chunk_content: ained(
      model_checkpoint, num_labels=11, id2label=id2label, label2id=label2id
  )
  Define the LoraConfig with:
  task_type, token classification (TaskType.TOKEN_CLS)
  r, the dimension of the low-rank matrices
  lora_alpha, scaling factor for the weight matrices
  lora_dropout, dropout probability of the LoRA layers
  bias, set to all to train all bias parameters
  💡 The weight matrix is scaled by lora_alpha/r, and a higher lora_alpha value assigns more we