they look great. you can use that trained model to “topaz extract” = pick particles on any number of micrographs. Best performance using it to pick those in the same dataset. The number of particles it picks will strongly depend on the expected number of particles you provided in the training. If you are looking for a rare particle, you may still want to provide a number of expected particles close to the full particle set per micrograph to get every rare particle, but if the number reflects the expected number of that rare particle then the proportion of rare will be higher.
in general I just look for ever increasing->plateauing training precision and it should be good.
best practices are to use your very best particles to train and a tiny amount of particles (1000) can be plenty.