Japanese SimCSE Technical Report
Tsukagoshi, Hayato, Sasano, Ryohei, Takeda, Koichi
–arXiv.org Artificial Intelligence
We report the development of Japanese SimCSE, Japanese sentence embedding models fine-tuned with SimCSE. Since there is a lack of sentence embedding models for Japanese that can be used as a baseline in sentence embedding research, we conducted extensive experiments on Japanese sentence embeddings involving 24 pre-trained Japanese or multilingual language models, five supervised datasets, and four unsupervised datasets. In this report, we provide the detailed training setup for Japanese SimCSE and their evaluation results.
arXiv.org Artificial Intelligence
Oct-30-2023