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Hate-speech-CNERG/dehatebert-mono-polish
dehatebert-mono-polish is a text classification model from Hate-speech-CNERG. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
This model is used detecting hatespeech in Polish language. The mono in the name refers to the monolingual setting, where the model is trained using only English language data. It is finetuned on multilingual bert mod…
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From the Hugging Face model README
This model is used detecting hatespeech in Polish language. The mono in the name refers to the monolingual setting, where the model is trained using only English language data. It is finetuned on multilingual bert model. The model is trained with different learning rates and the best validation score achieved is 0.723254 for a learning rate of 2e-5. Training code can be found at this url
Sai Saketh Aluru, Binny Mathew, Punyajoy Saha and Animesh Mukherjee. "Deep Learning Models for Multilingual Hate Speech Detection". 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}
}