File size: 1,807 Bytes
ada44c8 |
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 |
{
"best_metric": 0.8043052837573386,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-22/checkpoint-384",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 384,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 4.364559650421143,
"learning_rate": 0.0002529924510479742,
"loss": 0.5381,
"step": 192
},
{
"epoch": 1.0,
"eval_accuracy": 0.7896281800391389,
"eval_f1": 0.8071748878923767,
"eval_loss": 0.45070555806159973,
"eval_mcc": 0.5890946801852007,
"eval_precision": 0.7450331125827815,
"eval_recall": 0.8806262230919765,
"eval_runtime": 67.3745,
"eval_samples_per_second": 15.169,
"eval_steps_per_second": 0.475,
"step": 192
},
{
"epoch": 2.0,
"grad_norm": 9.345165252685547,
"learning_rate": 0.0001686616340319828,
"loss": 0.4554,
"step": 384
},
{
"epoch": 2.0,
"eval_accuracy": 0.8043052837573386,
"eval_f1": 0.8127340823970037,
"eval_loss": 0.4277065694332123,
"eval_mcc": 0.6110916014068072,
"eval_precision": 0.7791741472172352,
"eval_recall": 0.8493150684931506,
"eval_runtime": 67.2822,
"eval_samples_per_second": 15.19,
"eval_steps_per_second": 0.476,
"step": 384
}
],
"logging_steps": 500,
"max_steps": 768,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 471390394560.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": {
"alpha": 0.885980659186716,
"learning_rate": 0.0003373232680639656,
"num_train_epochs": 4,
"per_device_train_batch_size": 16,
"temperature": 44
}
}
|