Hi, I’m training effiicient net b0 on custom data set,
I already have weights for models which was trained with 30 epochs.
now what I did is, I loaded the model,
pth = 'model.pth'
model.load_state_dict(torch.load(pth))

and started training for 5 epochs.
My question is, will this model be considered for trained for total of 35 epochs or this will overwrite previous ones and be trained for 5 epochs?
if it will overwrite, then kindly suggest me how can I train it further