Last active
June 9, 2018 13:26
-
-
Save f-rumblefish/2d592ab5ab1fd27521d180374a38e383 to your computer and use it in GitHub Desktop.
Trainging for Multi-Label Classification
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
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 |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment