File size: 1,153 Bytes
6dec3f5 b87026d 6dec3f5 b87026d 6dec3f5 b87026d 6dec3f5 b87026d 6dec3f5 b87026d 6dec3f5 b87026d 6dec3f5 b87026d 6dec3f5 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 |
{
"best_metric": 0.6743295019157088,
"best_model_checkpoint": "bert-finetuned-spam/run-3/checkpoint-52",
"epoch": 1.980952380952381,
"eval_steps": 500,
"global_step": 52,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.9904761904761905,
"eval_accuracy": 0.5842911877394636,
"eval_loss": 0.6791262626647949,
"eval_runtime": 11.9767,
"eval_samples_per_second": 87.169,
"eval_steps_per_second": 5.511,
"step": 26
},
{
"epoch": 1.980952380952381,
"eval_accuracy": 0.6743295019157088,
"eval_loss": 0.6536270976066589,
"eval_runtime": 11.9792,
"eval_samples_per_second": 87.151,
"eval_steps_per_second": 5.51,
"step": 52
}
],
"logging_steps": 500,
"max_steps": 130,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"learning_rate": 4.7062098777571366e-05,
"num_train_epochs": 5,
"per_device_train_batch_size": 32,
"seed": 8
}
}
|