{ "best_global_step": 15, "best_metric": 0.021378077566623688, "best_model_checkpoint": "/teamspace/studios/this_studio/DATN/output/medgemma_finetuned/checkpoint-15", "epoch": 1.072072072072072, "eval_steps": 15, "global_step": 15, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.7207207207207207, "grad_norm": 0.6498702168464661, "learning_rate": 0.00018, "loss": 0.2477, "step": 10 }, { "epoch": 1.072072072072072, "eval_loss": 0.021378077566623688, "eval_runtime": 66.1391, "eval_samples_per_second": 0.242, "eval_steps_per_second": 0.121, "step": 15 } ], "logging_steps": 10, "max_steps": 98, "num_input_tokens_seen": 0, "num_train_epochs": 7, "save_steps": 15, "stateful_callbacks": { "EarlyStoppingCallback": { "args": { "early_stopping_patience": 45, "early_stopping_threshold": 0.0001 }, "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": 2.132084608971725e+16, "train_batch_size": 1, "trial_name": null, "trial_params": null }