Binary transformer-based classifier

The goal of the paper is to demonstrate that publicly available open software resources enable integration and calibration of the transformer-based classifier that performs well while solving binary classification problems. In the related work section we briefly review the most important developments in constructing transformer-based classifiers. Next, we describe components and architecture of the proposed solution, and discuss setting its hyperparameters. To validate the approach computational experiment is carried out showing that the transformer-based classifier performs well as compared with the state-of-the-art machine learning algorithms.