# GLUE benchmark

This model is a text classification model fine-tuned on the GLUE SST2 dataset using DeBERTa v3 small, demonstrating excellent performance in sentiment analysis tasks.

A text classification model fine-tuned on the GLUE MNLI dataset based on the RoBERTa-base model, excelling in natural language inference tasks

A text classification model fine-tuned on the GLUE SST2 dataset based on the bert-base-cased model, with an accuracy of 92.3%.

Text classification model fine-tuned on GLUE MRPC dataset based on bert-base-uncased