| This model is used detecting **hatespeech** in **Indonesian language**. The mono in the name refers to the monolingual setting, where the model is trained using only Arabic language data. It is finetuned on multilingual bert model. | |
| The model is trained with different learning rates and the best validation score achieved is 0.844494 for a learning rate of 2e-5. Training code can be found 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](https://arxiv.org/abs/2004.06465)". 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} | |
| } | |
| ~~~ | |