chunk_content: fter wrapping the base model with get_peft_model() along with the config, we get
  a new model where only the LoRA parameters are trainable (so-called “update matrices”) while the pre-trained parameters
  are kept frozen. However, we want the classifier parameters to be trained too when fine-tuning the base model on our
  custom dataset. To ensure that the classifier parameters are also trained, we specify modules_to_save. This also
  ensures that thes