{ "best_metric": 0.6848271821909784, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-20/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": 3.5011236667633057, "learning_rate": 0.00029874954647137283, "loss": 0.4553, "step": 214 }, { "epoch": 1.0, "eval_accuracy": 0.6848271821909784, "eval_f1": 0.1567398119122257, "eval_loss": 0.4299508333206177, "eval_mcc": 0.17036819686661997, "eval_precision": 0.7246376811594203, "eval_recall": 0.08787346221441125, "eval_runtime": 3.1578, "eval_samples_per_second": 540.559, "eval_steps_per_second": 17.1, "step": 214 } ], "logging_steps": 500, "max_steps": 1498, "num_input_tokens_seen": 0, "num_train_epochs": 7, "save_steps": 500, "total_flos": 524775664440.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.7240883100721838, "learning_rate": 0.000348541137549935, "num_train_epochs": 7, "temperature": 12 } }