docstr: Check that the parameters of an xlnet model DO change when using bert_finetune
docstr_tok: ["Check","that","the","parameters","of","an","xlnet","model","DO","change","when","using","bert_finetune"]
code: def test_xlnet_finetune(
      self, wordvec_pretrain_file, tiny_random_xlnet
  ):
      """
      Check that the parameters of an xlnet model DO change when using bert_finetune
      """
      self.finetune_transformer_test(
          wordvec_pretrain_file, tiny_random_xlnet
      )
  
imports: from collections import defaultdict
  import logging
  import pathlib
  import tempfile
  import pytest
  import torch
  from torch import optim
  from stanza import Pipeline
  from stanza.models import constituency_parser
  from stanza.models.common import pretrain
  from stanza.models.common.bert_embedding import load_bert, load_tokenizer
  from stanza.models.common.foundation_cache import FoundationCache
  from stanza.models.common.utils import set_random_seed
  from stanza.models.constituency import lstm_model
  from stanza.models.constituency import trainer
  from stanza.models.constituency import tree_reader
  from stanza.tests import *
label_desc: Use image node_id 27 for calling the TestTrainer obj's underlying member method code with example usage: obj.test_xlnet_finetune(wordvec_pretrain_file, tiny_random_xlnet) without return types