seiya/oubiobert-base-uncased

We evaluated the performance of ouBioBERT in terms of the biomedical language understanding evaluation (BLUE) benchmark (Peng, et al., 2019) The numbers are mean (standard deviation) on five different random seeds . The source code for fine-tuning is freely available at our repository . If you use our work in your research, please kindly cite the following paper:  Shoya Wada and Toshihiro Takeda and . Shiro Manabe and Shozo Konishi . . Shoya . Manabe . Shido Konishi and Jun Kamohara and Yasushi Matsumura . Shozo . Konishi. Manabe. Manabes .,