from torch import rand, randint
from torchmetrics.classification import MultilabelExactMatch
metric = MultilabelExactMatch(num_labels=3)
metric.update(randint(2, (20, 3, 5)), randint(2, (20, 3, 5)))
fig_, ax_ = metric.plot()