Vision-Transformer-Training-Pipeline

This project builds a modded-nanoGPT–style training harness for Vision Transformers (ViTs). Instead of optimizing only for final accuracy, we optimize for time-to-target accuracy — i.e., how fast (in wall-clock seconds) a model can reach 85% accuracy on a standard vision benchmark such as CIFAR-10.