|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.896, |
|
"eval_steps": 30, |
|
"global_step": 7, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.128, |
|
"grad_norm": 1.6912785768508911, |
|
"learning_rate": 2.5714285714285714e-05, |
|
"loss": 10.2062, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.256, |
|
"grad_norm": 1.6357407569885254, |
|
"learning_rate": 2.1428571428571428e-05, |
|
"loss": 10.1211, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.384, |
|
"grad_norm": 1.9014874696731567, |
|
"learning_rate": 1.7142857142857142e-05, |
|
"loss": 10.1014, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.512, |
|
"grad_norm": 1.8140469789505005, |
|
"learning_rate": 1.2857142857142857e-05, |
|
"loss": 10.0723, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"grad_norm": 1.9242441654205322, |
|
"learning_rate": 8.571428571428571e-06, |
|
"loss": 9.9854, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.768, |
|
"grad_norm": 2.1129188537597656, |
|
"learning_rate": 4.2857142857142855e-06, |
|
"loss": 10.1039, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.896, |
|
"grad_norm": 2.2516403198242188, |
|
"learning_rate": 0.0, |
|
"loss": 10.0753, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.896, |
|
"step": 7, |
|
"total_flos": 59562467227728.0, |
|
"train_loss": 10.095086097717285, |
|
"train_runtime": 284.5172, |
|
"train_samples_per_second": 0.439, |
|
"train_steps_per_second": 0.025 |
|
} |
|
], |
|
"logging_steps": 1.0, |
|
"max_steps": 7, |
|
"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": 59562467227728.0, |
|
"train_batch_size": 1, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|