diff --git a/examples/multigpu_remote_launcher.py b/examples/multigpu_remote_launcher.py
index 16325a6aa48..da1020d029b 100644
--- a/examples/multigpu_remote_launcher.py
+++ b/examples/multigpu_remote_launcher.py
@@ -11,7 +11,7 @@ def launch_train(*args):
     num_processes = torch.cuda.device_count()
     print(f"Device count: {num_processes}")
     with patch_environment(
-        world_size=num_processes, master_addr="127.0.01", master_port="29500", mixed_precision=args[1].mixed_precision
+        world_size=num_processes, master_addr="127.0.0.1", master_port="29500", mixed_precision=args[1].mixed_precision
     ):
         launcher = PrepareForLaunch(training_function, distributed_type="MULTI_GPU")
         torch.multiprocessing.start_processes(launcher, args=args, nprocs=num_processes, start_method="spawn")
diff --git a/src/accelerate/launchers.py b/src/accelerate/launchers.py
index 3bcc0935a91..310e52c313d 100644
--- a/src/accelerate/launchers.py
+++ b/src/accelerate/launchers.py
@@ -222,7 +222,7 @@ def debug_launcher(function, args=(), num_processes=2):
         # process here (the other ones will be set be the launcher).
         with patch_environment(
             world_size=num_processes,
-            master_addr="127.0.01",
+            master_addr="127.0.0.1",
             master_port="29500",
             accelerate_mixed_precision="no",
             accelerate_debug_rdv_file=tmp_file.name,