diff --git a/swift/trainers/mixin.py b/swift/trainers/mixin.py
index cdac7674db..cdf8900525 100644
--- a/swift/trainers/mixin.py
+++ b/swift/trainers/mixin.py
@@ -75,7 +75,7 @@ def __init__(self,
         self.compute_loss_func = None  # Compatible with the older version of transformers
 
         if args.check_model and hasattr(model, 'model_dir'):
-            with ms_logger_context(logging.CRITICAL):
+            with ms_logger_context(logging.CRITICAL), self._patch_timeout():
                 check_local_model_is_latest(
                     model.model_dir, user_agent={
                         'invoked_by': 'local_trainer',
@@ -132,6 +132,24 @@ def _get_mean_metric():
             # so reading train_state is skipped here.
             self.args.resume_from_checkpoint = None
 
+    @contextmanager
+    def _patch_timeout(self):
+        from modelscope.hub.api import HubApi
+        __init__ = HubApi.__init__
+
+        def __new_init__(self, *args, **kwargs):
+            timeout = kwargs.get('timeout')
+            if timeout is not None and timeout > 5:
+                kwargs['timeout'] = 5
+            __init__(self, *args, **kwargs)
+
+        HubApi.__init__ = __new_init__
+
+        try:
+            yield
+        finally:
+            HubApi.__init__ = __init__
+
     @property
     def tokenizer(self):
         # compat transformers5.0
diff --git a/swift/trainers/rlhf_trainer/reward_trainer.py b/swift/trainers/rlhf_trainer/reward_trainer.py
index 693feb12be..f022779bcd 100644
--- a/swift/trainers/rlhf_trainer/reward_trainer.py
+++ b/swift/trainers/rlhf_trainer/reward_trainer.py
@@ -80,7 +80,10 @@ def visualize_samples(self, num_print_samples: int):
                 break
         df = pd.DataFrame(table)
         if self.accelerator.process_index == 0:
-            print_rich_table(df[:num_print_samples])
+            try:
+                print_rich_table(df[:num_print_samples])
+            except Exception as e:
+                logger.error(e)
             if 'wandb' in self.args.report_to:
                 import wandb