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- classification
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##
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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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| 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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- classification
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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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| 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
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