An experiment tracker stores a record of every training run a team makes, including the ones that are discarded. A run record holds everything that determines the run’s result (parameters, seeds, the data snapshot, the code version, the environment) and everything the run produced (metrics, artefacts, logs), with the time and the author.
ml_track.study.