File size: 1,213 Bytes
5d5a48b |
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 |
{
"best_metric": 0.7065026362038664,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-37/checkpoint-214",
"epoch": 1.0,
"eval_steps": 500,
"global_step": 214,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 2.5660171508789062,
"learning_rate": 0.0005426960660121868,
"loss": 0.3936,
"step": 214
},
{
"epoch": 1.0,
"eval_accuracy": 0.7065026362038664,
"eval_f1": 0.3275167785234899,
"eval_loss": 0.3753478229045868,
"eval_mcc": 0.2588181173815382,
"eval_precision": 0.6931818181818182,
"eval_recall": 0.21441124780316345,
"eval_runtime": 3.1566,
"eval_samples_per_second": 540.772,
"eval_steps_per_second": 17.107,
"step": 214
}
],
"logging_steps": 500,
"max_steps": 1070,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 524775664440.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.6249127121707758,
"learning_rate": 0.0006783700825152334,
"num_train_epochs": 5,
"temperature": 13
}
}
|