| { | |
| "best_metric": 0.03921710327267647, | |
| "best_model_checkpoint": "doc-topic-model_eval-01_train-03/checkpoint-9000", | |
| "epoch": 4.437869822485207, | |
| "eval_steps": 1000, | |
| "global_step": 9000, | |
| "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": 0.981383845685049, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.08976549655199051, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 12.0327, | |
| "eval_samples_per_second": 673.996, | |
| "eval_steps_per_second": 2.659, | |
| "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": 0.981383845685049, | |
| "eval_f1": 0.0, | |
| "eval_loss": 0.07017117738723755, | |
| "eval_precision": 0.0, | |
| "eval_recall": 0.0, | |
| "eval_runtime": 12.2763, | |
| "eval_samples_per_second": 660.624, | |
| "eval_steps_per_second": 2.607, | |
| "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": 0.9819748572076478, | |
| "eval_f1": 0.06950541410594088, | |
| "eval_loss": 0.05700037255883217, | |
| "eval_precision": 0.8911819887429644, | |
| "eval_recall": 0.03616292348686715, | |
| "eval_runtime": 14.2939, | |
| "eval_samples_per_second": 567.375, | |
| "eval_steps_per_second": 2.239, | |
| "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": 0.9839533993792253, | |
| "eval_f1": 0.2863985881759738, | |
| "eval_loss": 0.049796320497989655, | |
| "eval_precision": 0.8319296960820213, | |
| "eval_recall": 0.17297297297297298, | |
| "eval_runtime": 14.4691, | |
| "eval_samples_per_second": 560.505, | |
| "eval_steps_per_second": 2.212, | |
| "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": 0.9851807758266367, | |
| "eval_f1": 0.4191111111111111, | |
| "eval_loss": 0.04676121473312378, | |
| "eval_precision": 0.7753340184994861, | |
| "eval_recall": 0.2871716787209745, | |
| "eval_runtime": 14.3877, | |
| "eval_samples_per_second": 563.675, | |
| "eval_steps_per_second": 2.224, | |
| "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": 0.9861062686905623, | |
| "eval_f1": 0.4897725498360485, | |
| "eval_loss": 0.04347195476293564, | |
| "eval_precision": 0.774103323461665, | |
| "eval_recall": 0.35820327369623145, | |
| "eval_runtime": 14.2071, | |
| "eval_samples_per_second": 570.842, | |
| "eval_steps_per_second": 2.252, | |
| "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": 0.9860283175305072, | |
| "eval_f1": 0.5278735632183909, | |
| "eval_loss": 0.041799116879701614, | |
| "eval_precision": 0.7115558424790187, | |
| "eval_recall": 0.4195660449181576, | |
| "eval_runtime": 14.3982, | |
| "eval_samples_per_second": 563.265, | |
| "eval_steps_per_second": 2.223, | |
| "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": 0.9865853140014457, | |
| "eval_f1": 0.5588440922861804, | |
| "eval_loss": 0.040071167051792145, | |
| "eval_precision": 0.7205528846153846, | |
| "eval_recall": 0.45641416063951273, | |
| "eval_runtime": 14.3408, | |
| "eval_samples_per_second": 565.521, | |
| "eval_steps_per_second": 2.231, | |
| "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": 0.9868985359354848, | |
| "eval_f1": 0.5774364600475407, | |
| "eval_loss": 0.03921710327267647, | |
| "eval_precision": 0.7225717881249285, | |
| "eval_recall": 0.48085268366958506, | |
| "eval_runtime": 14.341, | |
| "eval_samples_per_second": 565.513, | |
| "eval_steps_per_second": 2.231, | |
| "step": 9000 | |
| } | |
| ], | |
| "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": 202839790060908.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |