{ "best_metric": 0.7954990215264188, "best_model_checkpoint": "tiny-bert-sst2-distilled/run-12/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": 0.9969735741615295, "learning_rate": 0.0003519988357465585, "loss": 0.4838, "step": 192 }, { "epoch": 1.0, "eval_accuracy": 0.7915851272015656, "eval_f1": 0.8149435273675064, "eval_loss": 0.4351368844509125, "eval_mcc": 0.6026908465743466, "eval_precision": 0.7328125, "eval_recall": 0.9178082191780822, "eval_runtime": 66.7179, "eval_samples_per_second": 15.318, "eval_steps_per_second": 0.48, "step": 192 }, { "epoch": 2.0, "grad_norm": 9.071135520935059, "learning_rate": 0.0002933323631221321, "loss": 0.435, "step": 384 }, { "epoch": 2.0, "eval_accuracy": 0.7954990215264188, "eval_f1": 0.7956989247311829, "eval_loss": 0.42000794410705566, "eval_mcc": 0.5909991747116098, "eval_precision": 0.794921875, "eval_recall": 0.7964774951076321, "eval_runtime": 66.4436, "eval_samples_per_second": 15.381, "eval_steps_per_second": 0.482, "step": 384 } ], "logging_steps": 500, "max_steps": 1344, "num_input_tokens_seen": 0, "num_train_epochs": 7, "save_steps": 500, "total_flos": 471390394560.0, "train_batch_size": 16, "trial_name": null, "trial_params": { "alpha": 0.7654129557516562, "learning_rate": 0.00041066530837098494, "num_train_epochs": 7, "per_device_train_batch_size": 16, "temperature": 40 } }