---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230822124929'
  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. -->

# 20230822124929

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: 0.3407
- Accuracy: 0.6570

## 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: 0.001
- 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   | 0.3734          | 0.5307   |
| 0.4216        | 2.0   | 624   | 0.3802          | 0.4729   |
| 0.4216        | 3.0   | 936   | 0.4299          | 0.4765   |
| 0.3883        | 4.0   | 1248  | 0.3490          | 0.5451   |
| 0.3918        | 5.0   | 1560  | 0.3461          | 0.5884   |
| 0.3918        | 6.0   | 1872  | 0.3599          | 0.5523   |
| 0.3764        | 7.0   | 2184  | 0.3565          | 0.5451   |
| 0.3764        | 8.0   | 2496  | 0.3611          | 0.5018   |
| 0.3794        | 9.0   | 2808  | 0.4040          | 0.5415   |
| 0.3778        | 10.0  | 3120  | 0.3622          | 0.4729   |
| 0.3778        | 11.0  | 3432  | 0.4954          | 0.4693   |
| 0.3813        | 12.0  | 3744  | 0.3602          | 0.4765   |
| 0.3718        | 13.0  | 4056  | 0.3453          | 0.5415   |
| 0.3718        | 14.0  | 4368  | 0.3640          | 0.5343   |
| 0.3701        | 15.0  | 4680  | 0.3589          | 0.4838   |
| 0.3701        | 16.0  | 4992  | 0.3700          | 0.5632   |
| 0.371         | 17.0  | 5304  | 0.4147          | 0.5343   |
| 0.3644        | 18.0  | 5616  | 0.3505          | 0.5740   |
| 0.3644        | 19.0  | 5928  | 0.3736          | 0.4874   |
| 0.3667        | 20.0  | 6240  | 0.3637          | 0.5704   |
| 0.3629        | 21.0  | 6552  | 0.3412          | 0.6209   |
| 0.3629        | 22.0  | 6864  | 0.3451          | 0.6282   |
| 0.3574        | 23.0  | 7176  | 0.3626          | 0.6065   |
| 0.3574        | 24.0  | 7488  | 0.3732          | 0.4874   |
| 0.3565        | 25.0  | 7800  | 0.3427          | 0.6173   |
| 0.3525        | 26.0  | 8112  | 0.3855          | 0.5812   |
| 0.3525        | 27.0  | 8424  | 0.3384          | 0.6498   |
| 0.3523        | 28.0  | 8736  | 0.3408          | 0.6282   |
| 0.3505        | 29.0  | 9048  | 0.3548          | 0.6101   |
| 0.3505        | 30.0  | 9360  | 0.3861          | 0.5921   |
| 0.3509        | 31.0  | 9672  | 0.3710          | 0.5993   |
| 0.3509        | 32.0  | 9984  | 0.3897          | 0.5993   |
| 0.3494        | 33.0  | 10296 | 0.3535          | 0.6354   |
| 0.3459        | 34.0  | 10608 | 0.3389          | 0.6282   |
| 0.3459        | 35.0  | 10920 | 0.3397          | 0.6209   |
| 0.3429        | 36.0  | 11232 | 0.3450          | 0.6101   |
| 0.3432        | 37.0  | 11544 | 0.3925          | 0.6065   |
| 0.3432        | 38.0  | 11856 | 0.3294          | 0.6715   |
| 0.341         | 39.0  | 12168 | 0.3442          | 0.6390   |
| 0.341         | 40.0  | 12480 | 0.3421          | 0.6462   |
| 0.3392        | 41.0  | 12792 | 0.3371          | 0.6390   |
| 0.3392        | 42.0  | 13104 | 0.3326          | 0.6534   |
| 0.3392        | 43.0  | 13416 | 0.3714          | 0.6282   |
| 0.337         | 44.0  | 13728 | 0.3535          | 0.6245   |
| 0.3352        | 45.0  | 14040 | 0.3548          | 0.6245   |
| 0.3352        | 46.0  | 14352 | 0.3361          | 0.6570   |
| 0.3335        | 47.0  | 14664 | 0.3329          | 0.6859   |
| 0.3335        | 48.0  | 14976 | 0.3423          | 0.6462   |
| 0.3329        | 49.0  | 15288 | 0.3356          | 0.6534   |
| 0.3308        | 50.0  | 15600 | 0.3398          | 0.6643   |
| 0.3308        | 51.0  | 15912 | 0.3374          | 0.6679   |
| 0.3291        | 52.0  | 16224 | 0.3315          | 0.6787   |
| 0.3284        | 53.0  | 16536 | 0.3650          | 0.6318   |
| 0.3284        | 54.0  | 16848 | 0.3537          | 0.6282   |
| 0.3257        | 55.0  | 17160 | 0.3480          | 0.6426   |
| 0.3257        | 56.0  | 17472 | 0.3424          | 0.6570   |
| 0.3274        | 57.0  | 17784 | 0.3413          | 0.6679   |
| 0.3265        | 58.0  | 18096 | 0.3442          | 0.6390   |
| 0.3265        | 59.0  | 18408 | 0.3417          | 0.6534   |
| 0.326         | 60.0  | 18720 | 0.3407          | 0.6570   |


### Framework versions

- Transformers 4.26.1
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3