# DeBERTa fine-tuning

This model is a fine-tuned version based on microsoft/deberta-v3-base, achieving an outstanding accuracy of 99.87% on the evaluation set.

A Japanese text sentiment prediction model based on DeBERTa, supporting 8 sentiment classifications.

A Python package for Japanese text sentiment prediction based on the fine-tuned DeBERTa model.

Fast Emotion-X is an emotion detection model fine-tuned on Microsoft's DeBERTa V3 Small model, which can accurately classify text into six emotion categories.

A Malay binary sentiment analysis model fine-tuned based on Deberta-V3-xsmall, supporting prediction of positive or negative sentiment labels

A model fine-tuned based on microsoft/deberta-v3-base, achieving an accuracy of 75.76% on the evaluation set