Yogi | Optimizer

Enter (You Only Gradient Once).

Yogi won't replace Adam everywhere, but it's an excellent tool to keep in your optimizer toolbox – especially when gradients get wild. yogi optimizer

Try it on your next unstable training run. You might be surprised. 🚀 Enter (You Only Gradient Once)

Yogi adds a tiny bit of compute per step and may need slightly more memory. In practice, it's negligible for most models. or large-scale language models)

Most deep learning practitioners reach for Adam by default. But when training on tasks with noisy or sparse gradients (like GANs, reinforcement learning, or large-scale language models), Adam can sometimes struggle with sudden large gradient updates that destabilize training.