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News Article Classification Model
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.
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