|
{ |
|
"best_metric": 0.45115517656589194, |
|
"best_model_checkpoint": "hw-01-finetuned-cola/run-0/checkpoint-3207", |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 3207, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.47, |
|
"learning_rate": 2.7326435592927605e-06, |
|
"loss": 0.5977, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.94, |
|
"learning_rate": 2.4506370000262214e-06, |
|
"loss": 0.5335, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 0.5340704321861267, |
|
"eval_matthews_correlation": 0.36161681105121063, |
|
"eval_runtime": 0.7405, |
|
"eval_samples_per_second": 1408.534, |
|
"eval_steps_per_second": 89.131, |
|
"step": 1069 |
|
}, |
|
{ |
|
"epoch": 1.4, |
|
"learning_rate": 2.168630440759683e-06, |
|
"loss": 0.4751, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"learning_rate": 1.886623881493144e-06, |
|
"loss": 0.4579, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 0.5136641263961792, |
|
"eval_matthews_correlation": 0.4491534084057902, |
|
"eval_runtime": 0.906, |
|
"eval_samples_per_second": 1151.249, |
|
"eval_steps_per_second": 72.85, |
|
"step": 2138 |
|
}, |
|
{ |
|
"epoch": 2.34, |
|
"learning_rate": 1.6046173222266052e-06, |
|
"loss": 0.4286, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 2.81, |
|
"learning_rate": 1.3226107629600667e-06, |
|
"loss": 0.4101, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_loss": 0.5329485535621643, |
|
"eval_matthews_correlation": 0.45115517656589194, |
|
"eval_runtime": 0.7978, |
|
"eval_samples_per_second": 1307.396, |
|
"eval_steps_per_second": 82.731, |
|
"step": 3207 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 5345, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 112981754784168.0, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 3.014650118559299e-06, |
|
"num_train_epochs": 5, |
|
"per_device_train_batch_size": 8, |
|
"seed": 16 |
|
} |
|
} |
|
|