File size: 1,231 Bytes
52ee2d1 |
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": 0.6491421375728003,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-5/checkpoint-1588",
"epoch": 1.0,
"eval_steps": 500,
"global_step": 1588,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.13218343257904053,
"learning_rate": 0.00015920412041008642,
"loss": 0.0241,
"step": 1588
},
{
"epoch": 1.0,
"eval_accuracy": 0.6491421375728003,
"eval_f1": 0.01109139307897072,
"eval_loss": 0.01951172575354576,
"eval_mcc": -0.07598752829291255,
"eval_precision": 0.09157509157509157,
"eval_recall": 0.0059031877213695395,
"eval_runtime": 23.3183,
"eval_samples_per_second": 544.893,
"eval_steps_per_second": 17.068,
"step": 1588
}
],
"logging_steps": 500,
"max_steps": 14292,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"save_steps": 500,
"total_flos": 3908894076300.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.020625425582708967,
"learning_rate": 0.00017910463546134722,
"num_train_epochs": 9,
"temperature": 19
}
}
|