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When trained on multi-gpu, the transfer loss (CDAN + Entropy loss) is very low and the test accuracy alway decreases. Dataset: visda2017
tested on Ubuntu 18.04, Pytorch version: 1.2.0 / 1.4.0, GPU: GTX 1080 / RTX 2080Ti
The text was updated successfully, but these errors were encountered:
When trained on multi-gpu, the transfer loss (CDAN + Entropy loss) is very low and the test accuracy alway decreases. Dataset: visda2017
tested on Ubuntu 18.04, Pytorch version: 1.2.0 / 1.4.0, GPU: GTX 1080 / RTX 2080Ti
The text was updated successfully, but these errors were encountered: