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LayoutLMv2-FUNSD-ft – AI Model by Sennodipoi | AlphaNeural AI
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LayoutLMv2-FUNSD-ft
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transformers
pytorch
layoutlmv2
token-classification
autotrain_compatible
endpoints_compatible
us
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LayoutLMv2 fine-tuned on the FUNSD dataset. Code 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)
ANSWER
0.82
0.83
0.82
4e-4
HEADER
0.65
0.58
0.62
9e-4
QUESTION
0.87
0.83
0.85
3e-5
Micro avg
0.84
0.82
0.82
1e-4
Macro avg
0.79
0.75
0.76
4e-4
Weighted avg
0.84
0.82
0.82
1e-4
