{ "best_metric": 0.512720156555773, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-2/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": 0.3969263434410095, "learning_rate": 3.130245712253287e-05, "loss": 0.081, "step": 96 }, { "epoch": 1.0, "eval_accuracy": 0.512720156555773, "eval_f1": 0.08118081180811808, "eval_loss": 0.03750595450401306, "eval_precision": 0.7096774193548387, "eval_recall": 0.043052837573385516, "eval_runtime": 25.4915, "eval_samples_per_second": 40.092, "eval_steps_per_second": 1.255, "step": 96 } ], "logging_steps": 500, "max_steps": 288, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 500, "total_flos": 235695197280.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.022604047006827055, "learning_rate": 4.6953685683799313e-05, "num_train_epochs": 3, "temperature": 5 } }