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lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512

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pierreguillou commited on Apr 23, 2023

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@@ -81,10 +81,9 @@ It achieves the following results on the evaluation set:
   - Text: 86.78%
   - Title: 0.0%
-![Paragraphs labels vs accuracy (%) of the dataset DocLayNet base of test (model: LayoutXLM base finetuned on DocLayNet base))](https://huggingface.co/pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512/resolve/main/docs/paragraphs_labels_accuracy_DocLayNet_base_test_LayoutXLM_base_paragraph_level_512.png)
-![Confusion matrix of the labeled blocks of the dataset DocLayNet base of test (model: LayoutXLM base finetuned on DocLayNet base)](https://huggingface.co/pierreguillou/layout-xlm-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512/resolve/main/docs/confusion_matrix_labeled_paragraphs_DocLayNet_base_test_LayoutXLM_base_paragraph_level_512.png)
 ## References

   - Text: 86.78%
   - Title: 0.0%
+![Paragraphs labels vs accuracy (%) of the dataset DocLayNet base of test (model: LiLT base finetuned on DocLayNet base))](https://huggingface.co/pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512/resolve/main/docs/paragraphs_labels_accuracy_DocLayNet_base_test_LiLT_base_paragraph_level_512.png)
+![Confusion matrix of the labeled blocks of the dataset DocLayNet base of test (model: LiLT base finetuned on DocLayNet base)](https://huggingface.co/pierreguillou/lilt-xlm-roberta-base-finetuned-with-DocLayNet-base-at-paragraphlevel-ml512/resolve/main/docs/confusion_matrix_labeled_paragraphs_DocLayNet_base_test_LiLT_base_paragraph_level_512.png)
 ## References