import torch
from torchmetrics.wrappers import MinMaxMetric
from torchmetrics.classification import BinaryAccuracy
metric = MinMaxMetric(BinaryAccuracy())
values = [ ]
for _ in range(3):
    values.append(metric(torch.randint(2, (20,)), torch.randint(2, (20,))))
fig_, ax_ = metric.plot(values)