---
license: mit
base_model: gpt2
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: gpt2-finetuned-cola
  results: []
---

<!-- 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. -->

# gpt2-finetuned-cola

This model is a fine-tuned version of [gpt2](https://huggingface.co/gpt2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3976
- Matthews Correlation: 0.4246

## 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: 10

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.3796        | 1.0   | 535  | 0.6729          | 0.3501               |
| 0.2829        | 2.0   | 1070 | 0.7611          | 0.3694               |
| 0.2215        | 3.0   | 1605 | 1.1312          | 0.3581               |
| 0.1993        | 4.0   | 2140 | 1.1153          | 0.3573               |
| 0.2185        | 5.0   | 2675 | 0.9811          | 0.4067               |
| 0.2188        | 6.0   | 3210 | 1.0690          | 0.4195               |
| 0.1921        | 7.0   | 3745 | 1.0713          | 0.3847               |
| 0.1642        | 8.0   | 4280 | 1.3494          | 0.4106               |
| 0.1585        | 9.0   | 4815 | 1.3976          | 0.4246               |
| 0.136         | 10.0  | 5350 | 1.4390          | 0.4158               |


### Framework versions

- Transformers 4.44.0
- Pytorch 2.4.0
- Datasets 2.21.0
- Tokenizers 0.19.1