diff --git a/train_clml.py b/train_clml.py
index 84b6abc..b43c495 100644
--- a/train_clml.py
+++ b/train_clml.py
@@ -12,7 +12,7 @@
 from src.loss_functions.losses import AsymmetricLoss, Hill, SPLC
 from randaugment import RandAugment
 from torch.cuda.amp import GradScaler, autocast
-from ConLoss_MLML import OLELoss,CLML
+from ConLoss_MLML import CLLoss,CLML
 
 parser = argparse.ArgumentParser(description='PyTorch MS_COCO Training')
 parser.add_argument('--dataset', help='select dataset', default='./dataset/coco_train_0.75left.txt')
@@ -129,7 +129,7 @@ def train_multi_label_coco(args, model, train_loader, val_loader, lr):
                 loss_classification=crit1(output,target)
 
             if use_clml:
-                loss_clml=crit_clml(output, target, epoch,feature,lam)
+                loss_clml=crit_clml(output, target, feature, epoch,lam)
             else:
                 loss_clml=0