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@f-rumblefish
Last active June 9, 2018 13:26
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Trainging for Multi-Label Classification
Train on 9000 samples, validate on 1000 samples
Epoch 1/15
9000/9000 [==============================] - 1865s 207ms/step - loss: 0.6278 - acc: 0.6629 - val_loss: 0.5947 - val_acc: 0.6845
Epoch 2/15
9000/9000 [==============================] - 1810s 201ms/step - loss: 0.5216 - acc: 0.7424 - val_loss: 0.4472 - val_acc: 0.7916
Epoch 3/15
9000/9000 [==============================] - 1789s 199ms/step - loss: 0.4024 - acc: 0.8191 - val_loss: 0.3396 - val_acc: 0.8529
Epoch 4/15
9000/9000 [==============================] - 1817s 202ms/step - loss: 0.3204 - acc: 0.8646 - val_loss: 0.3059 - val_acc: 0.8740
Epoch 5/15
9000/9000 [==============================] - 1914s 213ms/step - loss: 0.2713 - acc: 0.8891 - val_loss: 0.2405 - val_acc: 0.9062
Epoch 6/15
9000/9000 [==============================] - 1843s 205ms/step - loss: 0.2310 - acc: 0.9070 - val_loss: 0.2212 - val_acc: 0.9123
Epoch 7/15
9000/9000 [==============================] - 2167s 241ms/step - loss: 0.2020 - acc: 0.9207 - val_loss: 0.2408 - val_acc: 0.9030
Epoch 8/15
9000/9000 [==============================] - 2346s 261ms/step - loss: 0.1842 - acc: 0.9282 - val_loss: 0.1669 - val_acc: 0.9360
Epoch 9/15
9000/9000 [==============================] - 2142s 238ms/step - loss: 0.1657 - acc: 0.9364 - val_loss: 0.1771 - val_acc: 0.9313
Epoch 10/15
9000/9000 [==============================] - 2063s 229ms/step - loss: 0.1521 - acc: 0.9420 - val_loss: 0.1699 - val_acc: 0.9354
Epoch 11/15
9000/9000 [==============================] - 1570s 174ms/step - loss: 0.1433 - acc: 0.9459 - val_loss: 0.1459 - val_acc: 0.9453
Epoch 12/15
9000/9000 [==============================] - 1561s 173ms/step - loss: 0.1283 - acc: 0.9512 - val_loss: 0.1292 - val_acc: 0.9510
Epoch 13/15
9000/9000 [==============================] - 1820s 202ms/step - loss: 0.1217 - acc: 0.9537 - val_loss: 0.1362 - val_acc: 0.9479
Epoch 14/15
9000/9000 [==============================] - 1976s 220ms/step - loss: 0.1131 - acc: 0.9571 - val_loss: 0.1090 - val_acc: 0.9597
Epoch 15/15
9000/9000 [==============================] - 1718s 191ms/step - loss: 0.1054 - acc: 0.9607 - val_loss: 0.1097 - val_acc: 0.9614
Test on 1000 samples
1000/1000 [==============================] - 64s 64ms/step
acc = 0.9610000028610229
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