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Create README.md

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+ Based on microsoft/deberta-v3-base, finetuned on a synthetic dataset (6 labels).
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+ Performance on test dataset:
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+ precision recall f1-score support
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+ 0 0.56 0.73 0.63 26
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+ 1 0.70 1.00 0.82 28
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+ 2 0.68 0.53 0.60 32
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+ 3 0.97 1.00 0.99 33
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+ 4 1.00 0.97 0.98 33
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+ 5 0.52 0.33 0.41 36
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+ accuracy 0.75 188
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+ macro avg 0.74 0.76 0.74 188
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+ weighted avg 0.74 0.75 0.74 188
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+ Performance on similar benchmark