Daniel Voigt Godoy - Deep Learning with PyTorch Step-by-Step A Beginner’s Guide-leanpub

If the losses haven’t changed, it means the training loss was at a minimum already.
So, we expect the weights to remain unchanged. Let’s check it out:
print(sbs.model.state_dict())
Output
OrderedDict([('0.weight', tensor([[1.9414]], device='cuda:0')),
('0.bias', tensor([1.0233], device='cuda:0'))])
No changes, indeed.
Putting It All Together
In this chapter, we have heavily modified the training pipeline. Even though the
data preparation part was left unchanged, the model configuration part was
reduced to its bare minimum, and the model training part was fully integrated into
the StepByStep class. In other words, our pipeline went classy!
202 | Chapter 2.1: Going Classy