diff --git a/train.py b/train.py
index 64b6f7d..e4d0948 100644
--- a/train.py
+++ b/train.py
@@ -61,7 +61,7 @@ scheduler = torch.optim.lr_scheduler.ReduceLROnPlateau(
     threshold=1e-8
 )
 
-while total_change >= 1e-4:
+while total_change >= 1e-3:
     # Shuffle training data and convert to one-hot encoding
     classes_dataset = classes_ordered[torch.randperm(len(classes_ordered))]
     onehot_dataset = util.messages_to_onehot(classes_dataset, order)