Dear all,
Have you experienced training a binary classification that produces the accuracy > 1.0? Before, the training throw some warnings, but I couldn’t manage to investigate it properly. I guess it perhaps because of the type of feature I defined, which is torch.float32
. But I looked at https://discuss.dgl.ai/t/builtin-functions-give-unsupported-dtype-error-on-torch-double-tensors/411/2, it is suggested to use this data type. So, what could be the cause of this result?
Thanks
/usr/local/lib/python3.6/dist-packages/numpy/core/fromnumeric.py:3335: RuntimeWarning: Mean of empty slice.
out=out, **kwargs)
/usr/local/lib/python3.6/dist-packages/numpy/core/_methods.py:161: RuntimeWarning: invalid value encountered in double_scalars
ret = ret.dtype.type(ret / rcount)
Epoch 00000 | Time(s) nan | Loss 0.6978 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00001 | Time(s) nan | Loss 0.6924 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00002 | Time(s) nan | Loss 0.6918 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00003 | Time(s) nan | Loss 0.7002 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00004 | Time(s) nan | Loss 0.6934 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00005 | Time(s) nan | Loss 0.6924 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00006 | Time(s) nan | Loss 0.6930 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00007 | Time(s) nan | Loss 0.6937 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00008 | Time(s) nan | Loss 0.6929 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00009 | Time(s) nan | Loss 0.6968 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00010 | Time(s) nan | Loss 0.6954 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00011 | Time(s) nan | Loss 0.6925 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00012 | Time(s) nan | Loss 0.6932 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00013 | Time(s) nan | Loss 0.6931 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00014 | Time(s) nan | Loss 0.6931 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00015 | Time(s) nan | Loss 0.6931 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00016 | Time(s) nan | Loss 0.6931 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00017 | Time(s) nan | Loss 0.6931 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00018 | Time(s) nan | Loss 0.6931 | Accuracy 241.0000 | ETputs(KTEPS) nan
Epoch 00019 | Time(s) nan | Loss 0.6931 | Accuracy 241.0000 | ETputs(KTEPS) nan