code: def configure_optimizers(self):
      optimizer = AdamW(self.parameters(), lr=2e-5)
      return optimizer
  
imports: import torch
  import hydra
  import torch.nn
  import pytorch_lightning
  from omegaconf import DictConfig
  from torchmetrics import F1Score
  from torch.utils.data import Dataset, DataLoader
  from transformers import AutoTokenizer, AdamW, RobertaModel, BertPreTrainedModel, RobertaConfig
  from underthesea import word_tokenize
  from underthesea.datasets.uit_absa_hotel.uit_absa_hotel import UITABSAHotel
label_desc: Use image node_id 6 for calling the BertForMultilabelClassification obj's underlying member method code with example usage: obj.configure_optimizers() and returns: optimizer