chunk_content: nable params: {trainable_params} || all params: {all_param} || trainable%: {100 * trainable_params / all_param:.2f}"
      )
  It’s important to initialize the original model correctly as it will be used as a base to create the PeftModel you’ll
  actually fine-tune. Specify the label2id and id2label so that AutoModelForImageClassification can append a classification
  head to the underlying model, adapted for this dataset. You should see the following 