---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: glue
      type: glue
      config: cola
      split: validation
      args: cola
    metrics:
    - name: Matthews Correlation
      type: matthews_correlation
      value: 0.5788207437251082
---

<!-- 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. -->

# bert-base-uncased-finetuned-cola

This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.2150
- Matthews Correlation: 0.5788

## 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: 1.1521858230688484e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 8

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.4531        | 1.0   | 1069 | 0.4530          | 0.5275               |
| 0.3349        | 2.0   | 2138 | 0.5377          | 0.5475               |
| 0.2624        | 3.0   | 3207 | 0.8287          | 0.5574               |
| 0.1903        | 4.0   | 4276 | 0.8971          | 0.5525               |
| 0.1356        | 5.0   | 5345 | 0.9994          | 0.5662               |
| 0.0861        | 6.0   | 6414 | 1.0434          | 0.5731               |
| 0.0576        | 7.0   | 7483 | 1.1683          | 0.5735               |
| 0.0504        | 8.0   | 8552 | 1.2150          | 0.5788               |


### Framework versions

- Transformers 4.28.1
- Pytorch 2.0.0+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3