Your original article says that when the prediction result does not satisfy the termination condition, the model will improve the prediction accuracy by increasing the number of tokens and introducing additional Transformer layers. What is the termination condition here and how is it reflected in the code?
Your original article says that when the prediction result does not satisfy the termination condition, the model will improve the prediction accuracy by increasing the number of tokens and introducing additional Transformer layers. What is the termination condition here and how is it reflected in the code?