---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- nyu-mll/glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola
  results:
  - task:
      type: text-classification
      name: Text Classification
    dataset:
      name: glue
      type: glue
      args: cola
    metrics:
    - type: matthews_correlation
      value: 0.5905946625710334
      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-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: 0.7445
- Matthews Correlation: 0.5906

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.4926        | 1.0   | 535  | 0.5155          | 0.4941               |
| 0.2971        | 2.0   | 1070 | 0.5561          | 0.5320               |
| 0.1947        | 3.0   | 1605 | 0.7230          | 0.5677               |
| 0.1293        | 4.0   | 2140 | 0.7445          | 0.5906               |
| 0.0867        | 5.0   | 2675 | 0.8836          | 0.5788               |


### Framework versions

- Transformers 4.18.0
- Pytorch 1.10.0+cu111
- Datasets 2.1.0
- Tokenizers 0.12.1