File size: 1,456 Bytes
c26ede0 |
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 48 49 50 51 52 53 54 55 56 57 58 59 |
{
"best_metric": 0.8256880733944955,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-11/checkpoint-527",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 1054,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 6.5331573486328125,
"learning_rate": 0.00014562243502675204,
"loss": 0.547,
"step": 527
},
{
"epoch": 1.0,
"eval_accuracy": 0.8256880733944955,
"eval_loss": 0.5717546343803406,
"eval_runtime": 2.8071,
"eval_samples_per_second": 310.639,
"eval_steps_per_second": 2.494,
"step": 527
},
{
"epoch": 2.0,
"grad_norm": 4.755884647369385,
"learning_rate": 0.0001248192300229303,
"loss": 0.3165,
"step": 1054
},
{
"epoch": 2.0,
"eval_accuracy": 0.823394495412844,
"eval_loss": 0.6189394593238831,
"eval_runtime": 2.8231,
"eval_samples_per_second": 308.882,
"eval_steps_per_second": 2.48,
"step": 1054
}
],
"logging_steps": 500,
"max_steps": 4216,
"num_input_tokens_seen": 0,
"num_train_epochs": 8,
"save_steps": 500,
"total_flos": 16141525436100.0,
"train_batch_size": 128,
"trial_name": null,
"trial_params": {
"alpha": 0.9318516048675823,
"learning_rate": 0.00016642564003057375,
"num_train_epochs": 8,
"temperature": 23
}
}
|