ActivityTrackingWithSensorFusion/log.txt at last-working · harrywaugh/ActivityTrackingWithSensorFusion · GitHub

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###########################################################
######### Loading Data
###########################################################

Parsing Data uni
READ DATA FROM CACHE
READ GROUND TRUTH DATA FROM CACHE
Parsing Data tutoring0
READ DATA FROM CACHE
READ GROUND TRUTH DATA FROM CACHE
Parsing Data uni2
READ DATA FROM CACHE
READ GROUND TRUTH DATA FROM CACHE
Parsing Data uni1
READ DATA FROM CACHE
READ GROUND TRUTH DATA FROM CACHE

###########################################################
######### Hyper-Parameters
###########################################################

Sequence Length:  170
Sequence Offset:  85

###########################################################
######### Training Data
###########################################################

Training Activities:  3
['uni', 'tutoring0', 'uni2']
Number of Testing Activities:  1
['uni1']

###########################################################
######### Training Sequences and Batches
###########################################################

Training Data Consists of  2722  Unique Sequences of Length  170
Testing Data Consists of   1281  Unique Sequences of Length  170

Training Batch Size:  256
Batches per Epoch:  11

###########################################################
######### Validation Data
###########################################################


Number of Validation Sequences:  384

###########################################################
######### Model
###########################################################

_________________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
gru (GRU)                    (None, None, 128)         53760
_________________________________________________________________
gru_1 (GRU)                  (None, None, 128)         98688
_________________________________________________________________
gru_2 (GRU)                  (None, None, 128)         98688
_________________________________________________________________
gru_3 (GRU)                  (None, None, 128)         98688
_________________________________________________________________
gru_4 (GRU)                  (None, None, 128)         98688
_________________________________________________________________
gru_5 (GRU)                  (None, None, 128)         98688
_________________________________________________________________
dense (Dense)                (None, None, 2)           258
=================================================================
Total params: 547,458
Trainable params: 547,458
Non-trainable params: 0
_________________________________________________________________
Epoch 1/300
 1/11 [=>............................] - ETA: 19s - loss: 136.2900 2/11 [====>.........................] - ETA: 13s - loss: 118.6671 3/11 [=======>......................] - ETA: 10s - loss: 96.1631  4/11 [=========>....................] - ETA: 9s - loss: 85.1710  5/11 [============>.................] - ETA: 7s - loss: 74.3059 6/11 [===============>..............] - ETA: 5s - loss: 67.1569 7/11 [==================>...........] - ETA: 4s - loss: 63.4383 8/11 [====================>.........] - ETA: 3s - loss: 59.2667 9/11 [=======================>......] - ETA: 2s - loss: 54.120410/11 [==========================>...] - ETA: 1s - loss: 51.7366[2K[2K11/11 [==============================] - 14s 1s/step - loss: 48.8577 - val_loss: 13.4626
Epoch 2/300
 1/11 [=>............................] - ETA: 12s - loss: 12.6768 2/11 [====>.........................] - ETA: 10s - loss: 17.7873 3/11 [=======>......................] - ETA: 8s - loss: 19.7217  4/11 [=========>....................] - ETA: 7s - loss: 19.8370 5/11 [============>.................] - ETA: 6s - loss: 17.9936 6/11 [===============>..............] - ETA: 5s - loss: 18.6181 7/11 [==================>...........] - ETA: 4s - loss: 17.8933 8/11 [====================>.........] - ETA: 3s - loss: 17.6132 9/11 [=======================>......] - ETA: 2s - loss: 17.308110/11 [==========================>...] - ETA: 1s - loss: 17.2680[2K[2K11/11 [==============================] - 12s 1s/step - loss: 16.3303 - val_loss: 7.7111
Epoch 3/300
 1/11 [=>............................] - ETA: 10s - loss: 8.8341 2/11 [====>.........................] - ETA: 9s - loss: 11.1075 3/11 [=======>......................] - ETA: 8s - loss: 9.5280  4/11 [=========>....................] - ETA: 7s - loss: 10.1881 5/11 [============>.................] - ETA: 6s - loss: 10.0930 6/11 [===============>..............] - ETA: 5s - loss: 9.5916  7/11 [==================>...........] - ETA: 4s - loss: 10.8503 8/11 [====================>.........] - ETA: 3s - loss: 11.4566 9/11 [=======================>......] - ETA: 2s - loss: 11.809710/11 [==========================>...] - ETA: 1s - loss: 11.6322[2K[2K11/11 [==============================] - 12s 1s/step - loss: 11.5755 - val_loss: 19.4585
Epoch 4/300
 1/11 [=>............................] - ETA: 9s - loss: 20.5354 2/11 [====>.........................] - ETA: 8s - loss: 17.8153 3/11 [=======>......................] - ETA: 8s - loss: 14.3600 4/11 [=========>....................] - ETA: 7s - loss: 14.0400 5/11 [============>.................] - ETA: 6s - loss: 13.7134 6/11 [===============>..............] - ETA: 5s - loss: 12.9520 7/11 [==================>...........] - ETA: 4s - loss: 12.4412 8/11 [====================>.........] - ETA: 3s - loss: 12.1889 9/11 [=======================>......] - ETA: 2s - loss: 11.804910/11 [==========================>...] - ETA: 1s - loss: 11.1973[2K[2K11/11 [==============================] - 13s 1s/step - loss: 10.8368 - val_loss: 6.0300
Epoch 5/300
 1/11 [=>............................] - ETA: 10s - loss: 7.2322 2/11 [====>.........................] - ETA: 9s - loss: 7.7756  3/11 [=======>......................] - ETA: 8s - loss: 7.5824 4/11 [=========>....................] - ETA: 7s - loss: 8.0109 5/11 [============>.................] - ETA: 6s - loss: 7.4744 6/11 [===============>..............] - ETA: 5s - loss: 8.1340 7/11 [==================>...........] - ETA: 4s - loss: 7.9695 8/11 [====================>.........] - ETA: 3s - loss: 8.3898 9/11 [=======================>......] - ETA: 2s - loss: 8.955210/11 [==========================>...] - ETA: 1s - loss: 8.6919[2K[2K11/11 [==============================] - 12s 1s/step - loss: 8.7188 - val_loss: 7.3486
Epoch 6/300
 1/11 [=>............................] - ETA: 9s - loss: 16.5802 2/11 [====>.........................] - ETA: 8s - loss: 14.0184 3/11 [=======>......................] - ETA: 8s - loss: 11.6992 4/11 [=========>....................] - ETA: 7s - loss: 11.7467 5/11 [============>.................] - ETA: 6s - loss: 11.8445 6/11 [===============>..............] - ETA: 5s - loss: 11.3889 7/11 [==================>...........] - ETA: 4s - loss: 10.7890 8/11 [====================>.........] - ETA: 3s - loss: 10.7243 9/11 [=======================>......] - ETA: 2s - loss: 10.446510/11 [==========================>...] - ETA: 1s - loss: 9.9349 [2K[2K11/11 [==============================] - 12s 1s/step - loss: 9.5814 - val_loss: 5.5821
Epoch 7/300
 1/11 [=>............................] - ETA: 9s - loss: 5.1898 2/11 [====>.........................] - ETA: 8s - loss: 6.4631 3/11 [=======>......................] - ETA: 7s - loss: 6.6651 4/11 [=========>....................] - ETA: 6s - loss: 6.8430 5/11 [============>.................] - ETA: 6s - loss: 6.8167 6/11 [===============>..............] - ETA: 5s - loss: 6.7564 7/11 [==================>...........] - ETA: 4s - loss: 6.5525 8/11 [====================>.........] - ETA: 3s - loss: 6.5618 9/11 [=======================>......] - ETA: 2s - loss: 6.603010/11 [==========================>...] - ETA: 1s - loss: 6.3125[2K[2K11/11 [==============================] - 13s 1s/step - loss: 6.1719 - val_loss: 3.9607
Epoch 8/300
 1/11 [=>............................] - ETA: 9s - loss: 3.7574 2/11 [====>.........................] - ETA: 8s - loss: 4.6316 3/11 [=======>......................] - ETA: 7s - loss: 4.2086 4/11 [=========>....................] - ETA: 6s - loss: 4.8297 5/11 [============>.................] - ETA: 6s - loss: 4.9209 6/11 [===============>..............] - ETA: 5s - loss: 5.2211 7/11 [==================>...........] - ETA: 4s - loss: 5.4615 8/11 [====================>.........] - ETA: 3s - loss: 5.2410 9/11 [=======================>......] - ETA: 2s - loss: 5.088010/11 [==========================>...] - ETA: 1s - loss: 5.0736[2K[2K11/11 [==============================] - 12s 1s/step - loss: 4.8870 - val_loss: 2.1641
Epoch 9/300
 1/11 [=>............................] - ETA: 9s - loss: 4.3601 2/11 [====>.........................] - ETA: 10s - loss: 4.1809 3/11 [=======>......................] - ETA: 8s - loss: 4.1904  4/11 [=========>....................] - ETA: 7s - loss: 3.9450 5/11 [============>.................] - ETA: 6s - loss: 4.2205 6/11 [===============>..............] - ETA: 5s - loss: 4.2083 7/11 [==================>...........] - ETA: 4s - loss: 4.3673 8/11 [====================>.........] - ETA: 3s - loss: 4.4588 9/11 [=======================>......] - ETA: 2s - loss: 4.364810/11 [==========================>...] - ETA: 1s - loss: 4.3561[2K[2K11/11 [==============================] - 13s 1s/step - loss: 4.1779 - val_loss: 2.7496
Epoch 10/300
 1/11 [=>............................] - ETA: 12s - loss: 3.5410 2/11 [====>.........................] - ETA: 10s - loss: 3.8372 3/11 [=======>......................] - ETA: 8s - loss: 3.3638  4/11 [=========>....................] - ETA: 7s - loss: 4.1343 5/11 [============>.................] - ETA: 6s - loss: 4.2652 6/11 [===============>..............] - ETA: 5s - loss: 4.4466 7/11 [==================>...........] - ETA: 4s - loss: 4.7152 8/11 [====================>.........] - ETA: 3s - loss: 4.4520 9/11 [=======================>......] - ETA: 2s - loss: 4.591110/11 [==========================>...] - ETA: 1s - loss: 4.5058[2K[2K
Epoch 00010: ReduceLROnPlateau reducing learning rate to 0.00010000000474974513.
11/11 [==============================] - 12s 1s/step - loss: 4.5487 - val_loss: 6.1968
Epoch 11/300
 1/11 [=>............................] - ETA: 9s - loss: 8.2926 2/11 [====>.........................] - ETA: 9s - loss: 8.0679 3/11 [=======>......................] - ETA: 8s - loss: 7.5632 4/11 [=========>....................] - ETA: 7s - loss: 6.8419 5/11 [============>.................] - ETA: 6s - loss: 6.0287 6/11 [===============>..............] - ETA: 5s - loss: 5.3825 7/11 [==================>...........] - ETA: 4s - loss: 5.0943 8/11 [====================>.........] - ETA: 3s - loss: 5.0332 9/11 [=======================>......] - ETA: 2s - loss: 5.041610/11 [==========================>...] - ETA: 1s - loss: 5.0254[2K[2K11/11 [==============================] - 12s 1s/step - loss: 4.8635 - val_loss: 3.0934
Epoch 12/300
 1/11 [=>............................] - ETA: 12s - loss: 2.7724 2/11 [====>.........................] - ETA: 9s - loss: 2.3865  3/11 [=======>......................] - ETA: 8s - loss: 2.3525 4/11 [=========>....................] - ETA: 7s - loss: 2.5331 5/11 [============>.................] - ETA: 6s - loss: 2.7131 6/11 [===============>..............] - ETA: 5s - loss: 2.8055 7/11 [==================>...........] - ETA: 4s - loss: 2.7575 8/11 [====================>.........] - ETA: 3s - loss: 2.6487 9/11 [=======================>......] - ETA: 2s - loss: 2.572810/11 [==========================>...] - ETA: 1s - loss: 2.5862[2K[2K11/11 [==============================] - 12s 1s/step - loss: 2.5693 - val_loss: 1.9711
Epoch 13/300
 1/11 [=>............................] - ETA: 9s - loss: 2.5971 2/11 [====>.........................] - ETA: 9s - loss: 2.2800 3/11 [=======>......................] - ETA: 8s - loss: 2.0899 4/11 [=========>....................] - ETA: 7s - loss: 2.0887 5/11 [============>.................] - ETA: 6s - loss: 2.1584 6/11 [===============>..............] - ETA: 5s - loss: 2.1998 7/11 [==================>...........] - ETA: 4s - loss: 2.1465 8/11 [====================>.........] - ETA: 3s - loss: 2.0813 9/11 [=======================>......] - ETA: 2s - loss: 2.052110/11 [==========================>...] - ETA: 1s - loss: 2.0638[2K[2K11/11 [==============================] - 12s 1s/step - loss: 2.0199 - val_loss: 1.5918
Epoch 14/300
 1/11 [=>............................] - ETA: 9s - loss: 1.8015 2/11 [====>.........................] - ETA: 8s - loss: 1.7278 3/11 [=======>......................] - ETA: 8s - loss: 1.7728 4/11 [=========>....................] - ETA: 7s - loss: 1.8096 5/11 [============>.................] - ETA: 6s - loss: 1.8386 6/11 [===============>..............] - ETA: 5s - loss: 1.8175 7/11 [==================>...........] - ETA: 4s - loss: 1.8140 8/11 [====================>.........] - ETA: 3s - loss: 1.8160 9/11 [=======================>......] - ETA: 2s - loss: 1.798310/11 [==========================>...] - ETA: 1s - loss: 1.7811[2K[2K11/11 [==============================] - 12s 1s/step - loss: 1.7338 - val_loss: 1.7520
Epoch 15/300
 1/11 [=>............................] - ETA: 9s - loss: 1.6499 2/11 [====>.........................] - ETA: 8s - loss: 1.6963 3/11 [=======>......................] - ETA: 7s - loss: 1.7109 4/11 [=========>....................] - ETA: 7s - loss: 1.7131 5/11 [============>.................] - ETA: 6s - loss: 1.6698 6/11 [===============>..............] - ETA: 5s - loss: 1.6805 7/11 [==================>...........] - ETA: 4s - loss: 1.6815 8/11 [====================>.........] - ETA: 3s - loss: 1.6770 9/11 [=======================>......] - ETA: 2s - loss: 1.666310/11 [==========================>...] - ETA: 1s - loss: 1.6649[2K[2K11/11 [==============================] - 13s 1s/step - loss: 1.6384 - val_loss: 1.5668
Epoch 16/300
 1/11 [=>............................] - ETA: 10s - loss: 1.6472 2/11 [====>.........................] - ETA: 9s - loss: 1.7198  3/11 [=======>......................] - ETA: 8s - loss: 1.6628 4/11 [=========>....................] - ETA: 7s - loss: 1.6420 5/11 [============>.................] - ETA: 6s - loss: 1.6389 6/11 [===============>..............] - ETA: 5s - loss: 1.6333 7/11 [==================>...........] - ETA: 4s - loss: 1.6367 8/11 [====================>.........] - ETA: 3s - loss: 1.6324 9/11 [=======================>......] - ETA: 2s - loss: 1.628910/11 [==========================>...] - ETA: 1s - loss: 1.6142[2K[2K11/11 [==============================] - 12s 1s/step - loss: 1.5938 - val_loss: 1.6324
Epoch 17/300
 1/11 [=>............................] - ETA: 10s - loss: 1.6509 2/11 [====>.........................] - ETA: 9s - loss: 1.5997  3/11 [=======>......................] - ETA: 8s - loss: 1.5768 4/11 [=========>....................] - ETA: 7s - loss: 1.5982 5/11 [============>.................] - ETA: 6s - loss: 1.5964 6/11 [===============>..............] - ETA: 5s - loss: 1.5956 7/11 [==================>...........] - ETA: 4s - loss: 1.6012 8/11 [====================>.........] - ETA: 3s - loss: 1.5944 9/11 [=======================>......] - ETA: 2s - loss: 1.596910/11 [==========================>...] - ETA: 1s - loss: 1.5936[2K[2K
Epoch 00017: ReduceLROnPlateau reducing learning rate to 1.0000000474974514e-05.
11/11 [==============================] - 12s 1s/step - loss: 1.5703 - val_loss: 1.5914
Epoch 18/300
 1/11 [=>............................] - ETA: 9s - loss: 1.5488 2/11 [====>.........................] - ETA: 8s - loss: 1.5955 3/11 [=======>......................] - ETA: 7s - loss: 1.5986 4/11 [=========>....................] - ETA: 6s - loss: 1.5894 5/11 [============>.................] - ETA: 5s - loss: 1.6086 6/11 [===============>..............] - ETA: 4s - loss: 1.5907 7/11 [==================>...........] - ETA: 4s - loss: 1.5995 8/11 [====================>.........] - ETA: 3s - loss: 1.5921 9/11 [=======================>......] - ETA: 2s - loss: 1.586110/11 [==========================>...] - ETA: 1s - loss: 1.5798[2K[2K11/11 [==============================] - 12s 1s/step - loss: 1.5520 - val_loss: 1.5523
Epoch 19/300
 1/11 [=>............................] - ETA: 10s - loss: 1.7204 2/11 [====>.........................] - ETA: 9s - loss: 1.6372  3/11 [=======>......................] - ETA: 8s - loss: 1.5745 4/11 [=========>....................] - ETA: 7s - loss: 1.5880 5/11 [============>.................] - ETA: 6s - loss: 1.5772 6/11 [===============>..............] - ETA: 5s - loss: 1.5773 7/11 [==================>...........] - ETA: 4s - loss: 1.5699 8/11 [====================>.........] - ETA: 3s - loss: 1.5842 9/11 [=======================>......] - ETA: 2s - loss: 1.576610/11 [==========================>...] - ETA: 1s - loss: 1.5773[2K[2K11/11 [==============================] - 12s 1s/step - loss: 1.5496 - val_loss: 1.5634
Epoch 20/300
 1/11 [=>............................] - ETA: 9s - loss: 1.4063 2/11 [====>.........................] - ETA: 8s - loss: 1.5645 3/11 [=======>......................] - ETA: 7s - loss: 1.6017 4/11 [=========>....................] - ETA: 6s - loss: 1.5940 5/11 [============>.................] - ETA: 5s - loss: 1.6115 6/11 [===============>..............] - ETA: 4s - loss: 1.5983 7/11 [==================>...........] - ETA: 4s - loss: 1.5992 8/11 [====================>.........] - ETA: 3s - loss: 1.5847 9/11 [=======================>......] - ETA: 2s - loss: 1.579710/11 [==========================>...] - ETA: 1s - loss: 1.5798[2K[2K
Epoch 00020: ReduceLROnPlateau reducing learning rate to 1.0000000656873453e-06.
11/11 [==============================] - 12s 1s/step - loss: 1.5471 - val_loss: 1.5586
Epoch 21/300
 1/11 [=>............................] - ETA: 9s - loss: 1.5568 2/11 [====>.........................] - ETA: 8s - loss: 1.5975 3/11 [=======>......................] - ETA: 8s - loss: 1.6060 4/11 [=========>....................] - ETA: 6s - loss: 1.5839 5/11 [============>.................] - ETA: 5s - loss: 1.5944 6/11 [===============>..............] - ETA: 5s - loss: 1.5965 7/11 [==================>...........] - ETA: 4s - loss: 1.5866 8/11 [====================>.........] - ETA: 3s - loss: 1.5661 9/11 [=======================>......] - ETA: 2s - loss: 1.572210/11 [==========================>...] - ETA: 1s - loss: 1.5798[2K[2K11/11 [==============================] - 12s 1s/step - loss: 1.5441 - val_loss: 1.5569
Epoch 22/300
 1/11 [=>............................] - ETA: 9s - loss: 1.6123 2/11 [====>.........................] - ETA: 8s - loss: 1.5912 3/11 [=======>......................] - ETA: 8s - loss: 1.5681 4/11 [=========>....................] - ETA: 7s - loss: 1.5794 5/11 [============>.................] - ETA: 6s - loss: 1.5764 6/11 [===============>..............] - ETA: 5s - loss: 1.5563 7/11 [==================>...........] - ETA: 4s - loss: 1.5566 8/11 [====================>.........] - ETA: 3s - loss: 1.5638 9/11 [=======================>......] - ETA: 2s - loss: 1.569710/11 [==========================>...] - ETA: 1s - loss: 1.5723[2K[2K
Epoch 00022: ReduceLROnPlateau reducing learning rate to 1.0000001111620805e-07.
11/11 [==============================] - 13s 1s/step - loss: 1.5464 - val_loss: 1.5598
Epoch 00022: early stopping

###########################################################
######### Testing Data
###########################################################

Test Data
1/1 [==============================] - 152s 152s/step
loss (test-set): 3.4985053539276123
Accuracy of GPS:  14.19821065975769
Accuracy of RNN:  57.578089032372745
Accuracy of GPS:  4.244203826619129
Accuracy of RNN:  37.4398281580106
Accuracy of GPS:  4.147782885750094
Accuracy of RNN:  43.46946646991556
Accuracy of GPS:  7.065320232180366
Accuracy of RNN:  31.652512971559602