|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 19641, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 17.44370460510254, |
|
"learning_rate": 1.3333333333333333e-05, |
|
"loss": 0.3365, |
|
"step": 6547 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.9064616511074501, |
|
"eval_loss": 0.23984280228614807, |
|
"eval_runtime": 23.1983, |
|
"eval_samples_per_second": 235.492, |
|
"eval_steps_per_second": 29.442, |
|
"step": 6547 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.31856870651245117, |
|
"learning_rate": 6.666666666666667e-06, |
|
"loss": 0.1938, |
|
"step": 13094 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9108548416620904, |
|
"eval_loss": 0.2898029088973999, |
|
"eval_runtime": 23.2441, |
|
"eval_samples_per_second": 235.027, |
|
"eval_steps_per_second": 29.384, |
|
"step": 13094 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 0.2609856128692627, |
|
"learning_rate": 0.0, |
|
"loss": 0.1171, |
|
"step": 19641 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9132344865458539, |
|
"eval_loss": 0.3919076919555664, |
|
"eval_runtime": 23.2022, |
|
"eval_samples_per_second": 235.452, |
|
"eval_steps_per_second": 29.437, |
|
"step": 19641 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 19641, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 8.267712381471744e+16, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|