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Based on svenbl80/deberta-v3-Base-finetuned-mnli finetuned on a synthetic dataset (3 labels, real-estate + berechtigungsmanagement)
Performance on test dataset:
precision recall f1-score support
0 1.00 0.93 0.96 42
1 0.94 0.97 0.95 76
2 0.98 0.98 0.98 114
accuracy 0.97 232
macro avg 0.97 0.96 0.97 232
weighted avg 0.97 0.97 0.97 232
Performance on real estate test dataset alone: precision recall f1-score support
0 1.00 0.83 0.91 18
1 0.73 1.00 0.85 11
2 1.00 0.94 0.97 16
accuracy 0.91 45
macro avg 0.91 0.92 0.91 45
weighted avg 0.93 0.91 0.91 45
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