---
library_name: transformers
license: apache-2.0
base_model: bert-base-cased
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: bert-fine-tuned-cola
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# bert-fine-tuned-cola

This model is a fine-tuned version of [bert-base-cased](https://huggingface.co/bert-base-cased) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.8694
- Matthews Correlation: 0.5705

## 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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.46          | 1.0   | 1069 | 0.4515          | 0.5050               |
| 0.3138        | 2.0   | 2138 | 0.6163          | 0.5737               |
| 0.1809        | 3.0   | 3207 | 0.8694          | 0.5705               |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.6.0
- Datasets 3.2.0
- Tokenizers 0.21.0