lonePatient/Bert-Multi-Label-Text-Classification
A PyTorch implementation for fine-tuning BERT and XLNET models on multi-label text classification tasks.

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This repository provides code for fine-tuning pretrained BERT and XLNET models on multi-label text classification problems. It uses the Hugging Face transformers library and implements standard deep learning training components including data preprocessing, model fine-tuning, callbacks, and evaluation. Users need to download pretrained weights and organize them in a specific directory structure before running the training scripts.