{ "best_global_step": 200, "best_metric": 0.9943728018757327, "best_model_checkpoint": "/content/drive/MyDrive/model/roberta_model/checkpoint-200", "epoch": 0.18757327080890973, "eval_steps": 200, "global_step": 800, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.00023446658851113716, "grad_norm": 7.900483131408691, "learning_rate": 0.0, "loss": 1.2285, "step": 1 }, { "epoch": 0.023446658851113716, "grad_norm": 2.4035584926605225, "learning_rate": 2.9015240328253227e-06, "loss": 0.9217, "step": 100 }, { "epoch": 0.04689331770222743, "grad_norm": 0.31396016478538513, "learning_rate": 5.832356389214537e-06, "loss": 0.073, "step": 200 }, { "epoch": 0.04689331770222743, "eval_accuracy": 0.9943728018757327, "eval_f1_macro": 0.24929461556548319, "eval_f1_weighted": 0.9915671414895327, "eval_loss": 0.04064385965466499, "eval_runtime": 57.486, "eval_samples_per_second": 148.384, "eval_steps_per_second": 9.289, "step": 200 }, { "epoch": 0.07033997655334115, "grad_norm": 0.14905625581741333, "learning_rate": 8.763188745603752e-06, "loss": 0.0474, "step": 300 }, { "epoch": 0.09378663540445487, "grad_norm": 0.08281561732292175, "learning_rate": 1.1694021101992966e-05, "loss": 0.0334, "step": 400 }, { "epoch": 0.09378663540445487, "eval_accuracy": 0.9943728018757327, "eval_f1_macro": 0.24929461556548319, "eval_f1_weighted": 0.9915671414895327, "eval_loss": 0.04262762889266014, "eval_runtime": 54.8606, "eval_samples_per_second": 155.485, "eval_steps_per_second": 9.734, "step": 400 }, { "epoch": 0.11723329425556858, "grad_norm": 0.04056438058614731, "learning_rate": 1.4624853458382182e-05, "loss": 0.04, "step": 500 }, { "epoch": 0.1406799531066823, "grad_norm": 0.04737967997789383, "learning_rate": 1.7555685814771398e-05, "loss": 0.0502, "step": 600 }, { "epoch": 0.1406799531066823, "eval_accuracy": 0.9943728018757327, "eval_f1_macro": 0.24929461556548319, "eval_f1_weighted": 0.9915671414895327, "eval_loss": 0.04288283362984657, "eval_runtime": 54.7704, "eval_samples_per_second": 155.741, "eval_steps_per_second": 9.75, "step": 600 }, { "epoch": 0.16412661195779601, "grad_norm": 0.14134405553340912, "learning_rate": 2.048651817116061e-05, "loss": 0.0605, "step": 700 }, { "epoch": 0.18757327080890973, "grad_norm": 0.11066514253616333, "learning_rate": 2.3417350527549826e-05, "loss": 0.0325, "step": 800 }, { "epoch": 0.18757327080890973, "eval_accuracy": 0.9943728018757327, "eval_f1_macro": 0.24929461556548319, "eval_f1_weighted": 0.9915671414895327, "eval_loss": 0.04036899656057358, "eval_runtime": 54.8996, "eval_samples_per_second": 155.375, "eval_steps_per_second": 9.727, "step": 800 } ], "logging_steps": 100, "max_steps": 17060, "num_input_tokens_seen": 0, "num_train_epochs": 4, "save_steps": 200, "stateful_callbacks": { "EarlyStoppingCallback": { "args": { "early_stopping_patience": 3, "early_stopping_threshold": 0.001 }, "attributes": { "early_stopping_patience_counter": 3 } }, "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 2525934167654400.0, "train_batch_size": 16, "trial_name": null, "trial_params": null }