diff --git a/pytorch3d/loss/mesh_edge_loss.py b/pytorch3d/loss/mesh_edge_loss.py
index 77eaa9dc..00d235ad 100644
--- a/pytorch3d/loss/mesh_edge_loss.py
+++ b/pytorch3d/loss/mesh_edge_loss.py
@@ -7,8 +7,8 @@ import torch
 def mesh_edge_loss(meshes, target_length: float = 0.0):
     """
     Computes mesh edge length regularization loss averaged across all meshes
-    in a batch. Each edge contributes equally to the final loss, regardless of
-    numbers of edges per mesh in the batch by weighting each mesh with the
+    in a batch. Each mesh contributes equally to the final loss, regardless of
+    the number of edges per mesh in the batch by weighting each mesh with the
     inverse number of edges. For example, if mesh 3 (out of N) has only E=4
     edges, then the loss for each edge in mesh 3 should be multiplied by 1/E to
     contribute to the final loss.