Abstract: Disclosed are a method and an apparatus for model training and data enhancement, an electronic device and a storage medium. A generative adversarial network model includes a generator and two discriminators, an output of the generator is used as an input of the two discriminators, the method including: generating, by the generator, reference sample data; calculating, by the first discriminator, a first distance between the reference sample data and preset negative sample data; calculating, by the second discriminator, a second distance between negative class data composed of the reference sample data and the preset negative sample data and preset positive sample data; determining an objective function based on the first distance and the second distance; and training the generative adversarial network model by using the objective function until the generative adversarial network model converges, to obtain the generative adversarial network model.