Fine-Tuning

Why Your Transformer Fine-Tune Degrades on the Original Task After Updating

Your transformer model performs well after fine-tuning on a new dataset, but suddenly becomes much worse at the task it originally mastered. This phenomenon, known as catastrophic forgetting, is one of the biggest challenges in continual learning. Learn why it happens and practical strategies