{ "best_metric": 0.7720156555772995, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-45/checkpoint-48", "epoch": 1.0, "eval_steps": 500, "global_step": 48, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 1.3949310779571533, "learning_rate": 0.00022027725031338867, "loss": 0.5631, "step": 48 }, { "epoch": 1.0, "eval_accuracy": 0.7720156555772995, "eval_f1": 0.8030431107354185, "eval_loss": 0.479625940322876, "eval_precision": 0.7068452380952381, "eval_recall": 0.9295499021526419, "eval_runtime": 27.6002, "eval_samples_per_second": 37.029, "eval_steps_per_second": 0.58, "step": 48 } ], "logging_steps": 500, "max_steps": 144, "num_input_tokens_seen": 0, "num_train_epochs": 3, "save_steps": 500, "total_flos": 235695197280.0, "train_batch_size": 64, "trial_name": null, "trial_params": { "alpha": 0.884370048332683, "learning_rate": 0.000330415875470083, "num_train_epochs": 3, "temperature": 30 } }