code: def test_finetune_xlmr_base(self):
      self.config.model_config[self.model_name][
          "transformer_base"
      ] = "xlm-roberta-base"
      model = build_model(self.config.model_config[self.model_name])
      model.eval()
      self.assertTrue(
          test_utils.compare_torchscript_transformer_models(
              model, vocab_size=XLM_ROBERTA_VOCAB_SIZE
          )
      )
  
imports: import gc
  import unittest
  import tests.test_utils
  import torch
  from mmf.common.sample import SampleList
  from mmf.models.mmf_transformer import MMFTransformer, MMFTransformerModalityConfig
  from mmf.models.transformers.heads.mlm import MLM
  from mmf.modules.encoders import EncoderFactory, IdentityEncoder, ImageEncoderFactory, ImageEncoderTypes, ResNet152ImageEncoder, TextEncoderFactory, TextEncoderTypes
  from mmf.utils.build import build_model
  from mmf.utils.configuration import Configuration
  from mmf.utils.env import setup_imports, teardown_imports
  from omegaconf import OmegaConf
  from tests.test_utils import skip_if_no_pytorchvideo
label_desc: Use image node_id 6 for calling the TestMMFTransformerTorchscript obj's underlying member method code with example usage: obj.test_finetune_xlmr_base() without return types