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| author | InigoGutierrez <inigogf.95@gmail.com> | 2022-07-01 16:10:15 +0200 |
|---|---|---|
| committer | InigoGutierrez <inigogf.95@gmail.com> | 2022-07-01 16:10:15 +0200 |
| commit | b08408d23186205e71dfc68634021e3236bfb45c (patch) | |
| tree | 55e5679b6964902dadab1d5737546cfd4f0f2f0a /doc/listings/denseTraining.txt | |
| parent | ddde2a9a43daf870c26bef33f47abe45b414c3d0 (diff) | |
| download | imago-b08408d23186205e71dfc68634021e3236bfb45c.tar.gz imago-b08408d23186205e71dfc68634021e3236bfb45c.zip | |
First version.
Diffstat (limited to 'doc/listings/denseTraining.txt')
| -rw-r--r-- | doc/listings/denseTraining.txt | 40 |
1 files changed, 40 insertions, 0 deletions
diff --git a/doc/listings/denseTraining.txt b/doc/listings/denseTraining.txt new file mode 100644 index 0000000..0bfcb51 --- /dev/null +++ b/doc/listings/denseTraining.txt @@ -0,0 +1,40 @@ +Epoch 1/20 +148338/148338 - 1151s - loss: 1.1130 - accuracy: 0.6942 - val_loss: 0.6097 - val_accuracy: 0.8249 - 1151s/epoch - 8ms/step +Epoch 2/20 +148338/148338 - 1084s - loss: 0.5366 - accuracy: 0.8572 - val_loss: 0.4744 - val_accuracy: 0.8617 - 1084s/epoch - 7ms/step +Epoch 3/20 +148338/148338 - 1071s - loss: 0.4250 - accuracy: 0.8895 - val_loss: 0.4161 - val_accuracy: 0.8813 - 1071s/epoch - 7ms/step +Epoch 4/20 +148338/148338 - 1118s - loss: 0.3678 - accuracy: 0.9066 - val_loss: 0.3493 - val_accuracy: 0.9024 - 1118s/epoch - 8ms/step +Epoch 5/20 +148338/148338 - 1092s - loss: 0.3320 - accuracy: 0.9170 - val_loss: 0.3103 - val_accuracy: 0.9185 - 1092s/epoch - 7ms/step +Epoch 6/20 +148338/148338 - 1097s - loss: 0.3078 - accuracy: 0.9241 - val_loss: 0.3132 - val_accuracy: 0.9145 - 1097s/epoch - 7ms/step +Epoch 7/20 +148338/148338 - 1074s - loss: 0.2899 - accuracy: 0.9293 - val_loss: 0.2779 - val_accuracy: 0.9257 - 1074s/epoch - 7ms/step +Epoch 8/20 +148338/148338 - 1114s - loss: 0.2762 - accuracy: 0.9330 - val_loss: 0.2709 - val_accuracy: 0.9246 - 1114s/epoch - 8ms/step +Epoch 9/20 +148338/148338 - 1111s - loss: 0.2660 - accuracy: 0.9351 - val_loss: 0.2577 - val_accuracy: 0.9319 - 1111s/epoch - 7ms/step +Epoch 10/20 +148338/148338 - 1104s - loss: 0.2563 - accuracy: 0.9374 - val_loss: 0.2446 - val_accuracy: 0.9388 - 1104s/epoch - 7ms/step +Epoch 11/20 +148338/148338 - 1084s - loss: 0.2489 - accuracy: 0.9394 - val_loss: 0.2441 - val_accuracy: 0.9348 - 1084s/epoch - 7ms/step +Epoch 12/20 +148338/148338 - 1088s - loss: 0.2419 - accuracy: 0.9407 - val_loss: 0.2538 - val_accuracy: 0.9337 - 1088s/epoch - 7ms/step +Epoch 13/20 +148338/148338 - 1090s - loss: 0.2365 - accuracy: 0.9416 - val_loss: 0.2538 - val_accuracy: 0.9312 - 1090s/epoch - 7ms/step +Epoch 14/20 +148338/148338 - 1063s - loss: 0.2314 - accuracy: 0.9430 - val_loss: 0.2484 - val_accuracy: 0.9308 - 1063s/epoch - 7ms/step +Epoch 15/20 +148338/148338 - 1111s - loss: 0.2271 - accuracy: 0.9436 - val_loss: 0.2373 - val_accuracy: 0.9359 - 1111s/epoch - 7ms/step +Epoch 16/20 +148338/148338 - 1124s - loss: 0.2235 - accuracy: 0.9443 - val_loss: 0.2542 - val_accuracy: 0.9257 - 1124s/epoch - 8ms/step +Epoch 17/20 +148338/148338 - 1074s - loss: 0.2202 - accuracy: 0.9451 - val_loss: 0.2368 - val_accuracy: 0.9327 - 1074s/epoch - 7ms/step +Epoch 18/20 +148338/148338 - 1120s - loss: 0.2181 - accuracy: 0.9453 - val_loss: 0.2462 - val_accuracy: 0.9286 - 1120s/epoch - 8ms/step +Epoch 19/20 +148338/148338 - 1121s - loss: 0.2159 - accuracy: 0.9460 - val_loss: 0.2375 - val_accuracy: 0.9316 - 1121s/epoch - 8ms/step +Epoch 20/20 +148338/148338 - 1115s - loss: 0.2154 - accuracy: 0.9458 - val_loss: 0.2273 - val_accuracy: 0.9352 - 1115s/epoch - 8ms/step |