| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
| "global_step": 366, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 1.0, | |
| "learning_rate": 3e-05, | |
| "loss": 1.3121, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_exact_match": 69.45447045477982, | |
| "eval_f1": 72.38400325486641, | |
| "eval_runtime": 3.9219, | |
| "eval_samples_per_second": 2472.511, | |
| "eval_steps_per_second": 7.904, | |
| "step": 122 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 3e-05, | |
| "loss": 0.5522, | |
| "step": 244 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_exact_match": 69.85665669794781, | |
| "eval_f1": 72.8585664154011, | |
| "eval_runtime": 3.5475, | |
| "eval_samples_per_second": 2733.459, | |
| "eval_steps_per_second": 8.738, | |
| "step": 244 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 3e-05, | |
| "loss": 0.4868, | |
| "step": 366 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_exact_match": 70.46509229658658, | |
| "eval_f1": 73.408366600223, | |
| "eval_runtime": 3.5301, | |
| "eval_samples_per_second": 2746.956, | |
| "eval_steps_per_second": 8.782, | |
| "step": 366 | |
| } | |
| ], | |
| "max_steps": 1220, | |
| "num_train_epochs": 10, | |
| "total_flos": 43819446829056.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |