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Based on microsoft/deberta-v3-base, finetuned on a synthetic dataset (6 labels were converted to 3 labels).

Performance on test dataset: precision recall f1-score support

       0       0.98      0.99      0.98        94
       1       0.96      0.96      0.96        28
       2       1.00      0.98      0.99        66

accuracy                           0.98       188

macro avg 0.98 0.98 0.98 188

weighted avg 0.98 0.98 0.98 188

Performance on similar benchmark: precision recall f1-score support

       0       0.13      0.52      0.21        23
       1       0.44      0.15      0.22        75
       2       0.00      0.00      0.00        19

accuracy                           0.20       117

macro avg 0.19 0.22 0.14 117

weighted avg 0.31 0.20 0.18 117

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