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out.txt
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out.txt
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Model: "model"
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
input_1 (InputLayer) [(None, None)] 0
embedding (Embedding) (None, None, 128) 12928
bidirectional (Bidirectiona (None, None, 128) 98816
l)
bidirectional_1 (Bidirectio (None, 128) 98816
nal)
dense (Dense) (None, 1) 129
=================================================================
Total params: 210,689
Trainable params: 210,689
Non-trainable params: 0
_________________________________________________________________
<bound method NDFrame.head of 0 1 2 3 4 5 ... 55 56 57 58 59 60
0 2.00 3.71 4.28 2.07 9.54 9.86 ... 1.67 1.80 0.84 0.90 0.32 1
1 4.53 5.23 8.43 6.89 11.83 25.83 ... 1.91 1.40 0.49 0.52 0.44 1
2 2.62 5.82 10.99 10.83 9.74 22.80 ... 2.44 3.16 1.64 0.95 0.78 1
3 1.00 1.71 6.23 2.05 2.05 3.68 ... 0.73 0.50 0.44 0.40 1.17 1
4 7.62 6.66 4.81 3.94 5.90 6.49 ... 0.15 0.72 0.48 1.07 0.94 1
.. ... ... ... ... ... ... ... ... ... ... ... ... ..
203 1.87 3.46 1.68 1.77 3.93 16.30 ... 1.01 0.65 1.15 1.93 1.57 0
204 3.23 1.01 2.98 5.64 7.60 9.58 ... 0.63 0.34 0.32 0.62 0.67 0
205 5.22 4.37 1.80 2.92 3.51 11.71 ... 0.89 1.40 1.38 0.77 0.31 0
206 3.03 3.53 4.90 6.08 1.67 13.54 ... 0.35 0.34 0.79 0.36 0.48 0
207 2.60 3.63 1.36 2.72 2.14 3.38 ... 0.61 0.40 0.36 0.61 1.15 0
[208 rows x 61 columns]>
Int64Index([ 0, 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, 54, 55, 56, 57, 58, 59, 60],
dtype='int64')
0 float64
1 float64
2 float64
3 float64
4 float64
...
56 float64
57 float64
58 float64
59 float64
60 int64
Length: 61, dtype: object
Epoch 1/32
1/3 [=========>....................] - ETA: 12s - loss: 0.6944 - accuracy: 0.45312/3 [===================>..........] - ETA: 0s - loss: 0.6924 - accuracy: 0.4922 3/3 [==============================] - ETA: 0s - loss: 0.6929 - accuracy: 0.48803/3 [==============================] - 8s 870ms/step - loss: 0.6929 - accuracy: 0.4880 - val_loss: 0.6843 - val_accuracy: 0.5714
Epoch 2/32
1/3 [=========>....................] - ETA: 0s - loss: 0.6911 - accuracy: 0.48442/3 [===================>..........] - ETA: 0s - loss: 0.6869 - accuracy: 0.56253/3 [==============================] - ETA: 0s - loss: 0.6862 - accuracy: 0.58433/3 [==============================] - 0s 124ms/step - loss: 0.6862 - accuracy: 0.5843 - val_loss: 0.6791 - val_accuracy: 0.6667
Epoch 3/32
1/3 [=========>....................] - ETA: 0s - loss: 0.6788 - accuracy: 0.68752/3 [===================>..........] - ETA: 0s - loss: 0.6816 - accuracy: 0.62503/3 [==============================] - ETA: 0s - loss: 0.6781 - accuracy: 0.64463/3 [==============================] - 0s 121ms/step - loss: 0.6781 - accuracy: 0.6446 - val_loss: 0.6663 - val_accuracy: 0.7143
Epoch 4/32
1/3 [=========>....................] - ETA: 0s - loss: 0.6677 - accuracy: 0.64062/3 [===================>..........] - ETA: 0s - loss: 0.6679 - accuracy: 0.65623/3 [==============================] - ETA: 0s - loss: 0.6637 - accuracy: 0.65663/3 [==============================] - 0s 113ms/step - loss: 0.6637 - accuracy: 0.6566 - val_loss: 0.6401 - val_accuracy: 0.7143
Epoch 5/32
1/3 [=========>....................] - ETA: 0s - loss: 0.6607 - accuracy: 0.62502/3 [===================>..........] - ETA: 0s - loss: 0.6462 - accuracy: 0.66413/3 [==============================] - ETA: 0s - loss: 0.6269 - accuracy: 0.69283/3 [==============================] - 0s 122ms/step - loss: 0.6269 - accuracy: 0.6928 - val_loss: 0.5846 - val_accuracy: 0.6905
Epoch 6/32
1/3 [=========>....................] - ETA: 0s - loss: 0.6037 - accuracy: 0.67192/3 [===================>..........] - ETA: 0s - loss: 0.6016 - accuracy: 0.65623/3 [==============================] - ETA: 0s - loss: 0.5774 - accuracy: 0.69883/3 [==============================] - 0s 122ms/step - loss: 0.5774 - accuracy: 0.6988 - val_loss: 0.5095 - val_accuracy: 0.7857
Epoch 7/32
1/3 [=========>....................] - ETA: 0s - loss: 0.5009 - accuracy: 0.81252/3 [===================>..........] - ETA: 0s - loss: 0.4835 - accuracy: 0.82033/3 [==============================] - ETA: 0s - loss: 0.4896 - accuracy: 0.80123/3 [==============================] - 0s 125ms/step - loss: 0.4896 - accuracy: 0.8012 - val_loss: 0.4426 - val_accuracy: 0.8095
Epoch 8/32
1/3 [=========>....................] - ETA: 0s - loss: 0.4144 - accuracy: 0.81252/3 [===================>..........] - ETA: 0s - loss: 0.4139 - accuracy: 0.84383/3 [==============================] - ETA: 0s - loss: 0.4406 - accuracy: 0.81933/3 [==============================] - 0s 124ms/step - loss: 0.4406 - accuracy: 0.8193 - val_loss: 0.4293 - val_accuracy: 0.8095
Epoch 9/32
1/3 [=========>....................] - ETA: 0s - loss: 0.3308 - accuracy: 0.89062/3 [===================>..........] - ETA: 0s - loss: 0.3314 - accuracy: 0.85943/3 [==============================] - ETA: 0s - loss: 0.3941 - accuracy: 0.81933/3 [==============================] - 0s 119ms/step - loss: 0.3941 - accuracy: 0.8193 - val_loss: 0.4055 - val_accuracy: 0.7857
Epoch 10/32
1/3 [=========>....................] - ETA: 0s - loss: 0.3022 - accuracy: 0.89062/3 [===================>..........] - ETA: 0s - loss: 0.3001 - accuracy: 0.89843/3 [==============================] - ETA: 0s - loss: 0.3123 - accuracy: 0.88553/3 [==============================] - 0s 131ms/step - loss: 0.3123 - accuracy: 0.8855 - val_loss: 0.4427 - val_accuracy: 0.7619
Epoch 11/32
1/3 [=========>....................] - ETA: 0s - loss: 0.2794 - accuracy: 0.89062/3 [===================>..........] - ETA: 0s - loss: 0.2690 - accuracy: 0.90623/3 [==============================] - ETA: 0s - loss: 0.3152 - accuracy: 0.87953/3 [==============================] - 0s 126ms/step - loss: 0.3152 - accuracy: 0.8795 - val_loss: 0.4016 - val_accuracy: 0.8333
Epoch 12/32
1/3 [=========>....................] - ETA: 0s - loss: 0.3208 - accuracy: 0.87502/3 [===================>..........] - ETA: 0s - loss: 0.2681 - accuracy: 0.90623/3 [==============================] - ETA: 0s - loss: 0.2620 - accuracy: 0.92173/3 [==============================] - 0s 123ms/step - loss: 0.2620 - accuracy: 0.9217 - val_loss: 0.4840 - val_accuracy: 0.7381
Epoch 13/32
1/3 [=========>....................] - ETA: 0s - loss: 0.2300 - accuracy: 0.92192/3 [===================>..........] - ETA: 0s - loss: 0.2319 - accuracy: 0.92193/3 [==============================] - ETA: 0s - loss: 0.2424 - accuracy: 0.92173/3 [==============================] - 0s 132ms/step - loss: 0.2424 - accuracy: 0.9217 - val_loss: 0.4485 - val_accuracy: 0.8095
Epoch 14/32
1/3 [=========>....................] - ETA: 0s - loss: 0.2005 - accuracy: 0.95312/3 [===================>..........] - ETA: 0s - loss: 0.2211 - accuracy: 0.90623/3 [==============================] - ETA: 0s - loss: 0.2623 - accuracy: 0.88553/3 [==============================] - 0s 150ms/step - loss: 0.2623 - accuracy: 0.8855 - val_loss: 0.4691 - val_accuracy: 0.8333
Epoch 15/32
1/3 [=========>....................] - ETA: 0s - loss: 0.1629 - accuracy: 0.96882/3 [===================>..........] - ETA: 0s - loss: 0.1489 - accuracy: 0.96883/3 [==============================] - ETA: 0s - loss: 0.2183 - accuracy: 0.92773/3 [==============================] - 0s 123ms/step - loss: 0.2183 - accuracy: 0.9277 - val_loss: 0.5495 - val_accuracy: 0.7381
Epoch 16/32
1/3 [=========>....................] - ETA: 0s - loss: 0.1503 - accuracy: 0.93752/3 [===================>..........] - ETA: 0s - loss: 0.1279 - accuracy: 0.96093/3 [==============================] - ETA: 0s - loss: 0.1322 - accuracy: 0.95783/3 [==============================] - 0s 120ms/step - loss: 0.1322 - accuracy: 0.9578 - val_loss: 0.6356 - val_accuracy: 0.7381
Epoch 17/32
1/3 [=========>....................] - ETA: 0s - loss: 0.2801 - accuracy: 0.92192/3 [===================>..........] - ETA: 0s - loss: 0.2077 - accuracy: 0.93753/3 [==============================] - ETA: 0s - loss: 0.1903 - accuracy: 0.94583/3 [==============================] - 0s 118ms/step - loss: 0.1903 - accuracy: 0.9458 - val_loss: 0.5660 - val_accuracy: 0.7619
Epoch 18/32
1/3 [=========>....................] - ETA: 0s - loss: 0.1199 - accuracy: 0.96882/3 [===================>..........] - ETA: 0s - loss: 0.1293 - accuracy: 0.96093/3 [==============================] - ETA: 0s - loss: 0.1432 - accuracy: 0.94583/3 [==============================] - 0s 115ms/step - loss: 0.1432 - accuracy: 0.9458 - val_loss: 0.6054 - val_accuracy: 0.7619
Epoch 19/32
1/3 [=========>....................] - ETA: 0s - loss: 0.1002 - accuracy: 0.96882/3 [===================>..........] - ETA: 0s - loss: 0.0855 - accuracy: 0.97663/3 [==============================] - ETA: 0s - loss: 0.0911 - accuracy: 0.96993/3 [==============================] - 0s 115ms/step - loss: 0.0911 - accuracy: 0.9699 - val_loss: 0.5464 - val_accuracy: 0.8095
Epoch 20/32
1/3 [=========>....................] - ETA: 0s - loss: 0.1175 - accuracy: 0.96882/3 [===================>..........] - ETA: 0s - loss: 0.1006 - accuracy: 0.97663/3 [==============================] - ETA: 0s - loss: 0.0946 - accuracy: 0.96993/3 [==============================] - 0s 114ms/step - loss: 0.0946 - accuracy: 0.9699 - val_loss: 0.5648 - val_accuracy: 0.8095
Epoch 21/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0918 - accuracy: 0.96882/3 [===================>..........] - ETA: 0s - loss: 0.1013 - accuracy: 0.96883/3 [==============================] - ETA: 0s - loss: 0.0939 - accuracy: 0.97593/3 [==============================] - 0s 116ms/step - loss: 0.0939 - accuracy: 0.9759 - val_loss: 0.5868 - val_accuracy: 0.8095
Epoch 22/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0484 - accuracy: 1.00002/3 [===================>..........] - ETA: 0s - loss: 0.0720 - accuracy: 0.99223/3 [==============================] - ETA: 0s - loss: 0.0726 - accuracy: 0.98803/3 [==============================] - 0s 114ms/step - loss: 0.0726 - accuracy: 0.9880 - val_loss: 0.6504 - val_accuracy: 0.8095
Epoch 23/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0570 - accuracy: 0.98442/3 [===================>..........] - ETA: 0s - loss: 0.0579 - accuracy: 0.98443/3 [==============================] - ETA: 0s - loss: 0.0506 - accuracy: 0.98803/3 [==============================] - 0s 114ms/step - loss: 0.0506 - accuracy: 0.9880 - val_loss: 0.7333 - val_accuracy: 0.7857
Epoch 24/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0601 - accuracy: 0.98442/3 [===================>..........] - ETA: 0s - loss: 0.0468 - accuracy: 0.98443/3 [==============================] - ETA: 0s - loss: 0.0448 - accuracy: 0.98803/3 [==============================] - 0s 115ms/step - loss: 0.0448 - accuracy: 0.9880 - val_loss: 0.7907 - val_accuracy: 0.7381
Epoch 25/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0553 - accuracy: 0.98442/3 [===================>..........] - ETA: 0s - loss: 0.0441 - accuracy: 0.98443/3 [==============================] - ETA: 0s - loss: 0.0422 - accuracy: 0.98803/3 [==============================] - 0s 115ms/step - loss: 0.0422 - accuracy: 0.9880 - val_loss: 0.7801 - val_accuracy: 0.7619
Epoch 26/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0643 - accuracy: 0.96882/3 [===================>..........] - ETA: 0s - loss: 0.0451 - accuracy: 0.98443/3 [==============================] - ETA: 0s - loss: 0.0371 - accuracy: 0.98803/3 [==============================] - 0s 116ms/step - loss: 0.0371 - accuracy: 0.9880 - val_loss: 0.7768 - val_accuracy: 0.7619
Epoch 27/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0327 - accuracy: 0.98442/3 [===================>..........] - ETA: 0s - loss: 0.0289 - accuracy: 0.99223/3 [==============================] - ETA: 0s - loss: 0.0252 - accuracy: 0.99403/3 [==============================] - 0s 116ms/step - loss: 0.0252 - accuracy: 0.9940 - val_loss: 0.8083 - val_accuracy: 0.7857
Epoch 28/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0218 - accuracy: 1.00002/3 [===================>..........] - ETA: 0s - loss: 0.0235 - accuracy: 0.99223/3 [==============================] - ETA: 0s - loss: 0.0228 - accuracy: 0.99403/3 [==============================] - 0s 115ms/step - loss: 0.0228 - accuracy: 0.9940 - val_loss: 0.9153 - val_accuracy: 0.7619
Epoch 29/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0095 - accuracy: 1.00002/3 [===================>..........] - ETA: 0s - loss: 0.0218 - accuracy: 0.99223/3 [==============================] - ETA: 0s - loss: 0.0187 - accuracy: 0.99403/3 [==============================] - 0s 117ms/step - loss: 0.0187 - accuracy: 0.9940 - val_loss: 0.9730 - val_accuracy: 0.7619
Epoch 30/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0219 - accuracy: 0.98442/3 [===================>..........] - ETA: 0s - loss: 0.0147 - accuracy: 0.99223/3 [==============================] - ETA: 0s - loss: 0.0135 - accuracy: 0.99403/3 [==============================] - 0s 115ms/step - loss: 0.0135 - accuracy: 0.9940 - val_loss: 0.9968 - val_accuracy: 0.7619
Epoch 31/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0072 - accuracy: 1.00002/3 [===================>..........] - ETA: 0s - loss: 0.0139 - accuracy: 0.99223/3 [==============================] - ETA: 0s - loss: 0.0119 - accuracy: 0.99403/3 [==============================] - 0s 117ms/step - loss: 0.0119 - accuracy: 0.9940 - val_loss: 0.9981 - val_accuracy: 0.7619
Epoch 32/32
1/3 [=========>....................] - ETA: 0s - loss: 0.0035 - accuracy: 1.00002/3 [===================>..........] - ETA: 0s - loss: 0.0098 - accuracy: 1.00003/3 [==============================] - ETA: 0s - loss: 0.0087 - accuracy: 1.00003/3 [==============================] - 0s 114ms/step - loss: 0.0087 - accuracy: 1.0000 - val_loss: 1.0450 - val_accuracy: 0.7619