File size: 1,213 Bytes
f96ee19 |
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": 0.7076742823667252,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-19/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": 7.411643028259277,
"learning_rate": 9.671414990548834e-05,
"loss": 0.5212,
"step": 214
},
{
"epoch": 1.0,
"eval_accuracy": 0.7076742823667252,
"eval_f1": 0.4651661307609861,
"eval_loss": 0.48319703340530396,
"eval_mcc": 0.2902539914884967,
"eval_precision": 0.5961538461538461,
"eval_recall": 0.38137082601054484,
"eval_runtime": 3.1282,
"eval_samples_per_second": 545.683,
"eval_steps_per_second": 17.262,
"step": 214
}
],
"logging_steps": 500,
"max_steps": 428,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 500,
"total_flos": 524775664440.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.8445790915524267,
"learning_rate": 0.00019342829981097668,
"num_train_epochs": 2,
"temperature": 17
}
}
|