{ "best_metric": 0.7906066536203522, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-37/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": 1.4335652589797974, "learning_rate": 0.00020009881549104688, "loss": 0.5163, "step": 96 }, { "epoch": 1.0, "eval_accuracy": 0.7906066536203522, "eval_f1": 0.81195079086116, "eval_loss": 0.4430748522281647, "eval_precision": 0.7368421052631579, "eval_recall": 0.9041095890410958, "eval_runtime": 28.7014, "eval_samples_per_second": 35.608, "eval_steps_per_second": 1.115, "step": 96 } ], "logging_steps": 500, "max_steps": 576, "num_input_tokens_seen": 0, "num_train_epochs": 6, "save_steps": 500, "total_flos": 235695197280.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.7696169083898785, "learning_rate": 0.00024011857858925625, "num_train_epochs": 6, "temperature": 22 } }