|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 3.0, |
|
"global_step": 5352, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.28, |
|
"learning_rate": 4.53288490284006e-05, |
|
"loss": 5.6622, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.56, |
|
"learning_rate": 4.06576980568012e-05, |
|
"loss": 3.5766, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.84, |
|
"learning_rate": 3.598654708520179e-05, |
|
"loss": 3.2077, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.12, |
|
"learning_rate": 3.131539611360239e-05, |
|
"loss": 3.0311, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.4, |
|
"learning_rate": 2.6644245142002988e-05, |
|
"loss": 2.9493, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.68, |
|
"learning_rate": 2.197309417040359e-05, |
|
"loss": 2.8781, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"learning_rate": 1.7301943198804185e-05, |
|
"loss": 2.8183, |
|
"step": 3500 |
|
}, |
|
{ |
|
"epoch": 2.24, |
|
"learning_rate": 1.2630792227204785e-05, |
|
"loss": 2.7417, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 2.52, |
|
"learning_rate": 7.959641255605381e-06, |
|
"loss": 2.6946, |
|
"step": 4500 |
|
}, |
|
{ |
|
"epoch": 2.8, |
|
"learning_rate": 3.2884902840059795e-06, |
|
"loss": 2.6942, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"step": 5352, |
|
"total_flos": 1.0169775338950656e+16, |
|
"train_loss": 3.188586384726212, |
|
"train_runtime": 2801.2903, |
|
"train_samples_per_second": 3.82, |
|
"train_steps_per_second": 1.911 |
|
} |
|
], |
|
"max_steps": 5352, |
|
"num_train_epochs": 3, |
|
"total_flos": 1.0169775338950656e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|