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training_output_detail.txt
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epoch: 1, loss: 974.175151348114
validation accuracy: 0.3822
train accuracy: 0.38034545453678476
epoch: 2, loss: 844.6580746173859
validation accuracy: 0.5842
train accuracy: 0.5748909090822393
epoch: 3, loss: 793.9292392730713
validation accuracy: 0.6584
train accuracy: 0.6589818181731484
epoch: 4, loss: 769.5931297540665
validation accuracy: 0.6734
train accuracy: 0.6715090909177607
epoch: 5, loss: 763.2514151334763
validation accuracy: 0.7754
train accuracy: 0.7654363636797125
epoch: 6, loss: 695.4968054294586
validation accuracy: 0.9256
train accuracy: 0.9163818181384693
epoch: 7, loss: 678.7306867837906
validation accuracy: 0.9696
train accuracy: 0.9657636363809758
epoch: 8, loss: 675.07088971138
validation accuracy: 0.9632
train accuracy: 0.9574727273074063
epoch: 9, loss: 673.6467566490173
validation accuracy: 0.98
train accuracy: 0.9791272726839239
epoch: 10, loss: 672.7472479343414
validation accuracy: 0.9794
train accuracy: 0.981745454562794
epoch: 11, loss: 671.4524672031403
validation accuracy: 0.9822
train accuracy: 0.980309090865742
epoch: 12, loss: 670.8084906339645
validation accuracy: 0.9818
train accuracy: 0.9832727273074063
epoch: 13, loss: 670.6110908985138
validation accuracy: 0.9822
train accuracy: 0.9825454545021057
epoch: 14, loss: 669.9548270702362
validation accuracy: 0.9854
train accuracy: 0.9872545454892245
epoch: 15, loss: 669.1299854516983
validation accuracy: 0.9856
train accuracy: 0.9872000000173395
epoch: 16, loss: 668.8904424905777
validation accuracy: 0.9862
train accuracy: 0.9871090909264304
epoch: 17, loss: 668.7563813924789
validation accuracy: 0.981
train accuracy: 0.9793636363983155
epoch: 18, loss: 661.9876238107681
validation accuracy: 0.9902
train accuracy: 0.9917090909264304
epoch: 19, loss: 633.5465798377991
validation accuracy: 0.9878
train accuracy: 0.9885454545627941
epoch: 20, loss: 633.3064332008362
validation accuracy: 0.9816
train accuracy: 0.984945454562794
epoch: 21, loss: 632.7768821716309
validation accuracy: 0.9858
train accuracy: 0.9876727272900668
epoch: 22, loss: 632.8356018066406
validation accuracy: 0.9882
train accuracy: 0.9913818181991577
epoch: 23, loss: 632.0026396512985
validation accuracy: 0.9908
train accuracy: 0.9937272727446123
epoch: 24, loss: 632.1807043552399
validation accuracy: 0.9912
train accuracy: 0.9936909091082486
epoch: 25, loss: 631.7838374376297
validation accuracy: 0.9892
train accuracy: 0.993254545471885
epoch: 26, loss: 631.570969581604
validation accuracy: 0.9908
train accuracy: 0.9930181818355214
epoch: 27, loss: 631.7027442455292
validation accuracy: 0.9882
train accuracy: 0.9933636363809759
epoch: 28, loss: 631.0462522506714
validation accuracy: 0.9888
train accuracy: 0.9906000000346791
epoch: 29, loss: 631.6220570802689
validation accuracy: 0.988
train accuracy: 0.9902181818355213
epoch: 30, loss: 631.1383209228516
validation accuracy: 0.9928
train accuracy: 0.9943818181991577
epoch: 31, loss: 631.2880220413208
validation accuracy: 0.9918
train accuracy: 0.9936909091082486
epoch: 32, loss: 630.9531108140945
validation accuracy: 0.9906
train accuracy: 0.9953272727619518
epoch: 33, loss: 630.6788431406021
validation accuracy: 0.99
train accuracy: 0.993254545471885
epoch: 34, loss: 630.3195110559464
validation accuracy: 0.992
train accuracy: 0.9951272727446122
epoch: 35, loss: 630.3985177278519
validation accuracy: 0.993
train accuracy: 0.9956909091082486
training finished.
test accuracy: 0.9924