---
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: bert-base-cased
  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: 0.5757702121003263
---

<!-- 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-cased

This model was trained from scratch on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0491
- Matthews Correlation: 0.5758

## 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-06
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.1532        | 1.0   | 535  | 0.9255          | 0.5757               |
| 0.1194        | 2.0   | 1070 | 0.9947          | 0.5653               |
| 0.098         | 3.0   | 1605 | 0.9838          | 0.5771               |
| 0.0915        | 4.0   | 2140 | 1.0381          | 0.5758               |
| 0.0857        | 5.0   | 2675 | 1.0491          | 0.5758               |


### Framework versions

- Transformers 4.33.2
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.13.3