|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 2.9998406882268602, |
|
"global_step": 9414, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.32, |
|
"learning_rate": 2.4875e-05, |
|
"loss": 4.2616, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.32, |
|
"eval_loss": 2.4269070625305176, |
|
"eval_runtime": 59.5268, |
|
"eval_samples_per_second": 10.936, |
|
"eval_steps_per_second": 10.936, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"learning_rate": 4.9850000000000006e-05, |
|
"loss": 1.9451, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.64, |
|
"eval_loss": 1.3068270683288574, |
|
"eval_runtime": 59.0527, |
|
"eval_samples_per_second": 11.024, |
|
"eval_steps_per_second": 11.024, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"learning_rate": 4.329646614513084e-05, |
|
"loss": 1.5082, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.96, |
|
"eval_loss": 1.131048560142517, |
|
"eval_runtime": 59.5847, |
|
"eval_samples_per_second": 10.926, |
|
"eval_steps_per_second": 10.926, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"learning_rate": 3.6559212301052064e-05, |
|
"loss": 1.1402, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 1.27, |
|
"eval_loss": 1.0661729574203491, |
|
"eval_runtime": 59.6476, |
|
"eval_samples_per_second": 10.914, |
|
"eval_steps_per_second": 10.914, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"learning_rate": 2.9815214459131374e-05, |
|
"loss": 1.0806, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 1.59, |
|
"eval_loss": 1.0320521593093872, |
|
"eval_runtime": 59.5322, |
|
"eval_samples_per_second": 10.935, |
|
"eval_steps_per_second": 10.935, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 1.91, |
|
"learning_rate": 2.3071216617210683e-05, |
|
"loss": 1.0331, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 1.91, |
|
"eval_loss": 1.0125774145126343, |
|
"eval_runtime": 58.9824, |
|
"eval_samples_per_second": 11.037, |
|
"eval_steps_per_second": 11.037, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 2.23, |
|
"learning_rate": 1.6327218775289993e-05, |
|
"loss": 0.8337, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 2.23, |
|
"eval_loss": 1.0233821868896484, |
|
"eval_runtime": 59.1959, |
|
"eval_samples_per_second": 10.997, |
|
"eval_steps_per_second": 10.997, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 2.55, |
|
"learning_rate": 9.589964931211222e-06, |
|
"loss": 0.7498, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 2.55, |
|
"eval_loss": 1.0264060497283936, |
|
"eval_runtime": 59.237, |
|
"eval_samples_per_second": 10.99, |
|
"eval_steps_per_second": 10.99, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 2.87, |
|
"learning_rate": 2.852711087132452e-06, |
|
"loss": 0.7291, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 2.87, |
|
"eval_loss": 1.0013467073440552, |
|
"eval_runtime": 59.1148, |
|
"eval_samples_per_second": 11.012, |
|
"eval_steps_per_second": 11.012, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"step": 9414, |
|
"total_flos": 9795205750726656.0, |
|
"train_loss": 1.4433987489647233, |
|
"train_runtime": 7416.9186, |
|
"train_samples_per_second": 2.539, |
|
"train_steps_per_second": 1.269 |
|
} |
|
], |
|
"max_steps": 9414, |
|
"num_train_epochs": 3, |
|
"total_flos": 9795205750726656.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|