File size: 1,253 Bytes
cc908de b9f11f7 cc908de b9f11f7 cc908de b9f11f7 cc908de b9f11f7 cc908de b9f11f7 cc908de b9f11f7 cc908de b9f11f7 cc908de b9f11f7 cc908de |
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 46 47 48 |
{
"best_metric": 0.5499021526418787,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-2/checkpoint-192",
"epoch": 1.0,
"eval_steps": 500,
"global_step": 192,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.0371571779251099,
"learning_rate": 0.0001305282668790618,
"loss": 0.3216,
"step": 192
},
{
"epoch": 1.0,
"eval_accuracy": 0.5499021526418787,
"eval_f1": 0.23841059602649006,
"eval_loss": 0.2955350875854492,
"eval_mcc": 0.17350853577425898,
"eval_precision": 0.7741935483870968,
"eval_recall": 0.14090019569471623,
"eval_runtime": 67.6225,
"eval_samples_per_second": 15.113,
"eval_steps_per_second": 0.473,
"step": 192
}
],
"logging_steps": 500,
"max_steps": 1728,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"save_steps": 500,
"total_flos": 235695197280.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": {
"alpha": 0.4208671172864604,
"learning_rate": 0.00014684430023894452,
"num_train_epochs": 9,
"per_device_train_batch_size": 16,
"temperature": 48
}
}
|