{ "best_metric": 0.7041593438781488, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-23/checkpoint-214", "epoch": 1.0, "eval_steps": 500, "global_step": 214, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 8.174213409423828, "learning_rate": 0.00021193737357349756, "loss": 0.6053, "step": 214 }, { "epoch": 1.0, "eval_accuracy": 0.7041593438781488, "eval_f1": 0.4107351225204201, "eval_loss": 0.5531450510025024, "eval_mcc": 0.2654659366009494, "eval_precision": 0.6111111111111112, "eval_recall": 0.3093145869947276, "eval_runtime": 3.1397, "eval_samples_per_second": 543.682, "eval_steps_per_second": 17.199, "step": 214 } ], "logging_steps": 500, "max_steps": 1926, "num_input_tokens_seen": 0, "num_train_epochs": 9, "save_steps": 500, "total_flos": 524775664440.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.9926400370862213, "learning_rate": 0.00023842954527018476, "num_train_epochs": 9, "temperature": 23 } }