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--- |
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language: en |
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tags: |
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- text classification |
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- hate speech |
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- offensive language |
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- hatecheck |
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datasets: |
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- unhcr-hatespeech |
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metrics: |
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- f1 |
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- hatecheck |
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--- |
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Frederik Gaasdal Jensen • Henry Stoll • Sippo Rossi • Raghava Rao Mukkamala |
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# UNHCR Hate Speech Detection Model |
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This is a transformer model that can detect hate and offensive speech for English text. The primary use-case of this model is to detect hate speech targeted at refugees. The model is based on *roberta-uncased* and was fine-tuned on 12 abusive language datasets. |
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The model has been developed as a collaboration between UNHCR, the UN Refugee Agency, and Copenhagen Business School. |
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- F1-score on test set (10% of the overall dataset): 81% |
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- Hatecheck score: 90.3% |
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## Labels |
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```python |
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{ |
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0: "Normal", |
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1: "Offensive", |
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2: "Hate speech", |
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} |
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``` |
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