This repository provides a clean, lightweight implementation of BERT in PyTorch with detailed Chinese comments for easy modification. It supports masked language modeling (MLM), sequence classification, and implements advanced training techniques such as adversarial training (FGM), focal loss, and label smoothing cross-entropy. The codebase follows the API structure of bert4keras and supports various BERT-family architectures.