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--- |
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datasets: |
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- vishnun/CodevsNL |
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language: |
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- en |
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metrics: |
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- accuracy |
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library_name: transformers |
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tags: |
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- nlp |
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- code |
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- classification |
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--- |
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## PreFace |
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Code vs Natural language classification using bert-small from prajwall, below are the metrics achieved |
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## Training Metrics |
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| Epoch | Training Loss | Validation Loss | Accuracy | | |
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|------:|--------------:|----------------:|---------:|---| |
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| 1 | 0.022500 | 0.012705 | 0.997203 | | |
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| 2 | 0.008700 | 0.013107 | 0.996880 | | |
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| 3 | 0.002700 | 0.014081 | 0.997633 | | |
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| 4 | 0.001800 | 0.010666 | 0.997526 | | |
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| 5 | 0.000900 | 0.010800 | 0.998063 | | |
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## More |
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- Github repo for installable python package: https://github.com/Vishnunkumar |
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- Space on the extraction of code blocks from screenshots: https://huggingface.co/spaces/vishnun/SnapCode |
