Training pipeline & optimization

[yesh00008]

This issue tracks the development and optimization of the model training pipeline. Tasks include designing the training workflow, configuring training parameters, implementing performance optimizations, and documenting the process.

Tasks:

• Design the training pipeline architecture
• Set up data loaders and batching
• Configure training parameters (learning rate, epochs, etc.)
• Implement training loop and monitoring
• Optimize training for performance (hardware utilization, parallelism, etc.)
• Document pipeline and optimization strategies

Update this issue with progress, challenges, and results during development.