| { |
| "best_global_step": null, |
| "best_metric": null, |
| "best_model_checkpoint": null, |
| "epoch": 10.0, |
| "eval_steps": 500, |
| "global_step": 30, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 1.8, |
| "grad_norm": 248.0, |
| "learning_rate": 4.642857142857143e-05, |
| "loss": -0.788601303100586, |
| "step": 5 |
| }, |
| { |
| "epoch": 3.4, |
| "grad_norm": 352.0, |
| "learning_rate": 3.7500000000000003e-05, |
| "loss": -13.932012939453125, |
| "step": 10 |
| }, |
| { |
| "epoch": 5.0, |
| "grad_norm": 332.0, |
| "learning_rate": 2.857142857142857e-05, |
| "loss": -52.475067138671875, |
| "step": 15 |
| }, |
| { |
| "epoch": 6.8, |
| "grad_norm": 166.0, |
| "learning_rate": 1.9642857142857145e-05, |
| "loss": -75.487255859375, |
| "step": 20 |
| }, |
| { |
| "epoch": 8.4, |
| "grad_norm": 115.5, |
| "learning_rate": 1.0714285714285714e-05, |
| "loss": -84.0759033203125, |
| "step": 25 |
| }, |
| { |
| "epoch": 10.0, |
| "grad_norm": 107.0, |
| "learning_rate": 1.7857142857142857e-06, |
| "loss": -86.75762329101562, |
| "step": 30 |
| }, |
| { |
| "epoch": 10.0, |
| "step": 30, |
| "total_flos": 0.0, |
| "train_loss": -52.25274397532145, |
| "train_runtime": 56.1773, |
| "train_samples_per_second": 7.12, |
| "train_steps_per_second": 0.534 |
| } |
| ], |
| "logging_steps": 5, |
| "max_steps": 30, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 10, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": false, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 0.0, |
| "train_batch_size": 8, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
