Update README.md

README.md

@@ -85,7 +85,7 @@ print(results)
 # Output:
 # SearchResults(
 #   ids=tensor([[0, 1, 2]], device='cuda:0'),
-#   scores=tensor([[97.2458, 39.7507, 37.6407]], device='cuda:0')
+#   scores=tensor([[61.5432, 10.3108,  8.6709]], device='cuda:0')
 # )
 
 query_id = 0
@@ -98,6 +98,7 @@ print(top1_psg)
 
 ```
 
+
 ## Building Bag-of-token Index for Search
 
 Our framework supports using tokenization as an index (i.e., a bag-of-token index), which operates on CPU and reduces indexing time and storage requirements by over 90%, compare to an embedding-based index.
@@ -122,7 +123,7 @@ print(results)
 # Output:
 # SearchResults(
 #   ids=tensor([0, 2, 1], device='cuda:3'), 
-#   scores=tensor([97.2964, 39.7844, 37.6955], device='cuda:0')
+#   scores=tensor([61.5432, 10.3108,  8.6709], device='cuda:0')
 # )
 ```