fix multilabel in exact_match

README.md

@@ -184,7 +184,6 @@ def metric_ddp(rank, world_size):
     n_epochs = 5
     # this shows iteration over multiple training epochs
     for n in range(n_epochs):
-
         # this will be replaced by a DataLoader with a DistributedSampler
         n_batches = 10
         for i in range(n_batches):

src/torchmetrics/functional/classification/exact_match.py

@@ -232,7 +232,7 @@ def exact_match(
     if task == "multiclass":
         assert num_classes is not None
         return multiclass_exact_match(preds, target, num_classes, multidim_average, ignore_index, validate_args)
-    if task == "multilalbe":
+    if task == "multilabel":
         assert num_labels is not None
         return multilabel_exact_match(
             preds, target, num_labels, threshold, multidim_average, ignore_index, validate_args