Tools · AWS ML Blog ·
The art and science of hyperparameter optimization on Amazon Nova Forge
This post explains how to tune hyperparameters for fine-tuning on Amazon Nova Forge while preserving a model’s general capabilities. It covers choosing a customization strategy, setting key training parameters such as learning rate, batch size, and checkpointing, and avoiding common mistakes that waste compute.