Deberta V3 Large News Classifier

🚀 DeBERTa v3 Large News Classifier

This model is a fine - tuned version of microsoft/deberta - v3 - large for multi - class classification of news headlines, offering classification into 7 distinct categories.

🚀 Quick Start

This model is a fine - tuned version of microsoft/deberta-v3-large for multi - class classification of news headlines. The model classifies headlines into one of 7 categories:

• World
• Business
• Technology
• Entertainment
• Sports
• Science
• Health

✨ Features

• Capable of multi - class classification of news headlines.
• Trained on a large dataset to ensure high - quality performance.

📦 Installation

The document doesn't provide specific installation steps, so this section is skipped.

💻 Usage Examples

Basic Usage

The sample code for using the model is shown in the following image:

Advanced Usage

The sample output of the model is presented in the following image:

📚 Documentation

Training Dataset

This model was trained on the logicalqubit/news_133k dataset, which contains 133,000 labeled news headlines across the 7 categories mentioned above.

Training Hyperparameters

Metrics

• While zero - shot models and fine - tuned text classification model differ fundamentally in design and purpose, this comparison is presented for reference. It provides a practical benchmark, even if the comparison is entirely unfair.

Wandb

📄 License

This project is licensed under the MIT license.