|
{ |
|
"best_global_step": null, |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.810126582278481, |
|
"eval_steps": 500, |
|
"global_step": 4, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.20253164556962025, |
|
"grad_norm": 6.9072078083746264, |
|
"learning_rate": 2e-05, |
|
"loss": 0.9126, |
|
"mean_token_accuracy": 0.766769690439105, |
|
"num_tokens": 524288.0, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.4050632911392405, |
|
"grad_norm": 4.753814194553616, |
|
"learning_rate": 1.5000000000000002e-05, |
|
"loss": 0.8217, |
|
"mean_token_accuracy": 0.7695875316858292, |
|
"num_tokens": 1048576.0, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.6075949367088608, |
|
"grad_norm": 78.58612697641571, |
|
"learning_rate": 1e-05, |
|
"loss": 0.7497, |
|
"mean_token_accuracy": 0.7892876267433167, |
|
"num_tokens": 1572864.0, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.810126582278481, |
|
"grad_norm": 3.129716830110077, |
|
"learning_rate": 5e-06, |
|
"loss": 0.7242, |
|
"mean_token_accuracy": 0.7917388044297695, |
|
"num_tokens": 2094002.0, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.810126582278481, |
|
"step": 4, |
|
"total_flos": 4154970079232.0, |
|
"train_loss": 0.8020447641611099, |
|
"train_runtime": 203.4558, |
|
"train_samples_per_second": 3.092, |
|
"train_steps_per_second": 0.02 |
|
} |
|
], |
|
"logging_steps": 1.0, |
|
"max_steps": 4, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": false, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 4154970079232.0, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|