Classification model training method and device and storage medium

The invention relates to a classification model training method and device and a storage medium. The classification model training method comprises the following steps: performing initial training ofa classification model by using a first data set of known discrete tags to obtain a first classification model; inputting sample data in the first data set into a first classification model to obtaincontinuous labels; continuously training the first classification model by using a second data set formed by the sample data and the continuous labels to obtain a second classification model; classifying the sample data contained in the first data set by using a second classification model to obtain continuous labels output by the second classification model; outputting the sample data of which the continuous labels output by the second classification model meet the doubt condition to obtain discrete labels for re-labeling the sample data so as to update a second data set; and continuing to train the second classificat