Epoch: 0001 train_loss= 0.70104 train_acc= 0.48442 val_loss= 0.69815 val_acc= 0.45902 time= 0.78883
Epoch: 0002 train_loss= 0.69800 train_acc= 0.50649 val_loss= 0.69606 val_acc= 0.68852 time= 0.00000
Epoch: 0003 train_loss= 0.69575 train_acc= 0.61688 val_loss= 0.69460 val_acc= 0.67213 time= 0.01563
Epoch: 0004 train_loss= 0.69413 train_acc= 0.63247 val_loss= 0.69367 val_acc= 0.62295 time= 0.01563
Epoch: 0005 train_loss= 0.69310 train_acc= 0.67013 val_loss= 0.69309 val_acc= 0.65574 time= 0.01563
Epoch: 0006 train_loss= 0.69211 train_acc= 0.66753 val_loss= 0.69278 val_acc= 0.77049 time= 0.00000
Epoch: 0007 train_loss= 0.69170 train_acc= 0.66494 val_loss= 0.69265 val_acc= 0.72131 time= 0.01563
Epoch: 0008 train_loss= 0.69150 train_acc= 0.64675 val_loss= 0.69261 val_acc= 0.70492 time= 0.01563
Epoch: 0009 train_loss= 0.69115 train_acc= 0.67532 val_loss= 0.69259 val_acc= 0.77049 time= 0.01822
Epoch: 0010 train_loss= 0.69097 train_acc= 0.66494 val_loss= 0.69253 val_acc= 0.77049 time= 0.00303
Epoch: 0011 train_loss= 0.69024 train_acc= 0.63896 val_loss= 0.69242 val_acc= 0.75410 time= 0.01050
Epoch: 0012 train_loss= 0.69018 train_acc= 0.66364 val_loss= 0.69225 val_acc= 0.75410 time= 0.01563
Epoch: 0013 train_loss= 0.68965 train_acc= 0.67792 val_loss= 0.69203 val_acc= 0.78689 time= 0.00000
Epoch: 0014 train_loss= 0.68946 train_acc= 0.67792 val_loss= 0.69178 val_acc= 0.75410 time= 0.01563
Epoch: 0015 train_loss= 0.68802 train_acc= 0.66104 val_loss= 0.69147 val_acc= 0.75410 time= 0.01563
Epoch: 0016 train_loss= 0.68768 train_acc= 0.67273 val_loss= 0.69118 val_acc= 0.72131 time= 0.01135
Epoch: 0017 train_loss= 0.68694 train_acc= 0.68442 val_loss= 0.69092 val_acc= 0.72131 time= 0.01100
Epoch: 0018 train_loss= 0.68621 train_acc= 0.67143 val_loss= 0.69067 val_acc= 0.72131 time= 0.01300
Epoch: 0019 train_loss= 0.68677 train_acc= 0.68052 val_loss= 0.69045 val_acc= 0.73770 time= 0.01000
Epoch: 0020 train_loss= 0.68518 train_acc= 0.68442 val_loss= 0.69026 val_acc= 0.73770 time= 0.01000
Epoch: 0021 train_loss= 0.68467 train_acc= 0.68182 val_loss= 0.69008 val_acc= 0.73770 time= 0.00900
Epoch: 0022 train_loss= 0.68528 train_acc= 0.65974 val_loss= 0.68993 val_acc= 0.73770 time= 0.00900
Epoch: 0023 train_loss= 0.68326 train_acc= 0.67143 val_loss= 0.68977 val_acc= 0.68852 time= 0.01100
Epoch: 0024 train_loss= 0.68414 train_acc= 0.66234 val_loss= 0.68961 val_acc= 0.65574 time= 0.01100
Epoch: 0025 train_loss= 0.68171 train_acc= 0.66234 val_loss= 0.68941 val_acc= 0.67213 time= 0.01000
Epoch: 0026 train_loss= 0.68136 train_acc= 0.67143 val_loss= 0.68918 val_acc= 0.67213 time= 0.01000
Epoch: 0027 train_loss= 0.68105 train_acc= 0.65455 val_loss= 0.68894 val_acc= 0.65574 time= 0.01000
Epoch: 0028 train_loss= 0.68044 train_acc= 0.64545 val_loss= 0.68870 val_acc= 0.65574 time= 0.01011
Epoch: 0029 train_loss= 0.68072 train_acc= 0.65065 val_loss= 0.68842 val_acc= 0.63934 time= 0.01000
Epoch: 0030 train_loss= 0.68040 train_acc= 0.66753 val_loss= 0.68806 val_acc= 0.63934 time= 0.01110
Epoch: 0031 train_loss= 0.67945 train_acc= 0.63117 val_loss= 0.68752 val_acc= 0.75410 time= 0.00900
Epoch: 0032 train_loss= 0.67986 train_acc= 0.68831 val_loss= 0.68709 val_acc= 0.68852 time= 0.00300
Epoch: 0033 train_loss= 0.68050 train_acc= 0.63766 val_loss= 0.68677 val_acc= 0.72131 time= 0.01565
Epoch: 0034 train_loss= 0.67627 train_acc= 0.68052 val_loss= 0.68642 val_acc= 0.70492 time= 0.00000
Epoch: 0035 train_loss= 0.67633 train_acc= 0.65584 val_loss= 0.68605 val_acc= 0.73770 time= 0.01563
Epoch: 0036 train_loss= 0.67785 train_acc= 0.66753 val_loss= 0.68568 val_acc= 0.72131 time= 0.00000
Epoch: 0037 train_loss= 0.67370 train_acc= 0.64935 val_loss= 0.68537 val_acc= 0.75410 time= 0.01563
Epoch: 0038 train_loss= 0.67664 train_acc= 0.69870 val_loss= 0.68532 val_acc= 0.63934 time= 0.01563
Epoch: 0039 train_loss= 0.67364 train_acc= 0.69221 val_loss= 0.68535 val_acc= 0.62295 time= 0.00000
Epoch: 0040 train_loss= 0.67209 train_acc= 0.68052 val_loss= 0.68534 val_acc= 0.62295 time= 0.01563
Epoch: 0041 train_loss= 0.67285 train_acc= 0.66623 val_loss= 0.68506 val_acc= 0.63934 time= 0.01562
Epoch: 0042 train_loss= 0.67070 train_acc= 0.64156 val_loss= 0.68400 val_acc= 0.62295 time= 0.00000
Epoch: 0043 train_loss= 0.67283 train_acc= 0.64156 val_loss= 0.68312 val_acc= 0.78689 time= 0.01563
Epoch: 0044 train_loss= 0.67467 train_acc= 0.67532 val_loss= 0.68294 val_acc= 0.60656 time= 0.00000
Epoch: 0045 train_loss= 0.67158 train_acc= 0.65584 val_loss= 0.68255 val_acc= 0.60656 time= 0.01563
Epoch: 0046 train_loss= 0.66833 train_acc= 0.68571 val_loss= 0.68227 val_acc= 0.60656 time= 0.00000
Epoch: 0047 train_loss= 0.67026 train_acc= 0.65584 val_loss= 0.68167 val_acc= 0.68852 time= 0.01563
Epoch: 0048 train_loss= 0.67056 train_acc= 0.66104 val_loss= 0.68117 val_acc= 0.78689 time= 0.01563
Epoch: 0049 train_loss= 0.66511 train_acc= 0.66364 val_loss= 0.68085 val_acc= 0.72131 time= 0.00000
Epoch: 0050 train_loss= 0.66879 train_acc= 0.66234 val_loss= 0.68061 val_acc= 0.63934 time= 0.01563
Epoch: 0051 train_loss= 0.66657 train_acc= 0.66234 val_loss= 0.68011 val_acc= 0.72131 time= 0.00000
Epoch: 0052 train_loss= 0.66532 train_acc= 0.69740 val_loss= 0.67965 val_acc= 0.75410 time= 0.01563
Epoch: 0053 train_loss= 0.66496 train_acc= 0.68961 val_loss= 0.67927 val_acc= 0.75410 time= 0.01563
Epoch: 0054 train_loss= 0.66291 train_acc= 0.69091 val_loss= 0.67893 val_acc= 0.72131 time= 0.00000
Epoch: 0055 train_loss= 0.66230 train_acc= 0.67143 val_loss= 0.67855 val_acc= 0.72131 time= 0.01563
Epoch: 0056 train_loss= 0.66560 train_acc= 0.65195 val_loss= 0.67811 val_acc= 0.72131 time= 0.00000
Epoch: 0057 train_loss= 0.66328 train_acc= 0.66104 val_loss= 0.67796 val_acc= 0.65574 time= 0.01562
Epoch: 0058 train_loss= 0.66395 train_acc= 0.64805 val_loss= 0.67854 val_acc= 0.60656 time= 0.01563
Epoch: 0059 train_loss= 0.65947 train_acc= 0.68052 val_loss= 0.67898 val_acc= 0.63934 time= 0.00000
Epoch: 0060 train_loss= 0.66186 train_acc= 0.67792 val_loss= 0.67855 val_acc= 0.63934 time= 0.01563
Epoch: 0061 train_loss= 0.66590 train_acc= 0.62597 val_loss= 0.67635 val_acc= 0.62295 time= 0.00000
Epoch: 0062 train_loss= 0.65964 train_acc= 0.67143 val_loss= 0.67528 val_acc= 0.77049 time= 0.01563
Epoch: 0063 train_loss= 0.65832 train_acc= 0.68312 val_loss= 0.67570 val_acc= 0.65574 time= 0.01563
Epoch: 0064 train_loss= 0.66500 train_acc= 0.64416 val_loss= 0.67521 val_acc= 0.65574 time= 0.00000
Epoch: 0065 train_loss= 0.66281 train_acc= 0.63377 val_loss= 0.67385 val_acc= 0.77049 time= 0.01563
Epoch: 0066 train_loss= 0.65875 train_acc= 0.67792 val_loss= 0.67390 val_acc= 0.65574 time= 0.00000
Epoch: 0067 train_loss= 0.65670 train_acc= 0.69610 val_loss= 0.67534 val_acc= 0.63934 time= 0.01563
Epoch: 0068 train_loss= 0.66029 train_acc= 0.64286 val_loss= 0.67477 val_acc= 0.63934 time= 0.01563
Epoch: 0069 train_loss= 0.65480 train_acc= 0.68571 val_loss= 0.67372 val_acc= 0.59016 time= 0.00000
Epoch: 0070 train_loss= 0.65761 train_acc= 0.66234 val_loss= 0.67197 val_acc= 0.67213 time= 0.01563
Epoch: 0071 train_loss= 0.65557 train_acc= 0.65065 val_loss= 0.67115 val_acc= 0.68852 time= 0.00000
Epoch: 0072 train_loss= 0.65534 train_acc= 0.67143 val_loss= 0.67048 val_acc= 0.78689 time= 0.01563
Epoch: 0073 train_loss= 0.66008 train_acc= 0.64156 val_loss= 0.67012 val_acc= 0.68852 time= 0.00000
Epoch: 0074 train_loss= 0.65228 train_acc= 0.68182 val_loss= 0.66961 val_acc= 0.68852 time= 0.01563
Epoch: 0075 train_loss= 0.64931 train_acc= 0.70390 val_loss= 0.66912 val_acc= 0.67213 time= 0.01563
Epoch: 0076 train_loss= 0.65083 train_acc= 0.69870 val_loss= 0.66847 val_acc= 0.68852 time= 0.00000
Epoch: 0077 train_loss= 0.65257 train_acc= 0.68831 val_loss= 0.66816 val_acc= 0.68852 time= 0.01563
Epoch: 0078 train_loss= 0.65209 train_acc= 0.68442 val_loss= 0.66756 val_acc= 0.68852 time= 0.00000
Epoch: 0079 train_loss= 0.65237 train_acc= 0.68831 val_loss= 0.66702 val_acc= 0.78689 time= 0.01563
Epoch: 0080 train_loss= 0.65292 train_acc= 0.66234 val_loss= 0.66656 val_acc= 0.75410 time= 0.01563
Epoch: 0081 train_loss= 0.65699 train_acc= 0.66104 val_loss= 0.66656 val_acc= 0.68852 time= 0.00000
Epoch: 0082 train_loss= 0.65857 train_acc= 0.66234 val_loss= 0.66585 val_acc= 0.68852 time= 0.01563
Epoch: 0083 train_loss= 0.64844 train_acc= 0.66494 val_loss= 0.66522 val_acc= 0.70492 time= 0.00000
Epoch: 0084 train_loss= 0.64889 train_acc= 0.70519 val_loss= 0.66491 val_acc= 0.70492 time= 0.01563
Epoch: 0085 train_loss= 0.64187 train_acc= 0.66623 val_loss= 0.66439 val_acc= 0.78689 time= 0.01563
Epoch: 0086 train_loss= 0.64831 train_acc= 0.65974 val_loss= 0.66409 val_acc= 0.80328 time= 0.00000
Epoch: 0087 train_loss= 0.64354 train_acc= 0.67922 val_loss= 0.66433 val_acc= 0.73770 time= 0.01562
Epoch: 0088 train_loss= 0.64940 train_acc= 0.66753 val_loss= 0.66354 val_acc= 0.77049 time= 0.00000
Epoch: 0089 train_loss= 0.64395 train_acc= 0.67532 val_loss= 0.66307 val_acc= 0.75410 time= 0.01563
Epoch: 0090 train_loss= 0.64799 train_acc= 0.70000 val_loss= 0.66318 val_acc= 0.67213 time= 0.01563
Epoch: 0091 train_loss= 0.64321 train_acc= 0.69610 val_loss= 0.66431 val_acc= 0.62295 time= 0.00000
Epoch: 0092 train_loss= 0.64114 train_acc= 0.68831 val_loss= 0.66333 val_acc= 0.62295 time= 0.01563
Epoch: 0093 train_loss= 0.64443 train_acc= 0.68831 val_loss= 0.66261 val_acc= 0.65574 time= 0.00000
Epoch: 0094 train_loss= 0.64753 train_acc= 0.68571 val_loss= 0.66148 val_acc= 0.73770 time= 0.01563
Epoch: 0095 train_loss= 0.64607 train_acc= 0.69221 val_loss= 0.66154 val_acc= 0.73770 time= 0.01562
Epoch: 0096 train_loss= 0.64322 train_acc= 0.67403 val_loss= 0.66197 val_acc= 0.73770 time= 0.00000
Epoch: 0097 train_loss= 0.65357 train_acc= 0.65325 val_loss= 0.66077 val_acc= 0.78689 time= 0.01563
Epoch: 0098 train_loss= 0.64752 train_acc= 0.66234 val_loss= 0.66250 val_acc= 0.62295 time= 0.00000
Epoch: 0099 train_loss= 0.64584 train_acc= 0.68442 val_loss= 0.66529 val_acc= 0.59016 time= 0.01563
Early stopping...
Optimization Finished!
Test set results: cost= 0.63814 accuracy= 0.76230 time= 0.00000 
