typo fix (#1114)

(cherry picked from commit 3be919d)

docs/source/pages/overview.rst

@@ -162,7 +162,7 @@ When using metrics in `Distributed Data Parallel (DDP) <https://pytorch.org/docs
 mode, one should be aware that DDP will add additional samples to your dataset if the size of your dataset is
 not equally divisible by ``batch_size * num_processors``. The added samples will always be replicates of datapoints
 already in your dataset. This is done to secure an equal load for all processes. However, this has the consequence
-that the calculated metric value will be sligtly bias towards those replicated samples, leading to a wrong result.
+that the calculated metric value will be slightly biased towards those replicated samples, leading to a wrong result.
 
 During training and/or validation this may not be important, however it is highly recommended when evaluating
 the test dataset to only run on a single gpu or use a `join <https://pytorch.org/docs/stable/_modules/torch/nn/parallel/distributed.html#DistributedDataParallel.join>`_