File size: 1,213 Bytes
5194299 |
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": 0.5148514851485149,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-4/checkpoint-272",
"epoch": 1.0,
"eval_steps": 500,
"global_step": 272,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.47601568698883057,
"learning_rate": 0.0001813549979293713,
"loss": 0.2628,
"step": 272
},
{
"epoch": 1.0,
"eval_accuracy": 0.5148514851485149,
"eval_f1": 0.16382252559726962,
"eval_loss": 0.2552995979785919,
"eval_precision": 0.5853658536585366,
"eval_recall": 0.09523809523809523,
"eval_runtime": 15.0762,
"eval_samples_per_second": 33.496,
"eval_steps_per_second": 1.061,
"step": 272
}
],
"logging_steps": 500,
"max_steps": 544,
"num_input_tokens_seen": 0,
"num_train_epochs": 2,
"save_steps": 500,
"total_flos": 777843283140.0,
"train_batch_size": 35,
"trial_name": null,
"trial_params": {
"alpha": 0.31055615469788644,
"learning_rate": 0.0003627099958587426,
"num_train_epochs": 2,
"per_device_train_batch_size": 35,
"temperature": 4
}
}
|