Training method of text processing model, text processing method and related equipment

The invention provides a training method of a text processing model, a text processing method and related equipment. The text processing model comprises a noise reduction auto-encoder sub-model and a loop training sub-model. The method comprises: a training data set being divided into a first data set comprising high-quality texts and a second data set comprising low-quality texts; inputting the first training text and the second training text into the noise reduction auto-encoder sub-model to obtain a first loss corresponding to the first training text, a second loss corresponding to the second training text, and an adversarial loss between the first training text and the second training text; inputting the first training text and the second training text into a loop training sub-model to obtain a first loop loss corresponding to the first training text, a second loop loss corresponding to the second training text, and a loop confrontation loss between the first training text and the second training text; an