Implement MixUpModel to integrate mix-up methods in model training

[aashnapulla]

We want to extend our model training package to support advanced data augmentation techniques, specifically Mix-Up. The goal is to create a wrapper or class (MixUpModel) that allows users to train any model using the Mix-Up method.
Requirements:

• The model should accept any base architecture (CNN, MLP, etc.).
• During training, inputs and labels should be mixed according to the Mix-Up technique.
• The user should be able to toggle Mix-Up on/off via a parameter.
• Ensure compatibility with standard TensorFlow/Keras training loops.
• Optional: Integrate with ensemble or transformer-based preprocessing pipelines in the future.