{ "best_metric": 0.4503476321697235, "best_model_checkpoint": "checkpoints/bert/roberta-base_gpt-4o-2024-05-13_gpt-4o-mini-2024-07-18_20240913_044355/checkpoint-871", "epoch": 5.0, "eval_steps": 500, "global_step": 4355, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "grad_norm": 2.2520592212677, "learning_rate": 1.6000000000000003e-05, "loss": 0.4781, "step": 871 }, { "epoch": 1.0, "eval_accuracy": 0.8025848142164782, "eval_f1": 0.883240970762469, "eval_loss": 0.4503476321697235, "eval_precision": 0.8292070326515967, "eval_recall": 0.9448078495502862, "eval_runtime": 28.9227, "eval_samples_per_second": 107.009, "eval_steps_per_second": 13.38, "step": 871 }, { "epoch": 2.0, "grad_norm": 3.9907314777374268, "learning_rate": 1.2e-05, "loss": 0.4526, "step": 1742 }, { "epoch": 2.0, "eval_accuracy": 0.8048465266558966, "eval_f1": 0.8822152886115444, "eval_loss": 0.453591912984848, "eval_precision": 0.843400447427293, "eval_recall": 0.9247751430907605, "eval_runtime": 28.9179, "eval_samples_per_second": 107.027, "eval_steps_per_second": 13.383, "step": 1742 }, { "epoch": 3.0, "grad_norm": 3.8395891189575195, "learning_rate": 8.000000000000001e-06, "loss": 0.424, "step": 2613 }, { "epoch": 3.0, "eval_accuracy": 0.8051696284329564, "eval_f1": 0.8837478311162522, "eval_loss": 0.4529026448726654, "eval_precision": 0.836191171105436, "eval_recall": 0.9370400654129191, "eval_runtime": 28.9142, "eval_samples_per_second": 107.041, "eval_steps_per_second": 13.384, "step": 2613 }, { "epoch": 4.0, "grad_norm": 11.389909744262695, "learning_rate": 4.000000000000001e-06, "loss": 0.3789, "step": 3484 }, { "epoch": 4.0, "eval_accuracy": 0.802907915993538, "eval_f1": 0.8826471719892266, "eval_loss": 0.49696657061576843, "eval_precision": 0.8335755813953488, "eval_recall": 0.937857726901063, "eval_runtime": 28.9149, "eval_samples_per_second": 107.038, "eval_steps_per_second": 13.384, "step": 3484 }, { "epoch": 5.0, "grad_norm": 11.702038764953613, "learning_rate": 0.0, "loss": 0.3275, "step": 4355 }, { "epoch": 5.0, "eval_accuracy": 0.7945072697899839, "eval_f1": 0.8776923076923077, "eval_loss": 0.558699369430542, "eval_precision": 0.8286129266521424, "eval_recall": 0.9329517579721995, "eval_runtime": 28.913, "eval_samples_per_second": 107.045, "eval_steps_per_second": 13.385, "step": 4355 }, { "epoch": 5.0, "step": 4355, "total_flos": 3.66540011222016e+16, "train_loss": 0.4122221043408259, "train_runtime": 3728.8568, "train_samples_per_second": 37.36, "train_steps_per_second": 1.168 } ], "logging_steps": 500, "max_steps": 4355, "num_input_tokens_seen": 0, "num_train_epochs": 5, "save_steps": 500, "total_flos": 3.66540011222016e+16, "train_batch_size": 32, "trial_name": null, "trial_params": null }