diff --git a/examples/run_classifier.py b/examples/run_classifier.py
index 91e269b843..75692ef39e 100644
--- a/examples/run_classifier.py
+++ b/examples/run_classifier.py
@@ -396,10 +396,6 @@ def main():
                         type=float,
                         help="Proportion of training to perform linear learning rate warmup for. "
                              "E.g., 0.1 = 10%% of training.")
-    parser.add_argument("--save_checkpoints_steps",
-                        default=1000,
-                        type=int,
-                        help="How often to save the model checkpoint.")
     parser.add_argument("--no_cuda",
                         default=False,
                         action='store_true',
diff --git a/examples/run_squad.py b/examples/run_squad.py
index 518c15febc..3b54636207 100644
--- a/examples/run_squad.py
+++ b/examples/run_squad.py
@@ -729,10 +729,6 @@ def main():
     parser.add_argument("--warmup_proportion", default=0.1, type=float,
                         help="Proportion of training to perform linear learning rate warmup for. E.g., 0.1 = 10% "
                              "of training.")
-    parser.add_argument("--save_checkpoints_steps", default=1000, type=int,
-                        help="How often to save the model checkpoint.")
-    parser.add_argument("--iterations_per_loop", default=1000, type=int,
-                        help="How many steps to make in each estimator call.")
     parser.add_argument("--n_best_size", default=20, type=int,
                         help="The total number of n-best predictions to generate in the nbest_predictions.json "
                              "output file.")