File size: 1,250 Bytes
dfecd20 c36281f dfecd20 c36281f dfecd20 c36281f 95df76e c36281f dfecd20 c36281f dfecd20 c36281f dfecd20 c36281f dfecd20 c36281f dfecd20 |
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": 0.7720156555772995,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-31/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": 2.0108234882354736,
"learning_rate": 0.0005125121117318405,
"loss": 0.5275,
"step": 192
},
{
"epoch": 1.0,
"eval_accuracy": 0.7720156555772995,
"eval_f1": 0.8043660789252729,
"eval_loss": 0.45868822932243347,
"eval_mcc": 0.5764707637440674,
"eval_precision": 0.7044117647058824,
"eval_recall": 0.9373776908023483,
"eval_runtime": 66.8111,
"eval_samples_per_second": 15.297,
"eval_steps_per_second": 0.479,
"step": 192
}
],
"logging_steps": 500,
"max_steps": 960,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 235695197280.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": {
"alpha": 0.8160345152304423,
"learning_rate": 0.0006406401396648006,
"num_train_epochs": 5,
"per_device_train_batch_size": 16,
"temperature": 43
}
}
|