|
{ |
|
"best_metric": 0.6102677583694458, |
|
"best_model_checkpoint": "BERT-WMM/run-15/checkpoint-1066", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 1066, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.94, |
|
"grad_norm": 8.692239761352539, |
|
"learning_rate": 1.3731493717417162e-05, |
|
"loss": 0.7076, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7530516431924883, |
|
"eval_loss": 0.6211019158363342, |
|
"eval_runtime": 1.9926, |
|
"eval_samples_per_second": 1068.944, |
|
"eval_steps_per_second": 67.248, |
|
"step": 533 |
|
}, |
|
{ |
|
"epoch": 1.88, |
|
"grad_norm": 11.677574157714844, |
|
"learning_rate": 1.0560248055196108e-05, |
|
"loss": 0.4535, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7680751173708921, |
|
"eval_loss": 0.6102677583694458, |
|
"eval_runtime": 2.2362, |
|
"eval_samples_per_second": 952.498, |
|
"eval_steps_per_second": 59.922, |
|
"step": 1066 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2665, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 348929503378848.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 1.6902739379638215e-05, |
|
"num_train_epochs": 5, |
|
"per_device_train_batch_size": 16, |
|
"weight_decay": 0.019154977870537472 |
|
} |
|
} |
|
|