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  1. 1/10000 > Discriminator loss: 0.703045 | Generator loss: 0.691846
  2. 2/10000 > Discriminator loss: 0.698103 | Generator loss: 0.691786
  3. 4/10000 > Discriminator loss: 0.688168 | Generator loss: 0.691841
  4. 5/10000 > Discriminator loss: 0.690132 | Generator loss: 0.691887
  5. 6/10000 > Discriminator loss: 0.679061 | Generator loss: 0.691938
  6. 7/10000 > Discriminator loss: 0.672407 | Generator loss: 0.691995
  7. 8/10000 > Discriminator loss: 0.663869 | Generator loss: 0.692067
  8. 10/10000 > Discriminator loss: 0.671011 | Generator loss: 0.692188
  9. 11/10000 > Discriminator loss: 0.669109 | Generator loss: 0.6923
  10. 12/10000 > Discriminator loss: 0.665126 | Generator loss: 0.69241
  11. 14/10000 > Discriminator loss: 0.661236 | Generator loss: 0.692534
  12. 15/10000 > Discriminator loss: 0.652517 | Generator loss: 0.692731
  13. 16/10000 > Discriminator loss: 0.648333 | Generator loss: 0.692905
  14. 17/10000 > Discriminator loss: 0.643576 | Generator loss: 0.693134
  15. 19/10000 > Discriminator loss: 0.638047 | Generator loss: 0.693391
  16. 20/10000 > Discriminator loss: 0.635634 | Generator loss: 0.693669
  17. 21/10000 > Discriminator loss: 0.627155 | Generator loss: 0.693958
  18. 23/10000 > Discriminator loss: 0.624348 | Generator loss: 0.694359
  19. 24/10000 > Discriminator loss: 0.618557 | Generator loss: 0.694714
  20. 25/10000 > Discriminator loss: 0.6103 | Generator loss: 0.695149
  21. 26/10000 > Discriminator loss: 0.611202 | Generator loss: 0.695671
  22. 28/10000 > Discriminator loss: 0.606935 | Generator loss: 0.69608
  23. 29/10000 > Discriminator loss: 0.60005 | Generator loss: 0.696599
  24. 30/10000 > Discriminator loss: 0.590396 | Generator loss: 0.697138
  25. 31/10000 > Discriminator loss: 0.585241 | Generator loss: 0.697771
  26. 32/10000 > Discriminator loss: 0.578128 | Generator loss: 0.698542
  27. 34/10000 > Discriminator loss: 0.576871 | Generator loss: 0.699177
  28. 35/10000 > Discriminator loss: 0.567248 | Generator loss: 0.699957
  29. 37/10000 > Discriminator loss: 0.56639 | Generator loss: 0.700676
  30. 39/10000 > Discriminator loss: 0.559003 | Generator loss: 0.70157
  31. 40/10000 > Discriminator loss: 0.549694 | Generator loss: 0.702398
  32. 41/10000 > Discriminator loss: 0.542523 | Generator loss: 0.703267
  33. 43/10000 > Discriminator loss: 0.581625 | Generator loss: 0.70399
  34. 44/10000 > Discriminator loss: 0.567581 | Generator loss: 0.704669
  35. 45/10000 > Discriminator loss: 0.528279 | Generator loss: 0.705522
  36. 46/10000 > Discriminator loss: 0.539732 | Generator loss: 0.706608
  37. 48/10000 > Discriminator loss: 0.515816 | Generator loss: 0.707643
  38. 49/10000 > Discriminator loss: 0.510378 | Generator loss: 0.708693
  39. 50/10000 > Discriminator loss: 0.505084 | Generator loss: 0.709951
  40. 52/10000 > Discriminator loss: 0.50906 | Generator loss: 0.711085
  41. 53/10000 > Discriminator loss: 0.497035 | Generator loss: 0.712409
  42. 54/10000 > Discriminator loss: 0.489034 | Generator loss: 0.713799
  43. 56/10000 > Discriminator loss: 0.4912 | Generator loss: 0.715248
  44. 57/10000 > Discriminator loss: 0.475353 | Generator loss: 0.7167
  45. 59/10000 > Discriminator loss: 0.523199 | Generator loss: 0.717857
  46. 60/10000 > Discriminator loss: 0.459885 | Generator loss: 0.719393
  47. 61/10000 > Discriminator loss: 0.455941 | Generator loss: 0.721088
  48. 63/10000 > Discriminator loss: 0.457566 | Generator loss: 0.72293
  49. 65/10000 > Discriminator loss: 0.468125 | Generator loss: 0.724336
  50. 67/10000 > Discriminator loss: 0.485636 | Generator loss: 0.726098
  51. 68/10000 > Discriminator loss: 0.447524 | Generator loss: 0.727914
  52. 69/10000 > Discriminator loss: 0.457472 | Generator loss: 0.72949
  53. 71/10000 > Discriminator loss: 0.426448 | Generator loss: 0.731665
  54. 73/10000 > Discriminator loss: 0.425752 | Generator loss: 0.733672
  55. 74/10000 > Discriminator loss: 0.414003 | Generator loss: 0.735483
  56. 76/10000 > Discriminator loss: 0.427268 | Generator loss: 0.738199
  57. 77/10000 > Discriminator loss: 0.412065 | Generator loss: 0.739959
  58. 78/10000 > Discriminator loss: 0.409405 | Generator loss: 0.742791
  59. 80/10000 > Discriminator loss: 0.408175 | Generator loss: 0.744814
  60. 81/10000 > Discriminator loss: 0.396947 | Generator loss: 0.747622
  61. 82/10000 > Discriminator loss: 0.390978 | Generator loss: 0.749773
  62. 84/10000 > Discriminator loss: 0.411416 | Generator loss: 0.752256
  63. 85/10000 > Discriminator loss: 0.383795 | Generator loss: 0.754664
  64. 86/10000 > Discriminator loss: 0.376055 | Generator loss: 0.757331
  65. 88/10000 > Discriminator loss: 0.38778 | Generator loss: 0.759907
  66. 89/10000 > Discriminator loss: 0.377338 | Generator loss: 0.76306
  67. 91/10000 > Discriminator loss: 0.384327 | Generator loss: 0.765778
  68. 92/10000 > Discriminator loss: 0.36603 | Generator loss: 0.769773
  69. 93/10000 > Discriminator loss: 0.362016 | Generator loss: 0.77215
  70. 94/10000 > Discriminator loss: 0.362795 | Generator loss: 0.7749
  71. 96/10000 > Discriminator loss: 0.368078 | Generator loss: 0.778226
  72. 97/10000 > Discriminator loss: 0.349473 | Generator loss: 0.781409
  73. 99/10000 > Discriminator loss: 0.351986 | Generator loss: 0.784697
  74. 100/10000 > Discriminator loss: 0.343798 | Generator loss: 0.788463
  75. 101/10000 > Discriminator loss: 0.344171 | Generator loss: 0.791599
  76. 103/10000 > Discriminator loss: 0.38732 | Generator loss: 0.795642
  77. 104/10000 > Discriminator loss: 0.359472 | Generator loss: 0.798451
  78. 106/10000 > Discriminator loss: 0.339694 | Generator loss: 0.801367
  79. 107/10000 > Discriminator loss: 0.330421 | Generator loss: 0.805848
  80. 109/10000 > Discriminator loss: 0.330699 | Generator loss: 0.810206
  81. 110/10000 > Discriminator loss: 0.323823 | Generator loss: 0.813988
  82. 111/10000 > Discriminator loss: 0.321051 | Generator loss: 0.816479
  83. 113/10000 > Discriminator loss: 0.345018 | Generator loss: 0.820931
  84. 114/10000 > Discriminator loss: 0.320463 | Generator loss: 0.823776
  85. 115/10000 > Discriminator loss: 0.329206 | Generator loss: 0.829299
  86. 117/10000 > Discriminator loss: 0.311081 | Generator loss: 0.832765
  87. 118/10000 > Discriminator loss: 0.307156 | Generator loss: 0.836947
  88. 119/10000 > Discriminator loss: 0.305779 | Generator loss: 0.840598
  89. 120/10000 > Discriminator loss: 0.303707 | Generator loss: 0.844939
  90. 121/10000 > Discriminator loss: 0.300268 | Generator loss: 0.849665
  91. 123/10000 > Discriminator loss: 0.302388 | Generator loss: 0.853913
  92. 124/10000 > Discriminator loss: 0.297982 | Generator loss: 0.859425
  93. 125/10000 > Discriminator loss: 0.294651 | Generator loss: 0.862148
  94. 126/10000 > Discriminator loss: 0.290703 | Generator loss: 0.868636
  95. 127/10000 > Discriminator loss: 0.289556 | Generator loss: 0.874137
  96. 128/10000 > Discriminator loss: 0.289406 | Generator loss: 0.879447
  97. 130/10000 > Discriminator loss: 0.306175 | Generator loss: 0.883194
  98. 131/10000 > Discriminator loss: 0.285019 | Generator loss: 0.887505
  99. 132/10000 > Discriminator loss: 0.282056 | Generator loss: 0.892475
  100. 133/10000 > Discriminator loss: 0.275008 | Generator loss: 0.89656
  101. 135/10000 > Discriminator loss: 0.293756 | Generator loss: 0.902539
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