chunk_content: to all to train all bias parameters
  💡 The weight matrix is scaled by lora_alpha/r, and a higher lora_alpha value assigns more weight to the LoRA activations. For performance, we recommend setting bias to None first, and then lora_only, before trying all.
  
  
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  peft_config = LoraConfig(
      task_type=TaskType.TOKEN_CLS, inference_mode=False, r=16, lora_alpha=16, lora_dropout=0.1, bias="all"
  )
  Pass the base model and peft_config to the get_pe