Epoch: 0001 train_loss= 1.39165 train_acc= 0.21173 val_loss= 1.38705 val_acc= 0.33929 time= 0.10979
Epoch: 0002 train_loss= 1.38897 train_acc= 0.27687 val_loss= 1.38449 val_acc= 0.33929 time= 0.01522
Epoch: 0003 train_loss= 1.38586 train_acc= 0.31596 val_loss= 1.38205 val_acc= 0.33929 time= 0.01563
Epoch: 0004 train_loss= 1.38342 train_acc= 0.31596 val_loss= 1.37995 val_acc= 0.33929 time= 0.01563
Epoch: 0005 train_loss= 1.38193 train_acc= 0.31596 val_loss= 1.37817 val_acc= 0.33929 time= 0.01563
Epoch: 0006 train_loss= 1.37973 train_acc= 0.31596 val_loss= 1.37647 val_acc= 0.33929 time= 0.01563
Epoch: 0007 train_loss= 1.37858 train_acc= 0.31596 val_loss= 1.37480 val_acc= 0.33929 time= 0.00000
Epoch: 0008 train_loss= 1.37754 train_acc= 0.31270 val_loss= 1.37327 val_acc= 0.33929 time= 0.00000
Epoch: 0009 train_loss= 1.37468 train_acc= 0.31596 val_loss= 1.37189 val_acc= 0.33929 time= 0.01563
Epoch: 0010 train_loss= 1.37376 train_acc= 0.31596 val_loss= 1.37073 val_acc= 0.33929 time= 0.01563
Epoch: 0011 train_loss= 1.37360 train_acc= 0.31596 val_loss= 1.36983 val_acc= 0.33929 time= 0.01563
Epoch: 0012 train_loss= 1.37287 train_acc= 0.31596 val_loss= 1.36918 val_acc= 0.33929 time= 0.01563
Epoch: 0013 train_loss= 1.37259 train_acc= 0.31596 val_loss= 1.36878 val_acc= 0.33929 time= 0.01563
Epoch: 0014 train_loss= 1.37118 train_acc= 0.31596 val_loss= 1.36862 val_acc= 0.33929 time= 0.02376
Epoch: 0015 train_loss= 1.37124 train_acc= 0.31596 val_loss= 1.36856 val_acc= 0.33929 time= 0.01106
Epoch: 0016 train_loss= 1.37216 train_acc= 0.31596 val_loss= 1.36862 val_acc= 0.33929 time= 0.01563
Epoch: 0017 train_loss= 1.37253 train_acc= 0.31596 val_loss= 1.36865 val_acc= 0.33929 time= 0.01563
Epoch: 0018 train_loss= 1.37354 train_acc= 0.31596 val_loss= 1.36867 val_acc= 0.33929 time= 0.01563
Epoch: 0019 train_loss= 1.37086 train_acc= 0.31596 val_loss= 1.36874 val_acc= 0.33929 time= 0.01563
Epoch: 0020 train_loss= 1.37288 train_acc= 0.31596 val_loss= 1.36870 val_acc= 0.33929 time= 0.01563
Epoch: 0021 train_loss= 1.37205 train_acc= 0.31596 val_loss= 1.36859 val_acc= 0.33929 time= 0.01562
Epoch: 0022 train_loss= 1.37211 train_acc= 0.31270 val_loss= 1.36850 val_acc= 0.33929 time= 0.01563
Epoch: 0023 train_loss= 1.37199 train_acc= 0.31596 val_loss= 1.36844 val_acc= 0.33929 time= 0.01563
Epoch: 0024 train_loss= 1.37143 train_acc= 0.31596 val_loss= 1.36839 val_acc= 0.33929 time= 0.00000
Epoch: 0025 train_loss= 1.37138 train_acc= 0.31596 val_loss= 1.36839 val_acc= 0.33929 time= 0.01562
Epoch: 0026 train_loss= 1.37042 train_acc= 0.31596 val_loss= 1.36837 val_acc= 0.33929 time= 0.01563
Epoch: 0027 train_loss= 1.37088 train_acc= 0.31596 val_loss= 1.36825 val_acc= 0.33929 time= 0.01563
Epoch: 0028 train_loss= 1.37130 train_acc= 0.31596 val_loss= 1.36817 val_acc= 0.33929 time= 0.01562
Epoch: 0029 train_loss= 1.36893 train_acc= 0.31596 val_loss= 1.36808 val_acc= 0.33929 time= 0.01563
Epoch: 0030 train_loss= 1.37020 train_acc= 0.31596 val_loss= 1.36802 val_acc= 0.33929 time= 0.01563
Epoch: 0031 train_loss= 1.37029 train_acc= 0.31596 val_loss= 1.36793 val_acc= 0.33929 time= 0.01563
Epoch: 0032 train_loss= 1.37052 train_acc= 0.31596 val_loss= 1.36784 val_acc= 0.33929 time= 0.01562
Epoch: 0033 train_loss= 1.37158 train_acc= 0.31596 val_loss= 1.36776 val_acc= 0.33929 time= 0.01563
Epoch: 0034 train_loss= 1.37025 train_acc= 0.31596 val_loss= 1.36767 val_acc= 0.33929 time= 0.01563
Epoch: 0035 train_loss= 1.37063 train_acc= 0.31596 val_loss= 1.36758 val_acc= 0.33929 time= 0.01563
Epoch: 0036 train_loss= 1.36923 train_acc= 0.31596 val_loss= 1.36746 val_acc= 0.33929 time= 0.01562
Epoch: 0037 train_loss= 1.37054 train_acc= 0.31596 val_loss= 1.36734 val_acc= 0.33929 time= 0.01563
Epoch: 0038 train_loss= 1.36949 train_acc= 0.31596 val_loss= 1.36720 val_acc= 0.33929 time= 0.00000
Epoch: 0039 train_loss= 1.37020 train_acc= 0.31596 val_loss= 1.36709 val_acc= 0.33929 time= 0.01563
Epoch: 0040 train_loss= 1.36957 train_acc= 0.31596 val_loss= 1.36699 val_acc= 0.33929 time= 0.01563
Epoch: 0041 train_loss= 1.36972 train_acc= 0.31596 val_loss= 1.36689 val_acc= 0.33929 time= 0.01563
Epoch: 0042 train_loss= 1.36806 train_acc= 0.31596 val_loss= 1.36682 val_acc= 0.33929 time= 0.01563
Epoch: 0043 train_loss= 1.36972 train_acc= 0.31596 val_loss= 1.36676 val_acc= 0.33929 time= 0.01563
Epoch: 0044 train_loss= 1.36919 train_acc= 0.31596 val_loss= 1.36669 val_acc= 0.33929 time= 0.01563
Epoch: 0045 train_loss= 1.36809 train_acc= 0.31596 val_loss= 1.36661 val_acc= 0.33929 time= 0.01562
Epoch: 0046 train_loss= 1.37010 train_acc= 0.31596 val_loss= 1.36652 val_acc= 0.33929 time= 0.01563
Epoch: 0047 train_loss= 1.36934 train_acc= 0.31596 val_loss= 1.36642 val_acc= 0.33929 time= 0.01563
Epoch: 0048 train_loss= 1.36965 train_acc= 0.31596 val_loss= 1.36632 val_acc= 0.33929 time= 0.01563
Epoch: 0049 train_loss= 1.37002 train_acc= 0.31596 val_loss= 1.36624 val_acc= 0.33929 time= 0.01563
Epoch: 0050 train_loss= 1.36904 train_acc= 0.31596 val_loss= 1.36617 val_acc= 0.33929 time= 0.01563
Epoch: 0051 train_loss= 1.36939 train_acc= 0.31596 val_loss= 1.36612 val_acc= 0.33929 time= 0.01563
Epoch: 0052 train_loss= 1.36921 train_acc= 0.31596 val_loss= 1.36610 val_acc= 0.33929 time= 0.01563
Epoch: 0053 train_loss= 1.36918 train_acc= 0.31596 val_loss= 1.36609 val_acc= 0.33929 time= 0.01563
Epoch: 0054 train_loss= 1.36987 train_acc= 0.31596 val_loss= 1.36608 val_acc= 0.33929 time= 0.00000
Epoch: 0055 train_loss= 1.36945 train_acc= 0.31596 val_loss= 1.36610 val_acc= 0.33929 time= 0.01563
Epoch: 0056 train_loss= 1.36996 train_acc= 0.31596 val_loss= 1.36614 val_acc= 0.33929 time= 0.01563
Epoch: 0057 train_loss= 1.36843 train_acc= 0.31596 val_loss= 1.36614 val_acc= 0.33929 time= 0.01563
Epoch: 0058 train_loss= 1.36920 train_acc= 0.31596 val_loss= 1.36613 val_acc= 0.33929 time= 0.01563
Epoch: 0059 train_loss= 1.36941 train_acc= 0.31596 val_loss= 1.36608 val_acc= 0.33929 time= 0.01563
Epoch: 0060 train_loss= 1.37050 train_acc= 0.31596 val_loss= 1.36603 val_acc= 0.33929 time= 0.01563
Epoch: 0061 train_loss= 1.36910 train_acc= 0.31596 val_loss= 1.36599 val_acc= 0.33929 time= 0.01563
Epoch: 0062 train_loss= 1.36841 train_acc= 0.31596 val_loss= 1.36594 val_acc= 0.33929 time= 0.01562
Epoch: 0063 train_loss= 1.36957 train_acc= 0.31596 val_loss= 1.36590 val_acc= 0.33929 time= 0.01563
Epoch: 0064 train_loss= 1.36858 train_acc= 0.31596 val_loss= 1.36584 val_acc= 0.33929 time= 0.01563
Epoch: 0065 train_loss= 1.36955 train_acc= 0.31596 val_loss= 1.36577 val_acc= 0.33929 time= 0.01563
Epoch: 0066 train_loss= 1.36832 train_acc= 0.31596 val_loss= 1.36574 val_acc= 0.33929 time= 0.01563
Epoch: 0067 train_loss= 1.36871 train_acc= 0.31596 val_loss= 1.36569 val_acc= 0.33929 time= 0.01563
Epoch: 0068 train_loss= 1.36986 train_acc= 0.31596 val_loss= 1.36567 val_acc= 0.33929 time= 0.00000
Epoch: 0069 train_loss= 1.36932 train_acc= 0.31596 val_loss= 1.36567 val_acc= 0.33929 time= 0.00000
Epoch: 0070 train_loss= 1.36906 train_acc= 0.31596 val_loss= 1.36563 val_acc= 0.33929 time= 0.01563
Epoch: 0071 train_loss= 1.36887 train_acc= 0.31596 val_loss= 1.36561 val_acc= 0.33929 time= 0.01563
Epoch: 0072 train_loss= 1.36850 train_acc= 0.31596 val_loss= 1.36564 val_acc= 0.33929 time= 0.01563
Epoch: 0073 train_loss= 1.36856 train_acc= 0.31596 val_loss= 1.36565 val_acc= 0.33929 time= 0.01563
Epoch: 0074 train_loss= 1.36860 train_acc= 0.31596 val_loss= 1.36578 val_acc= 0.33929 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 1.39067 accuracy= 0.31858 time= 0.01547 
