| --- |
| license: mit |
| datasets: |
| - vishnun/CodevsNL |
| language: |
| - en |
| metrics: |
| - accuracy |
| library_name: transformers |
| pipeline_tag: text-classification |
| tags: |
| - code |
| - nli |
| --- |
| |
| ## 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 |
|
|
