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output_small.txt
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output_small.txt
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Starting with new graph.
Epoch 1/60 Batch 20/77 Inputs (000) 2 - Loss: 2.412 - Validation loss: 2.341
Epoch 1/60 Batch 40/77 Inputs (000) 4 - Loss: 2.187 - Validation loss: 1.963
Epoch 1/60 Batch 60/77 Inputs (000) 7 - Loss: 1.947 - Validation loss: 1.734
Epoch 1/60 Batch 77/77 Inputs (000) 9 - Loss: 1.837 - Validation loss: 1.610
Saving graph...
Model Trained in 0h:0m:5s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 0.0%
Batch 20/78 - Accuracy: 0.0%
Batch 30/78 - Accuracy: 0.0%
Batch 40/78 - Accuracy: 0.0%
Batch 50/78 - Accuracy: 0.0%
Batch 60/78 - Accuracy: 0.0%
Batch 70/78 - Accuracy: 0.0%
Final accuracy = 0.0%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 2/60 Batch 20/77 Inputs (000) 12 - Loss: 1.572 - Validation loss: 1.480
Epoch 2/60 Batch 40/77 Inputs (000) 14 - Loss: 1.577 - Validation loss: 1.360
Epoch 2/60 Batch 60/77 Inputs (000) 17 - Loss: 1.488 - Validation loss: 1.252
Epoch 2/60 Batch 77/77 Inputs (000) 19 - Loss: 1.365 - Validation loss: 1.173
Saving graph...
Model Trained in 0h:0m:20s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 4.8%
Batch 20/78 - Accuracy: 4.7%
Batch 30/78 - Accuracy: 4.9%
Batch 40/78 - Accuracy: 4.7%
Batch 50/78 - Accuracy: 4.7%
Batch 60/78 - Accuracy: 4.7%
Batch 70/78 - Accuracy: 4.9%
Final accuracy = 4.9%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 3/60 Batch 20/77 Inputs (000) 22 - Loss: 1.207 - Validation loss: 1.088
Epoch 3/60 Batch 40/77 Inputs (000) 24 - Loss: 1.245 - Validation loss: 1.025
Epoch 3/60 Batch 60/77 Inputs (000) 27 - Loss: 1.203 - Validation loss: 0.967
Epoch 3/60 Batch 77/77 Inputs (000) 29 - Loss: 1.130 - Validation loss: 0.910
Saving graph...
Model Trained in 0h:0m:34s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 22.4%
Batch 20/78 - Accuracy: 21.2%
Batch 30/78 - Accuracy: 21.6%
Batch 40/78 - Accuracy: 21.7%
Batch 50/78 - Accuracy: 21.8%
Batch 60/78 - Accuracy: 21.5%
Batch 70/78 - Accuracy: 21.6%
Final accuracy = 21.6%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 4/60 Batch 20/77 Inputs (000) 32 - Loss: 0.977 - Validation loss: 0.860
Epoch 4/60 Batch 40/77 Inputs (000) 34 - Loss: 1.059 - Validation loss: 0.820
Epoch 4/60 Batch 60/77 Inputs (000) 37 - Loss: 1.020 - Validation loss: 0.782
Epoch 4/60 Batch 77/77 Inputs (000) 39 - Loss: 0.962 - Validation loss: 0.752
Saving graph...
Model Trained in 0h:0m:49s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 29.2%
Batch 20/78 - Accuracy: 28.3%
Batch 30/78 - Accuracy: 28.6%
Batch 40/78 - Accuracy: 28.4%
Batch 50/78 - Accuracy: 28.2%
Batch 60/78 - Accuracy: 27.6%
Batch 70/78 - Accuracy: 27.9%
Final accuracy = 27.8%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 5/60 Batch 20/77 Inputs (000) 41 - Loss: 0.841 - Validation loss: 0.722
Epoch 5/60 Batch 40/77 Inputs (000) 44 - Loss: 0.924 - Validation loss: 0.694
Epoch 5/60 Batch 60/77 Inputs (000) 47 - Loss: 0.883 - Validation loss: 0.664
Epoch 5/60 Batch 77/77 Inputs (000) 49 - Loss: 0.832 - Validation loss: 0.641
Saving graph...
Model Trained in 0h:1m:3s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 34.7%
Batch 20/78 - Accuracy: 34.5%
Batch 30/78 - Accuracy: 34.9%
Batch 40/78 - Accuracy: 34.9%
Batch 50/78 - Accuracy: 34.3%
Batch 60/78 - Accuracy: 33.6%
Batch 70/78 - Accuracy: 34.0%
Final accuracy = 33.9%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 6/60 Batch 20/77 Inputs (000) 51 - Loss: 0.729 - Validation loss: 0.615
Epoch 6/60 Batch 40/77 Inputs (000) 54 - Loss: 0.807 - Validation loss: 0.596
Epoch 6/60 Batch 60/77 Inputs (000) 56 - Loss: 0.818 - Validation loss: 0.571
Epoch 6/60 Batch 77/77 Inputs (000) 59 - Loss: 0.741 - Validation loss: 0.555
Saving graph...
Model Trained in 0h:1m:18s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 39.8%
Batch 20/78 - Accuracy: 39.1%
Batch 30/78 - Accuracy: 39.1%
Batch 40/78 - Accuracy: 39.1%
Batch 50/78 - Accuracy: 38.7%
Batch 60/78 - Accuracy: 38.0%
Batch 70/78 - Accuracy: 38.2%
Final accuracy = 38.0%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 7/60 Batch 20/77 Inputs (000) 61 - Loss: 0.666 - Validation loss: 0.534
Epoch 7/60 Batch 40/77 Inputs (000) 64 - Loss: 0.711 - Validation loss: 0.520
Epoch 7/60 Batch 60/77 Inputs (000) 66 - Loss: 0.691 - Validation loss: 0.500
Epoch 7/60 Batch 77/77 Inputs (000) 68 - Loss: 0.676 - Validation loss: 0.484
Saving graph...
Model Trained in 0h:1m:33s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 43.4%
Batch 20/78 - Accuracy: 42.6%
Batch 30/78 - Accuracy: 42.9%
Batch 40/78 - Accuracy: 42.9%
Batch 50/78 - Accuracy: 42.4%
Batch 60/78 - Accuracy: 41.8%
Batch 70/78 - Accuracy: 42.1%
Final accuracy = 41.8%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 8/60 Batch 20/77 Inputs (000) 71 - Loss: 0.589 - Validation loss: 0.464
Epoch 8/60 Batch 40/77 Inputs (000) 74 - Loss: 0.636 - Validation loss: 0.450
Epoch 8/60 Batch 60/77 Inputs (000) 76 - Loss: 0.651 - Validation loss: 0.435
Epoch 8/60 Batch 77/77 Inputs (000) 78 - Loss: 0.612 - Validation loss: 0.421
Saving graph...
Model Trained in 0h:1m:47s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 48.7%
Batch 20/78 - Accuracy: 47.9%
Batch 30/78 - Accuracy: 47.9%
Batch 40/78 - Accuracy: 47.9%
Batch 50/78 - Accuracy: 47.3%
Batch 60/78 - Accuracy: 46.6%
Batch 70/78 - Accuracy: 46.9%
Final accuracy = 46.6%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 9/60 Batch 20/77 Inputs (000) 81 - Loss: 0.512 - Validation loss: 0.411
Epoch 9/60 Batch 40/77 Inputs (000) 83 - Loss: 0.560 - Validation loss: 0.397
Epoch 9/60 Batch 60/77 Inputs (000) 86 - Loss: 0.588 - Validation loss: 0.387
Epoch 9/60 Batch 77/77 Inputs (000) 88 - Loss: 0.559 - Validation loss: 0.374
Saving graph...
Model Trained in 0h:2m:2s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 51.3%
Batch 20/78 - Accuracy: 51.2%
Batch 30/78 - Accuracy: 51.3%
Batch 40/78 - Accuracy: 51.0%
Batch 50/78 - Accuracy: 50.7%
Batch 60/78 - Accuracy: 50.0%
Batch 70/78 - Accuracy: 50.3%
Final accuracy = 50.1%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 10/60 Batch 20/77 Inputs (000) 91 - Loss: 0.483 - Validation loss: 0.359
Epoch 10/60 Batch 40/77 Inputs (000) 93 - Loss: 0.533 - Validation loss: 0.360
Epoch 10/60 Batch 60/77 Inputs (000) 96 - Loss: 0.534 - Validation loss: 0.345
Epoch 10/60 Batch 77/77 Inputs (000) 98 - Loss: 0.507 - Validation loss: 0.335
Saving graph...
Model Trained in 0h:2m:17s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 55.0%
Batch 20/78 - Accuracy: 55.2%
Batch 30/78 - Accuracy: 55.5%
Batch 40/78 - Accuracy: 55.3%
Batch 50/78 - Accuracy: 55.0%
Batch 60/78 - Accuracy: 54.2%
Batch 70/78 - Accuracy: 54.5%
Final accuracy = 54.1%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 11/60 Batch 20/77 Inputs (000) 101 - Loss: 0.435 - Validation loss: 0.324
Epoch 11/60 Batch 40/77 Inputs (000) 103 - Loss: 0.495 - Validation loss: 0.316
Epoch 11/60 Batch 60/77 Inputs (000) 106 - Loss: 0.516 - Validation loss: 0.309
Epoch 11/60 Batch 77/77 Inputs (000) 108 - Loss: 0.465 - Validation loss: 0.304
Saving graph...
Model Trained in 0h:2m:31s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 58.7%
Batch 20/78 - Accuracy: 58.8%
Batch 30/78 - Accuracy: 58.9%
Batch 40/78 - Accuracy: 58.5%
Batch 50/78 - Accuracy: 58.3%
Batch 60/78 - Accuracy: 57.7%
Batch 70/78 - Accuracy: 58.0%
Final accuracy = 57.8%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 12/60 Batch 20/77 Inputs (000) 111 - Loss: 0.397 - Validation loss: 0.292
Epoch 12/60 Batch 40/77 Inputs (000) 113 - Loss: 0.426 - Validation loss: 0.286
Epoch 12/60 Batch 60/77 Inputs (000) 116 - Loss: 0.442 - Validation loss: 0.278
Epoch 12/60 Batch 77/77 Inputs (000) 118 - Loss: 0.418 - Validation loss: 0.267
Saving graph...
Model Trained in 0h:2m:46s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 61.6%
Batch 20/78 - Accuracy: 62.1%
Batch 30/78 - Accuracy: 62.4%
Batch 40/78 - Accuracy: 62.1%
Batch 50/78 - Accuracy: 62.0%
Batch 60/78 - Accuracy: 61.4%
Batch 70/78 - Accuracy: 61.8%
Final accuracy = 61.6%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 13/60 Batch 20/77 Inputs (000) 120 - Loss: 0.345 - Validation loss: 0.263
Epoch 13/60 Batch 40/77 Inputs (000) 123 - Loss: 0.397 - Validation loss: 0.256
Epoch 13/60 Batch 60/77 Inputs (000) 126 - Loss: 0.406 - Validation loss: 0.251
Epoch 13/60 Batch 77/77 Inputs (000) 128 - Loss: 0.375 - Validation loss: 0.246
Saving graph...
Model Trained in 0h:3m:0s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 64.6%
Batch 20/78 - Accuracy: 65.0%
Batch 30/78 - Accuracy: 65.1%
Batch 40/78 - Accuracy: 64.9%
Batch 50/78 - Accuracy: 64.8%
Batch 60/78 - Accuracy: 64.2%
Batch 70/78 - Accuracy: 64.6%
Final accuracy = 64.3%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 14/60 Batch 20/77 Inputs (000) 130 - Loss: 0.313 - Validation loss: 0.233
Epoch 14/60 Batch 40/77 Inputs (000) 133 - Loss: 0.385 - Validation loss: 0.232
Epoch 14/60 Batch 60/77 Inputs (000) 135 - Loss: 0.382 - Validation loss: 0.233
Epoch 14/60 Batch 77/77 Inputs (000) 138 - Loss: 0.364 - Validation loss: 0.223
Saving graph...
Model Trained in 0h:3m:15s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 67.4%
Batch 20/78 - Accuracy: 68.4%
Batch 30/78 - Accuracy: 68.4%
Batch 40/78 - Accuracy: 68.1%
Batch 50/78 - Accuracy: 68.0%
Batch 60/78 - Accuracy: 67.7%
Batch 70/78 - Accuracy: 68.0%
Final accuracy = 67.7%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 15/60 Batch 20/77 Inputs (000) 140 - Loss: 0.320 - Validation loss: 0.214
Epoch 15/60 Batch 40/77 Inputs (000) 143 - Loss: 0.342 - Validation loss: 0.213
Epoch 15/60 Batch 60/77 Inputs (000) 145 - Loss: 0.345 - Validation loss: 0.205
Epoch 15/60 Batch 77/77 Inputs (000) 147 - Loss: 0.330 - Validation loss: 0.201
Saving graph...
Model Trained in 0h:3m:29s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 71.0%
Batch 20/78 - Accuracy: 71.8%
Batch 30/78 - Accuracy: 71.8%
Batch 40/78 - Accuracy: 71.8%
Batch 50/78 - Accuracy: 71.8%
Batch 60/78 - Accuracy: 71.3%
Batch 70/78 - Accuracy: 71.6%
Final accuracy = 71.5%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 16/60 Batch 20/77 Inputs (000) 150 - Loss: 0.280 - Validation loss: 0.199
Epoch 16/60 Batch 40/77 Inputs (000) 153 - Loss: 0.307 - Validation loss: 0.194
Epoch 16/60 Batch 60/77 Inputs (000) 155 - Loss: 0.322 - Validation loss: 0.192
Epoch 16/60 Batch 77/77 Inputs (000) 157 - Loss: 0.329 - Validation loss: 0.181
Saving graph...
Model Trained in 0h:3m:44s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 72.9%
Batch 20/78 - Accuracy: 74.1%
Batch 30/78 - Accuracy: 74.1%
Batch 40/78 - Accuracy: 74.0%
Batch 50/78 - Accuracy: 74.1%
Batch 60/78 - Accuracy: 73.9%
Batch 70/78 - Accuracy: 74.0%
Final accuracy = 73.9%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 17/60 Batch 20/77 Inputs (000) 160 - Loss: 0.247 - Validation loss: 0.176
Epoch 17/60 Batch 40/77 Inputs (000) 162 - Loss: 0.317 - Validation loss: 0.179
Epoch 17/60 Batch 60/77 Inputs (000) 165 - Loss: 0.301 - Validation loss: 0.177
Epoch 17/60 Batch 77/77 Inputs (000) 167 - Loss: 0.287 - Validation loss: 0.163
Saving graph...
Model Trained in 0h:3m:59s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 75.0%
Batch 20/78 - Accuracy: 76.6%
Batch 30/78 - Accuracy: 76.8%
Batch 40/78 - Accuracy: 76.8%
Batch 50/78 - Accuracy: 76.9%
Batch 60/78 - Accuracy: 76.5%
Batch 70/78 - Accuracy: 76.7%
Final accuracy = 76.7%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 18/60 Batch 20/77 Inputs (000) 170 - Loss: 0.244 - Validation loss: 0.162
Epoch 18/60 Batch 40/77 Inputs (000) 172 - Loss: 0.285 - Validation loss: 0.161
Epoch 18/60 Batch 60/77 Inputs (000) 175 - Loss: 0.270 - Validation loss: 0.157
Epoch 18/60 Batch 77/77 Inputs (000) 177 - Loss: 0.268 - Validation loss: 0.152
Saving graph...
Model Trained in 0h:4m:13s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 77.5%
Batch 20/78 - Accuracy: 78.9%
Batch 30/78 - Accuracy: 79.0%
Batch 40/78 - Accuracy: 78.9%
Batch 50/78 - Accuracy: 79.1%
Batch 60/78 - Accuracy: 78.9%
Batch 70/78 - Accuracy: 79.0%
Final accuracy = 79.1%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 19/60 Batch 20/77 Inputs (000) 180 - Loss: 0.229 - Validation loss: 0.145
Epoch 19/60 Batch 40/77 Inputs (000) 182 - Loss: 0.265 - Validation loss: 0.151
Epoch 19/60 Batch 60/77 Inputs (000) 185 - Loss: 0.263 - Validation loss: 0.143
Epoch 19/60 Batch 77/77 Inputs (000) 187 - Loss: 0.254 - Validation loss: 0.137
Saving graph...
Model Trained in 0h:4m:28s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 79.7%
Batch 20/78 - Accuracy: 80.3%
Batch 30/78 - Accuracy: 80.3%
Batch 40/78 - Accuracy: 80.3%
Batch 50/78 - Accuracy: 80.5%
Batch 60/78 - Accuracy: 80.3%
Batch 70/78 - Accuracy: 80.5%
Final accuracy = 80.6%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 20/60 Batch 20/77 Inputs (000) 190 - Loss: 0.205 - Validation loss: 0.130
Epoch 20/60 Batch 40/77 Inputs (000) 192 - Loss: 0.248 - Validation loss: 0.134
Epoch 20/60 Batch 60/77 Inputs (000) 195 - Loss: 0.245 - Validation loss: 0.130
Epoch 20/60 Batch 77/77 Inputs (000) 197 - Loss: 0.236 - Validation loss: 0.124
Saving graph...
Model Trained in 0h:4m:42s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 82.2%
Batch 20/78 - Accuracy: 83.2%
Batch 30/78 - Accuracy: 82.8%
Batch 40/78 - Accuracy: 82.8%
Batch 50/78 - Accuracy: 82.9%
Batch 60/78 - Accuracy: 82.7%
Batch 70/78 - Accuracy: 82.7%
Final accuracy = 82.8%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 21/60 Batch 20/77 Inputs (000) 199 - Loss: 0.198 - Validation loss: 0.124
Epoch 21/60 Batch 40/77 Inputs (000) 202 - Loss: 0.237 - Validation loss: 0.124
Epoch 21/60 Batch 60/77 Inputs (000) 204 - Loss: 0.226 - Validation loss: 0.121
Epoch 21/60 Batch 77/77 Inputs (000) 207 - Loss: 0.224 - Validation loss: 0.115
Saving graph...
Model Trained in 0h:4m:57s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 84.5%
Batch 20/78 - Accuracy: 85.0%
Batch 30/78 - Accuracy: 84.6%
Batch 40/78 - Accuracy: 84.5%
Batch 50/78 - Accuracy: 84.6%
Batch 60/78 - Accuracy: 84.4%
Batch 70/78 - Accuracy: 84.5%
Final accuracy = 84.6%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 22/60 Batch 20/77 Inputs (000) 209 - Loss: 0.190 - Validation loss: 0.113
Epoch 22/60 Batch 40/77 Inputs (000) 212 - Loss: 0.208 - Validation loss: 0.112
Epoch 22/60 Batch 60/77 Inputs (000) 214 - Loss: 0.220 - Validation loss: 0.117
Epoch 22/60 Batch 77/77 Inputs (000) 217 - Loss: 0.224 - Validation loss: 0.105
Saving graph...
Model Trained in 0h:5m:11s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 84.9%
Batch 20/78 - Accuracy: 86.0%
Batch 30/78 - Accuracy: 85.5%
Batch 40/78 - Accuracy: 85.5%
Batch 50/78 - Accuracy: 85.5%
Batch 60/78 - Accuracy: 85.5%
Batch 70/78 - Accuracy: 85.6%
Final accuracy = 85.6%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 23/60 Batch 20/77 Inputs (000) 219 - Loss: 0.178 - Validation loss: 0.106
Epoch 23/60 Batch 40/77 Inputs (000) 222 - Loss: 0.184 - Validation loss: 0.104
Epoch 23/60 Batch 60/77 Inputs (000) 224 - Loss: 0.195 - Validation loss: 0.101
Epoch 23/60 Batch 77/77 Inputs (000) 226 - Loss: 0.200 - Validation loss: 0.096
Saving graph...
Model Trained in 0h:5m:25s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 87.4%
Batch 20/78 - Accuracy: 87.7%
Batch 30/78 - Accuracy: 87.4%
Batch 40/78 - Accuracy: 87.5%
Batch 50/78 - Accuracy: 87.6%
Batch 60/78 - Accuracy: 87.5%
Batch 70/78 - Accuracy: 87.5%
Final accuracy = 87.6%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 24/60 Batch 20/77 Inputs (000) 229 - Loss: 0.169 - Validation loss: 0.101
Epoch 24/60 Batch 40/77 Inputs (000) 232 - Loss: 0.186 - Validation loss: 0.099
Epoch 24/60 Batch 60/77 Inputs (000) 234 - Loss: 0.172 - Validation loss: 0.096
Epoch 24/60 Batch 77/77 Inputs (000) 236 - Loss: 0.199 - Validation loss: 0.093
Saving graph...
Model Trained in 0h:5m:40s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 88.8%
Batch 20/78 - Accuracy: 89.2%
Batch 30/78 - Accuracy: 88.5%
Batch 40/78 - Accuracy: 88.2%
Batch 50/78 - Accuracy: 88.3%
Batch 60/78 - Accuracy: 88.4%
Batch 70/78 - Accuracy: 88.4%
Final accuracy = 88.5%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 25/60 Batch 20/77 Inputs (000) 239 - Loss: 0.168 - Validation loss: 0.088
Epoch 25/60 Batch 40/77 Inputs (000) 241 - Loss: 0.166 - Validation loss: 0.087
Epoch 25/60 Batch 60/77 Inputs (000) 244 - Loss: 0.170 - Validation loss: 0.084
Epoch 25/60 Batch 77/77 Inputs (000) 246 - Loss: 0.181 - Validation loss: 0.085
Saving graph...
Model Trained in 0h:5m:54s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 88.9%
Batch 20/78 - Accuracy: 89.7%
Batch 30/78 - Accuracy: 89.5%
Batch 40/78 - Accuracy: 89.5%
Batch 50/78 - Accuracy: 89.3%
Batch 60/78 - Accuracy: 89.2%
Batch 70/78 - Accuracy: 89.3%
Final accuracy = 89.5%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 26/60 Batch 20/77 Inputs (000) 249 - Loss: 0.151 - Validation loss: 0.080
Epoch 26/60 Batch 40/77 Inputs (000) 251 - Loss: 0.173 - Validation loss: 0.080
Epoch 26/60 Batch 60/77 Inputs (000) 254 - Loss: 0.172 - Validation loss: 0.074
Epoch 26/60 Batch 77/77 Inputs (000) 256 - Loss: 0.169 - Validation loss: 0.076
Saving graph...
Model Trained in 0h:6m:9s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 89.9%
Batch 20/78 - Accuracy: 90.5%
Batch 30/78 - Accuracy: 90.3%
Batch 40/78 - Accuracy: 90.3%
Batch 50/78 - Accuracy: 90.1%
Batch 60/78 - Accuracy: 90.1%
Batch 70/78 - Accuracy: 90.2%
Final accuracy = 90.3%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 27/60 Batch 20/77 Inputs (000) 259 - Loss: 0.141 - Validation loss: 0.076
Epoch 27/60 Batch 40/77 Inputs (000) 261 - Loss: 0.175 - Validation loss: 0.074
Epoch 27/60 Batch 60/77 Inputs (000) 264 - Loss: 0.145 - Validation loss: 0.073
Epoch 27/60 Batch 77/77 Inputs (000) 266 - Loss: 0.166 - Validation loss: 0.070
Saving graph...
Model Trained in 0h:6m:23s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 92.0%
Batch 20/78 - Accuracy: 92.2%
Batch 30/78 - Accuracy: 92.0%
Batch 40/78 - Accuracy: 91.5%
Batch 50/78 - Accuracy: 91.5%
Batch 60/78 - Accuracy: 91.6%
Batch 70/78 - Accuracy: 91.5%
Final accuracy = 91.6%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 28/60 Batch 20/77 Inputs (000) 268 - Loss: 0.131 - Validation loss: 0.069
Epoch 28/60 Batch 40/77 Inputs (000) 271 - Loss: 0.173 - Validation loss: 0.065
Epoch 28/60 Batch 60/77 Inputs (000) 274 - Loss: 0.155 - Validation loss: 0.063
Epoch 28/60 Batch 77/77 Inputs (000) 276 - Loss: 0.144 - Validation loss: 0.066
Saving graph...
Model Trained in 0h:6m:38s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 92.3%
Batch 20/78 - Accuracy: 92.8%
Batch 30/78 - Accuracy: 92.5%
Batch 40/78 - Accuracy: 92.5%
Batch 50/78 - Accuracy: 92.5%
Batch 60/78 - Accuracy: 92.5%
Batch 70/78 - Accuracy: 92.6%
Final accuracy = 92.6%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 29/60 Batch 20/77 Inputs (000) 278 - Loss: 0.121 - Validation loss: 0.062
Epoch 29/60 Batch 40/77 Inputs (000) 281 - Loss: 0.140 - Validation loss: 0.064
Epoch 29/60 Batch 60/77 Inputs (000) 283 - Loss: 0.144 - Validation loss: 0.059
Epoch 29/60 Batch 77/77 Inputs (000) 286 - Loss: 0.157 - Validation loss: 0.058
Saving graph...
Model Trained in 0h:6m:53s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 94.0%
Batch 20/78 - Accuracy: 94.0%
Batch 30/78 - Accuracy: 93.8%
Batch 40/78 - Accuracy: 93.4%
Batch 50/78 - Accuracy: 93.3%
Batch 60/78 - Accuracy: 93.2%
Batch 70/78 - Accuracy: 93.3%
Final accuracy = 93.4%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 30/60 Batch 20/77 Inputs (000) 288 - Loss: 0.140 - Validation loss: 0.058
Epoch 30/60 Batch 40/77 Inputs (000) 291 - Loss: 0.129 - Validation loss: 0.058
Epoch 30/60 Batch 60/77 Inputs (000) 293 - Loss: 0.127 - Validation loss: 0.059
Epoch 30/60 Batch 77/77 Inputs (000) 296 - Loss: 0.139 - Validation loss: 0.059
Saving graph...
Model Trained in 0h:7m:9s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 92.9%
Batch 20/78 - Accuracy: 93.3%
Batch 30/78 - Accuracy: 92.7%
Batch 40/78 - Accuracy: 92.6%
Batch 50/78 - Accuracy: 92.5%
Batch 60/78 - Accuracy: 92.5%
Batch 70/78 - Accuracy: 92.6%
Final accuracy = 92.7%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 31/60 Batch 20/77 Inputs (000) 298 - Loss: 0.115 - Validation loss: 0.058
Epoch 31/60 Batch 40/77 Inputs (000) 301 - Loss: 0.130 - Validation loss: 0.055
Epoch 31/60 Batch 60/77 Inputs (000) 303 - Loss: 0.136 - Validation loss: 0.053
Epoch 31/60 Batch 77/77 Inputs (000) 305 - Loss: 0.131 - Validation loss: 0.051
Saving graph...
Model Trained in 0h:7m:24s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 94.0%
Batch 20/78 - Accuracy: 94.4%
Batch 30/78 - Accuracy: 94.1%
Batch 40/78 - Accuracy: 94.2%
Batch 50/78 - Accuracy: 94.0%
Batch 60/78 - Accuracy: 94.0%
Batch 70/78 - Accuracy: 94.1%
Final accuracy = 94.2%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 32/60 Batch 20/77 Inputs (000) 308 - Loss: 0.118 - Validation loss: 0.051
Epoch 32/60 Batch 40/77 Inputs (000) 311 - Loss: 0.135 - Validation loss: 0.048
Epoch 32/60 Batch 60/77 Inputs (000) 313 - Loss: 0.130 - Validation loss: 0.046
Epoch 32/60 Batch 77/77 Inputs (000) 315 - Loss: 0.125 - Validation loss: 0.047
Saving graph...
Model Trained in 0h:7m:39s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 95.2%
Batch 20/78 - Accuracy: 95.2%
Batch 30/78 - Accuracy: 94.9%
Batch 40/78 - Accuracy: 95.0%
Batch 50/78 - Accuracy: 94.9%
Batch 60/78 - Accuracy: 94.9%
Batch 70/78 - Accuracy: 94.9%
Final accuracy = 95.0%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 33/60 Batch 20/77 Inputs (000) 318 - Loss: 0.114 - Validation loss: 0.048
Epoch 33/60 Batch 40/77 Inputs (000) 320 - Loss: 0.138 - Validation loss: 0.048
Epoch 33/60 Batch 60/77 Inputs (000) 323 - Loss: 0.151 - Validation loss: 0.044
Epoch 33/60 Batch 77/77 Inputs (000) 325 - Loss: 0.126 - Validation loss: 0.047
Saving graph...
Model Trained in 0h:7m:53s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 94.5%
Batch 20/78 - Accuracy: 94.8%
Batch 30/78 - Accuracy: 94.8%
Batch 40/78 - Accuracy: 94.6%
Batch 50/78 - Accuracy: 94.5%
Batch 60/78 - Accuracy: 94.6%
Batch 70/78 - Accuracy: 94.6%
Final accuracy = 94.5%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 34/60 Batch 20/77 Inputs (000) 328 - Loss: 0.108 - Validation loss: 0.043
Epoch 34/60 Batch 40/77 Inputs (000) 330 - Loss: 0.114 - Validation loss: 0.046
Epoch 34/60 Batch 60/77 Inputs (000) 333 - Loss: 0.122 - Validation loss: 0.043
Epoch 34/60 Batch 77/77 Inputs (000) 335 - Loss: 0.130 - Validation loss: 0.042
Saving graph...
Model Trained in 0h:8m:9s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 96.0%
Batch 20/78 - Accuracy: 95.8%
Batch 30/78 - Accuracy: 95.7%
Batch 40/78 - Accuracy: 95.7%
Batch 50/78 - Accuracy: 95.6%
Batch 60/78 - Accuracy: 95.7%
Batch 70/78 - Accuracy: 95.7%
Final accuracy = 95.8%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 35/60 Batch 20/77 Inputs (000) 338 - Loss: 0.091 - Validation loss: 0.041
Epoch 35/60 Batch 40/77 Inputs (000) 340 - Loss: 0.112 - Validation loss: 0.043
Epoch 35/60 Batch 60/77 Inputs (000) 343 - Loss: 0.118 - Validation loss: 0.040
Epoch 35/60 Batch 77/77 Inputs (000) 345 - Loss: 0.111 - Validation loss: 0.039
Saving graph...
Model Trained in 0h:8m:23s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 96.0%
Batch 20/78 - Accuracy: 96.2%
Batch 30/78 - Accuracy: 96.2%
Batch 40/78 - Accuracy: 96.1%
Batch 50/78 - Accuracy: 96.1%
Batch 60/78 - Accuracy: 96.2%
Batch 70/78 - Accuracy: 96.2%
Final accuracy = 96.3%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 36/60 Batch 20/77 Inputs (000) 347 - Loss: 0.098 - Validation loss: 0.037
Epoch 36/60 Batch 40/77 Inputs (000) 350 - Loss: 0.119 - Validation loss: 0.040
Epoch 36/60 Batch 60/77 Inputs (000) 353 - Loss: 0.116 - Validation loss: 0.038
Epoch 36/60 Batch 77/77 Inputs (000) 355 - Loss: 0.107 - Validation loss: 0.043
Saving graph...
Model Trained in 0h:8m:38s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 95.7%
Batch 20/78 - Accuracy: 96.0%
Batch 30/78 - Accuracy: 95.9%
Batch 40/78 - Accuracy: 96.0%
Batch 50/78 - Accuracy: 96.0%
Batch 60/78 - Accuracy: 96.0%
Batch 70/78 - Accuracy: 96.0%
Final accuracy = 96.1%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 37/60 Batch 20/77 Inputs (000) 357 - Loss: 0.093 - Validation loss: 0.037
Epoch 37/60 Batch 40/77 Inputs (000) 360 - Loss: 0.109 - Validation loss: 0.037
Epoch 37/60 Batch 60/77 Inputs (000) 362 - Loss: 0.090 - Validation loss: 0.035
Epoch 37/60 Batch 77/77 Inputs (000) 365 - Loss: 0.104 - Validation loss: 0.033
Saving graph...
Model Trained in 0h:8m:53s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 96.7%
Batch 20/78 - Accuracy: 96.8%
Batch 30/78 - Accuracy: 96.6%
Batch 40/78 - Accuracy: 96.7%
Batch 50/78 - Accuracy: 96.7%
Batch 60/78 - Accuracy: 96.7%
Batch 70/78 - Accuracy: 96.7%
Final accuracy = 96.8%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 38/60 Batch 20/77 Inputs (000) 367 - Loss: 0.086 - Validation loss: 0.037
Epoch 38/60 Batch 40/77 Inputs (000) 370 - Loss: 0.090 - Validation loss: 0.031
Epoch 38/60 Batch 60/77 Inputs (000) 372 - Loss: 0.098 - Validation loss: 0.032
Epoch 38/60 Batch 77/77 Inputs (000) 374 - Loss: 0.099 - Validation loss: 0.033
Saving graph...
Model Trained in 0h:9m:7s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 96.9%
Batch 20/78 - Accuracy: 97.1%
Batch 30/78 - Accuracy: 97.2%
Batch 40/78 - Accuracy: 97.1%
Batch 50/78 - Accuracy: 97.1%
Batch 60/78 - Accuracy: 97.1%
Batch 70/78 - Accuracy: 97.1%
Final accuracy = 97.2%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 39/60 Batch 20/77 Inputs (000) 377 - Loss: 0.078 - Validation loss: 0.030
Epoch 39/60 Batch 40/77 Inputs (000) 380 - Loss: 0.099 - Validation loss: 0.030
Epoch 39/60 Batch 60/77 Inputs (000) 382 - Loss: 0.094 - Validation loss: 0.033
Epoch 39/60 Batch 77/77 Inputs (000) 384 - Loss: 0.088 - Validation loss: 0.032
Saving graph...
Model Trained in 0h:9m:22s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 97.5%
Batch 20/78 - Accuracy: 97.5%
Batch 30/78 - Accuracy: 97.2%
Batch 40/78 - Accuracy: 97.1%
Batch 50/78 - Accuracy: 97.1%
Batch 60/78 - Accuracy: 97.2%
Batch 70/78 - Accuracy: 97.3%
Final accuracy = 97.3%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 40/60 Batch 20/77 Inputs (000) 387 - Loss: 0.072 - Validation loss: 0.029
Epoch 40/60 Batch 40/77 Inputs (000) 390 - Loss: 0.090 - Validation loss: 0.028
Epoch 40/60 Batch 60/77 Inputs (000) 392 - Loss: 0.091 - Validation loss: 0.027
Epoch 40/60 Batch 77/77 Inputs (000) 394 - Loss: 0.105 - Validation loss: 0.028
Saving graph...
Model Trained in 0h:9m:37s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 97.2%
Batch 20/78 - Accuracy: 97.3%
Batch 30/78 - Accuracy: 97.3%
Batch 40/78 - Accuracy: 97.1%
Batch 50/78 - Accuracy: 97.3%
Batch 60/78 - Accuracy: 97.3%
Batch 70/78 - Accuracy: 97.4%
Final accuracy = 97.5%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 41/60 Batch 20/77 Inputs (000) 397 - Loss: 0.075 - Validation loss: 0.030
Epoch 41/60 Batch 40/77 Inputs (000) 399 - Loss: 0.088 - Validation loss: 0.027
Epoch 41/60 Batch 60/77 Inputs (000) 402 - Loss: 0.077 - Validation loss: 0.027
Epoch 41/60 Batch 77/77 Inputs (000) 404 - Loss: 0.091 - Validation loss: 0.026
Saving graph...
Model Trained in 0h:9m:52s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 97.9%
Batch 20/78 - Accuracy: 97.8%
Batch 30/78 - Accuracy: 97.7%
Batch 40/78 - Accuracy: 97.7%
Batch 50/78 - Accuracy: 97.7%
Batch 60/78 - Accuracy: 97.7%
Batch 70/78 - Accuracy: 97.7%
Final accuracy = 97.7%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 42/60 Batch 20/77 Inputs (000) 407 - Loss: 0.068 - Validation loss: 0.028
Epoch 42/60 Batch 40/77 Inputs (000) 409 - Loss: 0.084 - Validation loss: 0.027
Epoch 42/60 Batch 60/77 Inputs (000) 412 - Loss: 0.086 - Validation loss: 0.024
Epoch 42/60 Batch 77/77 Inputs (000) 414 - Loss: 0.092 - Validation loss: 0.024
Saving graph...
Model Trained in 0h:10m:7s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 98.0%
Batch 20/78 - Accuracy: 97.8%
Batch 30/78 - Accuracy: 97.6%
Batch 40/78 - Accuracy: 97.6%
Batch 50/78 - Accuracy: 97.7%
Batch 60/78 - Accuracy: 97.7%
Batch 70/78 - Accuracy: 97.8%
Final accuracy = 97.8%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 43/60 Batch 20/77 Inputs (000) 417 - Loss: 0.060 - Validation loss: 0.023
Epoch 43/60 Batch 40/77 Inputs (000) 419 - Loss: 0.086 - Validation loss: 0.024
Epoch 43/60 Batch 60/77 Inputs (000) 422 - Loss: 0.097 - Validation loss: 0.023
Epoch 43/60 Batch 77/77 Inputs (000) 424 - Loss: 0.083 - Validation loss: 0.022
Saving graph...
Model Trained in 0h:10m:21s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 98.4%
Batch 20/78 - Accuracy: 98.3%
Batch 30/78 - Accuracy: 98.3%
Batch 40/78 - Accuracy: 98.1%
Batch 50/78 - Accuracy: 98.2%
Batch 60/78 - Accuracy: 98.2%
Batch 70/78 - Accuracy: 98.3%
Final accuracy = 98.3%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 44/60 Batch 20/77 Inputs (000) 426 - Loss: 0.073 - Validation loss: 0.023
Epoch 44/60 Batch 40/77 Inputs (000) 429 - Loss: 0.063 - Validation loss: 0.024
Epoch 44/60 Batch 60/77 Inputs (000) 432 - Loss: 0.079 - Validation loss: 0.022
Epoch 44/60 Batch 77/77 Inputs (000) 434 - Loss: 0.089 - Validation loss: 0.025
Saving graph...
Model Trained in 0h:10m:36s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 97.9%
Batch 20/78 - Accuracy: 97.9%
Batch 30/78 - Accuracy: 97.8%
Batch 40/78 - Accuracy: 97.8%
Batch 50/78 - Accuracy: 97.8%
Batch 60/78 - Accuracy: 97.8%
Batch 70/78 - Accuracy: 97.8%
Final accuracy = 97.9%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 45/60 Batch 20/77 Inputs (000) 436 - Loss: 0.070 - Validation loss: 0.022
Epoch 45/60 Batch 40/77 Inputs (000) 439 - Loss: 0.097 - Validation loss: 0.023
Epoch 45/60 Batch 60/77 Inputs (000) 441 - Loss: 0.084 - Validation loss: 0.023
Epoch 45/60 Batch 77/77 Inputs (000) 444 - Loss: 0.076 - Validation loss: 0.021
Saving graph...
Model Trained in 0h:10m:50s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 98.1%
Batch 20/78 - Accuracy: 98.2%
Batch 30/78 - Accuracy: 98.3%
Batch 40/78 - Accuracy: 98.3%
Batch 50/78 - Accuracy: 98.4%
Batch 60/78 - Accuracy: 98.4%
Batch 70/78 - Accuracy: 98.5%
Final accuracy = 98.5%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 46/60 Batch 20/77 Inputs (000) 446 - Loss: 0.058 - Validation loss: 0.024
Epoch 46/60 Batch 40/77 Inputs (000) 449 - Loss: 0.078 - Validation loss: 0.020
Epoch 46/60 Batch 60/77 Inputs (000) 451 - Loss: 0.076 - Validation loss: 0.018
Epoch 46/60 Batch 77/77 Inputs (000) 453 - Loss: 0.072 - Validation loss: 0.021
Saving graph...
Model Trained in 0h:11m:4s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 98.4%
Batch 20/78 - Accuracy: 98.4%
Batch 30/78 - Accuracy: 98.3%
Batch 40/78 - Accuracy: 98.3%
Batch 50/78 - Accuracy: 98.3%
Batch 60/78 - Accuracy: 98.4%
Batch 70/78 - Accuracy: 98.4%
Final accuracy = 98.5%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 47/60 Batch 20/77 Inputs (000) 456 - Loss: 0.058 - Validation loss: 0.020
Epoch 47/60 Batch 40/77 Inputs (000) 459 - Loss: 0.076 - Validation loss: 0.021
Epoch 47/60 Batch 60/77 Inputs (000) 461 - Loss: 0.086 - Validation loss: 0.021
Epoch 47/60 Batch 77/77 Inputs (000) 463 - Loss: 0.075 - Validation loss: 0.019
Saving graph...
Model Trained in 0h:11m:19s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 98.2%
Batch 20/78 - Accuracy: 98.3%
Batch 30/78 - Accuracy: 98.2%
Batch 40/78 - Accuracy: 98.2%
Batch 50/78 - Accuracy: 98.2%
Batch 60/78 - Accuracy: 98.2%
Batch 70/78 - Accuracy: 98.3%
Final accuracy = 98.4%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 48/60 Batch 20/77 Inputs (000) 466 - Loss: 0.071 - Validation loss: 0.017
Epoch 48/60 Batch 40/77 Inputs (000) 468 - Loss: 0.069 - Validation loss: 0.020
Epoch 48/60 Batch 60/77 Inputs (000) 471 - Loss: 0.080 - Validation loss: 0.017
Epoch 48/60 Batch 77/77 Inputs (000) 473 - Loss: 0.078 - Validation loss: 0.016
Saving graph...
Model Trained in 0h:11m:33s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 98.9%
Batch 20/78 - Accuracy: 98.8%
Batch 30/78 - Accuracy: 98.7%
Batch 40/78 - Accuracy: 98.8%
Batch 50/78 - Accuracy: 98.8%
Batch 60/78 - Accuracy: 98.8%
Batch 70/78 - Accuracy: 98.9%
Final accuracy = 98.8%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 49/60 Batch 20/77 Inputs (000) 476 - Loss: 0.067 - Validation loss: 0.018
Epoch 49/60 Batch 40/77 Inputs (000) 478 - Loss: 0.064 - Validation loss: 0.018
Epoch 49/60 Batch 60/77 Inputs (000) 481 - Loss: 0.062 - Validation loss: 0.019
Epoch 49/60 Batch 77/77 Inputs (000) 483 - Loss: 0.064 - Validation loss: 0.018
Saving graph...
Model Trained in 0h:11m:47s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 98.7%
Batch 20/78 - Accuracy: 98.7%
Batch 30/78 - Accuracy: 98.6%
Batch 40/78 - Accuracy: 98.6%
Batch 50/78 - Accuracy: 98.6%
Batch 60/78 - Accuracy: 98.7%
Batch 70/78 - Accuracy: 98.7%
Final accuracy = 98.7%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 50/60 Batch 20/77 Inputs (000) 486 - Loss: 0.071 - Validation loss: 0.019
Epoch 50/60 Batch 40/77 Inputs (000) 488 - Loss: 0.079 - Validation loss: 0.018
Epoch 50/60 Batch 60/77 Inputs (000) 491 - Loss: 0.081 - Validation loss: 0.015
Epoch 50/60 Batch 77/77 Inputs (000) 493 - Loss: 0.062 - Validation loss: 0.015
Saving graph...
Model Trained in 0h:12m:2s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 98.7%
Batch 20/78 - Accuracy: 98.7%
Batch 30/78 - Accuracy: 98.7%
Batch 40/78 - Accuracy: 98.8%
Batch 50/78 - Accuracy: 98.7%
Batch 60/78 - Accuracy: 98.8%
Batch 70/78 - Accuracy: 98.9%
Final accuracy = 98.9%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 51/60 Batch 20/77 Inputs (000) 496 - Loss: 0.058 - Validation loss: 0.017
Epoch 51/60 Batch 40/77 Inputs (000) 498 - Loss: 0.053 - Validation loss: 0.016
Epoch 51/60 Batch 60/77 Inputs (000) 501 - Loss: 0.062 - Validation loss: 0.015
Epoch 51/60 Batch 77/77 Inputs (000) 503 - Loss: 0.072 - Validation loss: 0.016
Saving graph...
Model Trained in 0h:12m:17s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 99.0%
Batch 20/78 - Accuracy: 99.0%
Batch 30/78 - Accuracy: 98.8%
Batch 40/78 - Accuracy: 98.7%
Batch 50/78 - Accuracy: 98.7%
Batch 60/78 - Accuracy: 98.7%
Batch 70/78 - Accuracy: 98.8%
Final accuracy = 98.8%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 52/60 Batch 20/77 Inputs (000) 505 - Loss: 0.060 - Validation loss: 0.017
Epoch 52/60 Batch 40/77 Inputs (000) 508 - Loss: 0.060 - Validation loss: 0.018
Epoch 52/60 Batch 60/77 Inputs (000) 511 - Loss: 0.061 - Validation loss: 0.015
Epoch 52/60 Batch 77/77 Inputs (000) 513 - Loss: 0.055 - Validation loss: 0.014
Saving graph...
Model Trained in 0h:12m:31s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 98.8%
Batch 20/78 - Accuracy: 99.0%
Batch 30/78 - Accuracy: 98.9%
Batch 40/78 - Accuracy: 99.0%
Batch 50/78 - Accuracy: 99.0%
Batch 60/78 - Accuracy: 99.1%
Batch 70/78 - Accuracy: 99.1%
Final accuracy = 99.1%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 53/60 Batch 20/77 Inputs (000) 515 - Loss: 0.066 - Validation loss: 0.015
Epoch 53/60 Batch 40/77 Inputs (000) 518 - Loss: 0.054 - Validation loss: 0.014
Epoch 53/60 Batch 60/77 Inputs (000) 520 - Loss: 0.067 - Validation loss: 0.012
Epoch 53/60 Batch 77/77 Inputs (000) 523 - Loss: 0.066 - Validation loss: 0.013
Saving graph...
Model Trained in 0h:12m:46s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 99.3%
Batch 20/78 - Accuracy: 99.3%
Batch 30/78 - Accuracy: 99.2%
Batch 40/78 - Accuracy: 99.1%
Batch 50/78 - Accuracy: 99.1%
Batch 60/78 - Accuracy: 99.0%
Batch 70/78 - Accuracy: 99.1%
Final accuracy = 99.1%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 54/60 Batch 20/77 Inputs (000) 525 - Loss: 0.049 - Validation loss: 0.013
Epoch 54/60 Batch 40/77 Inputs (000) 528 - Loss: 0.054 - Validation loss: 0.014
Epoch 54/60 Batch 60/77 Inputs (000) 530 - Loss: 0.065 - Validation loss: 0.012
Epoch 54/60 Batch 77/77 Inputs (000) 532 - Loss: 0.063 - Validation loss: 0.012
Saving graph...
Model Trained in 0h:13m:0s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 99.4%
Batch 20/78 - Accuracy: 99.4%
Batch 30/78 - Accuracy: 99.3%
Batch 40/78 - Accuracy: 99.3%
Batch 50/78 - Accuracy: 99.3%
Batch 60/78 - Accuracy: 99.2%
Batch 70/78 - Accuracy: 99.3%
Final accuracy = 99.3%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 55/60 Batch 20/77 Inputs (000) 535 - Loss: 0.054 - Validation loss: 0.014
Epoch 55/60 Batch 40/77 Inputs (000) 538 - Loss: 0.054 - Validation loss: 0.013
Epoch 55/60 Batch 60/77 Inputs (000) 540 - Loss: 0.055 - Validation loss: 0.015
Epoch 55/60 Batch 77/77 Inputs (000) 542 - Loss: 0.073 - Validation loss: 0.025
Saving graph...
Model Trained in 0h:13m:14s and Saved
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Batch 10/78 - Accuracy: 99.0%
Batch 20/78 - Accuracy: 98.9%
Batch 30/78 - Accuracy: 98.8%
Batch 40/78 - Accuracy: 98.8%
Batch 50/78 - Accuracy: 98.8%
Batch 60/78 - Accuracy: 98.7%
Batch 70/78 - Accuracy: 98.8%
Final accuracy = 98.8%
Reloading existing graph to continue training.
INFO:tensorflow:Restoring parameters from ./small_graph/best_model.ckpt
Epoch 56/60 Batch 20/77 Inputs (000) 545 - Loss: 0.064 - Validation loss: 0.014
Epoch 56/60 Batch 40/77 Inputs (000) 547 - Loss: 0.054 - Validation loss: 0.017
Epoch 56/60 Batch 60/77 Inputs (000) 550 - Loss: 0.060 - Validation loss: 0.012
Epoch 56/60 Batch 77/77 Inputs (000) 552 - Loss: 0.072 - Validation loss: 0.024
Saving graph...