[model](https://docs.pytorch.org/docs/stable/generated/torch.nn.Sequential.html#torch.nn.Sequential "torch.nn.Sequential"), [opt](https://docs.pytorch.org/docs/stable/generated/torch.optim.SGD.html#torch.optim.SGD "torch.optim.SGD") = get_model()

for epoch in range(epochs):
    [model.train](https://docs.pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module.train "torch.nn.Module.train")()
    for [xb](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor"), [yb](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor") in train_dl:
        [pred](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor") = [model](https://docs.pytorch.org/docs/stable/generated/torch.nn.Sequential.html#torch.nn.Sequential "torch.nn.Sequential")([xb](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor"))
        [loss](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor") = loss_func([pred](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor"), [yb](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor"))

        [loss.backward](https://docs.pytorch.org/docs/stable/generated/torch.Tensor.backward.html#torch.Tensor.backward "torch.Tensor.backward")()
        [opt.step](https://docs.pytorch.org/docs/stable/generated/torch.optim.SGD.html#torch.optim.SGD.step "torch.optim.SGD.step")()
        [opt.zero_grad](https://docs.pytorch.org/docs/stable/generated/torch.optim.SGD.html#torch.optim.SGD.zero_grad "torch.optim.SGD.zero_grad")()

    [model.eval](https://docs.pytorch.org/docs/stable/generated/torch.nn.Module.html#torch.nn.Module.eval "torch.nn.Module.eval")()
    with [torch.no_grad](https://docs.pytorch.org/docs/stable/generated/torch.no_grad.html#torch.no_grad "torch.no_grad")():
        [valid_loss](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor") = sum(loss_func([model](https://docs.pytorch.org/docs/stable/generated/torch.nn.Sequential.html#torch.nn.Sequential "torch.nn.Sequential")([xb](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor")), [yb](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor")) for [xb](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor"), [yb](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor") in valid_dl)

    print(epoch, [valid_loss](https://docs.pytorch.org/docs/stable/tensors.html#torch.Tensor "torch.Tensor") / len(valid_dl))