metadata
language: hi-en
license: afl-3.0
This model is used detecting abusive speech in Code-Mixed Hindi. It is finetuned on MuRIL model using code-mixed hindi abusive speech dataset. The model is trained with learning rates of 2e-5. Training code can be found at this url
For more details about our paper
@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} }
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}
}