diff --git a/pytorch_lightning/callbacks/base.py b/pytorch_lightning/callbacks/base.py
index 8283c2ddd71ec..c35fc64e2e115 100644
--- a/pytorch_lightning/callbacks/base.py
+++ b/pytorch_lightning/callbacks/base.py
@@ -101,7 +101,13 @@ def on_train_epoch_start(self, trainer: 'pl.Trainer', pl_module: 'pl.LightningMo
     def on_train_epoch_end(
         self, trainer: 'pl.Trainer', pl_module: 'pl.LightningModule', unused: Optional = None
     ) -> None:
-        """Called when the train epoch ends."""
+        """Called when the train epoch ends.
+
+        To access all batch outputs at the end of the epoch, either:
+
+        1. Implement `training_epoch_end` in the `LightningModule` and access outputs via the module OR
+        2. Cache data across train batch hooks inside the callback implementation to post-process in this hook.
+        """
         pass
 
     def on_validation_epoch_start(self, trainer: 'pl.Trainer', pl_module: 'pl.LightningModule') -> None:
diff --git a/pytorch_lightning/core/hooks.py b/pytorch_lightning/core/hooks.py
index d311bd4f58f06..7ab0c8acbe329 100644
--- a/pytorch_lightning/core/hooks.py
+++ b/pytorch_lightning/core/hooks.py
@@ -238,6 +238,11 @@ def on_train_epoch_start(self) -> None:
     def on_train_epoch_end(self, unused: Optional = None) -> None:
         """
         Called in the training loop at the very end of the epoch.
+
+        To access all batch outputs at the end of the epoch, either:
+
+        1. Implement `training_epoch_end` in the LightningModule OR
+        2. Cache data across steps on the attribute(s) of the `LightningModule` and access them in this hook
         """
 
     def on_validation_epoch_start(self) -> None: