Dehatebert Mono English

🚀 English Monolingual Hate Speech Detection Model

This model is designed to detect hatespeech in the English language. The "mono" in its name indicates a monolingual setting, where the model is trained solely on English language data. It is a fine - tuned version of a multilingual BERT model.

The model was trained with various learning rates, and the best validation score of 0.726030 was achieved at a learning rate of 2e - 5. You can find the training code here.

📚 Documentation

For more details about our paper

Sai Saketh Aluru, Binny Mathew, Punyajoy Saha and Animesh Mukherjee. "Deep Learning Models for Multilingual Hate Speech Detection". Accepted at ECML - PKDD 2020.

Please cite our paper in any published work that uses any of these resources.

@article{aluru2020deep,
  title={Deep Learning Models for Multilingual Hate Speech Detection},
  author={Aluru, Sai Saket and Mathew, Binny and Saha, Punyajoy and Mukherjee, Animesh},
  journal={arXiv preprint arXiv:2004.06465},
  year={2020}
}

📄 License

This project is licensed under the Apache 2.0 license.