---
license: mit
base_model: mrm8488/deberta-v3-small-finetuned-sst2
tags:
- generated_from_trainer
metrics:
- matthews_correlation
model-index:
- name: deberta-v3-small-finetuned-sst2-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. -->

# deberta-v3-small-finetuned-sst2-finetuned-cola

This model is a fine-tuned version of [mrm8488/deberta-v3-small-finetuned-sst2](https://huggingface.co/mrm8488/deberta-v3-small-finetuned-sst2) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6941
- Matthews Correlation: 0.1319

## 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 |
|:-------------:|:-----:|:----:|:---------------:|:--------------------:|
| 0.6105        | 1.0   | 535  | 0.6169          | 0.0                  |
| 0.6054        | 2.0   | 1070 | 0.6131          | 0.0315               |
| 0.5652        | 3.0   | 1605 | 0.6219          | 0.0802               |
| 0.5163        | 4.0   | 2140 | 0.6941          | 0.1319               |
| 0.4718        | 5.0   | 2675 | 0.7269          | 0.1110               |


### Framework versions

- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2