---
license: mit
tags:
- generated_from_trainer
datasets:
- glue
metrics:
- matthews_correlation
model-index:
- name: roberta-base-finetuned-cola-hps
  results:
  - task:
      name: Text Classification
      type: text-classification
    dataset:
      name: glue
      type: glue
      args: cola
    metrics:
    - name: Matthews Correlation
      type: matthews_correlation
      value: 0.4499152516617143
---

<!-- 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-hps

This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the glue dataset.
It achieves the following results on the evaluation set:
- Loss: 1.4407
- Matthews Correlation: 0.4499

## 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: 3.1634762591825634e-05
- train_batch_size: 8
- eval_batch_size: 16
- seed: 35
- 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| No log        | 1.0   | 107  | 0.5371          | 0.4037               |
| No log        | 2.0   | 214  | 0.8207          | 0.3212               |
| No log        | 3.0   | 321  | 1.1269          | 0.4613               |
| No log        | 4.0   | 428  | 1.2901          | 0.4852               |
| 0.341         | 5.0   | 535  | 1.4407          | 0.4499               |


### Framework versions

- Transformers 4.16.2
- Pytorch 2.2.1+cu121
- Datasets 1.16.1
- Tokenizers 0.19.1