transformers/model_cards/uer/chinese_roberta_L-2_H-128

language	datasets
zh	CLUECorpus

Chinese RoBERTa Miniatures

Model description

This is the set of 24 Chinese RoBERTa models pre-trained by UER-py.

You can download the 24 Chinese RoBERTa miniatures either from the UER-py Github page, or via HuggingFace from the links below:

	H=128	H=256	H=512	H=768
L=2	2/128 (BERT-Tiny)	[2/256]	[2/512]	[2/768]
L=4	[4/128]	[4/256 (BERT-Mini)]	[4/512 (BERT-Small)]	[4/768]
L=6	[6/128]	[6/256]	[6/512]	[6/768]
L=8	[8/128]	[8/256]	[8/512 (BERT-Medium)]	[8/768]
L=10	[10/128]	[10/256]	[10/512]	[10/768]
L=12	[12/128]	[12/256]	[12/512]	[12/768 (BERT-Base)]

Training data

CLUECorpus2020 and CLUECorpusSmall are used as training corpus.

Training procedure

Training details can be found in UER-py.

BibTeX entry and citation info

@article{zhao2019uer,
  title={UER: An Open-Source Toolkit for Pre-training Models},
  author={Zhao, Zhe and Chen, Hui and Zhang, Jinbin and Zhao, Xin and Liu, Tao and Lu, Wei and Chen, Xi and Deng, Haotang and Ju, Qi and Du, Xiaoyong},
  journal={EMNLP-IJCNLP 2019},
  pages={241},
  year={2019}
}