{ "best_metric": 0.8140900195694716, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-33/checkpoint-384", "epoch": 2.0, "eval_steps": 500, "global_step": 384, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 2.441394090652466, "learning_rate": 0.00039892736546732013, "loss": 0.5568, "step": 192 }, { "epoch": 1.0, "eval_accuracy": 0.7818003913894325, "eval_f1": 0.8085836909871245, "eval_loss": 0.45964643359184265, "eval_mcc": 0.5870562340513658, "eval_precision": 0.7201834862385321, "eval_recall": 0.9217221135029354, "eval_runtime": 67.0533, "eval_samples_per_second": 15.242, "eval_steps_per_second": 0.477, "step": 192 }, { "epoch": 2.0, "grad_norm": 6.07141637802124, "learning_rate": 0.0002659515769782134, "loss": 0.4779, "step": 384 }, { "epoch": 2.0, "eval_accuracy": 0.8140900195694716, "eval_f1": 0.8227611940298508, "eval_loss": 0.44287753105163574, "eval_mcc": 0.6312089367953639, "eval_precision": 0.786096256684492, "eval_recall": 0.863013698630137, "eval_runtime": 66.4724, "eval_samples_per_second": 15.375, "eval_steps_per_second": 0.481, "step": 384 } ], "logging_steps": 500, "max_steps": 768, "num_input_tokens_seen": 0, "num_train_epochs": 4, "save_steps": 500, "total_flos": 471390394560.0, "train_batch_size": 16, "trial_name": null, "trial_params": { "alpha": 0.9425898264750469, "learning_rate": 0.0005319031539564268, "num_train_epochs": 4, "per_device_train_batch_size": 16, "temperature": 47 } }