chunk_content: performance and compute efficiency.
  By looking at the number of trainable parameters, you can see how many parameters we’re actually training. Since the goal is
  to achieve parameter-efficient fine-tuning, you should expect to see fewer trainable parameters in the lora_model
  in comparison to the original model, which is indeed the case here.
  
  Define training arguments
  	
  For model fine-tuning, use Trainer. It accepts
  several arguments which you c