diff --git a/funasr/bin/train.py b/funasr/bin/train.py
index 6cb486bf2..d19b79a14 100644
--- a/funasr/bin/train.py
+++ b/funasr/bin/train.py
@@ -150,8 +150,8 @@ def main(**kwargs):
     # dataset
     logging.info("Build dataloader")
     dataloader_class = tables.dataloader_classes.get(kwargs["dataset_conf"].get("dataloader", "DataloaderMapStyle"))
-    # dataloader = dataloader_class(**kwargs)
-    dataloader_tr, dataloader_val = dataloader_class(**kwargs)
+    dataloader = dataloader_class(**kwargs)
+    # dataloader_tr, dataloader_val = dataloader_class(**kwargs)
     trainer = Trainer(local_rank=local_rank,
                       use_ddp=use_ddp,
                       use_fsdp=use_fsdp,
@@ -181,7 +181,7 @@ def main(**kwargs):
     for epoch in range(trainer.start_epoch, trainer.max_epoch + 1):
         time1 = time.perf_counter()
         with context:
-            # dataloader_tr, dataloader_val = dataloader.build_iter(epoch)
+            dataloader_tr, dataloader_val = dataloader.build_iter(epoch)
             trainer.train_epoch(
                                 model=model,
                                 optim=optim,
diff --git a/funasr/datasets/dataloader_entry.py b/funasr/datasets/dataloader_entry.py
index 0de7e4053..2222efbf2 100644
--- a/funasr/datasets/dataloader_entry.py
+++ b/funasr/datasets/dataloader_entry.py
@@ -4,7 +4,7 @@ import torch
 
 from funasr.register import tables
 
-@tables.register("dataloader_classes", "DataloaderMapStyle")
+# @tables.register("dataloader_classes", "DataloaderMapStyle")
 def DataloaderMapStyle(frontend=None, tokenizer=None, **kwargs):
 	# dataset
 	logging.info("Build dataloader")
@@ -25,7 +25,7 @@ def DataloaderMapStyle(frontend=None, tokenizer=None, **kwargs):
 	
 	return dataloader_tr, dataloader_val
 
-# @tables.register("dataloader_classes", "DataloaderMapStyle")
+@tables.register("dataloader_classes", "DataloaderMapStyle")
 class DataloaderMapStyle:
 	def __init__(self, frontend=None, tokenizer=None, **kwargs):
 		# dataset
diff --git a/funasr/train_utils/trainer.py b/funasr/train_utils/trainer.py
index c66539418..2d47fc17e 100644
--- a/funasr/train_utils/trainer.py
+++ b/funasr/train_utils/trainer.py
@@ -371,8 +371,7 @@ class Trainer:
                 
         if self.use_ddp or self.use_fsdp:
             dist.barrier()
-
-        iterator_stop = torch.tensor(0).to(self.device)
+            iterator_stop = torch.tensor(0).to(self.device)
         
         
 
@@ -402,12 +401,10 @@ class Trainer:
             iterator_stop = torch.tensor(0).to(self.device)
             dataloader_val.batch_sampler.set_epoch(epoch)
             for batch_idx, batch in enumerate(dataloader_val):
-                # if self.use_ddp or self.use_fsdp:
-                #     dist.all_reduce(iterator_stop, dist.ReduceOp.SUM)
-                #     if epoch >= 1:
-                #         print(f"iterator_stop: {iterator_stop}\n")
-                #     if iterator_stop > 0:
-                #         break
+                if self.use_ddp or self.use_fsdp:
+                    dist.all_reduce(iterator_stop, dist.ReduceOp.SUM)
+                    if iterator_stop > 0:
+                        break
                 time1 = time.perf_counter()
                 speed_stats["data_load"] = f"{time1 - time5:0.3f}"
                 batch = to_device(batch, self.device)
@@ -467,7 +464,7 @@ class Trainer:
 
         if self.use_ddp or self.use_fsdp:
             dist.barrier()
-        iterator_stop = torch.tensor(0).to(self.device)
+            iterator_stop = torch.tensor(0).to(self.device)
         
         
     def log(self,