---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-batch-32
  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: 0.5927736326773501
---

<!-- 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-batch-32

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: 0.8835
- Matthews Correlation: 0.5928

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| No log        | 1.0   | 268  | 0.5093          | 0.5049               |
| 0.4202        | 2.0   | 536  | 0.4633          | 0.5600               |
| 0.4202        | 3.0   | 804  | 0.5369          | 0.5393               |
| 0.1814        | 4.0   | 1072 | 0.6271          | 0.5605               |
| 0.1814        | 5.0   | 1340 | 0.7427          | 0.5662               |
| 0.0947        | 6.0   | 1608 | 0.7794          | 0.5697               |
| 0.0947        | 7.0   | 1876 | 0.8835          | 0.5928               |
| 0.0566        | 8.0   | 2144 | 1.0182          | 0.5751               |
| 0.0566        | 9.0   | 2412 | 1.1300          | 0.5549               |
| 0.0296        | 10.0  | 2680 | 1.1266          | 0.5704               |


### Framework versions

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