docstr: Override the default train() function, so that when self.finetune == False, the training mode 
  won't be impacted by the parent models' status change.
docstr_tok: ["Override","the","default","train","(",")","function",",","so","that","when","self.finetune","==","False",",","the","training","mode","wo","n't","be","impacted","by","the","parent","models","'","status","change","."]
code: def train(self, mode=True):
      """
      Override the default train() function, so that when self.finetune == False, the training mode
      won't be impacted by the parent models' status change.
      """
      if (
          not mode
      ):  # eval() is always allowed, regardless of finetune status
          super().train(mode)
      else:
          if (
              self.finetune
          ):  # only set to training mode in finetune status
              super().train(mode)
  
imports: from collections import Counter
  from operator import itemgetter
  import os
  import torch
  import torch.nn
  from torch.nn.utils.rnn import pack_sequence, pad_packed_sequence, pack_padded_sequence, PackedSequence
  from stanza.models.common.data import get_long_tensor
  from stanza.models.common.packed_lstm import PackedLSTM
  from stanza.models.common.utils import open_read_text, tensor_unsort, unsort
  from stanza.models.common.dropout import SequenceUnitDropout
  from stanza.models.common.vocab import UNK_ID, CharVocab
label_desc: Use image node_id 8 for calling the CharacterLanguageModel obj's underlying member method code with example usage: obj.train(mode) without return types