diff --git a/src/transformers/models/regnet/modeling_regnet.py b/src/transformers/models/regnet/modeling_regnet.py
index 2e6da1eaa38bc9..2295fbeeabfdfd 100644
--- a/src/transformers/models/regnet/modeling_regnet.py
+++ b/src/transformers/models/regnet/modeling_regnet.py
@@ -295,7 +295,7 @@ def _init_weights(self, module):
 
 REGNET_START_DOCSTRING = r"""
     This model is a PyTorch [torch.nn.Module](https://pytorch.org/docs/stable/nn.html#torch.nn.Module) subclass. Use it
-    as a regular PyTorch Module and refer to the PyTorch documentation for all matter related to general usage and
+    as a regular PyTorch Module and refer to the PyTorch documentation for all matters related to general usage and
     behavior.
 
     Parameters:
diff --git a/src/transformers/models/regnet/modeling_tf_regnet.py b/src/transformers/models/regnet/modeling_tf_regnet.py
index 0c411df9f97961..28115d718b0f4e 100644
--- a/src/transformers/models/regnet/modeling_tf_regnet.py
+++ b/src/transformers/models/regnet/modeling_tf_regnet.py
@@ -456,11 +456,12 @@ def input_signature(self):
 
 
 REGNET_START_DOCSTRING = r"""
-    Parameters:
     This model is a Tensorflow
     [tf.keras.layers.Layer](https://www.tensorflow.org/api_docs/python/tf/keras/layers/Layer) sub-class. Use it as a
     regular Tensorflow Module and refer to the Tensorflow documentation for all matter related to general usage and
     behavior.
+
+    Parameters:
         config ([`RegNetConfig`]): Model configuration class with all the parameters of the model.
             Initializing with a config file does not load the weights associated with the model, only the
             configuration. Check out the [`~TFPreTrainedModel.from_pretrained`] method to load the model weights.
diff --git a/utils/check_docstrings.py b/utils/check_docstrings.py
index ca8141ebb42003..3c466310397946 100644
--- a/utils/check_docstrings.py
+++ b/utils/check_docstrings.py
@@ -654,6 +654,8 @@
     "TFRagModel",
     "TFRagSequenceForGeneration",
     "TFRagTokenForGeneration",
+    "TFRegNetForImageClassification",
+    "TFRegNetModel",
     "TFRemBertForCausalLM",
     "TFRemBertForMaskedLM",
     "TFRemBertForMultipleChoice",
@@ -1214,7 +1216,10 @@ def check_docstrings(overwrite: bool = False):
         error_message += "\n" + "\n".join([f"- {name}" for name in hard_failures])
     if len(failures) > 0:
         error_message += (
-            "The following objects docstrings do not match their signature. Run `make fix-copies` to fix this."
+            "The following objects docstrings do not match their signature. Run `make fix-copies` to fix this. "
+            "In some cases, this error may be raised incorrectly by the docstring checker. If you think this is the "
+            "case, you can manually check the docstrings and then add the object name to `OBJECTS_TO_IGNORE` in "
+            "`utils/check_docstrings.py`."
         )
         error_message += "\n" + "\n".join([f"- {name}" for name in failures])
     if len(to_clean) > 0: