|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 2.680965147453083, |
|
"eval_steps": 500, |
|
"global_step": 2000, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.6702412868632708, |
|
"grad_norm": 1.8121609687805176, |
|
"learning_rate": 4.400558387583305e-05, |
|
"loss": 0.6264, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5072075128555298, |
|
"eval_loss": 0.6931472420692444, |
|
"eval_runtime": 9.1548, |
|
"eval_samples_per_second": 325.839, |
|
"eval_steps_per_second": 20.426, |
|
"step": 746 |
|
}, |
|
{ |
|
"epoch": 1.3404825737265416, |
|
"grad_norm": 1.8386740684509277, |
|
"learning_rate": 4.0844263195097915e-05, |
|
"loss": 0.7039, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.49882668256759644, |
|
"eval_loss": 0.6931472420692444, |
|
"eval_runtime": 9.1028, |
|
"eval_samples_per_second": 327.702, |
|
"eval_steps_per_second": 20.543, |
|
"step": 1492 |
|
}, |
|
{ |
|
"epoch": 2.0107238605898123, |
|
"grad_norm": 1.775593876838684, |
|
"learning_rate": 3.768294251436278e-05, |
|
"loss": 0.7008, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 2.680965147453083, |
|
"grad_norm": 1.6979082822799683, |
|
"learning_rate": 3.452162183362765e-05, |
|
"loss": 0.7034, |
|
"step": 2000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 7460, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"total_flos": 5210880251877900.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 4.716690455656818e-05, |
|
"per_device_train_batch_size": 16 |
|
} |
|
} |
|
|