---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230817181727'
  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. -->

# 20230817181727

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: 0.3316
- Accuracy: 0.7365

## 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: 0.004
- train_batch_size: 16
- 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   | 156  | 0.4741          | 0.5307   |
| No log        | 2.0   | 312  | 0.3849          | 0.5090   |
| No log        | 3.0   | 468  | 0.4345          | 0.4729   |
| 0.5496        | 4.0   | 624  | 0.4749          | 0.5235   |
| 0.5496        | 5.0   | 780  | 0.4138          | 0.5343   |
| 0.5496        | 6.0   | 936  | 0.3599          | 0.5632   |
| 0.4365        | 7.0   | 1092 | 0.3954          | 0.5632   |
| 0.4365        | 8.0   | 1248 | 0.3455          | 0.5018   |
| 0.4365        | 9.0   | 1404 | 0.3985          | 0.5776   |
| 0.4109        | 10.0  | 1560 | 0.3828          | 0.5993   |
| 0.4109        | 11.0  | 1716 | 0.4339          | 0.4729   |
| 0.4109        | 12.0  | 1872 | 0.3432          | 0.5379   |
| 0.3611        | 13.0  | 2028 | 0.3395          | 0.6137   |
| 0.3611        | 14.0  | 2184 | 0.3404          | 0.6715   |
| 0.3611        | 15.0  | 2340 | 0.3396          | 0.6570   |
| 0.3611        | 16.0  | 2496 | 0.3857          | 0.6354   |
| 0.3456        | 17.0  | 2652 | 0.3480          | 0.6895   |
| 0.3456        | 18.0  | 2808 | 0.3348          | 0.7040   |
| 0.3456        | 19.0  | 2964 | 0.3323          | 0.6426   |
| 0.3391        | 20.0  | 3120 | 0.3591          | 0.6715   |
| 0.3391        | 21.0  | 3276 | 0.3378          | 0.7148   |
| 0.3391        | 22.0  | 3432 | 0.3453          | 0.7004   |
| 0.3319        | 23.0  | 3588 | 0.3405          | 0.6679   |
| 0.3319        | 24.0  | 3744 | 0.3451          | 0.6390   |
| 0.3319        | 25.0  | 3900 | 0.3665          | 0.6895   |
| 0.3274        | 26.0  | 4056 | 0.3290          | 0.7112   |
| 0.3274        | 27.0  | 4212 | 0.3252          | 0.7040   |
| 0.3274        | 28.0  | 4368 | 0.3265          | 0.7184   |
| 0.3214        | 29.0  | 4524 | 0.3284          | 0.7365   |
| 0.3214        | 30.0  | 4680 | 0.3290          | 0.7437   |
| 0.3214        | 31.0  | 4836 | 0.3328          | 0.7256   |
| 0.3214        | 32.0  | 4992 | 0.3268          | 0.7220   |
| 0.3167        | 33.0  | 5148 | 0.3372          | 0.7220   |
| 0.3167        | 34.0  | 5304 | 0.3263          | 0.7256   |
| 0.3167        | 35.0  | 5460 | 0.3231          | 0.7365   |
| 0.312         | 36.0  | 5616 | 0.3255          | 0.7256   |
| 0.312         | 37.0  | 5772 | 0.3325          | 0.7148   |
| 0.312         | 38.0  | 5928 | 0.3351          | 0.7365   |
| 0.3083        | 39.0  | 6084 | 0.3362          | 0.7148   |
| 0.3083        | 40.0  | 6240 | 0.3326          | 0.7292   |
| 0.3083        | 41.0  | 6396 | 0.3366          | 0.7220   |
| 0.3081        | 42.0  | 6552 | 0.3265          | 0.7292   |
| 0.3081        | 43.0  | 6708 | 0.3351          | 0.7365   |
| 0.3081        | 44.0  | 6864 | 0.3384          | 0.7329   |
| 0.3032        | 45.0  | 7020 | 0.3298          | 0.7220   |
| 0.3032        | 46.0  | 7176 | 0.3309          | 0.7329   |
| 0.3032        | 47.0  | 7332 | 0.3319          | 0.7256   |
| 0.3032        | 48.0  | 7488 | 0.3452          | 0.7401   |
| 0.2998        | 49.0  | 7644 | 0.3365          | 0.7365   |
| 0.2998        | 50.0  | 7800 | 0.3290          | 0.7256   |
| 0.2998        | 51.0  | 7956 | 0.3251          | 0.7509   |
| 0.2989        | 52.0  | 8112 | 0.3254          | 0.7401   |
| 0.2989        | 53.0  | 8268 | 0.3372          | 0.7365   |
| 0.2989        | 54.0  | 8424 | 0.3401          | 0.7437   |
| 0.2951        | 55.0  | 8580 | 0.3315          | 0.7365   |
| 0.2951        | 56.0  | 8736 | 0.3345          | 0.7292   |
| 0.2951        | 57.0  | 8892 | 0.3301          | 0.7292   |
| 0.2945        | 58.0  | 9048 | 0.3322          | 0.7292   |
| 0.2945        | 59.0  | 9204 | 0.3305          | 0.7329   |
| 0.2945        | 60.0  | 9360 | 0.3316          | 0.7365   |


### Framework versions

- Transformers 4.30.0
- Pytorch 2.0.1
- Datasets 2.14.4
- Tokenizers 0.13.3