metadata
language:
- ru
- uk
- multilingual
- en
license: mit
tags:
- russian
- ukrainian
- medical
A little about the model
The model is trained to answer questions about health topics (Open-book question answering-comprehend). cointegrated/rut5-base-multitask For training, a compact T5 model was used: cointegrated/rut5-base-multitask
The training was conducted on a small set out of 220 thousand pairs of question-answer sentences, so it still does not work as correctly as we would like.
The model is not a medical application and it is strongly discouraged to use the model for medical purposes!
Citing & Authors
@misc{UARITM, title={sentence-transformers: Semantic similarity of medical texts ukr, kor, eng}, author={Uaritm}, year={2025}, url={https://ai.esemi.org}, }