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| Label | Description |
|---|---|
racial | Racial / ethnic bias |
gender | Gender stereotyping |
religious | Religious discrimination |
age | Ageism |
sexual_orientation | Sexual orientation bias |
| Metric | Score |
|---|---|
| F1 Macro | 0.2678 |
| F1 Micro | 0.6810 |
| ROC-AUC Macro | 0.0000 |
| CrowS-Pairs Accuracy | 0.0000 |
| StereoSet Score | 0.4900 |
1from transformers import pipeline
2classifier = pipeline("text-classification",
3 model="guisalim/distilbert-bias-classifier",
4 top_k=None)
5print(classifier("Search query here"))distilbert-base-uncased