diff --git a/README.md b/README.md
index 629a5ed1cb..33480dc4b4 100644
--- a/README.md
+++ b/README.md
@@ -324,6 +324,7 @@ tensorboard --logdir /some/path
 
 - [Accumulate gradients](https://williamfalcon.github.io/pytorch-lightning/Trainer/Training%20Loop/#accumulated-gradients)
 - [Force training for min or max epochs](https://williamfalcon.github.io/pytorch-lightning/Trainer/Training%20Loop/#force-training-for-min-or-max-epochs)
+- [Early stopping](https://williamfalcon.github.io/pytorch-lightning/Trainer/Training%20Loop/#early-stopping)
 - [Force disable early stop](https://williamfalcon.github.io/pytorch-lightning/Trainer/Training%20Loop/#force-disable-early-stop)
 - [Gradient Clipping](https://williamfalcon.github.io/pytorch-lightning/Trainer/Training%20Loop/#gradient-clipping)
 - [Hooks](https://williamfalcon.github.io/pytorch-lightning/Trainer/hooks/)
diff --git a/docs/Trainer/Training Loop.md b/docs/Trainer/Training Loop.md
index f7ad91da4b..2779f869a4 100644
--- a/docs/Trainer/Training Loop.md	
+++ b/docs/Trainer/Training Loop.md	
@@ -19,6 +19,24 @@ It can be useful to force training for a minimum number of epochs or limit to a
 trainer = Trainer(min_nb_epochs=1, max_nb_epochs=1000)
 ```
 
+---
+#### Early stopping
+To enable ealry-stopping, define the callback and give it to the trainer.
+``` {.python}
+from pytorch_lightning.callbacks import EarlyStopping
+
+# DEFAULTS
+early_stop_callback = EarlyStopping(
+    monitor='val_loss',
+    min_delta=0.00,
+    patience=0,
+    verbose=False,
+    mode='auto'
+)
+
+trainer = Trainer(early_stop_callback=early_stop_callback)
+```
+
 ---
 #### Force disable early stop 
 Use this to turn off early stopping and run training to the [max_epoch](#force-training-for-min-or-max-epochs)
diff --git a/docs/index.md b/docs/index.md
index c163b0f409..cebbd158c9 100644
--- a/docs/index.md
+++ b/docs/index.md
@@ -120,6 +120,7 @@ Notice a few things about this flow:
 
 - [Accumulate gradients](https://williamfalcon.github.io/pytorch-lightning/Trainer/Training%20Loop/#accumulated-gradients)
 - [Force training for min or max epochs](https://williamfalcon.github.io/pytorch-lightning/Trainer/Training%20Loop/#force-training-for-min-or-max-epochs)
+- [Early stopping](https://williamfalcon.github.io/pytorch-lightning/Trainer/Training%20Loop/#early-stopping)
 - [Force disable early stop](https://williamfalcon.github.io/pytorch-lightning/Trainer/Training%20Loop/#force-disable-early-stop)
 - [Gradient Clipping](https://williamfalcon.github.io/pytorch-lightning/Trainer/Training%20Loop/#gradient-clipping)
 - [Hooks](https://williamfalcon.github.io/pytorch-lightning/Trainer/hooks/)