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-rw-r--r--examples/mnist/mnist.py5
1 files changed, 2 insertions, 3 deletions
diff --git a/examples/mnist/mnist.py b/examples/mnist/mnist.py
index 0a81878..a1706be 100644
--- a/examples/mnist/mnist.py
+++ b/examples/mnist/mnist.py
@@ -24,7 +24,7 @@ def train_model(name: str, dim):
optimizer = torch.optim.Adam(net.parameters(), lr=0.5e-4)
print(f"Training {name} ({dim} neurons)...")
- for epoch in range(100):
+ for epoch in range(10):
global loss
for data in trainloader:
inputs, targets = data
@@ -33,8 +33,7 @@ def train_model(name: str, dim):
loss = loss_fn(outputs, targets)
loss.backward()
optimizer.step()
- if (epoch + 1) % 10 == 0:
- print(f" Epoch {epoch+1}, Loss: {loss.item():.4f}")
+ print(f" Epoch {epoch+1}, Loss: {loss.item():.4f}")
return net
if __name__ == "__main__":