{ "best_metric": 0.7259174311926605, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-3/checkpoint-527", "epoch": 1.0, "eval_steps": 500, "global_step": 527, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 4.747544288635254, "learning_rate": 8.421921303617797e-06, "loss": 1.1824, "step": 527 }, { "epoch": 1.0, "eval_accuracy": 0.7259174311926605, "eval_loss": 1.0221459865570068, "eval_runtime": 2.6361, "eval_samples_per_second": 330.793, "eval_steps_per_second": 2.655, "step": 527 } ], "logging_steps": 500, "max_steps": 3162, "num_input_tokens_seen": 0, "num_train_epochs": 6, "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": 8057768762220.0, "train_batch_size": 128, "trial_name": null, "trial_params": { "alpha": 0.8183970243354497, "learning_rate": 1.0106305564341356e-05, "num_train_epochs": 6, "temperature": 4 } }