---
language: en
tags:
- text classification
- hate speech
- offensive language
- hatecheck
datasets:
- unhcr-hatespeech
metrics:
- f1
- hatecheck
---

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

```python
{
  0: "Normal",
  1: "Offensive",
  2: "Hate speech",
}
```