The NeMo AutoModel framework automates the selection of optimal hyperparameters for transformer fine-tuning. It reduces manual trial-and-error by leveraging a structured search space for learning rates and batch sizes. This tool streamlines the pipeline for Nvidia hardware users. Practitioners can now deploy specialized models faster without sacrificing accuracy through extensive manual tuning.