code: def validation_epoch_end(self, outputs: list) -> dict:
      ret, preds, targets = self._eval_end(outputs)
      logs = ret["log"]
      return {
          "val_loss": logs["val_loss"],
          "log": logs,
          "progress_bar": logs,
      }
  
imports: import argparse
  import glob
  import logging
  import os
  import time
  from argparse import Namespace
  import numpy
  import torch
  from lightning_base import BaseTransformer, add_generic_args, generic_train
  from torch.utils.data import DataLoader, TensorDataset
  from transformers import glue_compute_metrics
  from transformers import glue_convert_examples_to_features
  from transformers import glue_output_modes, glue_tasks_num_labels
  from transformers import glue_processors
label_desc: Use image node_id 8 for calling the GLUETransformer obj's underlying member method code with example usage: obj.validation_epoch_end(outputs) and returns: dict