# High Accuracy Text Classification

Model fine-tuned based on bert-base-multilingual-cased, achieving 99.93% accuracy on the evaluation set

This is a fine-tuned text classification model based on BERT-base-uncased, specifically designed to identify crime types from crime descriptions, covering 34 classification labels.

A text classification model fine-tuned on the GLUE QQP dataset based on the BERT base model, used to determine whether two questions are semantically identical