Dehatebert Mono Polish

🚀 Polish Hate Speech Detection Model

This model is designed to detect hatespeech in the Polish language. It is finetuned on a multilingual BERT model and trained with English data in a monolingual setting.

🚀 Quick Start

This model is used for detecting hatespeech in the Polish language. The "mono" in the name indicates the monolingual setting, where the model is trained using only English language data. It is finetuned on a multilingual BERT model.

The model is trained with different learning rates, and the best validation score achieved is 0.723254 for a learning rate of 2e-5. The training code can be found at this url.

📚 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.