
This model is used to detect **abusive speech** in **Code-Mixed Kannada**. It is finetuned on MuRIL model using Code-Mixed Kannada abusive speech dataset.
The model is trained with learning rates of 2e-5. Training code can be found at this [url](https://github.com/hate-alert/IndicAbusive)

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](https://arxiv.org/abs/2204.12543)". 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}
}
~~~
{"language": "ka-en", "license": "afl-3.0"}
transformers pytorch bert text-classification arxiv:2204.12543 license:afl-3.0 autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #bert #text-classification #arxiv-2204.12543 #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 


This model is used to detect abusive speech in Code-Mixed Kannada. It is finetuned on MuRIL model using Code-Mixed Kannada 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}
}
~~~
### 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}
}
~~~
TAGS
#transformers #pytorch #bert #text-classification #arxiv-2204.12543 #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
 ### 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}
}
~~~
passage: TAGS
#transformers #pytorch #bert #text-classification #arxiv-2204.12543 #license-afl-3.0 #autotrain_compatible #endpoints_compatible #region-us 
### 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}
}
~~~