---
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-uncased-finetuned-cola-batch-8
  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: 0.5909903281139832
---

<!-- 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-8

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: 0.6364
- Matthews Correlation: 0.5910

## 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: 10

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:-----:|:---------------:|:--------------------:|
| 0.4737        | 1.0   | 1069  | 0.6579          | 0.4918               |
| 0.3331        | 2.0   | 2138  | 0.6364          | 0.5910               |
| 0.2223        | 3.0   | 3207  | 0.8108          | 0.5658               |
| 0.1445        | 4.0   | 4276  | 0.9036          | 0.5832               |
| 0.0841        | 5.0   | 5345  | 1.0537          | 0.5727               |
| 0.0634        | 6.0   | 6414  | 1.2565          | 0.5763               |
| 0.0384        | 7.0   | 7483  | 1.2944          | 0.5881               |
| 0.0278        | 8.0   | 8552  | 1.3246          | 0.5902               |
| 0.0251        | 9.0   | 9621  | 1.4406          | 0.5651               |
| 0.0091        | 10.0  | 10690 | 1.4599          | 0.5685               |


### Framework versions

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