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  1. [Epoch #0] runtime:26.22 sec., train_acc:0.9765, test_acc:1.0, loss:0.007657975008245558
  2. Weight saved.
  3.  
  4. [Epoch #1] runtime:26.8 sec., train_acc:0.995, test_acc:1.0, loss:0.001827136128267739
  5. Weight saved.
  6.  
  7. [Epoch #2] runtime:26.43 sec., train_acc:1.0, test_acc:1.0, loss:0.0006804144382404047
  8. Weight saved.
  9.  
  10. [Epoch #3] runtime:27.09 sec., train_acc:0.999, test_acc:1.0, loss:0.0006045064054706017
  11. Weight saved.
  12.  
  13. [Epoch #4] runtime:26.31 sec., train_acc:1.0, test_acc:1.0, loss:0.00026679254206464975
  14. Weight saved.
  15.  
  16. [Epoch #5] runtime:26.21 sec., train_acc:0.9995, test_acc:1.0, loss:0.00028592107389704323
  17.  
  18. [Epoch #6] runtime:26.1 sec., train_acc:0.996, test_acc:1.0, loss:0.0014059969122208714
  19.  
  20. [Epoch #7] runtime:26.31 sec., train_acc:0.9995, test_acc:1.0, loss:0.00035725385438126976
  21.  
  22. [Epoch #8] runtime:26.92 sec., train_acc:0.999, test_acc:1.0, loss:0.0005180173435146571
  23.  
  24. [Epoch #9] runtime:27.02 sec., train_acc:0.9995, test_acc:1.0, loss:0.0003742680771083542
  25.  
  26. [Epoch #10] runtime:26.7 sec., train_acc:1.0, test_acc:1.0, loss:0.00016277005753545382
  27. Weight saved.
  28.  
  29. [Epoch #11] runtime:27.01 sec., train_acc:1.0, test_acc:1.0, loss:0.00011423595523501718
  30. Weight saved.
  31.  
  32. [Epoch #12] runtime:22.49 sec., train_acc:1.0, test_acc:1.0, loss:0.00011189404160541017
  33. Weight saved.
  34.  
  35. [Epoch #13] runtime:26.44 sec., train_acc:1.0, test_acc:0.9991087344028521, loss:0.00012230606083630846
  36.  
  37. [Epoch #14] runtime:24.4 sec., train_acc:1.0, test_acc:1.0, loss:7.478662761741362e-05
  38. Weight saved.
  39.  
  40. [Epoch #15] runtime:27.17 sec., train_acc:1.0, test_acc:1.0, loss:6.739638489716526e-05
  41. Weight saved.
  42.  
  43. [Epoch #16] runtime:25.57 sec., train_acc:1.0, test_acc:1.0, loss:6.250543023952559e-05
  44. Weight saved.
  45.  
  46. [Epoch #17] runtime:26.94 sec., train_acc:1.0, test_acc:0.9946524064171123, loss:9.163764693266785e-05
  47.  
  48. [Epoch #18] runtime:27.26 sec., train_acc:1.0, test_acc:1.0, loss:3.7609594946161454e-05
  49. Weight saved.
  50.  
  51. [Epoch #19] runtime:26.19 sec., train_acc:1.0, test_acc:1.0, loss:3.586468109756425e-05
  52. Weight saved.
  53.  
  54. [Epoch #20] runtime:27.19 sec., train_acc:1.0, test_acc:1.0, loss:4.652469829261463e-05
  55.  
  56. [Epoch #21] runtime:25.97 sec., train_acc:1.0, test_acc:1.0, loss:3.397393219484002e-05
  57. Weight saved.
  58.  
  59. [Epoch #22] runtime:22.82 sec., train_acc:1.0, test_acc:1.0, loss:3.678077473955454e-05
  60.  
  61. [Epoch #23] runtime:22.82 sec., train_acc:1.0, test_acc:1.0, loss:2.5134903218486217e-05
  62. Weight saved.
  63.  
  64. [Epoch #24] runtime:26.98 sec., train_acc:0.999, test_acc:1.0, loss:0.00030412265627069245
  65.  
  66. [Epoch #25] runtime:27.06 sec., train_acc:0.9995, test_acc:0.9991087344028521, loss:0.00012620537656903252
  67.  
  68. [Epoch #26] runtime:26.98 sec., train_acc:1.0, test_acc:1.0, loss:6.048315736325094e-05
  69.  
  70. [Epoch #27] runtime:26.89 sec., train_acc:1.0, test_acc:1.0, loss:4.2277788792034696e-05
  71.  
  72. [Epoch #28] runtime:26.54 sec., train_acc:1.0, test_acc:1.0, loss:3.373975769295612e-05
  73.  
  74. [Epoch #29] runtime:27.29 sec., train_acc:1.0, test_acc:1.0, loss:3.332297806650786e-05
  75.  
  76. [Epoch #30] runtime:27.24 sec., train_acc:1.0, test_acc:1.0, loss:2.3854482032220402e-05
  77. Weight saved.
  78.  
  79. [Epoch #31] runtime:27.46 sec., train_acc:1.0, test_acc:1.0, loss:2.7951705525083526e-05
  80.  
  81. [Epoch #32] runtime:26.65 sec., train_acc:1.0, test_acc:1.0, loss:2.3089039019168923e-05
  82. Weight saved.
  83.  
  84. [Epoch #33] runtime:26.36 sec., train_acc:1.0, test_acc:0.9982174688057041, loss:3.5537964275022205e-05
  85.  
  86. [Epoch #34] runtime:26.53 sec., train_acc:1.0, test_acc:0.9973262032085561, loss:4.1066932275157344e-05
  87.  
  88. [Epoch #35] runtime:25.6 sec., train_acc:1.0, test_acc:1.0, loss:3.153901700784445e-05
  89.  
  90. [Epoch #36] runtime:26.87 sec., train_acc:1.0, test_acc:1.0, loss:2.5127649537012076e-05
  91.  
  92. [Epoch #37] runtime:26.85 sec., train_acc:1.0, test_acc:0.9991087344028521, loss:3.3286377542253834e-05
  93.  
  94. [Epoch #38] runtime:22.7 sec., train_acc:1.0, test_acc:1.0, loss:2.9861020787507187e-05
  95.  
  96. [Epoch #39] runtime:27.17 sec., train_acc:1.0, test_acc:1.0, loss:2.3229295047030973e-05
  97.  
  98. [Epoch #40] runtime:27.07 sec., train_acc:1.0, test_acc:1.0, loss:2.3896992392451466e-05
  99.  
  100. [Epoch #41] runtime:25.54 sec., train_acc:1.0, test_acc:1.0, loss:1.9602769570724376e-05
  101. Weight saved.
  102.  
  103. [Epoch #42] runtime:26.51 sec., train_acc:1.0, test_acc:1.0, loss:1.8620788996486226e-05
  104. Weight saved.
  105.  
  106. [Epoch #43] runtime:26.35 sec., train_acc:1.0, test_acc:1.0, loss:3.1571990629117866e-05
  107.  
  108. [Epoch #44] runtime:26.41 sec., train_acc:1.0, test_acc:1.0, loss:2.259330779395441e-05
  109.  
  110. [Epoch #45] runtime:27.02 sec., train_acc:1.0, test_acc:1.0, loss:1.0488712735991611e-05
  111. Weight saved.
  112.  
  113. [Epoch #46] runtime:26.98 sec., train_acc:1.0, test_acc:1.0, loss:1.8158507356758946e-05
  114.  
  115. [Epoch #47] runtime:26.83 sec., train_acc:1.0, test_acc:1.0, loss:1.89214646286473e-05
  116.  
  117. [Epoch #48] runtime:26.94 sec., train_acc:1.0, test_acc:1.0, loss:1.1586958202940423e-05
  118.  
  119. [Epoch #49] runtime:27.42 sec., train_acc:1.0, test_acc:1.0, loss:2.035478337757013e-05
  120.  
  121. Training complete. Best accuracy:1.0, Best Loss:1.0488712735991611e-05
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