| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.0, | |
| "global_step": 324, | |
| "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": 1.1736, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "eval_exact_match": 72.18141541331468, | |
| "eval_f1": 75.71603809790038, | |
| "eval_runtime": 3.5116, | |
| "eval_samples_per_second": 2442.455, | |
| "eval_steps_per_second": 7.689, | |
| "step": 108 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "learning_rate": 3e-05, | |
| "loss": 0.4685, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "eval_exact_match": 71.81998367727644, | |
| "eval_f1": 75.98313809352322, | |
| "eval_runtime": 3.055, | |
| "eval_samples_per_second": 2807.539, | |
| "eval_steps_per_second": 8.838, | |
| "step": 216 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "learning_rate": 3e-05, | |
| "loss": 0.4254, | |
| "step": 324 | |
| }, | |
| { | |
| "epoch": 3.0, | |
| "eval_exact_match": 72.50786988457503, | |
| "eval_f1": 76.0290331485552, | |
| "eval_runtime": 3.0504, | |
| "eval_samples_per_second": 2811.797, | |
| "eval_steps_per_second": 8.851, | |
| "step": 324 | |
| } | |
| ], | |
| "max_steps": 1080, | |
| "num_train_epochs": 10, | |
| "total_flos": 38745933873152.0, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |