from torch import randint, randn
from torchmetrics.classification import MulticlassHingeLoss
metric = MulticlassHingeLoss(num_classes=3)
values = []
for _ in range(20):
    values.append(metric(randn(20, 3), randint(3, (20,))))
fig_, ax_ = metric.plot(values)