Fine-tuned transformer model for classifying news articles into four categories: World, Sports, Business, and Sci/Tech.

Dataset: AG News
Fine-tuning: Supervised (Full fine-tuning or LoRA-based fine-tuning)
Maximum sequence length: 128

This model was trained and evaluated as part of an academic project on applied natural language processing and transformer-based text classification.