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GPU TensorFlow Log

raddeee
Feb 19th, 2021
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  1. C:\Users\radiu\anaconda3\envs\tensorflow-gpu-py38\python.exe C:/Users/radiu/PycharmProjects/tensorflow-gpu-py38/main.py
  2. 2021-02-19 20:26:07.870722: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
  3. Found 2000 images belonging to 2 classes.
  4. Found 1000 images belonging to 2 classes.
  5. 2021-02-19 20:26:12.066639: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library nvcuda.dll
  6. 2021-02-19 20:26:12.089437: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
  7. pciBusID: 0000:01:00.0 name: GeForce RTX 3070 computeCapability: 8.6
  8. coreClock: 1.755GHz coreCount: 46 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
  9. 2021-02-19 20:26:12.089834: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
  10. 2021-02-19 20:26:12.095293: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
  11. 2021-02-19 20:26:12.099282: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
  12. 2021-02-19 20:26:12.100702: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
  13. 2021-02-19 20:26:12.105281: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
  14. 2021-02-19 20:26:12.108402: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
  15. 2021-02-19 20:26:12.117496: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
  16. 2021-02-19 20:26:12.117774: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
  17. 2021-02-19 20:26:12.118312: I tensorflow/core/platform/cpu_feature_guard.cc:142] Your CPU supports instructions that this TensorFlow binary was not compiled to use: AVX AVX2
  18. 2021-02-19 20:26:12.178514: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1555] Found device 0 with properties:
  19. pciBusID: 0000:01:00.0 name: GeForce RTX 3070 computeCapability: 8.6
  20. coreClock: 1.755GHz coreCount: 46 deviceMemorySize: 8.00GiB deviceMemoryBandwidth: 417.29GiB/s
  21. 2021-02-19 20:26:12.178914: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudart64_101.dll
  22. 2021-02-19 20:26:12.179106: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
  23. 2021-02-19 20:26:12.179331: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cufft64_10.dll
  24. 2021-02-19 20:26:12.179529: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library curand64_10.dll
  25. 2021-02-19 20:26:12.179735: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusolver64_10.dll
  26. 2021-02-19 20:26:12.179937: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cusparse64_10.dll
  27. 2021-02-19 20:26:12.180136: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
  28. 2021-02-19 20:26:12.180673: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1697] Adding visible gpu devices: 0
  29. 2021-02-19 20:31:34.442459: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1096] Device interconnect StreamExecutor with strength 1 edge matrix:
  30. 2021-02-19 20:31:34.442674: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1102] 0
  31. 2021-02-19 20:31:34.442809: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1115] 0: N
  32. 2021-02-19 20:31:34.443119: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1241] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 6254 MB memory) -> physical GPU (device: 0, name: GeForce RTX 3070, pci bus id: 0000:01:00.0, compute capability: 8.6)
  33. WARNING:tensorflow:From C:/Users/radiu/PycharmProjects/tensorflow-gpu-py38/main.py:75: Model.fit_generator (from tensorflow.python.keras.engine.training) is deprecated and will be removed in a future version.
  34. Instructions for updating:
  35. Please use Model.fit, which supports generators.
  36. Model: "sequential"
  37. _________________________________________________________________
  38. Layer (type) Output Shape Param #
  39. =================================================================
  40. conv2d (Conv2D) (None, 150, 150, 16) 448
  41. _________________________________________________________________
  42. max_pooling2d (MaxPooling2D) (None, 75, 75, 16) 0
  43. _________________________________________________________________
  44. conv2d_1 (Conv2D) (None, 75, 75, 32) 4640
  45. _________________________________________________________________
  46. max_pooling2d_1 (MaxPooling2 (None, 37, 37, 32) 0
  47. _________________________________________________________________
  48. conv2d_2 (Conv2D) (None, 37, 37, 64) 18496
  49. _________________________________________________________________
  50. max_pooling2d_2 (MaxPooling2 (None, 18, 18, 64) 0
  51. _________________________________________________________________
  52. flatten (Flatten) (None, 20736) 0
  53. _________________________________________________________________
  54. dense (Dense) (None, 512) 10617344
  55. _________________________________________________________________
  56. dense_1 (Dense) (None, 1) 513
  57. =================================================================
  58. Total params: 10,641,441
  59. Trainable params: 10,641,441
  60. Non-trainable params: 0
  61. _________________________________________________________________
  62. WARNING:tensorflow:sample_weight modes were coerced from
  63. ...
  64. to
  65. ['...']
  66. WARNING:tensorflow:sample_weight modes were coerced from
  67. ...
  68. to
  69. ['...']
  70. Train for 15 steps, validate for 7 steps
  71. Epoch 1/15
  72. 2021-02-19 20:31:36.080061: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cublas64_10.dll
  73. 2021-02-19 20:33:27.032042: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library cudnn64_7.dll
  74. 2021-02-19 20:51:21.308732: W tensorflow/stream_executor/gpu/redzone_allocator.cc:312] Internal: Invoking GPU asm compilation is supported on Cuda non-Windows platforms only
  75. Relying on driver to perform ptx compilation. This message will be only logged once.
  76.  
  77. 1/15 [=>............................] - ETA: 4:36:47 - loss: 0.6931 - accuracy: 0.4609
  78. 3/15 [=====>........................] - ETA: 1:19:05 - loss: 0.6932 - accuracy: 0.4609
  79. 5/15 [=========>....................] - ETA: 39:32 - loss: 0.6919 - accuracy: 0.4719
  80. 7/15 [=============>................] - ETA: 22:35 - loss: 0.6908 - accuracy: 0.4833
  81. 9/15 [=================>............] - ETA: 13:11 - loss: 0.6942 - accuracy: 0.4826
  82. 10/15 [===================>..........] - ETA: 9:53 - loss: 0.6936 - accuracy: 0.4844
  83. 11/15 [=====================>........] - ETA: 7:11 - loss: 0.6959 - accuracy: 0.4872
  84. 12/15 [=======================>......] - ETA: 4:56 - loss: 0.6952 - accuracy: 0.4857
  85. 13/15 [=========================>....] - ETA: 3:02 - loss: 0.6962 - accuracy: 0.4856
  86. 14/15 [===========================>..] - ETA: 1:24 - loss: 0.6957 - accuracy: 0.4855
  87. 15/15 [==============================] - 1191s 79s/step - loss: 0.7111 - accuracy: 0.4866 - val_loss: 2.3850 - val_accuracy: 0.4955
  88. Epoch 2/15
  89.  
  90. 1/15 [=>............................] - ETA: 5s - loss: 0.9899 - accuracy: 0.4844
  91. 2/15 [===>..........................] - ETA: 4s - loss: 0.9314 - accuracy: 0.5156
  92. 3/15 [=====>........................] - ETA: 3s - loss: 0.9196 - accuracy: 0.4740
  93. 4/15 [=======>......................] - ETA: 3s - loss: 0.8973 - accuracy: 0.4922
  94. 5/15 [=========>....................] - ETA: 2s - loss: 0.8908 - accuracy: 0.4938
  95. 6/15 [===========>..................] - ETA: 2s - loss: 0.8851 - accuracy: 0.4935
  96. 7/15 [=============>................] - ETA: 2s - loss: 0.8765 - accuracy: 0.5033
  97. 8/15 [===============>..............] - ETA: 2s - loss: 0.8702 - accuracy: 0.5029
  98. 9/15 [=================>............] - ETA: 1s - loss: 0.8565 - accuracy: 0.5017
  99. 10/15 [===================>..........] - ETA: 1s - loss: 0.8402 - accuracy: 0.5047
  100. 11/15 [=====================>........] - ETA: 1s - loss: 0.8308 - accuracy: 0.5028
  101. 12/15 [=======================>......] - ETA: 0s - loss: 0.8275 - accuracy: 0.4980
  102. 13/15 [=========================>....] - ETA: 0s - loss: 0.8200 - accuracy: 0.4963
  103. 14/15 [===========================>..] - ETA: 0s - loss: 0.8240 - accuracy: 0.4908
  104. 15/15 [==============================] - 6s 412ms/step - loss: 0.8226 - accuracy: 0.4947 - val_loss: 0.9506 - val_accuracy: 0.5011
  105. Epoch 3/15
  106.  
  107. 1/15 [=>............................] - ETA: 5s - loss: 0.7239 - accuracy: 0.5078
  108. 2/15 [===>..........................] - ETA: 4s - loss: 0.6982 - accuracy: 0.5234
  109. 3/15 [=====>........................] - ETA: 3s - loss: 0.6978 - accuracy: 0.5260
  110. 4/15 [=======>......................] - ETA: 3s - loss: 0.6989 - accuracy: 0.5176
  111. 5/15 [=========>....................] - ETA: 2s - loss: 0.7038 - accuracy: 0.5266
  112. 6/15 [===========>..................] - ETA: 2s - loss: 0.7095 - accuracy: 0.5156
  113. 7/15 [=============>................] - ETA: 2s - loss: 0.7078 - accuracy: 0.5112
  114. 8/15 [===============>..............] - ETA: 2s - loss: 0.7055 - accuracy: 0.5215
  115. 9/15 [=================>............] - ETA: 1s - loss: 0.7022 - accuracy: 0.5200
  116. 10/15 [===================>..........] - ETA: 1s - loss: 0.7029 - accuracy: 0.5125
  117. 11/15 [=====================>........] - ETA: 1s - loss: 0.8003 - accuracy: 0.5103
  118. 12/15 [=======================>......] - ETA: 0s - loss: 0.7913 - accuracy: 0.5101
  119. 13/15 [=========================>....] - ETA: 0s - loss: 0.7831 - accuracy: 0.5080
  120. 14/15 [===========================>..] - ETA: 0s - loss: 0.7777 - accuracy: 0.5120
  121. 15/15 [==============================] - 6s 414ms/step - loss: 0.7743 - accuracy: 0.5085 - val_loss: 13.7192 - val_accuracy: 0.5011
  122. Epoch 4/15
  123.  
  124. 1/15 [=>............................] - ETA: 5s - loss: 0.7027 - accuracy: 0.5078
  125. 2/15 [===>..........................] - ETA: 4s - loss: 0.7138 - accuracy: 0.5117
  126. 3/15 [=====>........................] - ETA: 3s - loss: 0.7212 - accuracy: 0.5026
  127. 4/15 [=======>......................] - ETA: 3s - loss: 0.7140 - accuracy: 0.5098
  128. 5/15 [=========>....................] - ETA: 3s - loss: 0.7159 - accuracy: 0.5172
  129. 6/15 [===========>..................] - ETA: 2s - loss: 0.7172 - accuracy: 0.5078
  130. 7/15 [=============>................] - ETA: 2s - loss: 0.7161 - accuracy: 0.5056
  131. 8/15 [===============>..............] - ETA: 2s - loss: 0.7122 - accuracy: 0.5029
  132. 9/15 [=================>............] - ETA: 1s - loss: 0.7110 - accuracy: 0.5035
  133. 10/15 [===================>..........] - ETA: 1s - loss: 0.7094 - accuracy: 0.5086
  134. 11/15 [=====================>........] - ETA: 1s - loss: 0.7086 - accuracy: 0.5099
  135. 12/15 [=======================>......] - ETA: 0s - loss: 0.7083 - accuracy: 0.5059
  136. 13/15 [=========================>....] - ETA: 0s - loss: 0.7083 - accuracy: 0.5024
  137. 14/15 [===========================>..] - ETA: 0s - loss: 0.7072 - accuracy: 0.5100
  138. 15/15 [==============================] - 6s 430ms/step - loss: 0.7057 - accuracy: 0.5073 - val_loss: 27.3969 - val_accuracy: 0.5011
  139. Epoch 5/15
  140.  
  141. 1/15 [=>............................] - ETA: 5s - loss: 0.6827 - accuracy: 0.5547
  142. 2/15 [===>..........................] - ETA: 3s - loss: 10.1883 - accuracy: 0.5240
  143. 3/15 [=====>........................] - ETA: 3s - loss: 7.0291 - accuracy: 0.5000
  144. 4/15 [=======>......................] - ETA: 3s - loss: 5.4377 - accuracy: 0.4957
  145. 5/15 [=========>....................] - ETA: 2s - loss: 4.4940 - accuracy: 0.4899
  146. 6/15 [===========>..................] - ETA: 2s - loss: 3.8604 - accuracy: 0.4986
  147. 7/15 [=============>................] - ETA: 2s - loss: 3.4116 - accuracy: 0.4988
  148. 8/15 [===============>..............] - ETA: 1s - loss: 3.0748 - accuracy: 0.5010
  149. 9/15 [=================>............] - ETA: 1s - loss: 2.8144 - accuracy: 0.5063
  150. 10/15 [===================>..........] - ETA: 1s - loss: 2.6033 - accuracy: 0.5049
  151. 11/15 [=====================>........] - ETA: 1s - loss: 2.4295 - accuracy: 0.5007
  152. 12/15 [=======================>......] - ETA: 0s - loss: 2.2871 - accuracy: 0.5034
  153. 13/15 [=========================>....] - ETA: 0s - loss: 2.1682 - accuracy: 0.5056
  154. 14/15 [===========================>..] - ETA: 0s - loss: 2.0659 - accuracy: 0.5040
  155. 15/15 [==============================] - 6s 419ms/step - loss: 1.9475 - accuracy: 0.4952 - val_loss: 27.7552 - val_accuracy: 0.4989
  156. Epoch 6/15
  157.  
  158. 1/15 [=>............................] - ETA: 5s - loss: 0.6628 - accuracy: 0.5781
  159. 2/15 [===>..........................] - ETA: 4s - loss: 0.6886 - accuracy: 0.5469
  160. 3/15 [=====>........................] - ETA: 3s - loss: 0.7001 - accuracy: 0.5208
  161. 4/15 [=======>......................] - ETA: 3s - loss: 0.7020 - accuracy: 0.5137
  162. 5/15 [=========>....................] - ETA: 3s - loss: 0.7009 - accuracy: 0.5078
  163. 6/15 [===========>..................] - ETA: 2s - loss: 0.7039 - accuracy: 0.5052
  164. 7/15 [=============>................] - ETA: 2s - loss: 0.7055 - accuracy: 0.5100
  165. 8/15 [===============>..............] - ETA: 2s - loss: 0.7052 - accuracy: 0.5137
  166. 9/15 [=================>............] - ETA: 1s - loss: 0.7048 - accuracy: 0.4991
  167. 10/15 [===================>..........] - ETA: 1s - loss: 0.7055 - accuracy: 0.5016
  168. 11/15 [=====================>........] - ETA: 1s - loss: 0.7039 - accuracy: 0.5050
  169. 12/15 [=======================>......] - ETA: 0s - loss: 5.2880 - accuracy: 0.5060
  170. 13/15 [=========================>....] - ETA: 0s - loss: 4.9343 - accuracy: 0.5111
  171. 14/15 [===========================>..] - ETA: 0s - loss: 4.6317 - accuracy: 0.5075
  172. 15/15 [==============================] - 6s 415ms/step - loss: 4.2868 - accuracy: 0.5043 - val_loss: 8.4724 - val_accuracy: 0.4989
  173. Epoch 7/15
  174.  
  175. 1/15 [=>............................] - ETA: 5s - loss: 0.6958 - accuracy: 0.4609
  176. 2/15 [===>..........................] - ETA: 4s - loss: 0.6927 - accuracy: 0.4961
  177. 3/15 [=====>........................] - ETA: 3s - loss: 0.6917 - accuracy: 0.4974
  178. 4/15 [=======>......................] - ETA: 3s - loss: 0.6924 - accuracy: 0.5039
  179. 5/15 [=========>....................] - ETA: 3s - loss: 0.6913 - accuracy: 0.4984
  180. 6/15 [===========>..................] - ETA: 2s - loss: 0.6913 - accuracy: 0.4961
  181. 7/15 [=============>................] - ETA: 2s - loss: 0.6918 - accuracy: 0.4989
  182. 8/15 [===============>..............] - ETA: 2s - loss: 0.6930 - accuracy: 0.5039
  183. 9/15 [=================>............] - ETA: 1s - loss: 0.6932 - accuracy: 0.5035
  184. 10/15 [===================>..........] - ETA: 1s - loss: 6.5418 - accuracy: 0.5016
  185. 11/15 [=====================>........] - ETA: 1s - loss: 6.0104 - accuracy: 0.5037
  186. 12/15 [=======================>......] - ETA: 0s - loss: 5.5679 - accuracy: 0.4980
  187. 13/15 [=========================>....] - ETA: 0s - loss: 5.1929 - accuracy: 0.4938
  188. 14/15 [===========================>..] - ETA: 0s - loss: 4.8713 - accuracy: 0.5029
  189. 15/15 [==============================] - 6s 413ms/step - loss: 4.5053 - accuracy: 0.5011 - val_loss: 5.1177 - val_accuracy: 0.5067
  190. Epoch 8/15
  191.  
  192. 1/15 [=>............................] - ETA: 5s - loss: 0.6903 - accuracy: 0.6172
  193. 2/15 [===>..........................] - ETA: 4s - loss: 0.6924 - accuracy: 0.5508
  194. 3/15 [=====>........................] - ETA: 3s - loss: 0.6927 - accuracy: 0.5286
  195. 4/15 [=======>......................] - ETA: 3s - loss: 0.6928 - accuracy: 0.5156
  196. 5/15 [=========>....................] - ETA: 2s - loss: 0.6929 - accuracy: 0.5047
  197. 6/15 [===========>..................] - ETA: 2s - loss: 0.6929 - accuracy: 0.4961
  198. 7/15 [=============>................] - ETA: 2s - loss: 0.6927 - accuracy: 0.5045
  199. 8/15 [===============>..............] - ETA: 2s - loss: 0.6926 - accuracy: 0.5088
  200. 9/15 [=================>............] - ETA: 1s - loss: 0.6926 - accuracy: 0.5026
  201. 10/15 [===================>..........] - ETA: 1s - loss: 0.6926 - accuracy: 0.5047
  202. 11/15 [=====================>........] - ETA: 1s - loss: 0.6926 - accuracy: 0.5043
  203. 12/15 [=======================>......] - ETA: 0s - loss: 0.6926 - accuracy: 0.5046
  204. 13/15 [=========================>....] - ETA: 0s - loss: 0.6926 - accuracy: 0.5090
  205. 14/15 [===========================>..] - ETA: 0s - loss: 0.6926 - accuracy: 0.5067
  206. 15/15 [==============================] - 6s 414ms/step - loss: 6.7112 - accuracy: 0.5075 - val_loss: 36.0173 - val_accuracy: 0.4989
  207. Epoch 9/15
  208.  
  209. 1/15 [=>............................] - ETA: 5s - loss: 0.6929 - accuracy: 0.4922
  210. 2/15 [===>..........................] - ETA: 4s - loss: 0.6927 - accuracy: 0.5039
  211. 3/15 [=====>........................] - ETA: 3s - loss: 0.6928 - accuracy: 0.4922
  212. 4/15 [=======>......................] - ETA: 3s - loss: 0.6927 - accuracy: 0.5020
  213. 5/15 [=========>....................] - ETA: 2s - loss: 0.6930 - accuracy: 0.4922
  214. 6/15 [===========>..................] - ETA: 2s - loss: 0.6928 - accuracy: 0.5013
  215. 7/15 [=============>................] - ETA: 2s - loss: 0.6927 - accuracy: 0.4955
  216. 8/15 [===============>..............] - ETA: 2s - loss: 0.6926 - accuracy: 0.5127
  217. 9/15 [=================>............] - ETA: 1s - loss: 0.6927 - accuracy: 0.5182
  218. 10/15 [===================>..........] - ETA: 1s - loss: 6.6813 - accuracy: 0.5154
  219. 11/15 [=====================>........] - ETA: 1s - loss: 6.1369 - accuracy: 0.5132
  220. 12/15 [=======================>......] - ETA: 0s - loss: 5.6833 - accuracy: 0.5101
  221. 13/15 [=========================>....] - ETA: 0s - loss: 5.2995 - accuracy: 0.5068
  222. 14/15 [===========================>..] - ETA: 0s - loss: 4.9704 - accuracy: 0.5069
  223. 15/15 [==============================] - 6s 415ms/step - loss: 4.5957 - accuracy: 0.5043 - val_loss: 17.4987 - val_accuracy: 0.4989
  224. Epoch 10/15
  225.  
  226. 1/15 [=>............................] - ETA: 5s - loss: 0.6928 - accuracy: 0.4688
  227. 2/15 [===>..........................] - ETA: 4s - loss: 0.6929 - accuracy: 0.4766
  228. 3/15 [=====>........................] - ETA: 3s - loss: 0.6930 - accuracy: 0.4974
  229. 4/15 [=======>......................] - ETA: 3s - loss: 0.6929 - accuracy: 0.5020
  230. 5/15 [=========>....................] - ETA: 2s - loss: 0.6929 - accuracy: 0.5094
  231. 6/15 [===========>..................] - ETA: 2s - loss: 0.6929 - accuracy: 0.5091
  232. 7/15 [=============>................] - ETA: 2s - loss: 16.0039 - accuracy: 0.5106
  233. 8/15 [===============>..............] - ETA: 1s - loss: 14.0901 - accuracy: 0.5041
  234. 9/15 [=================>............] - ETA: 1s - loss: 12.6016 - accuracy: 0.5000
  235. 10/15 [===================>..........] - ETA: 1s - loss: 11.4107 - accuracy: 0.4976
  236. 11/15 [=====================>........] - ETA: 1s - loss: 10.4364 - accuracy: 0.5088
  237. 12/15 [=======================>......] - ETA: 0s - loss: 9.6245 - accuracy: 0.5067
  238. 13/15 [=========================>....] - ETA: 0s - loss: 8.9374 - accuracy: 0.5111
  239. 14/15 [===========================>..] - ETA: 0s - loss: 8.3486 - accuracy: 0.5075
  240. 15/15 [==============================] - 6s 415ms/step - loss: 7.6779 - accuracy: 0.5096 - val_loss: 14.7165 - val_accuracy: 0.4955
  241. Epoch 11/15
  242.  
  243. 1/15 [=>............................] - ETA: 5s - loss: 0.6932 - accuracy: 0.4688
  244. 2/15 [===>..........................] - ETA: 4s - loss: 0.6931 - accuracy: 0.5078
  245. 3/15 [=====>........................] - ETA: 3s - loss: 0.6931 - accuracy: 0.5104
  246. 4/15 [=======>......................] - ETA: 3s - loss: 0.6931 - accuracy: 0.5117
  247. 5/15 [=========>....................] - ETA: 3s - loss: 0.6931 - accuracy: 0.5063
  248. 6/15 [===========>..................] - ETA: 2s - loss: 0.6931 - accuracy: 0.4987
  249. 7/15 [=============>................] - ETA: 2s - loss: 0.6931 - accuracy: 0.5033
  250. 8/15 [===============>..............] - ETA: 2s - loss: 0.6930 - accuracy: 0.5176
  251. 9/15 [=================>............] - ETA: 1s - loss: 0.6930 - accuracy: 0.5165
  252. 10/15 [===================>..........] - ETA: 1s - loss: 0.6930 - accuracy: 0.5164
  253. 11/15 [=====================>........] - ETA: 1s - loss: 0.6930 - accuracy: 0.5156
  254. 12/15 [=======================>......] - ETA: 0s - loss: 0.6931 - accuracy: 0.5111
  255. 13/15 [=========================>....] - ETA: 0s - loss: 0.6931 - accuracy: 0.5096
  256. 14/15 [===========================>..] - ETA: 0s - loss: 0.6931 - accuracy: 0.5073
  257. 15/15 [==============================] - 6s 413ms/step - loss: 10.9258 - accuracy: 0.5059 - val_loss: 47.9643 - val_accuracy: 0.5011
  258. Epoch 12/15
  259.  
  260. 1/15 [=>............................] - ETA: 5s - loss: 0.6917 - accuracy: 0.6172
  261. 2/15 [===>..........................] - ETA: 4s - loss: 0.6923 - accuracy: 0.5664
  262. 3/15 [=====>........................] - ETA: 3s - loss: 0.6928 - accuracy: 0.5312
  263. 4/15 [=======>......................] - ETA: 3s - loss: 0.6929 - accuracy: 0.5254
  264. 5/15 [=========>....................] - ETA: 2s - loss: 0.6929 - accuracy: 0.5172
  265. 6/15 [===========>..................] - ETA: 2s - loss: 0.6931 - accuracy: 0.5078
  266. 7/15 [=============>................] - ETA: 2s - loss: 0.6930 - accuracy: 0.5112
  267. 8/15 [===============>..............] - ETA: 2s - loss: 0.6931 - accuracy: 0.5068
  268. 9/15 [=================>............] - ETA: 1s - loss: 12.6320 - accuracy: 0.5082
  269. 10/15 [===================>..........] - ETA: 1s - loss: 11.4381 - accuracy: 0.5081
  270. 11/15 [=====================>........] - ETA: 1s - loss: 10.4612 - accuracy: 0.5118
  271. 12/15 [=======================>......] - ETA: 0s - loss: 9.6472 - accuracy: 0.5121
  272. 13/15 [=========================>....] - ETA: 0s - loss: 8.9584 - accuracy: 0.5124
  273. 14/15 [===========================>..] - ETA: 0s - loss: 8.3681 - accuracy: 0.5057
  274. 15/15 [==============================] - 6s 412ms/step - loss: 7.6957 - accuracy: 0.5048 - val_loss: 20.0849 - val_accuracy: 0.5078
  275. Epoch 13/15
  276.  
  277. 1/15 [=>............................] - ETA: 5s - loss: 0.6933 - accuracy: 0.4922
  278. 2/15 [===>..........................] - ETA: 4s - loss: 0.6931 - accuracy: 0.5039
  279. 3/15 [=====>........................] - ETA: 3s - loss: 0.6931 - accuracy: 0.5078
  280. 4/15 [=======>......................] - ETA: 3s - loss: 0.6932 - accuracy: 0.4961
  281. 5/15 [=========>....................] - ETA: 2s - loss: 0.6933 - accuracy: 0.4891
  282. 6/15 [===========>..................] - ETA: 2s - loss: 0.6934 - accuracy: 0.4844
  283. 7/15 [=============>................] - ETA: 2s - loss: 0.6934 - accuracy: 0.4844
  284. 8/15 [===============>..............] - ETA: 2s - loss: 0.6933 - accuracy: 0.4922
  285. 9/15 [=================>............] - ETA: 1s - loss: 0.6931 - accuracy: 0.5061
  286. 10/15 [===================>..........] - ETA: 1s - loss: 16.5753 - accuracy: 0.5041
  287. 11/15 [=====================>........] - ETA: 1s - loss: 15.1314 - accuracy: 0.5051
  288. 12/15 [=======================>......] - ETA: 0s - loss: 13.9283 - accuracy: 0.5027
  289. 13/15 [=========================>....] - ETA: 0s - loss: 12.9102 - accuracy: 0.4963
  290. 14/15 [===========================>..] - ETA: 0s - loss: 12.0376 - accuracy: 0.4989
  291. 15/15 [==============================] - 6s 415ms/step - loss: 11.0437 - accuracy: 0.4995 - val_loss: 19.5924 - val_accuracy: 0.4967
  292. Epoch 14/15
  293.  
  294. 1/15 [=>............................] - ETA: 5s - loss: 0.6929 - accuracy: 0.5312
  295. 2/15 [===>..........................] - ETA: 4s - loss: 0.6931 - accuracy: 0.5039
  296. 3/15 [=====>........................] - ETA: 3s - loss: 0.6931 - accuracy: 0.5078
  297. 4/15 [=======>......................] - ETA: 3s - loss: 0.6931 - accuracy: 0.5039
  298. 5/15 [=========>....................] - ETA: 2s - loss: 0.6931 - accuracy: 0.5063
  299. 6/15 [===========>..................] - ETA: 2s - loss: 0.6931 - accuracy: 0.5065
  300. 7/15 [=============>................] - ETA: 2s - loss: 0.6932 - accuracy: 0.4944
  301. 8/15 [===============>..............] - ETA: 1s - loss: 0.6932 - accuracy: 0.4971
  302. 9/15 [=================>............] - ETA: 1s - loss: 0.6932 - accuracy: 0.4931
  303. 10/15 [===================>..........] - ETA: 1s - loss: 23.8496 - accuracy: 0.4951
  304. 11/15 [=====================>........] - ETA: 1s - loss: 21.7445 - accuracy: 0.5000
  305. 12/15 [=======================>......] - ETA: 0s - loss: 19.9902 - accuracy: 0.4966
  306. 13/15 [=========================>....] - ETA: 0s - loss: 18.5058 - accuracy: 0.4938
  307. 14/15 [===========================>..] - ETA: 0s - loss: 17.2335 - accuracy: 0.4931
  308. 15/15 [==============================] - 6s 410ms/step - loss: 15.7844 - accuracy: 0.5016 - val_loss: 15.9725 - val_accuracy: 0.4989
  309. Epoch 15/15
  310.  
  311. 1/15 [=>............................] - ETA: 5s - loss: 0.6933 - accuracy: 0.4609
  312. 2/15 [===>..........................] - ETA: 4s - loss: 0.6932 - accuracy: 0.4844
  313. 3/15 [=====>........................] - ETA: 3s - loss: 0.6930 - accuracy: 0.5286
  314. 4/15 [=======>......................] - ETA: 3s - loss: 0.6930 - accuracy: 0.5234
  315. 5/15 [=========>....................] - ETA: 2s - loss: 0.6931 - accuracy: 0.5172
  316. 6/15 [===========>..................] - ETA: 2s - loss: 0.6931 - accuracy: 0.5078
  317. 7/15 [=============>................] - ETA: 2s - loss: 9.3775 - accuracy: 0.5047
  318. 8/15 [===============>..............] - ETA: 1s - loss: 8.2920 - accuracy: 0.5010
  319. 9/15 [=================>............] - ETA: 1s - loss: 7.4477 - accuracy: 0.5027
  320. 10/15 [===================>..........] - ETA: 1s - loss: 6.7722 - accuracy: 0.5008
  321. 11/15 [=====================>........] - ETA: 1s - loss: 6.2196 - accuracy: 0.5022
  322. 12/15 [=======================>......] - ETA: 0s - loss: 5.7591 - accuracy: 0.4987
  323. 13/15 [=========================>....] - ETA: 0s - loss: 5.3694 - accuracy: 0.5012
  324. 14/15 [===========================>..] - ETA: 0s - loss: 5.0354 - accuracy: 0.4954
  325. 15/15 [==============================] - 6s 414ms/step - loss: 4.6550 - accuracy: 0.4968 - val_loss: 76.2229 - val_accuracy: 0.4989
  326. 2021-02-19 20:52:53.517549: W tensorflow/core/kernels/data/generator_dataset_op.cc:103] Error occurred when finalizing GeneratorDataset iterator: Cancelled: Operation was cancelled
  327.  
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