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vighneshkhot/researchpaper-classifier
researchpaper-classifier is a machine learning model from vighneshkhot. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
"A deep learning NLP model that automatically classifies research paper abstracts into their correct academic category, built using DistilBERT and PyTorch, trained on diverse and varied data." ---
Downloads · 30 days
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13% of all-time downloads
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From the Hugging Face model README
Every day, thousands of research papers are published across multiple academic fields. This project builds an automated classifier that reads a paper abstract and instantly predicts its category — such as Computer Science, Mathematics, Physics, Statistics, and more.
This project demonstrates the application of Natural Language Processing (NLP) and deep learning for academic document classification.
| Metric | Score |
|---|---|
| Test Accuracy | 82% |
| Weighted F1 Score | 0.8133 |
| Training Samples | ~3000,000 |
| Categories | 20 |
| Training Environment | VS Code (Local GPU) |
| Category | F1 Score |
|---|---|
| Astrophysics | 0.94 |
| Computer Science | 0.89 |
| Mathematics | 0.89 |
| Quantum Physics | 0.80 |