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indobart-v2
indobenchmark/indobart-v2
indobart-v2 is a machine learning model from indobenchmark. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as mit.
IndoBART-v2 is a state-of-the-art language model for Indonesian based on the BART model. The pretrained model is trained using the BART training objective.
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At a glance
- Library
- transformers
- License
- mit
- Model type
- mbart
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- Jun 21, 2022
- SHA
- 7192ee75
Model card
From the Hugging Face model README
IndoBART-v2 Model
IndoBART-v2 is a state-of-the-art language model for Indonesian based on the BART model. The pretrained model is trained using the BART training objective.
All Pre-trained Models
| Model | #params | Training data |
|---|---|---|
indobenchmark/indobart-v2 | 132M | Indo4B-Plus (26 GB of text) |
Authors
<b>IndoBART</b> was trained and evaluated by Samuel Cahyawijaya*, Genta Indra Winata*, Bryan Wilie*, Karissa Vincentio*, Xiaohong Li*, Adhiguna Kuncoro*, Sebastian Ruder, Zhi Yuan Lim, Syafri Bahar, Masayu Leylia Khodra, Ayu Purwarianti, Pascale Fung
Citation
If you use our work, please cite:
@article{cahyawijaya2021indonlg,
title={IndoNLG: Benchmark and Resources for Evaluating Indonesian Natural Language Generation},
author={Cahyawijaya, Samuel and Winata, Genta Indra and Wilie, Bryan and Vincentio, Karissa and Li, Xiaohong and Kuncoro, Adhiguna and Ruder, Sebastian and Lim, Zhi Yuan and Bahar, Syafri and Khodra, Masayu Leylia and others},
journal={arXiv preprint arXiv:2104.08200},
year={2021}
}
- Library
- transformers
- Type
- mbart
- License
- mit
- Languages
- id
- Created
- Mar 2, 2022
- Updated
- Jun 21, 2022