{ "best_metric": 0.7428236672524897, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-28/checkpoint-428", "epoch": 2.0, "eval_steps": 500, "global_step": 428, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 5.574616432189941, "learning_rate": 0.00036655879725586745, "loss": 0.5539, "step": 214 }, { "epoch": 1.0, "eval_accuracy": 0.7287639132981839, "eval_f1": 0.43742405832320774, "eval_loss": 0.5075973272323608, "eval_mcc": 0.3328904757496092, "eval_precision": 0.7086614173228346, "eval_recall": 0.3163444639718805, "eval_runtime": 3.1198, "eval_samples_per_second": 547.147, "eval_steps_per_second": 17.309, "step": 214 }, { "epoch": 2.0, "grad_norm": 2.6217339038848877, "learning_rate": 0.00031419325479074356, "loss": 0.498, "step": 428 }, { "epoch": 2.0, "eval_accuracy": 0.7428236672524897, "eval_f1": 0.5364308342133052, "eval_loss": 0.4864349961280823, "eval_mcc": 0.38309619293082, "eval_precision": 0.671957671957672, "eval_recall": 0.44639718804920914, "eval_runtime": 3.1068, "eval_samples_per_second": 549.439, "eval_steps_per_second": 17.381, "step": 428 } ], "logging_steps": 500, "max_steps": 1712, "num_input_tokens_seen": 0, "num_train_epochs": 8, "save_steps": 500, "total_flos": 1049551328880.0, "train_batch_size": 32, "trial_name": null, "trial_params": { "alpha": 0.9057585906996103, "learning_rate": 0.0004189243397209914, "num_train_epochs": 8, "temperature": 28 } }