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Last active August 27, 2023 12:11
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for epoch in range(1, 5):
with tqdm(train_loader, unit="batch") as tepoch:
for data, target in tepoch:
tepoch.set_description(f"Epoch {epoch}")
data, target =,
output = model(data)
predictions = output.argmax(dim=1, keepdim=True).squeeze()
loss = F.nll_loss(output, target)
correct = (predictions == target).sum().item()
accuracy = correct / batch_size
tepoch.set_postfix(loss=loss.item(), accuracy=100. * accuracy)
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