# High Accuracy BERT

An Indonesian product review sentiment classification model fine-tuned based on IndoBERT, supporting positive and negative sentiment classification.

This is an Arabic restaurant review sentiment analysis model fine-tuned based on AraBERT, capable of classifying reviews as positive or negative.

A text classification model fine-tuned on GLUE QQP dataset based on bert-base-cased, used to compare performance differences between fnet-base and bert-base-cased

A text classification model based on the BERT base model, fine-tuned on the TREC dataset for coarse-grained question classification

A BERT-based text classification model, fine-tuned on the AG News dataset with a test accuracy of 94.5%.

This model is a text classification model fine-tuned on the indonlu dataset based on indobert-base-uncased, specifically designed for Indonesian language sentiment analysis tasks.