Edit model card

This model is used detecting abusive speech in English. It is finetuned on MuRIL model using English 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}
}
Downloads last month
5,250
Safetensors
Model size
238M params
Tensor type
I64
ยท
F32
ยท
Inference Examples
This model does not have enough activity to be deployed to Inference API (serverless) yet. Increase its social visibility and check back later, or deploy to Inference Endpoints (dedicated) instead.

Spaces using Hate-speech-CNERG/english-abusive-MuRIL 2