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hatespeech-refugees
henrystoll/hatespeech-refugees
hatespeech-refugees is a text classification model from henrystoll. Use it when you need a label for a piece of text. It is set up for transformers.
Frederik Gaasdal Jensen • Henry Stoll • Sippo Rossi • Raghava Rao Mukkamala
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Repo size
997 MB
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2
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.bin499 MB · 99%
At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- roberta
- Access
- Public
- Created
- Aug 4, 2023
- Updated
- Aug 4, 2023
- SHA
- 5f03f3da
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Datasets
Model card
From the Hugging Face model README
Frederik Gaasdal Jensen • Henry Stoll • Sippo Rossi • Raghava Rao Mukkamala
UNHCR Hate Speech Detection Model
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.
The model has been developed as a collaboration between UNHCR, the UN Refugee Agency, and Copenhagen Business School.
- F1-score on test set (10% of the overall dataset): 81%
- Hatecheck score: 90.3%
Labels
{
0: "Normal",
1: "Offensive",
2: "Hate speech",
}
- Task
- Text Classification
- Library
- transformers
- Type
- roberta
- Languages
- en
- Created
- Aug 4, 2023
- Updated
- Aug 4, 2023