{ "best_metric": 0.5, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-5/checkpoint-96", "epoch": 1.0, "eval_steps": 500, "global_step": 96, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 0.3559625446796417, "learning_rate": 1.0630037292458489e-05, "loss": 0.1611, "step": 96 }, { "epoch": 1.0, "eval_accuracy": 0.5, "eval_f1": 0.0, "eval_loss": 0.08401502668857574, "eval_precision": 0.0, "eval_recall": 0.0, "eval_runtime": 29.4435, "eval_samples_per_second": 34.711, "eval_steps_per_second": 1.087, "step": 96 } ], "logging_steps": 500, "max_steps": 576, "num_input_tokens_seen": 0, "num_train_epochs": 6, "save_steps": 500, "total_flos": 235695197280.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.052099509776179165, "learning_rate": 1.2756044750950187e-05, "num_train_epochs": 6, "temperature": 24 } }