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loss = MSELoss()
for epoch in range(num_epochs):
for batch in data_loader:
inputs, targets = batch
outputs = model(inputs)
loss = loss(outputs, targets)
loss.backward()
optimizer.step()
optimizer.clear_grad()
print(f"Epoch {epoch+1}, Loss: {loss.numpy()}")
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