When developing new machine learning models, it is important to be able to track various computational experiments in a clear and reproducible way. There are many popular tools in this area (e.g. Weights & Biases, MLflow, Neptune), and they all get the job done. It does not really matter what you use, but make sure you have some sort of system. I generally recommend W&B.