---
license: mit
base_model: roberta-base
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: roberta-base-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. -->

# roberta-base-finetuned-cola

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6004
- Matthews Correlation: 0.5841

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Matthews Correlation |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.4927        | 1.0   | 535  | 0.4375          | 0.5287               |
| 0.337         | 2.0   | 1070 | 0.5137          | 0.5656               |
| 0.2378        | 3.0   | 1605 | 0.6004          | 0.5841               |
| 0.1881        | 4.0   | 2140 | 0.9136          | 0.5736               |
| 0.1397        | 5.0   | 2675 | 0.8699          | 0.5829               |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2