Seeking clarification on MPNet fine-tuning objectives

Hi there,
I am interested in fine-tuning the MPNet pre-trained model on a domain-specific corpus. I understand that the MPNet model combines both autoregressive and autoencoding language modeling objectives. Does the or script with the MPNet model as argument trains with both objectives or the masked LM objective as the name of the script implies?