Comments (1)
You have that (ref.)
def save_checkpoint(state, is_best, filename='checkpoint.pth.tar'):
torch.save(state, filename)
if is_best:
shutil.copyfile(filename, 'model_best.pth.tar')
will save a file named model_best.pth.tar
when is_best == True
(ref.)
# remember best prec@1 and save checkpoint
is_best = prec1 > best_prec1
best_prec1 = max(prec1, best_prec1)
save_checkpoint({
'epoch': epoch + 1,
'state_dict': model.state_dict(),
'best_prec1': best_prec1,
}, is_best)
So, I guess your training procedure has a decreasing accuracy over time trend?
Hold on, you get model.pth.tar
??? I was expecting you to tell me you were getting checkpoint.pth.tar
instead. What code are you actually running?
from pytorch-cortexnet.
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from pytorch-cortexnet.