chunk_content:  the pre-trained parameters and the randomly initialized classifier parameters are kept frozen.
  However, we do want to train the classifier parameters. By specifying the modules_to_save argument, we ensure that the
  classifier parameters are also trainable, and they will be serialized alongside the LoRA trainable parameters when we
  use utility functions like save_pretrained() and push_to_hub().
  Let’s review the rest of the parameters:
  r: The dim