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Create README.md

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+ Based on microsoft/deberta-v3-base, finetuned on a synthetic dataset (6 labels were converted to 3 labels).
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+ Performance on test dataset:
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+ precision recall f1-score support
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+ 0 0.98 0.99 0.98 94
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+ 1 0.96 0.96 0.96 28
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+ 2 1.00 0.98 0.99 66
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+ accuracy 0.98 188
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+ macro avg 0.98 0.98 0.98 188
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+ weighted avg 0.98 0.98 0.98 188
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+ Performance on similar benchmark:
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+ precision recall f1-score support
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+
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+ 0 0.13 0.52 0.21 23
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+ 1 0.44 0.15 0.22 75
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+ 2 0.00 0.00 0.00 19
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+ accuracy 0.20 117
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+ macro avg 0.19 0.22 0.14 117
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+
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+ weighted avg 0.31 0.20 0.18 117
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