|
{ |
|
"best_metric": 0.5632535815238953, |
|
"best_model_checkpoint": "french_xlm_xnli/checkpoint-3068", |
|
"epoch": 2.0, |
|
"global_step": 3068, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.33, |
|
"learning_rate": 4.185136897001304e-05, |
|
"loss": 0.7763, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.65, |
|
"learning_rate": 3.370273794002607e-05, |
|
"loss": 0.6385, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.98, |
|
"learning_rate": 2.5554106910039117e-05, |
|
"loss": 0.6041, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7546184738955823, |
|
"eval_loss": 0.5825812220573425, |
|
"eval_runtime": 33.572, |
|
"eval_samples_per_second": 74.169, |
|
"eval_steps_per_second": 1.162, |
|
"step": 1534 |
|
}, |
|
{ |
|
"epoch": 1.3, |
|
"learning_rate": 1.740547588005215e-05, |
|
"loss": 0.5271, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 1.63, |
|
"learning_rate": 9.25684485006519e-06, |
|
"loss": 0.515, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 1.96, |
|
"learning_rate": 1.108213820078227e-06, |
|
"loss": 0.5088, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7775100401606426, |
|
"eval_loss": 0.5632535815238953, |
|
"eval_runtime": 33.5902, |
|
"eval_samples_per_second": 74.129, |
|
"eval_steps_per_second": 1.161, |
|
"step": 3068 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"step": 3068, |
|
"total_flos": 5.166258268431053e+16, |
|
"train_loss": 0.592957808732054, |
|
"train_runtime": 6462.0191, |
|
"train_samples_per_second": 121.542, |
|
"train_steps_per_second": 0.475 |
|
} |
|
], |
|
"max_steps": 3068, |
|
"num_train_epochs": 2, |
|
"total_flos": 5.166258268431053e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|