diff --git a/GPT_SoVITS/s2_train.py b/GPT_SoVITS/s2_train.py
index 917f762..50cb9cb 100644
--- a/GPT_SoVITS/s2_train.py
+++ b/GPT_SoVITS/s2_train.py
@@ -306,7 +306,7 @@ def train_and_evaluate(
         y_lengths,
         text,
         text_lengths,
-    ) in enumerate(tqdm(train_loader,position=rank+1,leave=(epoch==hps.train.epochs),postfix=f'epoch:{epoch}',disable=(rank!=0))):
+    ) in enumerate(tqdm(train_loader,position=rank,leave=(epoch==hps.train.epochs),postfix=f'Epoch:{epoch},Rank:{rank}',delay=1)):
         if torch.cuda.is_available():
             spec, spec_lengths = spec.cuda(rank, non_blocking=True), spec_lengths.cuda(
                 rank, non_blocking=True
diff --git a/GPT_SoVITS/utils.py b/GPT_SoVITS/utils.py
index 177eda1..bbd8a6a 100644
--- a/GPT_SoVITS/utils.py
+++ b/GPT_SoVITS/utils.py
@@ -18,7 +18,7 @@ logging.getLogger("matplotlib").setLevel(logging.ERROR)
 
 MATPLOTLIB_FLAG = False
 
-logging.basicConfig(stream=sys.stdout, level=logging.ERROR)
+# logging.basicConfig(stream=sys.stdout, level=logging.ERROR)
 logger = logging
 
 
@@ -319,13 +319,13 @@ def check_git_hash(model_dir):
 def get_logger(model_dir, filename="train.log"):
     global logger
     logger = logging.getLogger(os.path.basename(model_dir))
-    logger.setLevel(logging.ERROR)
+    logger.setLevel(logging.DEBUG)
 
     formatter = logging.Formatter("%(asctime)s\t%(name)s\t%(levelname)s\t%(message)s")
     if not os.path.exists(model_dir):
         os.makedirs(model_dir)
     h = logging.FileHandler(os.path.join(model_dir, filename))
-    h.setLevel(logging.ERROR)
+    h.setLevel(logging.DEBUG)
     h.setFormatter(formatter)
     logger.addHandler(h)
     return logger