Can I choose the best model using torch.manual_seed()?

Hi I am new to Pytorch.

I use Dropout layer in my LSTM.
If I fix the number for torch.manual_seed(number),
the test accuracy won’t change, but varying torch.manual_seed(number) can
get the different accuracies.

Can I choose a best model by adjusting torch.manual_seed(number)?

Thank you.

It has been proven that a good pre-initialization can improve the perfomance of Neural Network.
But I don’t think it would be a good way to achive it by changing seed simply.
You may need this.
All you need is a good init (Mishkin et al)

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Thank you very much for answering my questions.
I will read the paper carefully.
Have a nice day.