diff --git a/recbole/model/sequential_recommender/fearec.py b/recbole/model/sequential_recommender/fearec.py
index f16385962..125fc7e43 100644
--- a/recbole/model/sequential_recommender/fearec.py
+++ b/recbole/model/sequential_recommender/fearec.py
@@ -210,13 +210,16 @@ def calculate_loss(self, interaction):
             lens = len(targets_index)
             if lens == 0:
                 print("error")
-            while True:
-                sample_index = random.choice(targets_index)
+            remaining_indices = targets_index.copy()
+            while len(remaining_indices) > 0:
+                sample_index = random.choice(remaining_indices)
+                remaining_indices = remaining_indices[remaining_indices != sample_index]
                 cur_item_list = interaction[self.ITEM_SEQ][i].to("cpu")
                 sample_item_list = dataset.inter_feat[self.ITEM_SEQ][sample_index]
                 are_equal = torch.equal(cur_item_list, sample_item_list)
                 sample_item_length = dataset.inter_feat[self.ITEM_SEQ_LEN][sample_index]
-                if not are_equal or lens == 1:
+
+                if not are_equal or len(remaining_indices) == 0:
                     sem_pos_lengths.append(sample_item_length)
                     sem_pos_seqs.append(sample_item_list)
                     break