|
{ |
|
"best_metric": 1.1028813123703003, |
|
"best_model_checkpoint": "outputs/checkpoint-92", |
|
"epoch": 1.9865047233468287, |
|
"eval_steps": 500, |
|
"global_step": 92, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.4318488529014845, |
|
"grad_norm": 0.5924658179283142, |
|
"learning_rate": 4e-05, |
|
"loss": 1.9539, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.863697705802969, |
|
"grad_norm": 0.495579332113266, |
|
"learning_rate": 8e-05, |
|
"loss": 1.8186, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.9932523616734144, |
|
"eval_loss": 1.5013270378112793, |
|
"eval_runtime": 13.4628, |
|
"eval_samples_per_second": 27.632, |
|
"eval_steps_per_second": 3.491, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 1.2955465587044535, |
|
"grad_norm": 0.6942113041877747, |
|
"learning_rate": 0.00012, |
|
"loss": 1.6882, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 1.7273954116059378, |
|
"grad_norm": 0.8643310070037842, |
|
"learning_rate": 0.00016, |
|
"loss": 1.4623, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 1.9865047233468287, |
|
"eval_loss": 1.1028813123703003, |
|
"eval_runtime": 13.4743, |
|
"eval_samples_per_second": 27.608, |
|
"eval_steps_per_second": 3.488, |
|
"step": 92 |
|
} |
|
], |
|
"logging_steps": 20, |
|
"max_steps": 690, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 15, |
|
"save_steps": 500, |
|
"total_flos": 7088772724125696.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|