  As the deep learning rapidly promote, the artificial texts created by
generative models are commonly used in news and social media. However, such
models can be abused to generate product reviews, fake news, and even fake
political content. The paper proposes a solution for the Russian Artificial
Text Detection in the Dialogue shared task 2022 (RuATD 2022) to distinguish
which model within the list is used to generate this text. We introduce the
DeBERTa pre-trained language model with multiple training strategies for this
shared task. Extensive experiments conducted on the RuATD dataset validate the
effectiveness of our proposed method. Moreover, our submission ranked second
place in the evaluation phase for RuATD 2022 (Multi-Class).
