I had save a model upto 7 epochs,


Summary
Epoch: 1 	Training Loss: 4.736156 	Validation Loss: 5.014328
Validation has decreased
Saving Model…
Epoch: 2 	Training Loss: 4.607684 	Validation Loss: 5.020730
Epoch: 3 	Training Loss: 4.722754 	Validation Loss: 4.918604
Validation has decreased
Saving Model…
Epoch: 4 	Training Loss: 4.724532 	Validation Loss: 4.631703
Validation has decreased
Saving Model…
Epoch: 5 	Training Loss: 4.621485 	Validation Loss: 4.857414
Epoch: 6 	Training Loss: 4.601058 	Validation Loss: 5.013983
Epoch: 7 	Training Loss: 4.561738 	Validation Loss: 4.354510
Validation has decreased
Saving Model…
Epoch: 8 	Training Loss: 4.606921 	Validation Loss: 4.746311
Epoch: 9 	Training Loss: 4.655972 	Validation Loss: 4.657127
Epoch: 10 	Training Loss: 4.661118 	Validation Loss: 4.698534
Epoch: 11 	Training Loss: 4.605792 	Validation Loss: 4.700062
Epoch: 12 	Training Loss: 4.711023 	Validation Loss: 4.680906
Epoch: 13 	Training Loss: 4.442619 	Validation Loss: 4.678782
Epoch: 14 	Training Loss: 4.598712 	Validation Loss: 4.609448
Epoch: 15 	Training Loss: 4.525731 	Validation Loss: 4.983483
Epoch: 16 	Training Loss: 4.530140 	Validation Loss: 4.464461
Epoch: 17 	Training Loss: 4.501666 	Validation Loss: 4.358377
Epoch: 18 	Training Loss: 4.614322 	Validation Loss: 4.664511
Epoch: 19 	Training Loss: 4.537676 	Validation Loss: 4.367801
Epoch: 21 	Training Loss: 4.442828 	Validation Loss: 4.889397
​

Unfortunately internet gone.
Now i want to again train interrupted training , As  i had saved model using
 state = {'epoch': epoch + 1, 'state_dict': model.state_dict(), 
'optimizer': optimizer.state_dict(), 'loss': loss, }
torch.save(state, 'saved.pt')

How do i train from that saved.pt again after 7 epoch?
Thank you for answer