File size: 1,167 Bytes
bc909f6 f9d3f0f bc909f6 f9d3f0f bc909f6 f9d3f0f bc909f6 f9d3f0f bc909f6 f9d3f0f bc909f6 f9d3f0f bc909f6 |
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 |
{
"best_metric": 0.7661448140900196,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-33/checkpoint-96",
"epoch": 1.0,
"eval_steps": 500,
"global_step": 96,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 3.7092182636260986,
"learning_rate": 0.000176452045162556,
"loss": 0.5741,
"step": 96
},
{
"epoch": 1.0,
"eval_accuracy": 0.7661448140900196,
"eval_f1": 0.8032921810699588,
"eval_loss": 0.48392367362976074,
"eval_precision": 0.6931818181818182,
"eval_recall": 0.9549902152641878,
"eval_runtime": 25.4757,
"eval_samples_per_second": 40.117,
"eval_steps_per_second": 1.256,
"step": 96
}
],
"logging_steps": 500,
"max_steps": 768,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 500,
"total_flos": 235695197280.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.9338649735083602,
"learning_rate": 0.0002016594801857783,
"num_train_epochs": 8,
"temperature": 4
}
}
|