chunk_content: nn.modules.linear.Linear),
   ('seq.5', torch.nn.modules.activation.LogSoftmax)]
  Let’s say we want to apply LoRA to the input layer and to the hidden layer, those are 'seq.0' and 'seq.1'. Moreover,
  let’s assume we want to update the output layer without LoRA, that would be 'seq.4'. The corresponding config would
  be:
  
  
  	Copied
  from peft import LoraConfig
  
  config = LoraConfig(
      target_modules=["seq.0", "seq.2"],
      modules_to_save=["seq.4"],
  )
  