Data processing method, device and equipment

The invention provides a data processing method, device and equipment. The data processing method comprises the following steps: inputting labeled data in a basic data set and a newly added data set into a basic model to obtain a predicted label; determining a first loss value based on the predicted tag and the actual tag; inputting the pseudo label data in the basic auxiliary set into the basic model to obtain a first basic vector, inputting the pseudo label data in the basic auxiliary set into the first teacher model to obtain a second basic vector, and determining a second loss value based on the first basic vector and the second basic vector; inputting the pseudo-label data in the newly-added auxiliary set into the basic model to obtain a first newly-added vector, inputting the pseudo-label data in the newly-added auxiliary set into the second teacher model to obtain a second newly-added vector, and determining a third loss value based on the first newly-added vector and the second newly-added vector; and