diff --git a/docs/src/api/Lux/utilities.md b/docs/src/api/Lux/utilities.md
index 76aeb585f..783d4f088 100644
--- a/docs/src/api/Lux/utilities.md
+++ b/docs/src/api/Lux/utilities.md
@@ -10,11 +10,11 @@ Pages = ["utilities.md"]
 
 Loss Functions Objects take 2 forms of inputs:
 
-1. $y\hat$ and $y$ where $y\hat$ is the predicted output and $y$ is the target output.
-2. `model`, `ps`, `st`, `(x, y)` where `model` is the model, `ps` are the parameters,
-   `st` are the states and `(x, y)` are the input and target pair. Then it returns the
-   loss, updated states, and an empty named tuple. This makes them compatible with the
-   [Experimental Training API](@ref Training-API).
+  1. $\hat{y}$ and $y$ where $\hat{y}$ is the predicted output and $y$ is the target output.
+  2. `model`, `ps`, `st`, `(x, y)` where `model` is the model, `ps` are the parameters,
+     `st` are the states and `(x, y)` are the input and target pair. Then it returns the
+     loss, updated states, and an empty named tuple. This makes them compatible with the
+     [Experimental Training API](@ref Training-API).
 
 !!! warning