|
{ |
|
"best_metric": 1.127414345741272, |
|
"best_model_checkpoint": "/kaggle/output/checkpoint-3000", |
|
"epoch": 0.12222946544980444, |
|
"eval_steps": 1000, |
|
"global_step": 3000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0, |
|
"learning_rate": 2.7777777777777777e-11, |
|
"loss": 1.029, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"learning_rate": 2.7638888888888893e-08, |
|
"loss": 1.181, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"eval_accuracy": 0.3273453093812375, |
|
"eval_loss": 1.1529844999313354, |
|
"eval_runtime": 54.2837, |
|
"eval_samples_per_second": 92.293, |
|
"eval_steps_per_second": 11.55, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"learning_rate": 5.541666666666667e-08, |
|
"loss": 1.1527, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"eval_accuracy": 0.33013972055888224, |
|
"eval_loss": 1.1351025104522705, |
|
"eval_runtime": 54.0518, |
|
"eval_samples_per_second": 92.689, |
|
"eval_steps_per_second": 11.6, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"learning_rate": 8.316666666666666e-08, |
|
"loss": 1.142, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 0.12, |
|
"eval_accuracy": 0.3317365269461078, |
|
"eval_loss": 1.127414345741272, |
|
"eval_runtime": 54.0871, |
|
"eval_samples_per_second": 92.628, |
|
"eval_steps_per_second": 11.592, |
|
"step": 3000 |
|
} |
|
], |
|
"logging_steps": 1000, |
|
"max_steps": 10000000, |
|
"num_train_epochs": 408, |
|
"save_steps": 1000, |
|
"total_flos": 6271065391104000.0, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|