模型:
indobenchmark/indobart
IndoBART 是基于 BART 模型的最先进的印尼语语言模型。该预训练模型使用了 BART 训练目标进行训练。
Model | #params | Training data |
---|---|---|
indobenchmark/indobart | 132M | Indo4B-Plus (23.79 GB of text) |
IndoBART 是由 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 进行训练和评估的
如果您使用了我们的工作,请引用:
@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} }