HindBERT-Scratch
HindBERT is a Hindi BERT model. It is a base-BERT model trained from scratch on publicly available Hindi monolingual datasets. [project link] (https://github.com/l3cube-pune/MarathiNLP)
More details on the dataset, models, and baseline results can be found in our [paper] ( link )
The best version of model is shared here
Citing:
@article{joshi2022l3cubehind,
author = {Joshi, Raviraj},
year = {2022},
month = {09},
pages = {},
title = {L3Cube-HindBERT and DevBERT: Pre-Trained BERT Transformer models for Devanagari based Hindi and Marathi Languages},
doi = {10.13140/RG.2.2.14606.84809}
}
Other Models trained from scratch are listed below:
Marathi-Scratch
Marathi-Tweets-Scratch
Hindi-Scratch
Dev-Scratch
Kannada-Scratch
Telugu-Scratch
Malayalam-Scratch
Gujarati-Scratch
Better versions of Monolingual Indic BERT models are listed below:
Marathi BERT
Marathi RoBERTa
Marathi AlBERT
Hindi BERT
Hindi RoBERTa
Hindi AlBERT
Dev BERT
Dev RoBERTa
Dev AlBERT
Kannada BERT
Telugu BERT
Malayalam BERT
Tamil BERT
Gujarati BERT
Oriya BERT
Bengali BERT
Punjabi BERT
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