diff --git a/keras_nlp/models/f_net/f_net_masked_lm.py b/keras_nlp/models/f_net/f_net_masked_lm.py
index 65a4f43efa..67bc50f74d 100644
--- a/keras_nlp/models/f_net/f_net_masked_lm.py
+++ b/keras_nlp/models/f_net/f_net_masked_lm.py
@@ -24,6 +24,7 @@
 )
 from keras_nlp.models.f_net.f_net_presets import backbone_presets
 from keras_nlp.models.task import Task
+from keras_nlp.utils.keras_utils import is_xla_compatible
 from keras_nlp.utils.python_utils import classproperty
 
 
@@ -135,6 +136,12 @@ def __init__(
         # All references to `self` below this line
         self.backbone = backbone
         self.preprocessor = preprocessor
+        self.compile(
+            loss=keras.losses.SparseCategoricalCrossentropy(from_logits=True),
+            optimizer=keras.optimizers.Adam(5e-5),
+            weighted_metrics=keras.metrics.SparseCategoricalAccuracy(),
+            jit_compile=is_xla_compatible(self),
+        )
 
     @classproperty
     def backbone_cls(cls):
diff --git a/keras_nlp/models/f_net/f_net_masked_lm_test.py b/keras_nlp/models/f_net/f_net_masked_lm_test.py
index dbf12202ec..3e7e7c9c99 100644
--- a/keras_nlp/models/f_net/f_net_masked_lm_test.py
+++ b/keras_nlp/models/f_net/f_net_masked_lm_test.py
@@ -87,6 +87,9 @@ def setUp(self):
     def test_valid_call_masked_lm(self):
         self.masked_lm(self.preprocessed_batch)
 
+    def test_fnet_masked_lm_fit_default_compile(self):
+        self.masked_lm.fit(self.raw_dataset)
+
     @parameterized.named_parameters(
         ("jit_compile_false", False), ("jit_compile_true", True)
     )