diff --git a/tests/models/convnext/test_modeling_tf_convnext.py b/tests/models/convnext/test_modeling_tf_convnext.py
index bc84cd0a40..9a0d3140e9 100644
--- a/tests/models/convnext/test_modeling_tf_convnext.py
+++ b/tests/models/convnext/test_modeling_tf_convnext.py
@@ -145,10 +145,10 @@ class TFConvNextModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @unittest.skipIf(
         not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
-        reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
+        reason="TF does not support backprop for grouped convolutions on CPU.",
     )
     def test_keras_fit(self):
-        pass
+        super().test_keras_fit()
 
     @unittest.skip(reason="ConvNext does not support input and output embeddings")
     def test_model_common_attributes(self):
@@ -176,7 +176,7 @@ class TFConvNextModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @unittest.skipIf(
         not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
-        reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
+        reason="TF does not support backprop for grouped convolutions on CPU.",
     )
     def test_dataset_conversion(self):
         super().test_dataset_conversion()
diff --git a/tests/models/regnet/test_modeling_tf_regnet.py b/tests/models/regnet/test_modeling_tf_regnet.py
index c7504c92fa..3b426fcd08 100644
--- a/tests/models/regnet/test_modeling_tf_regnet.py
+++ b/tests/models/regnet/test_modeling_tf_regnet.py
@@ -138,10 +138,10 @@ class TFRegNetModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @unittest.skipIf(
         not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
-        reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
+        reason="TF does not support backprop for grouped convolutions on CPU.",
     )
     def test_keras_fit(self):
-        pass
+        super().test_keras_fit()
 
     @unittest.skip(reason="RegNet does not support input and output embeddings")
     def test_model_common_attributes(self):
diff --git a/tests/models/segformer/test_modeling_tf_segformer.py b/tests/models/segformer/test_modeling_tf_segformer.py
index d6a73e2219..dfdb24f37b 100644
--- a/tests/models/segformer/test_modeling_tf_segformer.py
+++ b/tests/models/segformer/test_modeling_tf_segformer.py
@@ -332,7 +332,7 @@ class TFSegformerModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @unittest.skipIf(
         not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
-        reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
+        reason="TF does not support backprop for grouped convolutions on CPU.",
     )
     def test_dataset_conversion(self):
         super().test_dataset_conversion()
@@ -342,7 +342,7 @@ class TFSegformerModelTest(TFModelTesterMixin, unittest.TestCase):
 
     @unittest.skipIf(
         not is_tf_available() or len(tf.config.list_physical_devices("GPU")) == 0,
-        reason="TF (<=2.8) does not support backprop for grouped convolutions on CPU.",
+        reason="TF does not support backprop for grouped convolutions on CPU.",
     )
     def test_keras_fit(self):
         config, _ = self.model_tester.prepare_config_and_inputs_for_common()