|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 1.5384615384615383, |
|
"eval_steps": 25, |
|
"global_step": 100, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.38, |
|
"learning_rate": 2.29933110367893e-05, |
|
"loss": 1.9196, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.38, |
|
"eval_loss": 1.4835141897201538, |
|
"eval_runtime": 4.4399, |
|
"eval_samples_per_second": 4.505, |
|
"eval_steps_per_second": 0.676, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"learning_rate": 2.090301003344482e-05, |
|
"loss": 0.9398, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.77, |
|
"eval_loss": 1.353461503982544, |
|
"eval_runtime": 4.4353, |
|
"eval_samples_per_second": 4.509, |
|
"eval_steps_per_second": 0.676, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"learning_rate": 1.8812709030100337e-05, |
|
"loss": 0.7795, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 1.15, |
|
"eval_loss": 1.4102122783660889, |
|
"eval_runtime": 4.4451, |
|
"eval_samples_per_second": 4.499, |
|
"eval_steps_per_second": 0.675, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 1.54, |
|
"learning_rate": 1.6722408026755853e-05, |
|
"loss": 0.6915, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 1.54, |
|
"eval_loss": 1.3842780590057373, |
|
"eval_runtime": 4.44, |
|
"eval_samples_per_second": 4.505, |
|
"eval_steps_per_second": 0.676, |
|
"step": 100 |
|
} |
|
], |
|
"logging_steps": 25, |
|
"max_steps": 300, |
|
"num_train_epochs": 5, |
|
"save_steps": 25, |
|
"total_flos": 552629855846400.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|