Dehatebert Mono Spanish

🚀 Spanish Hate Speech Detection Model

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

🚀 Quick Start

This model is used for detecting hatespeech in Spanish. It offers a reliable solution for identifying offensive language in the Spanish context.

✨ Features

• Monolingual Training: Trained with English data, which provides a solid foundation for language understanding.
• Fine - Tuned on BERT: Leveraging the power of a multilingual BERT model to enhance performance.
• Optimized Learning Rate: Trained with different learning rates, achieving a best validation score of 0.740287 at a learning rate of 3e - 5.

📚 Documentation

The model is trained with various learning rates, and the best validation score of 0.740287 is obtained when the learning rate is set to 3e - 5. You can find the training code at this [url](https://github.com/punyajoy/DE - LIMIT).

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.