[Epoch #0] runtime:26.22 sec., train_acc:0.9765, test_acc:1.0, loss:0.007657975008245558
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[Epoch #1] runtime:26.8 sec., train_acc:0.995, test_acc:1.0, loss:0.001827136128267739
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[Epoch #2] runtime:26.43 sec., train_acc:1.0, test_acc:1.0, loss:0.0006804144382404047
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[Epoch #3] runtime:27.09 sec., train_acc:0.999, test_acc:1.0, loss:0.0006045064054706017
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[Epoch #4] runtime:26.31 sec., train_acc:1.0, test_acc:1.0, loss:0.00026679254206464975
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[Epoch #5] runtime:26.21 sec., train_acc:0.9995, test_acc:1.0, loss:0.00028592107389704323

[Epoch #6] runtime:26.1 sec., train_acc:0.996, test_acc:1.0, loss:0.0014059969122208714

[Epoch #7] runtime:26.31 sec., train_acc:0.9995, test_acc:1.0, loss:0.00035725385438126976

[Epoch #8] runtime:26.92 sec., train_acc:0.999, test_acc:1.0, loss:0.0005180173435146571

[Epoch #9] runtime:27.02 sec., train_acc:0.9995, test_acc:1.0, loss:0.0003742680771083542

[Epoch #10] runtime:26.7 sec., train_acc:1.0, test_acc:1.0, loss:0.00016277005753545382
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[Epoch #11] runtime:27.01 sec., train_acc:1.0, test_acc:1.0, loss:0.00011423595523501718
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[Epoch #12] runtime:22.49 sec., train_acc:1.0, test_acc:1.0, loss:0.00011189404160541017
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[Epoch #13] runtime:26.44 sec., train_acc:1.0, test_acc:0.9991087344028521, loss:0.00012230606083630846

[Epoch #14] runtime:24.4 sec., train_acc:1.0, test_acc:1.0, loss:7.478662761741362e-05
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[Epoch #15] runtime:27.17 sec., train_acc:1.0, test_acc:1.0, loss:6.739638489716526e-05
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[Epoch #16] runtime:25.57 sec., train_acc:1.0, test_acc:1.0, loss:6.250543023952559e-05
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[Epoch #17] runtime:26.94 sec., train_acc:1.0, test_acc:0.9946524064171123, loss:9.163764693266785e-05

[Epoch #18] runtime:27.26 sec., train_acc:1.0, test_acc:1.0, loss:3.7609594946161454e-05
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[Epoch #19] runtime:26.19 sec., train_acc:1.0, test_acc:1.0, loss:3.586468109756425e-05
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[Epoch #20] runtime:27.19 sec., train_acc:1.0, test_acc:1.0, loss:4.652469829261463e-05

[Epoch #21] runtime:25.97 sec., train_acc:1.0, test_acc:1.0, loss:3.397393219484002e-05
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[Epoch #22] runtime:22.82 sec., train_acc:1.0, test_acc:1.0, loss:3.678077473955454e-05

[Epoch #23] runtime:22.82 sec., train_acc:1.0, test_acc:1.0, loss:2.5134903218486217e-05
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[Epoch #24] runtime:26.98 sec., train_acc:0.999, test_acc:1.0, loss:0.00030412265627069245

[Epoch #25] runtime:27.06 sec., train_acc:0.9995, test_acc:0.9991087344028521, loss:0.00012620537656903252

[Epoch #26] runtime:26.98 sec., train_acc:1.0, test_acc:1.0, loss:6.048315736325094e-05

[Epoch #27] runtime:26.89 sec., train_acc:1.0, test_acc:1.0, loss:4.2277788792034696e-05

[Epoch #28] runtime:26.54 sec., train_acc:1.0, test_acc:1.0, loss:3.373975769295612e-05

[Epoch #29] runtime:27.29 sec., train_acc:1.0, test_acc:1.0, loss:3.332297806650786e-05

[Epoch #30] runtime:27.24 sec., train_acc:1.0, test_acc:1.0, loss:2.3854482032220402e-05
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[Epoch #31] runtime:27.46 sec., train_acc:1.0, test_acc:1.0, loss:2.7951705525083526e-05

[Epoch #32] runtime:26.65 sec., train_acc:1.0, test_acc:1.0, loss:2.3089039019168923e-05
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[Epoch #33] runtime:26.36 sec., train_acc:1.0, test_acc:0.9982174688057041, loss:3.5537964275022205e-05

[Epoch #34] runtime:26.53 sec., train_acc:1.0, test_acc:0.9973262032085561, loss:4.1066932275157344e-05

[Epoch #35] runtime:25.6 sec., train_acc:1.0, test_acc:1.0, loss:3.153901700784445e-05

[Epoch #36] runtime:26.87 sec., train_acc:1.0, test_acc:1.0, loss:2.5127649537012076e-05

[Epoch #37] runtime:26.85 sec., train_acc:1.0, test_acc:0.9991087344028521, loss:3.3286377542253834e-05

[Epoch #38] runtime:22.7 sec., train_acc:1.0, test_acc:1.0, loss:2.9861020787507187e-05

[Epoch #39] runtime:27.17 sec., train_acc:1.0, test_acc:1.0, loss:2.3229295047030973e-05

[Epoch #40] runtime:27.07 sec., train_acc:1.0, test_acc:1.0, loss:2.3896992392451466e-05

[Epoch #41] runtime:25.54 sec., train_acc:1.0, test_acc:1.0, loss:1.9602769570724376e-05
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[Epoch #42] runtime:26.51 sec., train_acc:1.0, test_acc:1.0, loss:1.8620788996486226e-05
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[Epoch #43] runtime:26.35 sec., train_acc:1.0, test_acc:1.0, loss:3.1571990629117866e-05

[Epoch #44] runtime:26.41 sec., train_acc:1.0, test_acc:1.0, loss:2.259330779395441e-05

[Epoch #45] runtime:27.02 sec., train_acc:1.0, test_acc:1.0, loss:1.0488712735991611e-05
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[Epoch #46] runtime:26.98 sec., train_acc:1.0, test_acc:1.0, loss:1.8158507356758946e-05

[Epoch #47] runtime:26.83 sec., train_acc:1.0, test_acc:1.0, loss:1.89214646286473e-05

[Epoch #48] runtime:26.94 sec., train_acc:1.0, test_acc:1.0, loss:1.1586958202940423e-05

[Epoch #49] runtime:27.42 sec., train_acc:1.0, test_acc:1.0, loss:2.035478337757013e-05

Training complete. Best accuracy:1.0, Best Loss:1.0488712735991611e-05