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LayoutLMv3 fine-tuned on the FUNSD dataset. Code and results are available at the official GitHub repository of my Master Degree thesis .

Results obtained using seqeval in strict mode:

	Precision	Recall	F1-score	Variance (F1)
Answer	0.90	0.91	0.90	3e-5
Header	0.61	0.66	0.63	4e-4
Question	0.88	0.87	0.88	1e-4
Micro avg	0.87	0.88	0.87	3e-5
Macro avg	0.79	0.82	0.80	3e-5
Weighted avg	0.87	0.88	0.87	3e-5

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