Based on svenbl80/deberta-v3-Base-finetuned-mnli finetuned on a synthetic dataset (labels)

Performance on test dataset:
              precision    recall  f1-score   support

           0       0.99      1.00      0.99        94
           1       1.00      1.00      1.00        28
           2       1.00      0.98      0.99        66

    accuracy                           0.99       188
    macro avg       1.00      0.99      1.00       188
    weighted avg       0.99      0.99      0.99       188


Performance on real estate benchmark:
              precision    recall  f1-score   support

           0       0.30      0.45      0.36       100
           1       0.21      0.15      0.18       100
           2       0.35      0.27      0.31       100

    accuracy                           0.29       300
    macro avg       0.29      0.29      0.28       300
    weighted avg       0.29      0.29      0.28       300


Baseline (svenbl80/deberta-v3-Base-finetuned-mnli) for real estate benchmark:


           0       0.89      0.68      0.77       100
           1       0.63      0.92      0.75       100
           2       0.88      0.69      0.78       100

    accuracy                           0.76       300
    macro avg       0.80      0.76      0.77       300
    weighted avg       0.80      0.76      0.77       300