|
{ |
|
"best_metric": 1.9435697793960571, |
|
"best_model_checkpoint": "output/little-big/checkpoint-38", |
|
"epoch": 2.0, |
|
"global_step": 38, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.26, |
|
"learning_rate": 0.00011506151581352585, |
|
"loss": 1.9259, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.53, |
|
"learning_rate": 6.293505690059801e-05, |
|
"loss": 2.0874, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.79, |
|
"learning_rate": 1.4464961055407408e-05, |
|
"loss": 1.9273, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_loss": 1.967223048210144, |
|
"eval_runtime": 1.1752, |
|
"eval_samples_per_second": 21.274, |
|
"eval_steps_per_second": 3.404, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 1.05, |
|
"learning_rate": 9.35614586573241e-07, |
|
"loss": 1.9037, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 1.32, |
|
"learning_rate": 3.1079356352801514e-05, |
|
"loss": 1.7917, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 1.58, |
|
"learning_rate": 8.54403044178588e-05, |
|
"loss": 1.6825, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 1.84, |
|
"learning_rate": 0.00012893189933276512, |
|
"loss": 1.6975, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_loss": 1.9435697793960571, |
|
"eval_runtime": 1.1861, |
|
"eval_samples_per_second": 21.078, |
|
"eval_steps_per_second": 3.373, |
|
"step": 38 |
|
} |
|
], |
|
"max_steps": 38, |
|
"num_train_epochs": 2, |
|
"total_flos": 39455096832000.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|