Model Card
Debaised Granite 3.2 8B model. Results are measured on the BBQ dataset.
Bias results:
Race: Reduced from 8.2% to 3.8% (approximately 53.7% reduction)
Nationality: Reduced from 20.6% to 17.8% (approximately 20.6% reduction)
Gender: Reduced from 19.7% to 11.2% (approximately 43.2% reduction)
Physical: Reduced from 13.5% to 10.1% (approximately 25.2% reduction)
Correcteness scores:
Race Bias: The Original model scored 94.4%, and the Debiased model obtained 88.6%, amounting to a decrease of approximately 6.2%.
Nationality Bias: The Original model reached an accuracy of 85.9%, compared to 77.8% for the Debiased model. This is a decrease of roughly 9.4%.
Gender Bias: The Original model achieved an accuracy of 78.4%, while the Debiased model scored 72.7%. This represents a decrease of approximately 7.3%.
Physical Bias: The Original model had an accuracy of 83.8%, whereas the Debiased model achieved 78.4%. This indicates a decrease of about 6.5%.
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