|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- super_glue |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: '20230822144501' |
|
results: [] |
|
--- |
|
|
|
<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
|
should probably proofread and complete it, then remove this comment. --> |
|
|
|
# 20230822144501 |
|
|
|
This model is a fine-tuned version of [bert-large-cased](https://huggingface.co/bert-large-cased) on the super_glue dataset. |
|
It achieves the following results on the evaluation set: |
|
- Loss: 0.3480 |
|
- Accuracy: 0.5271 |
|
|
|
## Model description |
|
|
|
More information needed |
|
|
|
## Intended uses & limitations |
|
|
|
More information needed |
|
|
|
## Training and evaluation data |
|
|
|
More information needed |
|
|
|
## Training procedure |
|
|
|
### Training hyperparameters |
|
|
|
The following hyperparameters were used during training: |
|
- learning_rate: 0.0001 |
|
- train_batch_size: 8 |
|
- eval_batch_size: 8 |
|
- seed: 11 |
|
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
|
- lr_scheduler_type: linear |
|
- num_epochs: 60.0 |
|
|
|
### Training results |
|
|
|
| Training Loss | Epoch | Step | Validation Loss | Accuracy | |
|
|:-------------:|:-----:|:-----:|:---------------:|:--------:| |
|
| No log | 1.0 | 312 | 0.3687 | 0.4729 | |
|
| 0.3745 | 2.0 | 624 | 0.3523 | 0.5379 | |
|
| 0.3745 | 3.0 | 936 | 0.3598 | 0.4729 | |
|
| 0.3798 | 4.0 | 1248 | 0.3479 | 0.5271 | |
|
| 0.3752 | 5.0 | 1560 | 0.3593 | 0.4729 | |
|
| 0.3752 | 6.0 | 1872 | 0.3505 | 0.5271 | |
|
| 0.373 | 7.0 | 2184 | 0.3480 | 0.5271 | |
|
| 0.373 | 8.0 | 2496 | 0.3593 | 0.4729 | |
|
| 0.3724 | 9.0 | 2808 | 0.3490 | 0.5271 | |
|
| 0.3669 | 10.0 | 3120 | 0.3489 | 0.5271 | |
|
| 0.3669 | 11.0 | 3432 | 0.3487 | 0.5271 | |
|
| 0.3681 | 12.0 | 3744 | 0.3588 | 0.4729 | |
|
| 0.3636 | 13.0 | 4056 | 0.3519 | 0.5271 | |
|
| 0.3636 | 14.0 | 4368 | 0.3511 | 0.5271 | |
|
| 0.3629 | 15.0 | 4680 | 0.3510 | 0.5271 | |
|
| 0.3629 | 16.0 | 4992 | 0.3478 | 0.5271 | |
|
| 0.3591 | 17.0 | 5304 | 0.3502 | 0.5271 | |
|
| 0.3564 | 18.0 | 5616 | 0.3481 | 0.5271 | |
|
| 0.3564 | 19.0 | 5928 | 0.3511 | 0.5271 | |
|
| 0.3573 | 20.0 | 6240 | 0.3512 | 0.5271 | |
|
| 0.3574 | 21.0 | 6552 | 0.3481 | 0.5271 | |
|
| 0.3574 | 22.0 | 6864 | 0.3488 | 0.5271 | |
|
| 0.3566 | 23.0 | 7176 | 0.3516 | 0.5271 | |
|
| 0.3566 | 24.0 | 7488 | 0.3483 | 0.5271 | |
|
| 0.3571 | 25.0 | 7800 | 0.3478 | 0.5271 | |
|
| 0.3562 | 26.0 | 8112 | 0.3478 | 0.5271 | |
|
| 0.3562 | 27.0 | 8424 | 0.3534 | 0.5271 | |
|
| 0.356 | 28.0 | 8736 | 0.3482 | 0.5271 | |
|
| 0.3564 | 29.0 | 9048 | 0.3479 | 0.5271 | |
|
| 0.3564 | 30.0 | 9360 | 0.3506 | 0.5271 | |
|
| 0.3566 | 31.0 | 9672 | 0.3481 | 0.5271 | |
|
| 0.3566 | 32.0 | 9984 | 0.3480 | 0.5271 | |
|
| 0.3552 | 33.0 | 10296 | 0.3479 | 0.5271 | |
|
| 0.3558 | 34.0 | 10608 | 0.3483 | 0.5271 | |
|
| 0.3558 | 35.0 | 10920 | 0.3482 | 0.5271 | |
|
| 0.3553 | 36.0 | 11232 | 0.3494 | 0.5271 | |
|
| 0.3546 | 37.0 | 11544 | 0.3478 | 0.5271 | |
|
| 0.3546 | 38.0 | 11856 | 0.3491 | 0.5271 | |
|
| 0.3558 | 39.0 | 12168 | 0.3479 | 0.5271 | |
|
| 0.3558 | 40.0 | 12480 | 0.3486 | 0.5271 | |
|
| 0.3558 | 41.0 | 12792 | 0.3480 | 0.5271 | |
|
| 0.3551 | 42.0 | 13104 | 0.3495 | 0.5271 | |
|
| 0.3551 | 43.0 | 13416 | 0.3479 | 0.5271 | |
|
| 0.3563 | 44.0 | 13728 | 0.3480 | 0.5271 | |
|
| 0.3549 | 45.0 | 14040 | 0.3503 | 0.5271 | |
|
| 0.3549 | 46.0 | 14352 | 0.3490 | 0.5271 | |
|
| 0.355 | 47.0 | 14664 | 0.3493 | 0.5271 | |
|
| 0.355 | 48.0 | 14976 | 0.3479 | 0.5271 | |
|
| 0.3551 | 49.0 | 15288 | 0.3484 | 0.5271 | |
|
| 0.3558 | 50.0 | 15600 | 0.3479 | 0.5271 | |
|
| 0.3558 | 51.0 | 15912 | 0.3480 | 0.5271 | |
|
| 0.3542 | 52.0 | 16224 | 0.3488 | 0.5271 | |
|
| 0.3553 | 53.0 | 16536 | 0.3483 | 0.5271 | |
|
| 0.3553 | 54.0 | 16848 | 0.3485 | 0.5271 | |
|
| 0.3544 | 55.0 | 17160 | 0.3481 | 0.5271 | |
|
| 0.3544 | 56.0 | 17472 | 0.3480 | 0.5271 | |
|
| 0.3549 | 57.0 | 17784 | 0.3483 | 0.5271 | |
|
| 0.3544 | 58.0 | 18096 | 0.3481 | 0.5271 | |
|
| 0.3544 | 59.0 | 18408 | 0.3481 | 0.5271 | |
|
| 0.3537 | 60.0 | 18720 | 0.3480 | 0.5271 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.26.1 |
|
- Pytorch 2.0.1+cu118 |
|
- Datasets 2.12.0 |
|
- Tokenizers 0.13.3 |
|
|
