---
datasets:
- vishnun/CodevsNL
language:
- en
metrics:
- accuracy

library_name: transformers
tags:
- nlp
- code
- classification
---

## PreFace
Code vs Natural language classification using bert-small from prajwall, below are the metrics achieved

## Training Metrics

| Epoch | Training Loss | Validation Loss | Accuracy |   |
|------:|--------------:|----------------:|---------:|---|
|     1 |      0.022500 |        0.012705 | 0.997203 |   |
|     2 |      0.008700 |        0.013107 | 0.996880 |   |
|     3 |      0.002700 |        0.014081 | 0.997633 |   |
|     4 |      0.001800 |        0.010666 | 0.997526 |   |
|     5 |      0.000900 |        0.010800 | 0.998063 |   |

## More

- Github repo for installable python package: https://github.com/Vishnunkumar
- Space on the extraction of code blocks from screenshots: https://huggingface.co/spaces/vishnun/SnapCode