diff --git a/src/torchmetrics/text/perplexity.py b/src/torchmetrics/text/perplexity.py
index 81f5c694f99..51804881df8 100644
--- a/src/torchmetrics/text/perplexity.py
+++ b/src/torchmetrics/text/perplexity.py
@@ -33,8 +33,8 @@ class Perplexity(Metric):
     As input to ``forward`` and ``update`` the metric accepts the following input:
 
     - ``preds`` (:class:`~torch.Tensor`): Logits or a unnormalized score assigned to each token in a sequence with shape
-        [batch_size, seq_len, vocab_size], which is the output of a language model. Scores will be normalized internally
-        using softmax.
+      [batch_size, seq_len, vocab_size], which is the output of a language model. Scores will be normalized internally
+      using softmax.
     - ``target`` (:class:`~torch.Tensor`): Ground truth values with a shape [batch_size, seq_len]
 
     As output of ``forward`` and ``compute`` the metric returns the following output: