{ "best_metric": 0.73, "best_model_checkpoint": "Bert_tinybert-distilled/run-4/checkpoint-172", "epoch": 1.0, "eval_steps": 500, "global_step": 172, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 1.065812110900879, "learning_rate": 8.050072712118835e-05, "loss": 0.5092, "step": 172 }, { "epoch": 1.0, "eval_AUC": 0.8145119999999999, "eval_BAC": 0.73, "eval_MCC": 0.4608302423279951, "eval_PR_AUC": 0.7678112276484446, "eval_accuracy": 0.73, "eval_loss": 0.4519721269607544, "eval_runtime": 6.3105, "eval_samples_per_second": 237.697, "eval_steps_per_second": 7.448, "step": 172 } ], "logging_steps": 500, "max_steps": 1376, "num_input_tokens_seen": 0, "num_train_epochs": 8, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 450377730000.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.7709874476999774, "learning_rate": 9.200083099564382e-05, "num_train_epochs": 8, "temperature": 3 } }