| { | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 3.2653061224489797, | |
| "eval_steps": 20, | |
| "global_step": 40, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.82, | |
| "grad_norm": 0.1748005896806717, | |
| "learning_rate": 2.1e-05, | |
| "loss": 4.8309, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "grad_norm": 0.19310609996318817, | |
| "learning_rate": 3.2999999999999996e-05, | |
| "loss": 5.0159, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 1.63, | |
| "eval_loss": NaN, | |
| "eval_runtime": 53.474, | |
| "eval_samples_per_second": 7.237, | |
| "eval_steps_per_second": 0.916, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 2.45, | |
| "grad_norm": NaN, | |
| "learning_rate": 4.2e-05, | |
| "loss": 4.8025, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "grad_norm": NaN, | |
| "learning_rate": 5.399999999999999e-05, | |
| "loss": 4.1014, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 3.27, | |
| "eval_loss": NaN, | |
| "eval_runtime": 53.4777, | |
| "eval_samples_per_second": 7.237, | |
| "eval_steps_per_second": 0.916, | |
| "step": 40 | |
| } | |
| ], | |
| "logging_steps": 10, | |
| "max_steps": 400, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 34, | |
| "save_steps": 20, | |
| "total_flos": 1.0133225920167936e+17, | |
| "train_batch_size": 32, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |