Text processing model training method and device, equipment, medium and program product

The invention discloses a text processing model training method and apparatus, a device, a medium and a program product, which can be applied to various scenes such as cloud technology, artificial intelligence, smart traffic and aided driving, such as artificial intelligence scenes such as natural language processing and machine learning, and large model scenes such as pre-training models and adaptive calculation. The method comprises the steps of performing semantic understanding on a first source text through an initial text processing model, and determining a first semantic understanding result; updating the initial text processing model according to the translation difference degree of the model translation text relative to the standard translation text; performing semantic understanding on the second source text and the to-be-classified translated text through the updated text processing model to determine a second semantic understanding result; and according to the model classification category and the