The invention provides an automated model training method for training a pipeline for different spectrometers. The automated model training method includes: obtaining first spectral data corresponding to a first spectrometer, and second spectral data corresponding to a second spectrometer; and training the pipeline for the first spectrometer and the second spectrometer according to the first spectral data and the second spectral data, wherein the pipeline corresponds to at least one candidate recognition model. The invention also provides an automated model training device.