Version 0.3.5

What's New in Version 0.3.5?

• Added support for the Lion optimizer in the ViT experiments
• Implemented gradient clipping to prevent gradient explosion and improve training stability
• Enhanced data augmentation techniques for better model generalization
• Improved error handling and user interruption handling during training
• Updated test suite to cover various aspects of DropGrad, including initialization, optimization step, drop rate scheduling, and saving of loss values
• Code refactoring and documentation enhancements for better readability and maintainability