This model is used detecting abusive speech in Devanagari Hindi. It is finetuned on MuRIL model using Hindi abusive speech dataset. The model is trained with learning rates of 2e-5. Training code can be found at this url
LABEL_0 :-> Normal
LABEL_1 :-> Abusive
For more details about our paper
Mithun Das, Somnath Banerjee and Animesh Mukherjee. "Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages". Accepted at ACM HT 2022.
Please cite our paper in any published work that uses any of these resources.
@article{das2022data,
title={Data Bootstrapping Approaches to Improve Low Resource Abusive Language Detection for Indic Languages},
author={Das, Mithun and Banerjee, Somnath and Mukherjee, Animesh},
journal={arXiv preprint arXiv:2204.12543},
year={2022}
}