diff --git a/examples/run_classifier.py b/examples/run_classifier.py
index adf81f4e28..e265ed73df 100644
--- a/examples/run_classifier.py
+++ b/examples/run_classifier.py
@@ -312,7 +312,8 @@ def main():
                         help="The input data dir. Should contain the .tsv files (or other data files) for the task.")
     parser.add_argument("--bert_model", default=None, type=str, required=True,
                         help="Bert pre-trained model selected in the list: bert-base-uncased, "
-                             "bert-large-uncased, bert-base-cased, bert-base-multilingual, bert-base-chinese.")
+                        "bert-large-uncased, bert-base-cased, bert-large-cased, bert-base-multilingual-uncased, "
+                        "bert-base-multilingual-cased, bert-base-chinese.")
     parser.add_argument("--task_name",
                         default=None,
                         type=str,
diff --git a/examples/run_squad.py b/examples/run_squad.py
index 6a97dd300b..8be4143a58 100644
--- a/examples/run_squad.py
+++ b/examples/run_squad.py
@@ -681,7 +681,8 @@ def main():
     ## Required parameters
     parser.add_argument("--bert_model", default=None, type=str, required=True,
                         help="Bert pre-trained model selected in the list: bert-base-uncased, "
-                             "bert-large-uncased, bert-base-cased, bert-base-multilingual, bert-base-chinese.")
+                        "bert-large-uncased, bert-base-cased, bert-large-cased, bert-base-multilingual-uncased, "
+                        "bert-base-multilingual-cased, bert-base-chinese.")
     parser.add_argument("--output_dir", default=None, type=str, required=True,
                         help="The output directory where the model checkpoints and predictions will be written.")
 
diff --git a/examples/run_swag.py b/examples/run_swag.py
index caddbee8ab..c31696fec8 100644
--- a/examples/run_swag.py
+++ b/examples/run_swag.py
@@ -249,7 +249,8 @@ def main():
                         help="The input data dir. Should contain the .csv files (or other data files) for the task.")
     parser.add_argument("--bert_model", default=None, type=str, required=True,
                         help="Bert pre-trained model selected in the list: bert-base-uncased, "
-                             "bert-large-uncased, bert-base-cased, bert-base-multilingual, bert-base-chinese.")
+                        "bert-large-uncased, bert-base-cased, bert-large-cased, bert-base-multilingual-uncased, "
+                        "bert-base-multilingual-cased, bert-base-chinese.")
     parser.add_argument("--output_dir",
                         default=None,
                         type=str,