diff --git a/examples/tensorflow/contrastive-image-text/run_clip.py b/examples/tensorflow/contrastive-image-text/run_clip.py
index 7f153ce75a6f..9dad78eb163b 100644
--- a/examples/tensorflow/contrastive-image-text/run_clip.py
+++ b/examples/tensorflow/contrastive-image-text/run_clip.py
@@ -273,9 +273,8 @@ def main():
         handlers=[logging.StreamHandler(sys.stdout)],
     )
 
-    if training_args.should_log:
-        # The default of training_args.log_level is passive, so we set log level at info here to have that default.
-        transformers.utils.logging.set_verbosity_info()
+    # The default of training_args.log_level is passive, so we set log level at info here to have that default.
+    transformers.utils.logging.set_verbosity_info()
 
     log_level = training_args.get_process_log_level()
     logger.setLevel(log_level)
diff --git a/src/transformers/training_args_tf.py b/src/transformers/training_args_tf.py
index 3cacfba16e8f..847bbdb78a15 100644
--- a/src/transformers/training_args_tf.py
+++ b/src/transformers/training_args_tf.py
@@ -249,6 +249,13 @@ def n_replicas(self) -> int:
         requires_backends(self, ["tf"])
         return self._setup_strategy.num_replicas_in_sync
 
+    @property
+    def should_log(self):
+        """
+        Whether or not the current process should produce log.
+        """
+        return False  # TF Logging is handled by Keras not the Trainer
+
     @property
     def train_batch_size(self) -> int:
         """