diff --git a/intermediate_source/char_rnn_classification_tutorial.py b/intermediate_source/char_rnn_classification_tutorial.py
index 6d56029f5d..04cfb16f62 100644
--- a/intermediate_source/char_rnn_classification_tutorial.py
+++ b/intermediate_source/char_rnn_classification_tutorial.py
@@ -205,7 +205,7 @@ def __getitem__(self, idx):
 print(f"example = {alldata[0]}")
 
 #########################
-#Using the dataset object allows us to easily split the data into train and test sets. Here we create a 80/20
+#Using the dataset object allows us to easily split the data into train and test sets. Here we create a 85/15
 # split but the ``torch.utils.data`` has more useful utilities. Here we specify a generator since we need to use the
 #same device as PyTorch defaults to above.
 
@@ -440,4 +440,4 @@ def evaluate(rnn, testing_data, classes):
 #    -  Any word -> language
 #    -  First name -> gender
 #    -  Character name -> writer
-#    -  Page title -> blog or subreddit
\ No newline at end of file
+#    -  Page title -> blog or subreddit