code: def _train_callback(self, epoch, loss):
      log.info(f"{self.name} at epoch {epoch+1} and loss {loss}!")
  
imports: import os
  import time
  from typing import Iterable
  from collections import deque
  import numpy
  import torch
  from torch.utils.data import DataLoader
  import pandas
  from type_infer.dtype import dtype
  from transformers import DistilBertModel, DistilBertForSequenceClassification, DistilBertTokenizerFast, AdamW, get_linear_schedule_with_warmup
  from sklearn.model_selection import train_test_split
  from lightwood.encoder.text.helpers.pretrained_helpers import TextEmbed
  from lightwood.helpers.device import get_device_from_name
  from lightwood.encoder.base import BaseEncoder
  from lightwood.helpers.log import log
  from lightwood.helpers.torch import LightwoodAutocast
  from lightwood.helpers.general import is_none
label_desc: Use image node_id 5 for calling the PretrainedLangEncoder obj's underlying member method code with example usage: obj._train_callback(epoch, loss) without return types