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