diff --git a/docs/Trainer/Validation loop.md b/docs/Trainer/Validation loop.md
index 091cc095..b5670a2d 100644
--- a/docs/Trainer/Validation loop.md	
+++ b/docs/Trainer/Validation loop.md	
@@ -5,8 +5,6 @@ Below are all the things lightning automates for you in the validation loop.
 Lightning will run 5 steps of validation in the beginning of training as a sanity check so you don't have to wait until a full epoch to catch possible validation issues.
 
 
-
-
 ---
 #### Check validation every n epochs
 If you have a small dataset you might want to check validation every n epochs
@@ -60,4 +58,6 @@ Lightning runs a few steps of validation in the beginning of training. This avoi
 ``` {.python}
 # DEFAULT
 trainer = Trainer(nb_sanity_val_steps=5)
-```
\ No newline at end of file
+```
+
+You can use `Trainer(nb_sanity_val_steps=0)` to skip the sanity check.
diff --git a/pytorch_lightning/models/trainer.py b/pytorch_lightning/models/trainer.py
index 39628ee5..87125b99 100644
--- a/pytorch_lightning/models/trainer.py
+++ b/pytorch_lightning/models/trainer.py
@@ -780,7 +780,7 @@ class Trainer(TrainerIO):
 
         # run tiny validation (if validation defined) to make sure program won't crash during val
         ref_model.on_sanity_check_start()
-        if self.val_dataloader is not None:
+        if self.val_dataloader is not None and self.nb_sanity_val_steps > 0:
             for ds_i, dataloader in enumerate(self.val_dataloader):
 
                 # reset progress_bar limit for sanity check