# BERT-base Optimization

A QA model fine-tuned based on bert-base-cased, optimized on the SQuAD dataset

A BERT model based on bert-base-chinese, trained on the million-level semantic similarity dataset SimCLUE, designed for general semantic matching scenarios, demonstrating stronger generalization capabilities.

BERTOverflow is a model based on BERT-base, pretrained on 152 million sentences from a decade-long StackOverflow archive, primarily used for code and named entity recognition tasks.

A QA model fine-tuned based on bert-base-cased, suitable for SQuAD2.0 format QA tasks

This is an English extractive question answering model based on BERT-cased, trained on the SQuAD v1 dataset, suitable for battery device data Q&A tasks.