diff --git a/eval.py b/eval.py
index 1e3c43a6..86f4f598 100644
--- a/eval.py
+++ b/eval.py
@@ -117,8 +117,18 @@
     # Load weights.
     if args['weights'] is not None:
         model = create_model(num_classes=NUM_CLASSES, coco_model=False)
+        # Load checkpoint with DDP
         checkpoint = torch.load(args['weights'], map_location=DEVICE)
-        model.load_state_dict(checkpoint['model_state_dict'])
+        # Delete possible prefix "module." of model_state_dict
+        state_dict = checkpoint['model_state_dict']
+        new_state_dict = {}
+        for key in state_dict.keys():
+            if key.startswith('module.'):
+                new_key = key[7:]  # Delete "module."
+                new_state_dict[new_key] = state_dict[key]
+            else:
+                new_state_dict[key] = state_dict[key] 
+        model.load_state_dict(new_state_dict)
         valid_dataset = create_valid_dataset(
             VALID_DIR_IMAGES, 
             VALID_DIR_LABELS, 
@@ -215,4 +225,4 @@ def evaluate(
             print('-'*num_hyphens)
             print(f"|{CLASSES[1]:<15} | {np.array(stats['map']):.3f}{empty_string:<15}| {np.array(stats['mar_100']):.3f}{empty_string:<15}|")
             print('-'*num_hyphens)
-            print(f"|Avg{empty_string:<12} | {np.array(stats['map']):.3f}{empty_string:<15}| {np.array(stats['mar_100']):.3f}{empty_string:<15}|")
\ No newline at end of file
+            print(f"|Avg{empty_string:<12} | {np.array(stats['map']):.3f}{empty_string:<15}| {np.array(stats['mar_100']):.3f}{empty_string:<15}|")