---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- super_glue
metrics:
- accuracy
model-index:
- name: '20230831092825'
  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. -->

# 20230831092825

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: 0.5298
- Accuracy: 0.6771

## 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: 0.0003
- 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: 80.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|
| No log        | 1.0   | 340   | 0.4989          | 0.5      |
| 0.5076        | 2.0   | 680   | 0.4922          | 0.5      |
| 0.5029        | 3.0   | 1020  | 0.4980          | 0.5      |
| 0.5029        | 4.0   | 1360  | 0.4881          | 0.5125   |
| 0.4992        | 5.0   | 1700  | 0.5067          | 0.5      |
| 0.4818        | 6.0   | 2040  | 0.4919          | 0.5251   |
| 0.4818        | 7.0   | 2380  | 0.5045          | 0.5392   |
| 0.4719        | 8.0   | 2720  | 0.4695          | 0.5      |
| 0.4636        | 9.0   | 3060  | 0.4805          | 0.5      |
| 0.4636        | 10.0  | 3400  | 0.5002          | 0.5      |
| 0.4501        | 11.0  | 3740  | 0.5665          | 0.6646   |
| 0.4418        | 12.0  | 4080  | 0.5283          | 0.6897   |
| 0.4418        | 13.0  | 4420  | 0.4705          | 0.5      |
| 0.4352        | 14.0  | 4760  | 0.5644          | 0.6630   |
| 0.4302        | 15.0  | 5100  | 0.5080          | 0.6505   |
| 0.4302        | 16.0  | 5440  | 0.5084          | 0.6897   |
| 0.4305        | 17.0  | 5780  | 0.5006          | 0.6599   |
| 0.4203        | 18.0  | 6120  | 0.5246          | 0.6928   |
| 0.4203        | 19.0  | 6460  | 0.4958          | 0.6583   |
| 0.4166        | 20.0  | 6800  | 0.5595          | 0.6630   |
| 0.4117        | 21.0  | 7140  | 0.4796          | 0.5      |
| 0.4117        | 22.0  | 7480  | 0.4820          | 0.5      |
| 0.4131        | 23.0  | 7820  | 0.5158          | 0.6755   |
| 0.406         | 24.0  | 8160  | 0.4801          | 0.5      |
| 0.4062        | 25.0  | 8500  | 0.5471          | 0.6646   |
| 0.4062        | 26.0  | 8840  | 0.4904          | 0.5      |
| 0.4021        | 27.0  | 9180  | 0.4880          | 0.5      |
| 0.3971        | 28.0  | 9520  | 0.5019          | 0.6646   |
| 0.3971        | 29.0  | 9860  | 0.4825          | 0.5      |
| 0.3936        | 30.0  | 10200 | 0.5069          | 0.6693   |
| 0.3907        | 31.0  | 10540 | 0.5472          | 0.6693   |
| 0.3907        | 32.0  | 10880 | 0.4886          | 0.5      |
| 0.3906        | 33.0  | 11220 | 0.5531          | 0.6693   |
| 0.3888        | 34.0  | 11560 | 0.5023          | 0.5266   |
| 0.3888        | 35.0  | 11900 | 0.4896          | 0.5      |
| 0.387         | 36.0  | 12240 | 0.4985          | 0.5      |
| 0.3836        | 37.0  | 12580 | 0.5309          | 0.6834   |
| 0.3836        | 38.0  | 12920 | 0.5402          | 0.6818   |
| 0.3792        | 39.0  | 13260 | 0.4854          | 0.5      |
| 0.3789        | 40.0  | 13600 | 0.4971          | 0.5      |
| 0.3789        | 41.0  | 13940 | 0.5368          | 0.6803   |
| 0.3775        | 42.0  | 14280 | 0.4958          | 0.5047   |
| 0.3753        | 43.0  | 14620 | 0.5139          | 0.6897   |
| 0.3753        | 44.0  | 14960 | 0.5224          | 0.6834   |
| 0.3795        | 45.0  | 15300 | 0.5119          | 0.6865   |
| 0.3743        | 46.0  | 15640 | 0.5120          | 0.6740   |
| 0.3743        | 47.0  | 15980 | 0.5049          | 0.5204   |
| 0.3726        | 48.0  | 16320 | 0.5026          | 0.5      |
| 0.3683        | 49.0  | 16660 | 0.5137          | 0.6646   |
| 0.3707        | 50.0  | 17000 | 0.5088          | 0.6129   |
| 0.3707        | 51.0  | 17340 | 0.5608          | 0.6646   |
| 0.3654        | 52.0  | 17680 | 0.5217          | 0.6803   |
| 0.3684        | 53.0  | 18020 | 0.5236          | 0.6740   |
| 0.3684        | 54.0  | 18360 | 0.5135          | 0.5016   |
| 0.3663        | 55.0  | 18700 | 0.5192          | 0.6818   |
| 0.3669        | 56.0  | 19040 | 0.5212          | 0.6160   |
| 0.3669        | 57.0  | 19380 | 0.5320          | 0.6740   |
| 0.3641        | 58.0  | 19720 | 0.5344          | 0.6646   |
| 0.3628        | 59.0  | 20060 | 0.4991          | 0.5      |
| 0.3628        | 60.0  | 20400 | 0.5341          | 0.6661   |
| 0.3612        | 61.0  | 20740 | 0.5039          | 0.5      |
| 0.3608        | 62.0  | 21080 | 0.5267          | 0.6379   |
| 0.3608        | 63.0  | 21420 | 0.5249          | 0.6364   |
| 0.3599        | 64.0  | 21760 | 0.5226          | 0.6599   |
| 0.3616        | 65.0  | 22100 | 0.5370          | 0.6834   |
| 0.3616        | 66.0  | 22440 | 0.5109          | 0.5      |
| 0.3543        | 67.0  | 22780 | 0.5368          | 0.6740   |
| 0.3616        | 68.0  | 23120 | 0.5236          | 0.5690   |
| 0.3616        | 69.0  | 23460 | 0.5300          | 0.6693   |
| 0.3578        | 70.0  | 23800 | 0.5441          | 0.6583   |
| 0.3541        | 71.0  | 24140 | 0.5310          | 0.6724   |
| 0.3541        | 72.0  | 24480 | 0.5346          | 0.6693   |
| 0.354         | 73.0  | 24820 | 0.5338          | 0.6630   |
| 0.355         | 74.0  | 25160 | 0.5279          | 0.6599   |
| 0.3536        | 75.0  | 25500 | 0.5280          | 0.6552   |
| 0.3536        | 76.0  | 25840 | 0.5328          | 0.6693   |
| 0.3539        | 77.0  | 26180 | 0.5231          | 0.5376   |
| 0.3527        | 78.0  | 26520 | 0.5282          | 0.6646   |
| 0.3527        | 79.0  | 26860 | 0.5250          | 0.6364   |
| 0.3535        | 80.0  | 27200 | 0.5298          | 0.6771   |


### Framework versions

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