Shypd.aiThe largest open index of AI toolsBERT4doc-Classification is an open-source coding & development tool that provides code and resources for fine-tuning BERT models for text classification. It offers a general solution for BERT fine-tuning through exhaustive experiments, useful for researchers and developers.
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BERT4doc-Classification is an open-source project offering code and resources specifically designed for fine-tuning BERT models for text classification tasks. It provides a comprehensive solution based on extensive experiments detailed in the paper "How to Fine-Tune BERT for Text Classification?". The project includes requirements for both further pre-training (using TensorFlow 1.1x) and fine-tuning (using PyTorch). Users can prepare various datasets, including Sogou News and others built by Zhang et al., and leverage Google BERT models. The repository guides users through generating pre-training corpora, running further pre-training, and fine-tuning on downstream tasks with detailed command-line examples. It also addresses considerations for different GPU setups and offers advanced fine-tuning arguments like layer-wise learning rates and strategies for handling long texts.
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