From db2f7bab82c57d6ddb02455a39deafc3e005e6a6 Mon Sep 17 00:00:00 2001
From: Matteo Bunino <48362942+matbun@users.noreply.github.com>
Date: Tue, 7 Jan 2025 16:39:52 +0100
Subject: [PATCH] Update README.md

---
 tutorials/distributed-ml/torch-kubeflow-1/README.md | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/tutorials/distributed-ml/torch-kubeflow-1/README.md b/tutorials/distributed-ml/torch-kubeflow-1/README.md
index 1e484a28..8d12f4d2 100644
--- a/tutorials/distributed-ml/torch-kubeflow-1/README.md
+++ b/tutorials/distributed-ml/torch-kubeflow-1/README.md
@@ -15,7 +15,7 @@ for more details.
 ## Installing Kubeflow's Training Operator
 
 First, install the [training operator](https://www.kubeflow.org/docs/components/training/installation/).
-Python SDK are not needed for this tutorial.
+Python SDK is not needed for this tutorial.
 
 Example for `v1.8.1`:
 
@@ -74,7 +74,7 @@ first. To manage both Master and Worker pods use:
 kubectl describe pod torchrun-cpu-worker-0 -n kubeflow
 kubectl describe pod torchrun-cpu-master-0 -n kubeflow
 
-# Get the logs from the commands run the pods
+# Get the logs from the pods
 kubectl logs torchrun-cpu-master-0 -n kubeflow
 kubectl logs torchrun-cpu-worker-0 -n kubeflow
 ```