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.
Frequently asked
- What is lonePatient/Bert-Multi-Label-Text-Classification?
- A PyTorch implementation for fine-tuning BERT and XLNET models on multi-label text classification tasks.
- Is Bert-Multi-Label-Text-Classification open source?
- Yes — lonePatient/Bert-Multi-Label-Text-Classification is open source, released under the MIT license.
- What language is Bert-Multi-Label-Text-Classification written in?
- lonePatient/Bert-Multi-Label-Text-Classification is primarily written in Python.
- How popular is Bert-Multi-Label-Text-Classification?
- lonePatient/Bert-Multi-Label-Text-Classification has 923 stars on GitHub.
- Where can I find Bert-Multi-Label-Text-Classification?
- lonePatient/Bert-Multi-Label-Text-Classification is on GitHub at https://github.com/lonePatient/Bert-Multi-Label-Text-Classification.