diff --git a/training/training_loop.py b/training/training_loop.py
index 14836ad2e..f197f3abd 100755
--- a/training/training_loop.py
+++ b/training/training_loop.py
@@ -98,7 +98,7 @@ def training_loop(
     metrics                 = [],       # Metrics to evaluate during training.
     random_seed             = 0,        # Global random seed.
     num_gpus                = 1,        # Number of GPUs participating in the training.
-    rank                    = 0,        # Rank of the current process in [0, num_gpus[.
+    rank                    = 0,        # Rank of the current process in [0, num_gpus].
     batch_size              = 4,        # Total batch size for one training iteration. Can be larger than batch_gpu * num_gpus.
     batch_gpu               = 4,        # Number of samples processed at a time by one GPU.
     ema_kimg                = 10,       # Half-life of the exponential moving average (EMA) of generator weights.