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- Precision: 0.8584
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- Recall: 0.8584
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- F1: 0.8584
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- Accuracy: 0.8584
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## References
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- Precision: 0.8584
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- Recall: 0.8584
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- F1: 0.8584
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- Tokens Accuracy: 0.8584
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- Line Accuracy: 0.9197
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## Accuracy at line level
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- Line Accuracy: 91.97%
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- Accuracy by label
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- Caption: 79.42%
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- Footnote: 68.21%
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- Formula: 98.02%
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- List-item: 82.72%
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- Page-footer: 99.17%
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- Page-header: 84.18%
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- Picture: 83.2%
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- Section-header: 76.92%
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- Table: 97.65%
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- Text: 91.17%
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- Title: 77.46%
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![Lines 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-linelevel-ml384/resolve/main/docs/lines_labels_accuracy_DocLayNet_base_test_LiLT_base_line_level_384.png)
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![Confusion matrix of the labeled lines 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-linelevel-ml384/resolve/main/docs/confusion_matrix_labeled_lines_DocLayNet_base_test_LiLT_base_line_level_384.png)
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## References
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