l3cube-pune / marathi-topic-short-doc

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Total runs: 17
24-hour runs: 4
7-day runs: 5
30-day runs: 9
Model's Last Updated: April 29 2024
text-classification

Introduction of marathi-topic-short-doc

Model Details of marathi-topic-short-doc

MahaNews-SHC-BERT

MahaNews-SHC-BERT is a MahaBERT( l3cube-pune/marathi-bert-v2 ) model fine-tuned on full L3Cube-MahaNews-SHC Corpus, a Marathi short text / news headlines classification dataset.
It is a topic identification cum short text classification model with 12 output categories
[dataset link] ( https://github.com/l3cube-pune/MarathiNLP )

More details on the dataset, models, and baseline results can be found in our [paper] (coming soon)
Citing:

@inproceedings{mittal2023l3cube,
  title={L3Cube-MahaNews: News-Based Short Text and Long Document Classification Datasets in Marathi},
  author={Mittal, Saloni and Magdum, Vidula and Hiwarkhedkar, Sharayu and Dhekane, Omkar and Joshi, Raviraj},
  booktitle={International Conference on Speech and Language Technologies for Low-resource Languages},
  pages={52--63},
  year={2023},
  organization={Springer}
}

Other Marathi Sentiment models from MahaNews family are shared here:

MahaNews-LDC-BERT (long documents)
MahaNews-SHC-BERT (short text)
MahaNews-LPC-BERT (medium paragraphs)
MahaNews-All-BERT (all document lengths)

Runs of l3cube-pune marathi-topic-short-doc on huggingface.co

17
Total runs
4
24-hour runs
5
3-day runs
5
7-day runs
9
30-day runs

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Total runs: 16
Run Growth: 13
Growth Rate: 81.25%
Updated:July 22 2023