Sennodipoi/LayoutLMv2-kleisterNDA

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 .

Results obtained with seqeval in strict mode:

	Precision	Recall	F1-Score	Variance (F1)
EFFECTIVE _DATE	0.69	0.77	0.72	4e-4
JURISDICTION	0.90	0.87	0.88	1e-4
PARTY	0.73	0.87	0.79	8e-5
TERM	0.76	0.63	0.68	2e-3
Micro avg	0.76	0.85	0.80	1e-4
Macro avg	0.76	0.78	0.77	4e-4
Weighted avg	0.77	0.85	0.80	1e-4