diff --git a/tensorflow/python/keras/engine/training.py b/tensorflow/python/keras/engine/training.py
index c41f4f6ffbb..0d0de921bb9 100644
--- a/tensorflow/python/keras/engine/training.py
+++ b/tensorflow/python/keras/engine/training.py
@@ -350,7 +350,7 @@ class Model(network.Network, version_utils.ModelVersionSelector):
     _keras_api_gauge.get_cell('compile').set(True)
     with self.distribute_strategy.scope():
       self._validate_compile(optimizer, metrics, **kwargs)
-      self._run_eagerly = kwargs.pop('run_eagerly', None)
+      self._run_eagerly = run_eagerly
 
       self.optimizer = self._get_optimizer(optimizer)
       self.compiled_loss = compile_utils.LossesContainer(
diff --git a/tensorflow/python/keras/engine/training_test.py b/tensorflow/python/keras/engine/training_test.py
index 475a370fa55..df0a788b8e0 100644
--- a/tensorflow/python/keras/engine/training_test.py
+++ b/tensorflow/python/keras/engine/training_test.py
@@ -88,6 +88,13 @@ class TrainingTest(keras_parameterized.TestCase):
     hist = model.fit(x=np.array([0.]), y=np.array([0.]))
     self.assertAllClose(hist.history['loss'][0], 10000)
 
+  @keras_parameterized.run_all_keras_modes
+  def test_run_eagerly_setting(self):
+    model = sequential.Sequential([layers_module.Dense(1)])
+    run_eagerly = testing_utils.should_run_eagerly()
+    model.compile('sgd', 'mse', run_eagerly=run_eagerly)
+    self.assertEqual(model.run_eagerly, run_eagerly)
+
   @keras_parameterized.run_all_keras_modes
   def test_fit_and_validate_learning_phase(self):