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@@ -68,10 +68,10 @@ It achieves the following results on the evaluation set:
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  - F1 Binary Minimum3: 0.7282
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  - F1 Binary Minimum2: 0.9673
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- While the macro F1 scores across the 1-5 rating scale are relatively low due to the model's difficulty in distinguishing between higher-rated samples, the classifier performs well for our primary filtering task. When converting to binary classification, using a threshold of 2 achieves the F1 scores ranges between 0.8 and 0.9 for most Stack-Edu classifiers, whereas a threshold of 3 yields F1 scores between 0.5 and 0.8. With the Highest being Python, SQL, C, Rust and the lowest being TypeScript and PHP.
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  <div style="display: flex; justify-content: center; gap: 20px;">
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- <img src="https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/VYh1deFc8Jif7B4kDpndc.png" width="600">
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  </div>
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  We validated these classifiers by filtering Stack v2 data and testing on an intermediate SmolLM2 checkpoint. Filtering with a threshold of 3 improved performance across most languages while maintaining adequate data volume, though Java showed better results with a threshold of 2.
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  We didn't do an evaluation on Markdown, but based on manual inspection we found threshold 3 to be good at filtering low quality content.
 
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  - F1 Binary Minimum3: 0.7282
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  - F1 Binary Minimum2: 0.9673
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+ While the macro F1 scores across the 1-5 rating scale are relatively low due to the model's difficulty in distinguishing between higher-rated samples, the classifier performs well for our primary filtering task. When converting to binary classification, using a threshold of 2 achieves the F1 scores ranges between 0.8 and 0.9 for most Stack-Edu classifiers, whereas a threshold of 3 yields F1 scores between 0.5 and 0.8. With the Highest being Python, SQL, C, Rust and the lowest being HTML, TypeScript and C#.
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  <div style="display: flex; justify-content: center; gap: 20px;">
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+ <img src="https://cdn-uploads.huggingface.co/production/uploads/61c141342aac764ce1654e43/06siAXeIRjJGnlPehW562.png" width="600">
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  </div>
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  We validated these classifiers by filtering Stack v2 data and testing on an intermediate SmolLM2 checkpoint. Filtering with a threshold of 3 improved performance across most languages while maintaining adequate data volume, though Java showed better results with a threshold of 2.
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  We didn't do an evaluation on Markdown, but based on manual inspection we found threshold 3 to be good at filtering low quality content.