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Training iter#1.txt
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pranav@pranavlp:~$ cd Desktop/myrepo/
pranav@pranavlp:~/Desktop/myrepo$ python3 model.py
Using TensorFlow backend.
/usr/local/lib/python3.5/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.25.2) or chardet (3.0.4) doesn't match a supported version!
RequestsDependencyWarning)
100%|█████████████████████████████████████| 65108/65108 [45:12<00:00, 24.00it/s]
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
conv2d_1 (Conv2D) (None, 19, 13, 16) 160
_________________________________________________________________
conv2d_2 (Conv2D) (None, 19, 13, 32) 4640
_________________________________________________________________
conv2d_3 (Conv2D) (None, 19, 13, 64) 18496
_________________________________________________________________
conv2d_4 (Conv2D) (None, 19, 13, 128) 73856
_________________________________________________________________
max_pooling2d_1 (MaxPooling2 (None, 9, 6, 128) 0
_________________________________________________________________
dropout_1 (Dropout) (None, 9, 6, 128) 0
_________________________________________________________________
flatten_1 (Flatten) (None, 6912) 0
_________________________________________________________________
dense_1 (Dense) (None, 128) 884864
_________________________________________________________________
dense_2 (Dense) (None, 64) 8256
_________________________________________________________________
dense_3 (Dense) (None, 8) 520
=================================================================
Total params: 990,792
Trainable params: 990,792
Non-trainable params: 0
_________________________________________________________________
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
Train on 58597 samples, validate on 6511 samples
Epoch 1/10
2019-06-06 15:11:00.370214: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1895595000 Hz
2019-06-06 15:11:00.392000: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0xc9cd200 executing computations on platform Host. Devices:
2019-06-06 15:11:00.392115: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): <undefined>, <undefined>
58597/58597 [==============================] - 362s 6ms/step - loss: 1.5514 - acc: 0.4085 - val_loss: 1.3201 - val_acc: 0.5008
Epoch 00001: val_acc improved from -inf to 0.50084, saving model to models/conv.model
Epoch 2/10
58597/58597 [==============================] - 359s 6ms/step - loss: 1.2718 - acc: 0.5142 - val_loss: 1.1825 - val_acc: 0.5478
Epoch 00002: val_acc improved from 0.50084 to 0.54784, saving model to models/conv.model
Epoch 3/10
58597/58597 [==============================] - 356s 6ms/step - loss: 1.1658 - acc: 0.5573 - val_loss: 1.0931 - val_acc: 0.5824
Epoch 00003: val_acc improved from 0.54784 to 0.58240, saving model to models/conv.model
Epoch 4/10
58597/58597 [==============================] - 358s 6ms/step - loss: 1.0993 - acc: 0.5826 - val_loss: 1.0418 - val_acc: 0.6070
Epoch 00004: val_acc improved from 0.58240 to 0.60697, saving model to models/conv.model
Epoch 5/10
58597/58597 [==============================] - 363s 6ms/step - loss: 1.0400 - acc: 0.6075 - val_loss: 0.9795 - val_acc: 0.6337
Epoch 00005: val_acc improved from 0.60697 to 0.63370, saving model to models/conv.model
Epoch 6/10
58597/58597 [==============================] - 358s 6ms/step - loss: 1.0006 - acc: 0.6209 - val_loss: 1.0047 - val_acc: 0.6225
Epoch 00006: val_acc did not improve from 0.63370
Epoch 7/10
58597/58597 [==============================] - 358s 6ms/step - loss: 0.9605 - acc: 0.6348 - val_loss: 0.9426 - val_acc: 0.6417
Epoch 00007: val_acc improved from 0.63370 to 0.64168, saving model to models/conv.model
Epoch 8/10
58597/58597 [==============================] - 316s 5ms/step - loss: 0.9205 - acc: 0.6501 - val_loss: 0.8842 - val_acc: 0.6583
Epoch 00008: val_acc improved from 0.64168 to 0.65827, saving model to models/conv.model
Epoch 9/10
58597/58597 [==============================] - 323s 6ms/step - loss: 0.8909 - acc: 0.6601 - val_loss: 0.8730 - val_acc: 0.6635
Epoch 00009: val_acc improved from 0.65827 to 0.66349, saving model to models/conv.model
Epoch 10/10
58597/58597 [==============================] - 325s 6ms/step - loss: 0.8657 - acc: 0.6704 - val_loss: 0.8714 - val_acc: 0.6679
Epoch 00010: val_acc improved from 0.66349 to 0.66795, saving model to models/conv.model
pranav@pranavlp:~/Desktop/myrepo$ python3 model.py
Using TensorFlow backend.
/usr/local/lib/python3.5/dist-packages/requests/__init__.py:91: RequestsDependencyWarning: urllib3 (1.25.2) or chardet (3.0.4) doesn't match a supported version!
RequestsDependencyWarning)
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████| 65108/65108 [50:47<00:00, 21.37it/s]
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version.
Instructions for updating:
Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
lstm_1 (LSTM) (None, 19, 128) 72704
_________________________________________________________________
lstm_2 (LSTM) (None, 19, 128) 131584
_________________________________________________________________
dropout_1 (Dropout) (None, 19, 128) 0
_________________________________________________________________
time_distributed_1 (TimeDist (None, 19, 64) 8256
_________________________________________________________________
time_distributed_2 (TimeDist (None, 19, 32) 2080
_________________________________________________________________
time_distributed_3 (TimeDist (None, 19, 16) 528
_________________________________________________________________
time_distributed_4 (TimeDist (None, 19, 8) 136
_________________________________________________________________
flatten_1 (Flatten) (None, 152) 0
_________________________________________________________________
dense_5 (Dense) (None, 8) 1224
=================================================================
Total params: 216,512
Trainable params: 216,512
Non-trainable params: 0
_________________________________________________________________
WARNING:tensorflow:From /usr/local/lib/python3.5/dist-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version.
Instructions for updating:
Use tf.cast instead.
Train on 58597 samples, validate on 6511 samples
Epoch 1/10
2019-06-06 17:01:09.719212: I tensorflow/core/platform/profile_utils/cpu_utils.cc:94] CPU Frequency: 1895595000 Hz
2019-06-06 17:01:09.748421: I tensorflow/compiler/xla/service/service.cc:150] XLA service 0x723f9e0 executing computations on platform Host. Devices:
2019-06-06 17:01:09.748505: I tensorflow/compiler/xla/service/service.cc:158] StreamExecutor device (0): <undefined>, <undefined>
58597/58597 [==============================] - 150s 3ms/step - loss: 1.9531 - acc: 0.2355 - val_loss: 1.8199 - val_acc: 0.3129
Epoch 00001: val_acc improved from -inf to 0.31286, saving model to models/rec.model
Epoch 2/10
58597/58597 [==============================] - 143s 2ms/step - loss: 1.6974 - acc: 0.3522 - val_loss: 1.5887 - val_acc: 0.3921
Epoch 00002: val_acc improved from 0.31286 to 0.39211, saving model to models/rec.model
Epoch 3/10
58597/58597 [==============================] - 138s 2ms/step - loss: 1.5636 - acc: 0.4017 - val_loss: 1.5164 - val_acc: 0.4165
Epoch 00003: val_acc improved from 0.39211 to 0.41653, saving model to models/rec.model
Epoch 4/10
58597/58597 [==============================] - 125s 2ms/step - loss: 1.4707 - acc: 0.4373 - val_loss: 1.4378 - val_acc: 0.4611
Epoch 00004: val_acc improved from 0.41653 to 0.46107, saving model to models/rec.model
Epoch 5/10
58597/58597 [==============================] - 127s 2ms/step - loss: 1.4052 - acc: 0.4663 - val_loss: 1.3186 - val_acc: 0.4967
Epoch 00005: val_acc improved from 0.46107 to 0.49670, saving model to models/rec.model
Epoch 6/10
58597/58597 [==============================] - 126s 2ms/step - loss: 1.3448 - acc: 0.4888 - val_loss: 1.3049 - val_acc: 0.4985
Epoch 00006: val_acc improved from 0.49670 to 0.49854, saving model to models/rec.model
Epoch 7/10
58597/58597 [==============================] - 125s 2ms/step - loss: 1.2742 - acc: 0.5152 - val_loss: 1.1901 - val_acc: 0.5615
Epoch 00007: val_acc improved from 0.49854 to 0.56151, saving model to models/rec.model
Epoch 8/10
58597/58597 [==============================] - 128s 2ms/step - loss: 1.2087 - acc: 0.5440 - val_loss: 1.2022 - val_acc: 0.5540
Epoch 00008: val_acc did not improve from 0.56151
Epoch 9/10
58597/58597 [==============================] - 125s 2ms/step - loss: 1.1307 - acc: 0.5716 - val_loss: 1.1143 - val_acc: 0.5876
Epoch 00009: val_acc improved from 0.56151 to 0.58762, saving model to models/rec.model
Epoch 10/10
58597/58597 [==============================] - 125s 2ms/step - loss: 1.0737 - acc: 0.5969 - val_loss: 1.0558 - val_acc: 0.6117
Epoch 00010: val_acc improved from 0.58762 to 0.61173, saving model to models/rec.model
pranav@pranavlp:~/Desktop/myrepo$