-
Notifications
You must be signed in to change notification settings - Fork 2
/
Copy pathresult
53 lines (53 loc) · 3.28 KB
/
result
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
Using Theano backend.
Evaluate IRNN...
Train on 60000 samples, validate on 10000 samples
Epoch 1/200
60000/60000 [==============================] - 311s - loss: 2.0613 - acc: 0.2266 - val_loss: 1.9491 - val_acc: 0.2807
Epoch 2/200
60000/60000 [==============================] - 316s - loss: 1.8944 - acc: 0.2933 - val_loss: 1.7288 - val_acc: 0.3602
Epoch 3/200
60000/60000 [==============================] - 314s - loss: 1.6461 - acc: 0.4014 - val_loss: 1.5400 - val_acc: 0.4477
Epoch 4/200
60000/60000 [==============================] - 315s - loss: 1.5022 - acc: 0.4572 - val_loss: 1.4076 - val_acc: 0.4948
Epoch 5/200
60000/60000 [==============================] - 307s - loss: 1.3471 - acc: 0.5234 - val_loss: 1.2436 - val_acc: 0.5666
Epoch 6/200
60000/60000 [==============================] - 303s - loss: 1.2297 - acc: 0.5640 - val_loss: 1.1702 - val_acc: 0.5770
Epoch 7/200
60000/60000 [==============================] - 304s - loss: 1.1884 - acc: 0.5774 - val_loss: 1.1457 - val_acc: 0.5925
Epoch 8/200
60000/60000 [==============================] - 308s - loss: 1.1611 - acc: 0.5866 - val_loss: 1.1307 - val_acc: 0.6061
Epoch 9/200
60000/60000 [==============================] - 312s - loss: 1.1413 - acc: 0.5914 - val_loss: 1.0937 - val_acc: 0.6069
Epoch 10/200
60000/60000 [==============================] - 412s - loss: 1.1222 - acc: 0.5976 - val_loss: 1.0921 - val_acc: 0.6126
Epoch 11/200
60000/60000 [==============================] - 352s - loss: 1.1059 - acc: 0.6045 - val_loss: 1.0939 - val_acc: 0.6050
Epoch 12/200
60000/60000 [==============================] - 343s - loss: 1.0886 - acc: 0.6091 - val_loss: 1.0557 - val_acc: 0.6128
Epoch 13/200
60000/60000 [==============================] - 342s - loss: 1.0747 - acc: 0.6166 - val_loss: 1.0370 - val_acc: 0.6314
Epoch 14/200
60000/60000 [==============================] - 360s - loss: 1.0579 - acc: 0.6194 - val_loss: 1.0250 - val_acc: 0.6325
Epoch 15/200
60000/60000 [==============================] - 335s - loss: 1.0434 - acc: 0.6260 - val_loss: 1.0142 - val_acc: 0.6332
Epoch 16/200
60000/60000 [==============================] - 352s - loss: 1.0313 - acc: 0.6296 - val_loss: 1.0148 - val_acc: 0.6330
Epoch 17/200
60000/60000 [==============================] - 554s - loss: 1.0154 - acc: 0.6360 - val_loss: 0.9899 - val_acc: 0.6452
Epoch 18/200
60000/60000 [==============================] - 478s - loss: 1.0038 - acc: 0.6403 - val_loss: 0.9896 - val_acc: 0.6368
Epoch 19/200
60000/60000 [==============================] - 476s - loss: 0.9894 - acc: 0.6452 - val_loss: 0.9657 - val_acc: 0.6567
Epoch 20/200
60000/60000 [==============================] - 454s - loss: 0.9754 - acc: 0.6516 - val_loss: 0.9571 - val_acc: 0.6568
Epoch 21/200
60000/60000 [==============================] - 380s - loss: 0.9615 - acc: 0.6569 - val_loss: 1.0008 - val_acc: 0.6435
Epoch 22/200
60000/60000 [==============================] - 342s - loss: 0.9488 - acc: 0.6633 - val_loss: 0.9374 - val_acc: 0.6658
Epoch 23/200
60000/60000 [==============================] - 336s - loss: 0.9353 - acc: 0.6673 - val_loss: 0.9157 - val_acc: 0.6717
Epoch 24/200
60000/60000 [==============================] - 333s - loss: 0.9195 - acc: 0.6731 - val_loss: 1.0275 - val_acc: 0.6365
Epoch 25/200
60000/60000 [==============================] - 339s - loss: 0.9031 - acc: 0.6808 - val_loss: 0.8764 - val_acc: 0.6930