File size: 1,727 Bytes
d0b23dd |
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 60 61 62 63 64 65 66 67 68 69 70 71 |
{
"best_metric": 0.7759866592551418,
"best_model_checkpoint": "tinybert-TG-HS-HX-parentpretrained\\run-1\\checkpoint-591",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 591,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"learning_rate": 4.6037225390588216e-06,
"loss": 0.2825,
"step": 197
},
{
"epoch": 1.0,
"eval_accuracy": 0.7523624235686492,
"eval_loss": 0.26902320981025696,
"eval_runtime": 126.6156,
"eval_samples_per_second": 56.833,
"eval_steps_per_second": 0.45,
"step": 197
},
{
"epoch": 2.0,
"learning_rate": 3.4527919042941157e-06,
"loss": 0.2724,
"step": 394
},
{
"epoch": 2.0,
"eval_accuracy": 0.7718176764869372,
"eval_loss": 0.2650889456272125,
"eval_runtime": 126.546,
"eval_samples_per_second": 56.865,
"eval_steps_per_second": 0.45,
"step": 394
},
{
"epoch": 3.0,
"learning_rate": 2.3018612695294108e-06,
"loss": 0.2692,
"step": 591
},
{
"epoch": 3.0,
"eval_accuracy": 0.7759866592551418,
"eval_loss": 0.2634750008583069,
"eval_runtime": 126.5942,
"eval_samples_per_second": 56.843,
"eval_steps_per_second": 0.45,
"step": 591
}
],
"logging_steps": 500,
"max_steps": 985,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"total_flos": 133009215775884.0,
"trial_name": null,
"trial_params": {
"alpha": 0.4394092153370026,
"learning_rate": 5.7546531738235265e-06,
"num_train_epochs": 5,
"temperature": 23
}
}
|