code: def test_fit(self):
      import datasets
  
      ds = random_text_dataset(10, multi_label=self.multi_label)
      num_classes = 5
  
      setfit_model_args = SetFitModelArguments(
          "sentence-transformers/all-MiniLM-L6-v2"
      )
      clf = SetFitClassification(
          setfit_model_args, num_classes, multi_label=self.multi_label
      )
  
      with patch.object(clf, "_fit") as fit_main_mock:
          clf.fit(ds)
  
          fit_main_mock.assert_called()
  
          call_args = fit_main_mock.call_args[0]
          self.assertTrue(isinstance(call_args[0], datasets.Dataset))
          self.assertTrue(call_args[1] is None)
  
          self.assertEqual(len(ds), len(call_args[0]))
  
imports: import unittest
  import pytest
  from unittest.mock import patch
  from small_text.integrations.pytorch.exceptions import PytorchNotFoundError
label_desc: Use image node_id 2 for calling the TestSetFitClassificationRegressionMultiLabel obj's underlying member method code with example usage: obj.test_fit() without return types