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output.txt
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output.txt
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Epoch 1/5
535/535 [==============================] - 43s 78ms/step - loss: 0.4283 - accuracy: 0.8751 - val_loss: 0.1710 - val_accuracy: 0.9598
Epoch 2/5
535/535 [==============================] - 43s 80ms/step - loss: 0.1047 - accuracy: 0.9693 - val_loss: 0.1563 - val_accuracy: 0.9644
Epoch 3/5
535/535 [==============================] - 45s 84ms/step - loss: 0.0546 - accuracy: 0.9826 - val_loss: 0.1574 - val_accuracy: 0.9621
Epoch 4/5
535/535 [==============================] - 44s 83ms/step - loss: 0.0282 - accuracy: 0.9911 - val_loss: 0.2817 - val_accuracy: 0.9317
Epoch 5/5
535/535 [==============================] - 43s 80ms/step - loss: 0.0136 - accuracy: 0.9958 - val_loss: 0.1841 - val_accuracy: 0.9605
134/134 [==============================] - 1s 7ms/step - loss: 0.1841 - accuracy: 0.9605
Test Loss: 0.18410637974739075, Test Accuracy: 0.9604585766792297
Model: "model_1"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
content_input (InputLayer) [(None, 100)] 0 []
embedding_1 (Embedding) (None, 100, 100) 4569500 ['content_input[0][0]']
conv1d_1 (Conv1D) (None, 96, 128) 64128 ['embedding_1[0][0]']
dropout_1 (Dropout) (None, 96, 128) 0 ['conv1d_1[0][0]']
global_max_pooling1d_1 (Gl (None, 128) 0 ['dropout_1[0][0]']
obalMaxPooling1D)
flatten_1 (Flatten) (None, 128) 0 ['global_max_pooling1d_1[0][0]
']
text_structure_input (Inpu [(None, 16)] 0 []
tLayer)
url_structure_input (Input [(None, 1000)] 0 []
Layer)
concatenate_1 (Concatenate (None, 1144) 0 ['flatten_1[0][0]',
) 'text_structure_input[0][0]',
'url_structure_input[0][0]']
dense_2 (Dense) (None, 128) 146560 ['concatenate_1[0][0]']
dense_3 (Dense) (None, 8) 1032 ['dense_2[0][0]']
==================================================================================================
Total params: 4781220 (18.24 MB)
Trainable params: 4781220 (18.24 MB)
Non-trainable params: 0 (0.00 Byte)
__________________________________________________________________________________________________
535/535 [==============================] - 44s 80ms/step - loss: 0.4369 - accuracy: 0.8781 - val_loss: 0.1737 - val_accuracy: 0.9628
Epoch 2/5
535/535 [==============================] - 42s 79ms/step - loss: 0.1011 - accuracy: 0.9702 - val_loss: 0.1438 - val_accuracy: 0.9644
Epoch 3/5
535/535 [==============================] - 43s 80ms/step - loss: 0.0514 - accuracy: 0.9836 - val_loss: 0.1675 - val_accuracy: 0.9553
Epoch 4/5
535/535 [==============================] - 43s 80ms/step - loss: 0.0279 - accuracy: 0.9906 - val_loss: 0.2518 - val_accuracy: 0.9298
Epoch 5/5
535/535 [==============================] - 42s 79ms/step - loss: 0.0156 - accuracy: 0.9959 - val_loss: 0.2158 - val_accuracy: 0.9558
134/134 [==============================] - 1s 4ms/step - loss: 0.2158 - accuracy: 0.9558
Test Loss: 0.21575389802455902, Test Accuracy: 0.9557791352272034
Model: "model"
__________________________________________________________________________________________________
Layer (type) Output Shape Param # Connected to
==================================================================================================
content_input (InputLayer) [(None, 100)] 0 []
embedding (Embedding) (None, 100, 100) 4569500 ['content_input[0][0]']
conv1d (Conv1D) (None, 96, 128) 64128 ['embedding[0][0]']
dropout (Dropout) (None, 96, 128) 0 ['conv1d[0][0]']
global_max_pooling1d (Glob (None, 128) 0 ['dropout[0][0]']
alMaxPooling1D)
flatten (Flatten) (None, 128) 0 ['global_max_pooling1d[0][0]']
text_structure_input (Inpu [(None, 16)] 0 []
tLayer)
url_structure_input (Input [(None, 1000)] 0 []
Layer)
concatenate (Concatenate) (None, 1144) 0 ['flatten[0][0]',
'text_structure_input[0][0]',
'url_structure_input[0][0]']
dense (Dense) (None, 128) 146560 ['concatenate[0][0]']
dense_1 (Dense) (None, 8) 1032 ['dense[0][0]']
==================================================================================================
Total params: 4781220 (18.24 MB)
Trainable params: 4781220 (18.24 MB)
Non-trainable params: 0 (0.00 Byte)
__________________________________________________________________________________________________