diff --git a/sdv/single_table/base.py b/sdv/single_table/base.py
index 4bc080a1e..ccc13fd05 100644
--- a/sdv/single_table/base.py
+++ b/sdv/single_table/base.py
@@ -468,7 +468,9 @@ def fit_processed_data(self, processed_data):
             processed_data (pandas.DataFrame):
                 The transformed data used to fit the model to.
         """
-        self._fit(processed_data)
+        if not processed_data.empty:
+            self._fit(processed_data)
+
         self._fitted = True
         self._fitted_date = datetime.datetime.today().strftime('%Y-%m-%d')
         self._fitted_sdv_version = pkg_resources.get_distribution('sdv').version
diff --git a/tests/unit/multi_table/test_base.py b/tests/unit/multi_table/test_base.py
index 572832d0d..8a8db79d7 100644
--- a/tests/unit/multi_table/test_base.py
+++ b/tests/unit/multi_table/test_base.py
@@ -717,6 +717,20 @@ def test_fit_processed_data(self):
         instance._augment_tables.assert_called_once_with(data)
         instance._model_tables.assert_called_once_with(instance._augment_tables.return_value)
         assert instance._fitted
+    
+    def test_fit_processed_data_empty_table(self):
+        """Test the fit attributes are properly set when data is empty."""
+        # Setup
+        instance = Mock()
+        data = pd.DataFrame()
+
+        # Run
+        BaseMultiTableSynthesizer.fit_processed_data(instance, data)
+
+        # Assert
+        assert instance._fitted
+        assert instance._fitted_date
+        assert instance._fitted_sdv_version
 
     def test_fit(self):
         """Test that ``fit`` calls ``preprocess`` and then ``fit_processed_data``."""