diff --git a/docs/usage/train/augmentation.md b/docs/usage/train/augmentation.md
index a2562ce52d542f93e00d413057ebbe1830f8e9b7..3edb07041ba2add25c3b005980aa52a313093a50 100644
--- a/docs/usage/train/augmentation.md
+++ b/docs/usage/train/augmentation.md
@@ -127,8 +127,8 @@ This page lists data augmentation transforms used in DAN.
 
 ## Full augmentation pipeline
 
-* Data augmentation is applied with a probability of 0.9
-* In this case, two transformations are randomly selected to be applied
+* Data augmentation is applied with a probability of 0.9.
+* In this case, two transformations are randomly selected to be applied.
 * Reproducibility is possible by setting `random.seed` and `np.random.seed` (already done in `dan/ocr/document/train.py`)
 * Examples with new pipeline: