|
{ |
|
"best_metric": 1.4215906858444214, |
|
"best_model_checkpoint": "./bertu_sentiment_finetuned/checkpoint-1000", |
|
"epoch": 200.0, |
|
"eval_steps": 1000, |
|
"global_step": 2000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 50.0, |
|
"learning_rate": 7.500000000000001e-05, |
|
"loss": 0.0306, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 100.0, |
|
"learning_rate": 5e-05, |
|
"loss": 0.0, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 100.0, |
|
"eval_accuracy": 0.8352941176470589, |
|
"eval_f1": 0.7666666666666667, |
|
"eval_loss": 1.4215906858444214, |
|
"eval_runtime": 1.8326, |
|
"eval_samples_per_second": 46.383, |
|
"eval_steps_per_second": 1.091, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 150.0, |
|
"learning_rate": 2.5e-05, |
|
"loss": 0.0, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 200.0, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 200.0, |
|
"eval_accuracy": 0.8470588235294118, |
|
"eval_f1": 0.7796610169491527, |
|
"eval_loss": 1.4892604351043701, |
|
"eval_runtime": 1.6492, |
|
"eval_samples_per_second": 51.542, |
|
"eval_steps_per_second": 1.213, |
|
"step": 2000 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2000, |
|
"num_train_epochs": 200, |
|
"save_steps": 1000, |
|
"total_flos": 3.131021558784e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|