arXiv:2310.19349 공식 코드 · Papers with Code

Japanese SimCSE Technical Report

Hayato Tsukagoshi, Ryohei Sasano, Koichi Takeda

제출 2023-10-30

원문 초록

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.

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