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LayoutLMv1 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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LayoutLMv1 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 | 0.87 | 0.51 | 0.64 | 2e-6 |
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| JURISDICTION | 0.75 | 0.84 | 0.80 | 4e-7 |
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| PARTY | 0.84 | 0.71 | 0.77 | 9e-6 |
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| TERM | 0.69 | 0.51 | 0.58 | 1e-3 |
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| Micro avg | 0.81 | 0.72 | 0.77 | 2e-6 |
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| Macro avg | 0.79 | 0.65 | 0.70 | 9e-5 |
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| Weighted avg | 0.82 | 0.73 | 0.76 | 3e-6 |
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