{ "best_metric": 0.7945205479452054, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-25/checkpoint-192", "epoch": 1.0, "eval_steps": 500, "global_step": 192, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 3.914764881134033, "learning_rate": 7.983594966012216e-05, "loss": 0.5279, "step": 192 }, { "epoch": 1.0, "eval_accuracy": 0.7945205479452054, "eval_f1": 0.8148148148148147, "eval_loss": 0.43646204471588135, "eval_mcc": 0.6037206409101726, "eval_precision": 0.7415730337078652, "eval_recall": 0.9041095890410958, "eval_runtime": 67.0044, "eval_samples_per_second": 15.253, "eval_steps_per_second": 0.478, "step": 192 } ], "logging_steps": 500, "max_steps": 1152, "num_input_tokens_seen": 0, "num_train_epochs": 6, "save_steps": 500, "total_flos": 235695197280.0, "train_batch_size": 16, "trial_name": null, "trial_params": { "alpha": 0.7984848902449955, "learning_rate": 9.580313959214659e-05, "num_train_epochs": 6, "per_device_train_batch_size": 16, "temperature": 43 } }