AsyiraFitri commited on
Commit
e6d0ed4
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1 Parent(s): 63b3a89

included the remaining embeddings that wasnt pushed previously

Browse files
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tabacco3482_benchmarks/embeddings/train_labels.npy ADDED
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tabacco3482_benchmarks/figures/layoutlmv3/result_analysis_layoutlmv3.md CHANGED
@@ -180,7 +180,7 @@ Both Large OCR and Large OCR + center achieve 0% error on Resume. The two-column
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  Comparing Base (40.03% kNN@1) with Large (61.84%) shows a 21.8 pp gain from scaling. But comparing Large (61.84%) with Large OCR (79.77%) shows a 17.9 pp gain just from enabling OCR text — comparable to the full Base→Large scale-up. For a text-rich dataset like Tobacco-3482, OCR integration is at least as valuable as model scale.
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  ### Bad Cases Visualisation
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- → [Bad Cases Top10 Visualisation](badcases/)
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  ---
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  ## 3. Recommendations
 
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  Comparing Base (40.03% kNN@1) with Large (61.84%) shows a 21.8 pp gain from scaling. But comparing Large (61.84%) with Large OCR (79.77%) shows a 17.9 pp gain just from enabling OCR text — comparable to the full Base→Large scale-up. For a text-rich dataset like Tobacco-3482, OCR integration is at least as valuable as model scale.
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  ### Bad Cases Visualisation
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+ → [ Large Bad Cases Top10 Visualisation](badcases/)
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  ---
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  ## 3. Recommendations