|
{ |
|
"best_metric": 2.5536394119262695, |
|
"best_model_checkpoint": "shawgpt-ft/checkpoint-13", |
|
"epoch": 4.0, |
|
"eval_steps": 500, |
|
"global_step": 13, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.9230769230769231, |
|
"grad_norm": 2.1487667560577393, |
|
"learning_rate": 0.00019285714285714286, |
|
"loss": 4.5923, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.9230769230769231, |
|
"eval_loss": 3.957515239715576, |
|
"eval_runtime": 5.3861, |
|
"eval_samples_per_second": 1.671, |
|
"eval_steps_per_second": 0.557, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 1.8461538461538463, |
|
"grad_norm": 2.26593279838562, |
|
"learning_rate": 0.00017142857142857143, |
|
"loss": 4.0416, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 1.8461538461538463, |
|
"eval_loss": 3.429060697555542, |
|
"eval_runtime": 5.4348, |
|
"eval_samples_per_second": 1.656, |
|
"eval_steps_per_second": 0.552, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 2.769230769230769, |
|
"grad_norm": 2.352947950363159, |
|
"learning_rate": 0.00015000000000000001, |
|
"loss": 3.4652, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 2.769230769230769, |
|
"eval_loss": 2.976196527481079, |
|
"eval_runtime": 5.4009, |
|
"eval_samples_per_second": 1.666, |
|
"eval_steps_per_second": 0.555, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 2.3249692916870117, |
|
"learning_rate": 0.00012142857142857143, |
|
"loss": 2.2554, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_loss": 2.5536394119262695, |
|
"eval_runtime": 5.4046, |
|
"eval_samples_per_second": 1.665, |
|
"eval_steps_per_second": 0.555, |
|
"step": 13 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 30, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 43039318818816.0, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|