|
--- |
|
license: apache-2.0 |
|
tags: |
|
- generated_from_trainer |
|
datasets: |
|
- super_glue |
|
metrics: |
|
- accuracy |
|
model-index: |
|
- name: '20230821113948' |
|
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. --> |
|
|
|
# 20230821113948 |
|
|
|
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: 0.5415 |
|
|
|
## 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 | 0.3785 | 0.4729 | |
|
| 0.363 | 2.0 | 624 | 0.3515 | 0.4729 | |
|
| 0.363 | 3.0 | 936 | 0.3491 | 0.5343 | |
|
| 0.362 | 4.0 | 1248 | 0.3494 | 0.5199 | |
|
| 0.3635 | 5.0 | 1560 | 0.3517 | 0.4729 | |
|
| 0.3635 | 6.0 | 1872 | 0.3486 | 0.5271 | |
|
| 0.3606 | 7.0 | 2184 | 0.3482 | 0.5271 | |
|
| 0.3606 | 8.0 | 2496 | 0.3491 | 0.5126 | |
|
| 0.3595 | 9.0 | 2808 | 0.3511 | 0.5271 | |
|
| 0.3617 | 10.0 | 3120 | 0.3541 | 0.5235 | |
|
| 0.3617 | 11.0 | 3432 | 0.3492 | 0.4765 | |
|
| 0.3597 | 12.0 | 3744 | 0.3539 | 0.4729 | |
|
| 0.3574 | 13.0 | 4056 | 0.3499 | 0.4801 | |
|
| 0.3574 | 14.0 | 4368 | 0.3509 | 0.4729 | |
|
| 0.3588 | 15.0 | 4680 | 0.3487 | 0.5199 | |
|
| 0.3588 | 16.0 | 4992 | 0.3483 | 0.5307 | |
|
| 0.3557 | 17.0 | 5304 | 0.3577 | 0.5271 | |
|
| 0.3554 | 18.0 | 5616 | 0.3488 | 0.5343 | |
|
| 0.3554 | 19.0 | 5928 | 0.3631 | 0.4729 | |
|
| 0.3572 | 20.0 | 6240 | 0.3558 | 0.5235 | |
|
| 0.3571 | 21.0 | 6552 | 0.3499 | 0.5415 | |
|
| 0.3571 | 22.0 | 6864 | 0.3520 | 0.5271 | |
|
| 0.3566 | 23.0 | 7176 | 0.3602 | 0.5379 | |
|
| 0.3566 | 24.0 | 7488 | 0.3489 | 0.5343 | |
|
| 0.3559 | 25.0 | 7800 | 0.3494 | 0.5307 | |
|
| 0.354 | 26.0 | 8112 | 0.3572 | 0.4729 | |
|
| 0.354 | 27.0 | 8424 | 0.3634 | 0.4729 | |
|
| 0.3552 | 28.0 | 8736 | 0.3487 | 0.5271 | |
|
| 0.3541 | 29.0 | 9048 | 0.3487 | 0.5235 | |
|
| 0.3541 | 30.0 | 9360 | 0.3493 | 0.4838 | |
|
| 0.354 | 31.0 | 9672 | 0.3511 | 0.5379 | |
|
| 0.354 | 32.0 | 9984 | 0.3481 | 0.5343 | |
|
| 0.3552 | 33.0 | 10296 | 0.3479 | 0.5307 | |
|
| 0.3535 | 34.0 | 10608 | 0.3483 | 0.5379 | |
|
| 0.3535 | 35.0 | 10920 | 0.3481 | 0.5343 | |
|
| 0.352 | 36.0 | 11232 | 0.3499 | 0.4765 | |
|
| 0.3502 | 37.0 | 11544 | 0.3490 | 0.5235 | |
|
| 0.3502 | 38.0 | 11856 | 0.3483 | 0.5271 | |
|
| 0.3528 | 39.0 | 12168 | 0.3495 | 0.5343 | |
|
| 0.3528 | 40.0 | 12480 | 0.3493 | 0.5415 | |
|
| 0.353 | 41.0 | 12792 | 0.3491 | 0.5343 | |
|
| 0.3527 | 42.0 | 13104 | 0.3566 | 0.4729 | |
|
| 0.3527 | 43.0 | 13416 | 0.3479 | 0.5271 | |
|
| 0.3515 | 44.0 | 13728 | 0.3496 | 0.4657 | |
|
| 0.3526 | 45.0 | 14040 | 0.3518 | 0.4729 | |
|
| 0.3526 | 46.0 | 14352 | 0.3486 | 0.5415 | |
|
| 0.3517 | 47.0 | 14664 | 0.3534 | 0.4729 | |
|
| 0.3517 | 48.0 | 14976 | 0.3503 | 0.5451 | |
|
| 0.352 | 49.0 | 15288 | 0.3482 | 0.5379 | |
|
| 0.3512 | 50.0 | 15600 | 0.3484 | 0.5415 | |
|
| 0.3512 | 51.0 | 15912 | 0.3488 | 0.5271 | |
|
| 0.3521 | 52.0 | 16224 | 0.3513 | 0.4729 | |
|
| 0.3499 | 53.0 | 16536 | 0.3480 | 0.5307 | |
|
| 0.3499 | 54.0 | 16848 | 0.3480 | 0.5379 | |
|
| 0.3503 | 55.0 | 17160 | 0.3481 | 0.5415 | |
|
| 0.3503 | 56.0 | 17472 | 0.3480 | 0.5307 | |
|
| 0.3515 | 57.0 | 17784 | 0.3492 | 0.4838 | |
|
| 0.3507 | 58.0 | 18096 | 0.3481 | 0.5379 | |
|
| 0.3507 | 59.0 | 18408 | 0.3480 | 0.5379 | |
|
| 0.3505 | 60.0 | 18720 | 0.3480 | 0.5415 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.30.0 |
|
- Pytorch 2.0.1+cu117 |
|
- Datasets 2.14.4 |
|
- Tokenizers 0.13.3 |
|
|
