| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.0, | |
| "eval_steps": 500, | |
| "global_step": 250, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 83.9439697265625, | |
| "learning_rate": 4.555555555555556e-05, | |
| "loss": 3.2962, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 82.1087417602539, | |
| "learning_rate": 3.466666666666667e-05, | |
| "loss": 2.6118, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 1.2, | |
| "grad_norm": 99.78679656982422, | |
| "learning_rate": 2.3555555555555556e-05, | |
| "loss": 2.4529, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 1.6, | |
| "grad_norm": 94.11151885986328, | |
| "learning_rate": 1.2444444444444445e-05, | |
| "loss": 2.1187, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "grad_norm": 85.35782623291016, | |
| "learning_rate": 1.3333333333333334e-06, | |
| "loss": 2.0534, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 2.0, | |
| "step": 250, | |
| "total_flos": 9.4894217943552e+17, | |
| "train_loss": 2.5065918884277343, | |
| "train_runtime": 246.2795, | |
| "train_samples_per_second": 8.064, | |
| "train_steps_per_second": 1.015 | |
| } | |
| ], | |
| "logging_steps": 50, | |
| "max_steps": 250, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 2, | |
| "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": 9.4894217943552e+17, | |
| "train_batch_size": 8, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |