 Optimizing Model Parameters in the PyTorch tutorials

Primary PyTorch Learn the Basics tutorial. Hyperparameters defines number of epochs and batch size; Optimization Loop and Optimizer distinguish outer passes from train-loop gradient updates. Full Implementation shows training and evaluation loops. Checked 2026-11-03; examples in the wiki use independently chosen data counts.