|
{ |
|
"best_metric": 0.88732, |
|
"best_model_checkpoint": "checkpoint/bert-base/imdb_42/checkpoint-7820", |
|
"epoch": 10.0, |
|
"global_step": 7820, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.885, |
|
"eval_loss": 0.2771714925765991, |
|
"eval_runtime": 15.7601, |
|
"eval_samples_per_second": 1586.288, |
|
"eval_steps_per_second": 6.218, |
|
"step": 782 |
|
}, |
|
{ |
|
"epoch": 1.28, |
|
"learning_rate": 4.360613810741688e-05, |
|
"loss": 0.3091, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.88332, |
|
"eval_loss": 0.3185863494873047, |
|
"eval_runtime": 14.8791, |
|
"eval_samples_per_second": 1680.206, |
|
"eval_steps_per_second": 6.586, |
|
"step": 1564 |
|
}, |
|
{ |
|
"epoch": 2.56, |
|
"learning_rate": 3.721227621483376e-05, |
|
"loss": 0.1446, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.88372, |
|
"eval_loss": 0.4319324493408203, |
|
"eval_runtime": 15.634, |
|
"eval_samples_per_second": 1599.077, |
|
"eval_steps_per_second": 6.268, |
|
"step": 2346 |
|
}, |
|
{ |
|
"epoch": 3.84, |
|
"learning_rate": 3.081841432225064e-05, |
|
"loss": 0.0654, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.88224, |
|
"eval_loss": 0.527112603187561, |
|
"eval_runtime": 15.5935, |
|
"eval_samples_per_second": 1603.233, |
|
"eval_steps_per_second": 6.285, |
|
"step": 3128 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.882, |
|
"eval_loss": 0.7103033065795898, |
|
"eval_runtime": 15.6832, |
|
"eval_samples_per_second": 1594.061, |
|
"eval_steps_per_second": 6.249, |
|
"step": 3910 |
|
}, |
|
{ |
|
"epoch": 5.12, |
|
"learning_rate": 2.442455242966752e-05, |
|
"loss": 0.0255, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.88156, |
|
"eval_loss": 0.7340117692947388, |
|
"eval_runtime": 15.5378, |
|
"eval_samples_per_second": 1608.978, |
|
"eval_steps_per_second": 6.307, |
|
"step": 4692 |
|
}, |
|
{ |
|
"epoch": 6.39, |
|
"learning_rate": 1.80306905370844e-05, |
|
"loss": 0.0144, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.88624, |
|
"eval_loss": 0.8043656945228577, |
|
"eval_runtime": 15.5601, |
|
"eval_samples_per_second": 1606.673, |
|
"eval_steps_per_second": 6.298, |
|
"step": 5474 |
|
}, |
|
{ |
|
"epoch": 7.67, |
|
"learning_rate": 1.163682864450128e-05, |
|
"loss": 0.0106, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.88544, |
|
"eval_loss": 0.8684703707695007, |
|
"eval_runtime": 15.6281, |
|
"eval_samples_per_second": 1599.681, |
|
"eval_steps_per_second": 6.271, |
|
"step": 6256 |
|
}, |
|
{ |
|
"epoch": 8.95, |
|
"learning_rate": 5.242966751918159e-06, |
|
"loss": 0.0049, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.88596, |
|
"eval_loss": 0.8513516187667847, |
|
"eval_runtime": 15.5688, |
|
"eval_samples_per_second": 1605.772, |
|
"eval_steps_per_second": 6.295, |
|
"step": 7038 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.88732, |
|
"eval_loss": 0.8893799185752869, |
|
"eval_runtime": 15.6721, |
|
"eval_samples_per_second": 1595.191, |
|
"eval_steps_per_second": 6.253, |
|
"step": 7820 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"step": 7820, |
|
"total_flos": 1.644444096e+16, |
|
"train_loss": 0.07364957506394447, |
|
"train_runtime": 797.6475, |
|
"train_samples_per_second": 313.422, |
|
"train_steps_per_second": 9.804 |
|
} |
|
], |
|
"max_steps": 7820, |
|
"num_train_epochs": 10, |
|
"total_flos": 1.644444096e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|