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LayoutLMv2 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)
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LayoutLMv2 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).
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Results obtained with seqeval in strict mode:
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| | Precision | Recall | F1-Score | Variance (F1) |
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|--------------------|--------------|-----------|-------------|------------------|
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| EFFECTIVE _DATE | 0.69 | 0.77 | 0.72 | 4e-4 |
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| JURISDICTION | 0.90 | 0.87 | 0.88 | 1e-4 |
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| PARTY | 0.73 | 0.87 | 0.79 | 8e-5 |
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| TERM | 0.76 | 0.63 | 0.68 | 2e-3 |
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| Micro avg | 0.76 | 0.85 | 0.80 | 1e-4 |
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| Macro avg | 0.76 | 0.78 | 0.77 | 4e-4 |
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| Weighted avg | 0.77 | 0.85 | 0.80 | 1e-4 |
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