Model Description: This is a finance-domain pretrained Chinese language model, which is based on the 355-million-parameter RoBERTa-Large and further pre-trained on 32B tokens of Chinese financial corpora (including a large number of research reports, news, and announcements).
Developed by: See valuesimplex for model developers
Model Type: Transformer-based language model
Language(s): Chinese
Parent Model: See the chinese-roberta for more information about the BERT base model.