diff --git a/networks/resize_lora.py b/networks/resize_lora.py
index 183264373..4b0f5639d 100644
--- a/networks/resize_lora.py
+++ b/networks/resize_lora.py
@@ -59,8 +59,8 @@ def save_to_file(file_name, state_dict, metadata):
 def index_sv_cumulative(S, target):
     original_sum = float(torch.sum(S))
     cumulative_sums = torch.cumsum(S, dim=0) / original_sum
-    index = int(torch.searchsorted(cumulative_sums, target)) + 1
-    index = max(1, min(index, len(S) - 1))
+    index = int(torch.searchsorted(cumulative_sums, target))
+    index = max(0, min(index, len(S) - 1))
 
     return index
 
@@ -69,8 +69,8 @@ def index_sv_fro(S, target):
     S_squared = S.pow(2)
     S_fro_sq = float(torch.sum(S_squared))
     sum_S_squared = torch.cumsum(S_squared, dim=0) / S_fro_sq
-    index = int(torch.searchsorted(sum_S_squared, target**2)) + 1
-    index = max(1, min(index, len(S) - 1))
+    index = int(torch.searchsorted(sum_S_squared, target**2))
+    index = max(0, min(index, len(S) - 1))
 
     return index
 
@@ -79,7 +79,7 @@ def index_sv_ratio(S, target):
     max_sv = S[0]
     min_sv = max_sv / target
     index = int(torch.sum(S > min_sv).item())
-    index = max(1, min(index, len(S) - 1))
+    index = max(0, min(index, len(S) - 1))
 
     return index