3.9447731755424065, | |
| "eval_accuracy": 0.9867702041990222, | |
| "eval_f1": 0.5643370346178967, | |
| "eval_loss": 0.039736006408929825, | |
| "eval_precision": 0.7222354908048723, | |
| "eval_recall": 0.463093415007657, | |
| "eval_runtime": 14.4305, | |
| "eval_samples_per_second": 562.213, | |
| "eval_steps_per_second": 2.218, | |
| "step": 8000 | |
| }, | |
| { | |
| "epoch": 4.191321499013807, | |
| "grad_norm": 0.39796024560928345, | |
| "learning_rate": 1.916173570019724e-05, | |
| "loss": 0.0348, | |
| "step": 8500 | |
| }, | |
| { | |
| "epoch": 4.437869822485207, | |
| "grad_norm": 0.3643665313720703, | |
| "learning_rate": 1.911242603550296e-05, | |
| "loss": 0.0343, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 4.437869822485207, | |
| "eval_accuracy": 0.9869855531989953, | |
| "eval_f1": 0.580815916765538, | |
| "eval_loss": 0.03891120105981827, | |
| "eval_precision": 0.7187711768692117, | |
| "eval_recall": 0.4872894333843798, | |
| "eval_runtime": 14.5144, | |
| "eval_samples_per_second": 558.964, | |
| "eval_steps_per_second": 2.205, | |
| "step": 9000 | |
| }, | |
| { | |
| "epoch": 4.684418145956608, | |
| "grad_norm": 0.2764923572540283, | |
| "learning_rate": 1.906311637080868e-05, | |
| "loss": 0.0345, | |
| "step": 9500 | |
| }, | |
| { | |
| "epoch": 4.930966469428008, | |
| "grad_norm": 0.432156503200531, | |
| "learning_rate": 1.90138067061144e-05, | |
| "loss": 0.0337, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 4.930966469428008, | |
| "eval_accuracy": 0.9874672549094613, | |
| "eval_f1": 0.5954449830787524, | |
| "eval_loss": 0.037564631551504135, | |
| "eval_precision": 0.739268680445151, | |
| "eval_recall": 0.498468606431853, | |
| "eval_runtime": 14.3839, | |
| "eval_samples_per_second": 564.034, | |
| "eval_steps_per_second": 2.225, | |
| "step": 10000 | |
| }, | |
| { | |
| "epoch": 5.177514792899408, | |
| "grad_norm": 0.27451589703559875, | |
| "learning_rate": 1.896459566074951e-05, | |
| "loss": 0.0309, | |
| "step": 10500 | |
| }, | |
| { | |
| "epoch": 5.424063116370808, | |
| "grad_norm": 0.49061715602874756, | |
| "learning_rate": 1.891528599605523e-05, | |
| "loss": 0.0305, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 5.424063116370808, | |
| "eval_accuracy": 0.9876188492712845, | |
| "eval_f1": 0.6006489055431157, | |
| "eval_loss": 0.03706079348921776, | |
| "eval_precision": 0.7448713589482036, | |
| "eval_recall": 0.5032159264931088, | |
| "eval_runtime": 14.4233, | |
| "eval_samples_per_second": 562.494, | |
| "eval_steps_per_second": 2.219, | |
| "step": 11000 | |
| }, | |
| { | |
| "epoch": 5.670611439842209, | |
| "grad_norm": 0.42573484778404236, | |
| "learning_rate": 1.886597633136095e-05, | |
| "loss": 0.0299, | |
| "step": 11500 | |
| }, | |
| { | |
| "epoch": 5.9171597633136095, | |
| "grad_norm": 0.4632101058959961, | |
| "learning_rate": 1.881666666666667e-05, | |
| "loss": 0.0295, | |
| "step": 12000 | |
| }, | |
| { | |
| "epoch": 5.9171597633136095, | |
| "eval_accuracy": 0.9875621784818179, | |
| "eval_f1": 0.6106010201818585, | |
| "eval_loss": 0.03748030215501785, | |
| "eval_precision": 0.7256721138639958, | |
| "eval_recall": 0.5270290964777948, | |
| "eval_runtime": 14.3798, | |
| "eval_samples_per_second": 564.195, | |
| "eval_steps_per_second": 2.225, | |
| "step": 12000 | |
| } | |
| ], | |
| "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": 270583826069916.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |