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imdb_results.txt
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imdb_results.txt
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=======================================================================
Model name: imdb-1-14-100-0.001-7-m1
The combination: 1,
learning rate: 0.001,
epochs: 14,
batch size: 100,
seed: 7
optimizer: RMSprop, init_model: he_nromal, activatin: softplus
Training time: 21.44 seconds
Training Accuracy: 93.98%
Test accuracy: 88.54%
The Architecture of the Model:
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding_1 (Embedding) (None, None, 16) 160000
_________________________________________________________________
global_average_pooling1d_1 ( (None, 16) 0
_________________________________________________________________
dense_1 (Dense) (None, 32) 544
_________________________________________________________________
dense_2 (Dense) (None, 1) 33
=================================================================
Total params: 160,577
Trainable params: 160,577
Non-trainable params: 0
_________________________________________________________________
=======================================================================
=======================================================================
Model name: imdb-2-5-128-0.002-7-m2.ckpt
The dataset: imdb
, The combination: 2,
Learning rate: 5,
Epochs: 128,
Batch size: 0.002,
Seed: 7
, Other notes: m2
Notations: This is the fucking model saving
Training time: 50.23 seconds
Training Accuracy: 95.80%
Test accuracy: 32.08%
In the report the model name is: model 2
In the report the Training Accuracy: 0.96%
In the report the Test Accuracy: 0.32%
The Architecture of the Model:
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding_1 (Embedding) (None, 256, 32) 320000
_________________________________________________________________
conv1d_1 (Conv1D) (None, 256, 32) 3104
_________________________________________________________________
max_pooling1d_1 (MaxPooling1 (None, 128, 32) 0
_________________________________________________________________
flatten_1 (Flatten) (None, 4096) 0
_________________________________________________________________
dense_1 (Dense) (None, 20) 81940
_________________________________________________________________
dropout_1 (Dropout) (None, 20) 0
_________________________________________________________________
dense_2 (Dense) (None, 1) 21
=================================================================
Total params: 405,065
Trainable params: 405,065
Non-trainable params: 0
_________________________________________________________________
=======================================================================
=======================================================================
Model name: imdb-3-9-64-0.002-7-m3.ckpt
The dataset: imdb,
The combination: 3,
Epochs: 9,
Batch size: 64,
Learning rate: 0.002,
Seed: 7,
Other notes: m3
Notations: nothing
Training time: 1196.17 seconds
Training Accuracy: 94.74%
Test accuracy: 34.90%
In the report the model name is: optimizer: Adam, dr=0.2
In the report the Training Accuracy: 0.95%
In the report the Test Accuracy: 0.35%
The Architecture of the Model:
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding_1 (Embedding) (None, 256, 32) 320000
_________________________________________________________________
dropout_1 (Dropout) (None, 256, 32) 0
_________________________________________________________________
lstm_1 (LSTM) (None, 100) 53200
_________________________________________________________________
dropout_2 (Dropout) (None, 100) 0
_________________________________________________________________
dense_1 (Dense) (None, 1) 101
=================================================================
Total params: 373,301
Trainable params: 373,301
Non-trainable params: 0
_________________________________________________________________
=======================================================================
=======================================================================
Model name: imdb-3-19-500-0.002-7-m4.ckpt
The dataset: imdb,
The combination: 3,
Epochs: 19,
Batch size: 500,
Learning rate: 0.002,
Seed: 7,
Other notes: m4
Notations: nothing
Training time: 625.21 seconds
Training Accuracy: 81.27%
Test accuracy: 49.68%
In the report the model name is: optimizer: Adam, dr=0.2
In the report the Training Accuracy: 0.81%
In the report the Test Accuracy: 0.50%
The Architecture of the Model:
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding_1 (Embedding) (None, 256, 32) 320000
_________________________________________________________________
gru_1 (GRU) (None, 32) 6240
_________________________________________________________________
dense_1 (Dense) (None, 1) 33
=================================================================
Total params: 326,273
Trainable params: 326,273
Non-trainable params: 0
_________________________________________________________________
=======================================================================
=======================================================================
Model name: imdb-4-14-512-0.002-7-m5.ckpt
The dataset: imdb,
The combination: 4,
Epochs: 14,
Batch size: 512,
Learning rate: 0.002,
Seed: 7,
Other notes: m5
Notations: nothing
Training time: 133.06 seconds
Training Accuracy: 100.00%
Test accuracy: 65.39%
In the report the model name is: optimizer: Adam, dr=0.2
In the report the Training Accuracy: 1.00%
In the report the Test Accuracy: 0.65%
The Architecture of the Model:
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding_2 (Embedding) (None, 256, 32) 320000
_________________________________________________________________
flatten_1 (Flatten) (None, 8192) 0
_________________________________________________________________
dense_2 (Dense) (None, 250) 2048250
_________________________________________________________________
dropout_1 (Dropout) (None, 250) 0
_________________________________________________________________
dense_3 (Dense) (None, 1) 251
=================================================================
Total params: 2,368,501
Trainable params: 2,368,501
Non-trainable params: 0
_________________________________________________________________
=======================================================================
=======================================================================
Model name: imdb-5-10-500-0.002-7-m6.ckpt
The dataset: imdb,
The combination: 5,
Epochs: 10,
Batch size: 500,
Learning rate: 0.002,
Seed: 7,
Other notes: m6
Notations: nothing
Training time: 621.48 seconds
Training Accuracy: 97.74%
Test accuracy: 47.89%
In the report the model name is: optimizer: Adam
In the report the Training Accuracy: 0.98%
In the report the Test Accuracy: 0.48%
The Architecture of the Model:
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding_3 (Embedding) (None, 256, 32) 320000
_________________________________________________________________
conv1d_1 (Conv1D) (None, 256, 32) 3104
_________________________________________________________________
max_pooling1d_1 (MaxPooling1 (None, 128, 32) 0
_________________________________________________________________
lstm_1 (LSTM) (None, 100) 53200
_________________________________________________________________
dense_4 (Dense) (None, 1) 101
=================================================================
Total params: 376,405
Trainable params: 376,405
Non-trainable params: 0
_________________________________________________________________
=======================================================================
=======================================================================
Model name: imdb-4-5-512-0.002-7-m7.ckpt
The dataset: imdb,
The combination: 4,
Epochs: 5,
Batch size: 512,
Learning rate: 0.002,
Seed: 7,
Other notes: m7
Notations: nothing
Training time: 40.20 seconds
Training Accuracy: 100.00%
Test accuracy: 52.22%
In the report the model name is: optimizer: Adam, dr=0.5
In the report the Training Accuracy: 1.00%
In the report the Test Accuracy: 0.52%
The Architecture of the Model:
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding_4 (Embedding) (None, 256, 32) 320000
_________________________________________________________________
flatten_2 (Flatten) (None, 8192) 0
_________________________________________________________________
dense_5 (Dense) (None, 250) 2048250
_________________________________________________________________
dropout_1 (Dropout) (None, 250) 0
_________________________________________________________________
dense_6 (Dense) (None, 1) 251
=================================================================
Total params: 2,368,501
Trainable params: 2,368,501
Non-trainable params: 0
_________________________________________________________________
=======================================================================
=======================================================================
Model name: imdb-5-10-500-0.005-7-m8.ckpt
The dataset: imdb,
The combination: 5,
Epochs: 10,
Batch size: 500,
Learning rate: 0.005,
Seed: 7,
Other notes: m8
Notations: nothing
Training time: 711.38 seconds
Training Accuracy: 97.01%
Test accuracy: 40.24%
In the report the model name is: optimizer: Adam, all
In the report the Training Accuracy: 0.97%
In the report the Test Accuracy: 0.40%
The Architecture of the Model:
_________________________________________________________________
Layer (type) Output Shape Param #
=================================================================
embedding_5 (Embedding) (None, 256, 32) 320000
_________________________________________________________________
conv1d_2 (Conv1D) (None, 256, 32) 3104
_________________________________________________________________
average_pooling1d_1 (Average (None, 128, 32) 0
_________________________________________________________________
lstm_2 (LSTM) (None, 100) 53200
_________________________________________________________________
dropout_2 (Dropout) (None, 100) 0
_________________________________________________________________
dense_7 (Dense) (None, 16) 1616
_________________________________________________________________
dropout_3 (Dropout) (None, 16) 0
_________________________________________________________________
dense_8 (Dense) (None, 1) 17
=================================================================
Total params: 377,937
Trainable params: 377,937
Non-trainable params: 0
_________________________________________________________________
=======================================================================