diff --git a/src/tasknet/tasks.py b/src/tasknet/tasks.py
index cfa84b1..1a70f0a 100755
--- a/src/tasknet/tasks.py
+++ b/src/tasknet/tasks.py
@@ -102,7 +102,7 @@ def __post_init__(self):
             else:
                 self.num_labels=max(fc.flatten(self.dataset['train'][self.y]))+1
 
-        if type(self.dataset['train'][self.y][0])==list:
+        if type(self.dataset['train'][self.y][0])==list and self.task_type=="SequenceClassification":
             self.problem_type="multi_label_classification"
             if set(fc.flatten(self.dataset['train'][self.y]))!={0,1}:
                 def one_hot(x):
diff --git a/src/tasknet/utils.py b/src/tasknet/utils.py
index 7de6337..68c0bdc 100755
--- a/src/tasknet/utils.py
+++ b/src/tasknet/utils.py
@@ -2,6 +2,14 @@
 from easydict import EasyDict as edict
 import copy
 import functools
+from tqdm.auto import tqdm
+
+class Shutup_tqdm:
+    def __enter__(self):
+        tqdm.__init__ = functools.partialmethod(tqdm.__init__, disable=True)    
+    def __exit__(self, exc_type, exc_value, exc_traceback):
+        tqdm.__init__ = functools.partialmethod(tqdm.__init__, disable=False)
+
 
 
 def train_validation_test_split(dataset, train_ratio=0.8, val_test_ratio=0.5, seed=0):