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README.md
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@@ -65,25 +65,24 @@ It achieves the following results on the evaluation set:
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## Accuracy at paragraph level
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
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Accuracy by label
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- Caption: 63.76%
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- Footnote: 31.91%
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- Formula: 95.33%
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- List-item: 79.31%
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- Page-footer: 99.51%
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- Page-header: 88.75%
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- Picture: 90.91%
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- Section-header: 83.16%
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- Table: 68.25%
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- Text: 91.37%
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- Title: 50.0%
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## References
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### Other models
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## Accuracy at paragraph level
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- Paragraph Accuracy: 86.55%
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- Accuracy by label
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- Caption: 63.76%
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- Footnote: 31.91%
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- Formula: 95.33%
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- List-item: 79.31%
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- Page-footer: 99.51%
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- Page-header: 88.75%
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- Picture: 90.91%
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- Section-header: 83.16%
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- Table: 68.25%
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- Text: 91.37%
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- Title: 50.0%
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
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
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## References
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### Other models
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