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README.md

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-LayoutLMv3 fine-tuned on the Kleister-NDA dataset. Code (including pre-processing) and results are available at the official GitHub repository of my [Master Degree thesis ](https://github.com/AleRosae/thesis-layoutlm)
+LayoutLMv3 fine-tuned on the Kleister-NDA dataset. Code (including pre-processing) and results are available at the official GitHub repository of my [Master Degree thesis ](https://github.com/AleRosae/thesis-layoutlm).
+
+Results obtained with seqeval in strict mode:
+
+
+|                | Precision | Recall | F1-score | Variance (F1) |
+|----------------|-----------|--------|----------|---------------|
+| EFFECTIVE_DATE | 0.92      | 0.99   | 0.95     | 5e-5          |
+| JURISDICTION   | 0.87      | 0.88   | 0.88     | 8e-6          |
+| PARTY          | 0.92      | 0.99   | 0.95     | 5e-5          |
+| TERM           | 1         | 1      | 1        | 0             |
+| Micro avg      | 0.91      | 0.96   | 0.94     | 2e-5          |
+| Macro avg      | 0.92      | 0.96   | 0.94     | 3e-7          |
+| Weighted avg   | 0.91      | 0.96   | 0.94     | 2e-5          |
+
+Since I used the same segmentation strategy of the original paper i.e. using the labels to create segments, the scores are not directly comparable with the other LayoutLM versions.