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  - classification
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  ---
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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
@@ -24,4 +24,9 @@ Code vs Natural language classification using bert-small from prajwall, below ar
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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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  ---
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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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+
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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