{ "best_metric": 0.7984344422700587, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-18/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": 1.9128750562667847, "learning_rate": 0.000468107445983249, "loss": 0.5305, "step": 192 }, { "epoch": 1.0, "eval_accuracy": 0.7847358121330724, "eval_f1": 0.7920604914933836, "eval_loss": 0.45163166522979736, "eval_mcc": 0.5708901120719992, "eval_precision": 0.7659963436928702, "eval_recall": 0.8199608610567515, "eval_runtime": 67.0893, "eval_samples_per_second": 15.233, "eval_steps_per_second": 0.477, "step": 192 }, { "epoch": 2.0, "grad_norm": 5.839444160461426, "learning_rate": 0.00035108058448743673, "loss": 0.4711, "step": 384 }, { "epoch": 2.0, "eval_accuracy": 0.7984344422700587, "eval_f1": 0.7944111776447106, "eval_loss": 0.43096378445625305, "eval_mcc": 0.5973265692911504, "eval_precision": 0.8105906313645621, "eval_recall": 0.7788649706457925, "eval_runtime": 66.944, "eval_samples_per_second": 15.266, "eval_steps_per_second": 0.478, "step": 384 } ], "logging_steps": 500, "max_steps": 960, "num_input_tokens_seen": 0, "num_train_epochs": 5, "save_steps": 500, "total_flos": 471390394560.0, "train_batch_size": 16, "trial_name": null, "trial_params": { "alpha": 0.8570009057234442, "learning_rate": 0.0005851343074790613, "num_train_epochs": 5, "per_device_train_batch_size": 16, "temperature": 44 } }