code: def test_step(self, batch, batch_idx):
      input_ids = batch["input_ids"]
      attention_mask = batch["attention_mask"]
      labels = batch["labels"]
      loss, outputs = self(input_ids, attention_mask, labels)
      self.log("test_loss", loss)
  
imports: import logging
  from os.path import join
  import pytorch_lightning
  from pytorch_lightning.loggers import WandbLogger
  from torch.optim import AdamW
  import torch.nn
  import torch
  from torchmetrics import F1
  from torch.utils.data import DataLoader, Dataset
  from transformers import AutoTokenizer, AutoModel
label_desc: Use image node_id 5 for calling the BertForTokenClassification obj's underlying member method code with example usage: obj.test_step(batch, batch_idx) without return types