---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
base_model: bert-base-cased
model-index:
- name: bert-fine-tuned-cola
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      args: cola
    metrics:
    - type: matthews_correlation
      value: 0.5959186748524787
      name: Matthews Correlation
---

<!-- 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-fine-tuned-cola

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8068
- Matthews Correlation: 0.5959

## 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: 2e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.4838        | 1.0   | 1069 | 0.5996          | 0.4637               |
| 0.3543        | 2.0   | 2138 | 0.6670          | 0.5778               |
| 0.1948        | 3.0   | 3207 | 0.8068          | 0.5959               |


### Framework versions

- Transformers 4.13.0.dev0
- Pytorch 1.9.1+cu102
- Datasets 1.13.4.dev0
- Tokenizers 0.10.3