| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 2.6666666666666665, | |
| "eval_steps": 500, | |
| "global_step": 18, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.15, | |
| "grad_norm": 1.4186153874302803, | |
| "learning_rate": 1e-05, | |
| "loss": 1.1959, | |
| "step": 1 | |
| }, | |
| { | |
| "epoch": 0.74, | |
| "grad_norm": 2.7709253330133508, | |
| "learning_rate": 1.8314696123025456e-05, | |
| "loss": 1.1778, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.89, | |
| "eval_loss": 1.0390011072158813, | |
| "eval_runtime": 31.8949, | |
| "eval_samples_per_second": 11.475, | |
| "eval_steps_per_second": 0.721, | |
| "step": 6 | |
| }, | |
| { | |
| "epoch": 1.48, | |
| "grad_norm": 0.840647966467128, | |
| "learning_rate": 1e-05, | |
| "loss": 1.0295, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.93, | |
| "eval_loss": 0.8658971190452576, | |
| "eval_runtime": 31.8683, | |
| "eval_samples_per_second": 11.485, | |
| "eval_steps_per_second": 0.722, | |
| "step": 13 | |
| }, | |
| { | |
| "epoch": 2.22, | |
| "grad_norm": 0.685152903494503, | |
| "learning_rate": 1.6853038769745466e-06, | |
| "loss": 0.903, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "eval_loss": 0.8405471444129944, | |
| "eval_runtime": 32.0919, | |
| "eval_samples_per_second": 11.405, | |
| "eval_steps_per_second": 0.717, | |
| "step": 18 | |
| }, | |
| { | |
| "epoch": 2.67, | |
| "step": 18, | |
| "total_flos": 3716488888320.0, | |
| "train_loss": 1.002972490257687, | |
| "train_runtime": 396.6798, | |
| "train_samples_per_second": 3.222, | |
| "train_steps_per_second": 0.045 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 18, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 3, | |
| "save_steps": 500, | |
| "total_flos": 3716488888320.0, | |
| "train_batch_size": 4, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |