|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.044137931034482755, |
|
"eval_steps": 2, |
|
"global_step": 4, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.011034482758620689, |
|
"grad_norm": 2.924062728881836, |
|
"learning_rate": 1e-05, |
|
"loss": 14.0511, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.011034482758620689, |
|
"eval_loss": 13.964393615722656, |
|
"eval_runtime": 161.4911, |
|
"eval_samples_per_second": 0.947, |
|
"eval_steps_per_second": 0.477, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.022068965517241378, |
|
"grad_norm": 2.827735424041748, |
|
"learning_rate": 2e-05, |
|
"loss": 14.0312, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.022068965517241378, |
|
"eval_loss": 13.84832763671875, |
|
"eval_runtime": 4.2428, |
|
"eval_samples_per_second": 36.061, |
|
"eval_steps_per_second": 18.148, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.03310344827586207, |
|
"grad_norm": 2.8996269702911377, |
|
"learning_rate": 3e-05, |
|
"loss": 13.6811, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.044137931034482755, |
|
"grad_norm": 3.0916175842285156, |
|
"learning_rate": 4e-05, |
|
"loss": 14.1368, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.044137931034482755, |
|
"eval_loss": 13.764532089233398, |
|
"eval_runtime": 4.2543, |
|
"eval_samples_per_second": 35.963, |
|
"eval_steps_per_second": 18.099, |
|
"step": 4 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 5, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 2, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 3528837993332736.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|