code: def test_fit_with_early_stopping_fallback_deprecated_kwargs(self):
      train = random_transformer_dataset(8)
      valid = random_transformer_dataset(2)
  
      early_stopping_no_improvement = 8
      early_stopping_acc = 0.98
  
      model_args = TransformerModelArguments(
          "sshleifer/tiny-distilroberta-base"
      )
      classifier = TransformerBasedClassification(
          model_args,
          2,
          early_stopping_no_improvement=early_stopping_no_improvement,
          early_stopping_acc=early_stopping_acc,
      )
      with patch.object(classifier, "_fit_main") as fit_main_mock:
          classifier.fit(train, validation_set=valid)
          fit_main_mock.assert_called()
          self.assertIsNone(classifier.class_weights_)
  
          call_args = fit_main_mock.call_args[0]
          self.assertTrue(
              isinstance(call_args[3], EarlyStoppingOrCondition)
          )
  
          first_handler = call_args[3].early_stopping_handlers[0]
          self.assertEqual("val_loss", first_handler.metric.name)
          self.assertEqual(
              early_stopping_no_improvement, first_handler.patience
          )
  
          second_handler = call_args[3].early_stopping_handlers[1]
          self.assertEqual("train_acc", second_handler.metric.name)
          self.assertEqual(-1, second_handler.patience)
  
imports: import unittest
  import pytest
  import numpy
  from unittest.mock import patch
  from small_text.base import LABEL_UNLABELED
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
  from small_text.training.early_stopping import EarlyStopping, EarlyStoppingOrCondition
  from small_text.training.metrics import Metric
  from small_text.utils.logging import VERBOSITY_MORE_VERBOSE
label_desc: Use image node_id 10 for calling the TestTransformerBasedClassification obj's underlying member method code with example usage: obj.test_fit_with_early_stopping_fallback_deprecated_kwargs() without return types