{ "best_metric": null, "best_model_checkpoint": null, "epoch": 7.0, "eval_steps": 500, "global_step": 2226, "is_hyper_param_search": true, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 1.0, "eval_accuracy": 0.5793548387096774, "eval_loss": 0.20042110979557037, "eval_runtime": 5.4295, "eval_samples_per_second": 570.955, "eval_steps_per_second": 11.972, "step": 318 }, { "epoch": 1.5723270440251573, "grad_norm": 0.5317145586013794, "learning_rate": 1.550763701707098e-05, "loss": 0.3197, "step": 500 }, { "epoch": 2.0, "eval_accuracy": 0.8148387096774193, "eval_loss": 0.09952177852392197, "eval_runtime": 5.6253, "eval_samples_per_second": 551.079, "eval_steps_per_second": 11.555, "step": 636 }, { "epoch": 3.0, "eval_accuracy": 0.8722580645161291, "eval_loss": 0.06819746643304825, "eval_runtime": 5.4054, "eval_samples_per_second": 573.499, "eval_steps_per_second": 12.025, "step": 954 }, { "epoch": 3.1446540880503147, "grad_norm": 0.45249998569488525, "learning_rate": 1.101527403414196e-05, "loss": 0.1151, "step": 1000 }, { "epoch": 4.0, "eval_accuracy": 0.8938709677419355, "eval_loss": 0.05422666668891907, "eval_runtime": 5.4496, "eval_samples_per_second": 568.852, "eval_steps_per_second": 11.928, "step": 1272 }, { "epoch": 4.716981132075472, "grad_norm": 0.3192004859447479, "learning_rate": 6.522911051212939e-06, "loss": 0.0764, "step": 1500 }, { "epoch": 5.0, "eval_accuracy": 0.9012903225806451, "eval_loss": 0.04611504450440407, "eval_runtime": 5.7511, "eval_samples_per_second": 539.027, "eval_steps_per_second": 11.302, "step": 1590 }, { "epoch": 6.0, "eval_accuracy": 0.9041935483870968, "eval_loss": 0.04200603440403938, "eval_runtime": 5.406, "eval_samples_per_second": 573.439, "eval_steps_per_second": 12.024, "step": 1908 }, { "epoch": 6.289308176100629, "grad_norm": 0.2962014079093933, "learning_rate": 2.0305480682839176e-06, "loss": 0.0629, "step": 2000 } ], "logging_steps": 500, "max_steps": 2226, "num_input_tokens_seen": 0, "num_train_epochs": 7, "save_steps": 500, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 520991326672152.0, "train_batch_size": 48, "trial_name": null, "trial_params": { "alpha": 0.7983650996847113, "num_train_epochs": 7, "temperature": 12 } }