I did save the model with 150 epoch by this way torch.save(model.state_dict(), 'train_valid_exp4.pth')
I can load the model and test it by model.load_state_dict(torch.load('train_valid_exp4.pth')) which I assume returning me a model in last epoch.
My model seems is performing better at epoch 40, so the question is how can I resume the model at epoch 40?