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logs.txt
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logs.txt
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Topic: 10
Model: vgg16
Epoch 1/100
2022-04-24 16:30:48.070779: I tensorflow/stream_executor/cuda/cuda_dnn.cc:369] Loaded cuDNN version 8005
95/95 - 111s - loss: 1.7023 - val_loss: 1.5004
Epoch 00001: val_loss improved from inf to 1.50044, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 52s - loss: 1.4871 - val_loss: 1.4997
Epoch 00002: val_loss improved from 1.50044 to 1.49966, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 54s - loss: 1.4236 - val_loss: 1.5733
Epoch 00003: val_loss did not improve from 1.49966
Epoch 4/100
95/95 - 53s - loss: 1.3823 - val_loss: 1.6181
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 1.49966
Epoch 5/100
95/95 - 53s - loss: 1.2893 - val_loss: 1.6405
Epoch 00005: val_loss did not improve from 1.49966
Epoch 6/100
95/95 - 53s - loss: 1.2618 - val_loss: 1.6585
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 1.49966
Epoch 7/100
95/95 - 54s - loss: 1.2188 - val_loss: 1.6734
Epoch 00007: val_loss did not improve from 1.49966
/opt/conda/lib/python3.7/site-packages/keras/engine/training.py:2035: UserWarning: `Model.predict_generator` is deprecated and will be removed in a future version. Please use `Model.predict`, which supports generators.
warnings.warn('`Model.predict_generator` is deprecated and '
/opt/conda/lib/python3.7/site-packages/nltk/translate/bleu_score.py:490: UserWarning:
Corpus/Sentence contains 0 counts of 2-gram overlaps.
BLEU scores might be undesirable; use SmoothingFunction().
warnings.warn(_msg)
/opt/conda/lib/python3.7/site-packages/nltk/translate/bleu_score.py:490: UserWarning:
Corpus/Sentence contains 0 counts of 3-gram overlaps.
BLEU scores might be undesirable; use SmoothingFunction().
warnings.warn(_msg)
/opt/conda/lib/python3.7/site-packages/nltk/translate/bleu_score.py:490: UserWarning:
Corpus/Sentence contains 0 counts of 4-gram overlaps.
BLEU scores might be undesirable; use SmoothingFunction().
warnings.warn(_msg)
BLEU=0.839
Model: vgg19
Downloading data from https://storage.googleapis.com/tensorflow/keras-applications/vgg19/vgg19_weights_tf_dim_ordering_tf_kernels.h5
574717952/574710816 [==============================] - 10s 0us/step
574726144/574710816 [==============================] - 10s 0us/step
Epoch 1/100
95/95 - 56s - loss: 1.6990 - val_loss: 1.4697
Epoch 00001: val_loss improved from inf to 1.46968, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 54s - loss: 1.4981 - val_loss: 1.4887
Epoch 00002: val_loss did not improve from 1.46968
Epoch 3/100
95/95 - 53s - loss: 1.4251 - val_loss: 1.5064
Epoch 00003: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00003: val_loss did not improve from 1.46968
Epoch 4/100
95/95 - 54s - loss: 1.3301 - val_loss: 1.5151
Epoch 00004: val_loss did not improve from 1.46968
Epoch 5/100
95/95 - 53s - loss: 1.3013 - val_loss: 1.5414
Epoch 00005: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00005: val_loss did not improve from 1.46968
Epoch 6/100
95/95 - 52s - loss: 1.2528 - val_loss: 1.5407
Epoch 00006: val_loss did not improve from 1.46968
BLEU=0.834
Topic: 15
Model: vgg16
Epoch 1/100
95/95 - 54s - loss: 2.1120 - val_loss: 1.9161
Epoch 00001: val_loss improved from inf to 1.91609, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 50s - loss: 1.8618 - val_loss: 1.9289
Epoch 00002: val_loss did not improve from 1.91609
Epoch 3/100
95/95 - 50s - loss: 1.7756 - val_loss: 1.9918
Epoch 00003: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00003: val_loss did not improve from 1.91609
Epoch 4/100
95/95 - 52s - loss: 1.6606 - val_loss: 1.9946
Epoch 00004: val_loss did not improve from 1.91609
Epoch 5/100
95/95 - 53s - loss: 1.6241 - val_loss: 2.0228
Epoch 00005: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00005: val_loss did not improve from 1.91609
Epoch 6/100
95/95 - 52s - loss: 1.5571 - val_loss: 2.0493
Epoch 00006: val_loss did not improve from 1.91609
BLEU=0.841
Model: vgg19
Epoch 1/100
95/95 - 53s - loss: 2.1166 - val_loss: 1.9376
Epoch 00001: val_loss improved from inf to 1.93760, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 53s - loss: 1.8695 - val_loss: 1.9208
Epoch 00002: val_loss improved from 1.93760 to 1.92078, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 52s - loss: 1.7797 - val_loss: 1.9765
Epoch 00003: val_loss did not improve from 1.92078
Epoch 4/100
95/95 - 54s - loss: 1.7243 - val_loss: 2.0357
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 1.92078
Epoch 5/100
95/95 - 52s - loss: 1.6189 - val_loss: 2.0534
Epoch 00005: val_loss did not improve from 1.92078
Epoch 6/100
95/95 - 52s - loss: 1.5854 - val_loss: 2.0700
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 1.92078
Epoch 7/100
95/95 - 52s - loss: 1.5324 - val_loss: 2.0899
Epoch 00007: val_loss did not improve from 1.92078
BLEU=0.836
Topic: 20
Model: vgg16
Epoch 1/100
95/95 - 53s - loss: 2.4423 - val_loss: 2.1728
Epoch 00001: val_loss improved from inf to 2.17279, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 53s - loss: 2.1663 - val_loss: 2.1554
Epoch 00002: val_loss improved from 2.17279 to 2.15538, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 54s - loss: 2.0435 - val_loss: 2.1912
Epoch 00003: val_loss did not improve from 2.15538
Epoch 4/100
95/95 - 50s - loss: 1.9835 - val_loss: 2.2510
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.15538
Epoch 5/100
95/95 - 52s - loss: 1.8496 - val_loss: 2.2793
Epoch 00005: val_loss did not improve from 2.15538
Epoch 6/100
95/95 - 50s - loss: 1.8140 - val_loss: 2.3329
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.15538
Epoch 7/100
95/95 - 51s - loss: 1.7421 - val_loss: 2.3496
Epoch 00007: val_loss did not improve from 2.15538
BLEU=0.766
Model: vgg19
Epoch 1/100
95/95 - 56s - loss: 2.4530 - val_loss: 2.1699
Epoch 00001: val_loss improved from inf to 2.16992, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 53s - loss: 2.1493 - val_loss: 2.1788
Epoch 00002: val_loss did not improve from 2.16992
Epoch 3/100
95/95 - 54s - loss: 2.0464 - val_loss: 2.2054
Epoch 00003: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00003: val_loss did not improve from 2.16992
Epoch 4/100
95/95 - 54s - loss: 1.9091 - val_loss: 2.2360
Epoch 00004: val_loss did not improve from 2.16992
Epoch 5/100
95/95 - 55s - loss: 2.5543 - val_loss: 2.2193
Epoch 00001: val_loss improved from inf to 2.21932, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 49s - loss: 2.2213 - val_loss: 2.2505
Epoch 00002: val_loss did not improve from 2.21932
Epoch 3/100
95/95 - 50s - loss: 2.1091 - val_loss: 2.2919
Epoch 00003: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00003: val_loss did not improve from 2.21932
Epoch 4/100
95/95 - 52s - loss: 1.9494 - val_loss: 2.3136
Epoch 00004: val_loss did not improve from 2.21932
Epoch 5/100
95/95 - 57s - loss: 1.8900 - val_loss: 2.3573
Epoch 00005: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00005: val_loss did not improve from 2.21932
Epoch 6/100
95/95 - 53s - loss: 1.8139 - val_loss: 2.3812
Epoch 00006: val_loss did not improve from 2.21932
BLEU=0.764
Model: vgg19
Epoch 1/100
95/95 - 52s - loss: 2.5481 - val_loss: 2.2344
Epoch 00001: val_loss improved from inf to 2.23442, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 53s - loss: 2.1945 - val_loss: 2.1850
Epoch 00002: val_loss improved from 2.23442 to 2.18497, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 2.0960 - val_loss: 2.2452
Epoch 00003: val_loss did not improve from 2.18497
Epoch 4/100
95/95 - 54s - loss: 1.9993 - val_loss: 2.2873
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.18497
Epoch 5/100
95/95 - 52s - loss: 1.8665 - val_loss: 2.3043
Epoch 00005: val_loss did not improve from 2.18497
Epoch 6/100
95/95 - 53s - loss: 1.8216 - val_loss: 2.3526
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.18497
Epoch 7/100
95/95 - 53s - loss: 1.7521 - val_loss: 2.3682
Epoch 00007: val_loss did not improve from 2.18497
BLEU=0.758
Topic: 30
Model: vgg16
Epoch 1/100
95/95 - 55s - loss: 2.7893 - val_loss: 2.5271
Epoch 00001: val_loss improved from inf to 2.52709, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 52s - loss: 2.4616 - val_loss: 2.5100
Epoch 00002: val_loss improved from 2.52709 to 2.51003, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 54s - loss: 2.3269 - val_loss: 2.5530
Epoch 00003: val_loss did not improve from 2.51003
Epoch 4/100
95/95 - 51s - loss: 2.2218 - val_loss: 2.6330
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.51003
Epoch 5/100
95/95 - 52s - loss: 2.0636 - val_loss: 2.6532
Epoch 00005: val_loss did not improve from 2.51003
Epoch 6/100
95/95 - 50s - loss: 1.9989 - val_loss: 2.7176
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.51003
Epoch 7/100
95/95 - 53s - loss: 1.9233 - val_loss: 2.7333
Epoch 00007: val_loss did not improve from 2.51003
BLEU=0.725
Model: vgg19
Epoch 1/100
95/95 - 55s - loss: 2.7989 - val_loss: 2.5377
Epoch 00001: val_loss improved from inf to 2.53768, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 53s - loss: 2.4635 - val_loss: 2.4939
Epoch 00002: val_loss improved from 2.53768 to 2.49387, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 54s - loss: 2.3295 - val_loss: 2.5333
Epoch 00003: val_loss did not improve from 2.49387
Epoch 4/100
95/95 - 53s - loss: 2.2316 - val_loss: 2.6109
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.49387
Epoch 5/100
95/95 - 53s - loss: 2.0760 - val_loss: 2.5880
Epoch 00005: val_loss did not improve from 2.49387
Epoch 6/100
95/95 - 52s - loss: 2.0290 - val_loss: 2.6583
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.49387
Epoch 7/100
95/95 - 53s - loss: 1.9438 - val_loss: 2.6687
Epoch 00007: val_loss did not improve from 2.49387
BLEU=0.707
Topic: 35
Model: vgg16
Epoch 1/100
95/95 - 55s - loss: 3.0069 - val_loss: 2.7327
Epoch 00001: val_loss improved from inf to 2.73274, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 51s - loss: 2.6334 - val_loss: 2.7139
Epoch 00002: val_loss improved from 2.73274 to 2.71395, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 2.4898 - val_loss: 2.7575
Epoch 00003: val_loss did not improve from 2.71395
Epoch 4/100
95/95 - 50s - loss: 2.3818 - val_loss: 2.8797
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.71395
Epoch 5/100
95/95 - 52s - loss: 2.2240 - val_loss: 2.8857
Epoch 00005: val_loss did not improve from 2.71395
Epoch 6/100
95/95 - 54s - loss: 2.1547 - val_loss: 2.9252
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.71395
Epoch 7/100
95/95 - 52s - loss: 2.0748 - val_loss: 2.9674
Epoch 00007: val_loss did not improve from 2.71395
BLEU=0.729
Model: vgg19
Epoch 1/100
95/95 - 53s - loss: 3.0077 - val_loss: 2.7133
Epoch 00001: val_loss improved from inf to 2.71335, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 53s - loss: 2.6268 - val_loss: 2.6856
Epoch 00002: val_loss improved from 2.71335 to 2.68561, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 2.4772 - val_loss: 2.7427
Epoch 00003: val_loss did not improve from 2.68561
Epoch 4/100
95/95 - 51s - loss: 2.3774 - val_loss: 2.8414
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.68561
Epoch 5/100
95/95 - 53s - loss: 2.2041 - val_loss: 2.8744
Epoch 00005: val_loss did not improve from 2.68561
Epoch 6/100
95/95 - 54s - loss: 2.1479 - val_loss: 2.9276
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.68561
Epoch 7/100
95/95 - 54s - loss: 2.0643 - val_loss: 2.9519
Epoch 00007: val_loss did not improve from 2.68561
BLEU=0.724
Topic: 40
Model: vgg16
Epoch 1/100
95/95 - 54s - loss: 3.0911 - val_loss: 2.7345
Epoch 00001: val_loss improved from inf to 2.73450, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 51s - loss: 2.7077 - val_loss: 2.7093
Epoch 00002: val_loss improved from 2.73450 to 2.70925, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 2.5536 - val_loss: 2.7468
Epoch 00003: val_loss did not improve from 2.70925
Epoch 4/100
95/95 - 50s - loss: 2.4300 - val_loss: 2.8493
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.70925
Epoch 5/100
95/95 - 53s - loss: 2.2539 - val_loss: 2.8683
Epoch 00005: val_loss did not improve from 2.70925
Epoch 6/100
95/95 - 52s - loss: 2.1886 - val_loss: 2.9498
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.70925
Epoch 7/100
95/95 - 50s - loss: 2.1044 - val_loss: 2.9390
Epoch 00007: val_loss did not improve from 2.70925
BLEU=0.744
Model: vgg19
Epoch 1/100
95/95 - 55s - loss: 3.0838 - val_loss: 2.7251
Epoch 00001: val_loss improved from inf to 2.72511, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 50s - loss: 2.7180 - val_loss: 2.6908
Epoch 00002: val_loss improved from 2.72511 to 2.69079, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 2.5516 - val_loss: 2.7354
Epoch 00003: val_loss did not improve from 2.69079
Epoch 4/100
95/95 - 55s - loss: 2.4345 - val_loss: 2.7966
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.69079
Epoch 5/100
95/95 - 54s - loss: 2.2705 - val_loss: 2.8418
Epoch 00005: val_loss did not improve from 2.69079
Epoch 6/100
95/95 - 53s - loss: 2.1997 - val_loss: 2.8899
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.69079
Epoch 7/100
95/95 - 52s - loss: 2.1078 - val_loss: 2.9178
Epoch 00007: val_loss did not improve from 2.69079
BLEU=0.752
Topic: 45
Model: vgg16
Epoch 1/100
95/95 - 56s - loss: 3.2455 - val_loss: 2.8882
Epoch 00001: val_loss improved from inf to 2.88824, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 50s - loss: 2.8482 - val_loss: 2.8534
Epoch 00002: val_loss improved from 2.88824 to 2.85343, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 2.6808 - val_loss: 2.9041
Epoch 00003: val_loss did not improve from 2.85343
Epoch 4/100
95/95 - 54s - loss: 2.5506 - val_loss: 2.9894
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.85343
Epoch 5/100
95/95 - 53s - loss: 2.3706 - val_loss: 3.0000
Epoch 00005: val_loss did not improve from 2.85343
Epoch 6/100
95/95 - 52s - loss: 2.2991 - val_loss: 3.0628
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.85343
Epoch 7/100
95/95 - 54s - loss: 2.2083 - val_loss: 3.0810
Epoch 00007: val_loss did not improve from 2.85343
BLEU=0.719
Model: vgg19
Epoch 1/100
95/95 - 56s - loss: 3.2495 - val_loss: 2.9031
Epoch 00001: val_loss improved from inf to 2.90312, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 54s - loss: 2.8548 - val_loss: 2.8656
Epoch 00002: val_loss improved from 2.90312 to 2.86556, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 2.6834 - val_loss: 2.8732
Epoch 00003: val_loss did not improve from 2.86556
Epoch 4/100
95/95 - 52s - loss: 2.5814 - val_loss: 2.9541
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.86556
Epoch 5/100
95/95 - 51s - loss: 2.3892 - val_loss: 2.9738
Epoch 00005: val_loss did not improve from 2.86556
Epoch 6/100
95/95 - 53s - loss: 2.3247 - val_loss: 3.0301
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.86556
Epoch 7/100
95/95 - 54s - loss: 2.2221 - val_loss: 3.0471
Epoch 00007: val_loss did not improve from 2.86556
BLEU=0.716
Topic: 50
Model: vgg16
Epoch 1/100
95/95 - 55s - loss: 3.2713 - val_loss: 2.8754
Epoch 00001: val_loss improved from inf to 2.87538, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 53s - loss: 2.8676 - val_loss: 2.8310
Epoch 00002: val_loss improved from 2.87538 to 2.83104, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 51s - loss: 2.7023 - val_loss: 2.8749
Epoch 00003: val_loss did not improve from 2.83104
Epoch 4/100
95/95 - 52s - loss: 2.5725 - val_loss: 2.9235
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.83104
Epoch 5/100
95/95 - 49s - loss: 2.3884 - val_loss: 2.9460
Epoch 00005: val_loss did not improve from 2.83104
Epoch 6/100
95/95 - 51s - loss: 2.3160 - val_loss: 2.9867
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.83104
Epoch 7/100
95/95 - 52s - loss: 2.2205 - val_loss: 3.0122
Epoch 00007: val_loss did not improve from 2.83104
BLEU=0.707
Model: vgg19
Epoch 1/100
95/95 - 55s - loss: 3.2651 - val_loss: 2.8622
Epoch 00001: val_loss improved from inf to 2.86224, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 51s - loss: 2.8711 - val_loss: 2.8483
Epoch 00002: val_loss improved from 2.86224 to 2.84827, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 2.7092 - val_loss: 2.8510
Epoch 00003: val_loss did not improve from 2.84827
Epoch 4/100
95/95 - 53s - loss: 2.5764 - val_loss: 2.8931
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.84827
Epoch 5/100
95/95 - 54s - loss: 2.3919 - val_loss: 2.9163
Epoch 00005: val_loss did not improve from 2.84827
Epoch 6/100
95/95 - 53s - loss: 2.3274 - val_loss: 2.9734
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.84827
Epoch 7/100
95/95 - 52s - loss: 2.2371 - val_loss: 2.9802
Epoch 00007: val_loss did not improve from 2.84827
BLEU=0.694
Topic: 55
Model: vgg16
Epoch 1/100
95/95 - 54s - loss: 3.4441 - val_loss: 3.0572
Epoch 00001: val_loss improved from inf to 3.05720, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 52s - loss: 3.0133 - val_loss: 3.0082
Epoch 00002: val_loss improved from 3.05720 to 3.00823, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 50s - loss: 2.8368 - val_loss: 3.0694
Epoch 00003: val_loss did not improve from 3.00823
Epoch 4/100
95/95 - 52s - loss: 2.6959 - val_loss: 3.1128
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 3.00823
Epoch 5/100
95/95 - 52s - loss: 2.4958 - val_loss: 3.1556
Epoch 00005: val_loss did not improve from 3.00823
Epoch 6/100
95/95 - 51s - loss: 2.4340 - val_loss: 3.2040
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 3.00823
Epoch 7/100
95/95 - 53s - loss: 2.3321 - val_loss: 3.2449
Epoch 00007: val_loss did not improve from 3.00823
BLEU=0.703
Model: vgg19
Epoch 1/100
95/95 - 55s - loss: 3.4407 - val_loss: 3.0906
Epoch 00001: val_loss improved from inf to 3.09064, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 53s - loss: 3.0107 - val_loss: 3.0113
Epoch 00002: val_loss improved from 3.09064 to 3.01128, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 51s - loss: 2.8370 - val_loss: 3.0303
Epoch 00003: val_loss did not improve from 3.01128
Epoch 4/100
95/95 - 52s - loss: 2.7030 - val_loss: 3.1057
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 3.01128
Epoch 5/100
95/95 - 51s - loss: 2.5079 - val_loss: 3.1396
Epoch 00005: val_loss did not improve from 3.01128
Epoch 6/100
95/95 - 52s - loss: 2.4394 - val_loss: 3.2120
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 3.01128
Epoch 7/100
95/95 - 52s - loss: 2.3471 - val_loss: 3.2165
Epoch 00007: val_loss did not improve from 3.01128
BLEU=0.698
Topic: 60
Model: vgg16
Epoch 1/100
95/95 - 54s - loss: 3.4851 - val_loss: 3.0639
Epoch 00001: val_loss improved from inf to 3.06394, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 52s - loss: 3.0505 - val_loss: 3.0143
Epoch 00002: val_loss improved from 3.06394 to 3.01434, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 52s - loss: 2.8637 - val_loss: 3.0417
Epoch 00003: val_loss did not improve from 3.01434
Epoch 4/100
95/95 - 54s - loss: 2.7176 - val_loss: 3.1302
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 3.01434
Epoch 5/100
95/95 - 53s - loss: 2.5228 - val_loss: 3.1671
Epoch 00005: val_loss did not improve from 3.01434
Epoch 6/100
95/95 - 50s - loss: 2.4350 - val_loss: 3.2268
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 3.01434
Epoch 7/100
95/95 - 51s - loss: 2.3253 - val_loss: 3.2431
Epoch 00007: val_loss did not improve from 3.01434
/opt/conda/lib/python3.7/site-packages/ipykernel_launcher.py:71: RuntimeWarning: More than 20 figures have been opened. Figures created through the pyplot interface (`matplotlib.pyplot.figure`) are retained until explicitly closed and may consume too much memory. (To control this warning, see the rcParam `figure.max_open_warning`).
BLEU=0.702
Model: vgg19
Epoch 1/100
95/95 - 56s - loss: 3.4794 - val_loss: 3.0527
Epoch 00001: val_loss improved from inf to 3.05273, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 52s - loss: 3.0462 - val_loss: 2.9921
Epoch 00002: val_loss improved from 3.05273 to 2.99207, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 55s - loss: 2.8671 - val_loss: 3.0357
Epoch 00003: val_loss did not improve from 2.99207
Epoch 4/100
95/95 - 53s - loss: 2.7115 - val_loss: 3.1188
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 2.99207
Epoch 5/100
95/95 - 54s - loss: 2.5169 - val_loss: 3.1479
Epoch 00005: val_loss did not improve from 2.99207
Epoch 6/100
95/95 - 51s - loss: 2.4489 - val_loss: 3.2141
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 2.99207
Epoch 7/100
95/95 - 53s - loss: 2.3377 - val_loss: 3.2218
Epoch 00007: val_loss did not improve from 2.99207
BLEU=0.697
Topic: 65
Model: vgg16
Epoch 1/100
95/95 - 55s - loss: 3.4852 - val_loss: 3.0974
Epoch 00001: val_loss improved from inf to 3.09735, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 52s - loss: 3.0415 - val_loss: 3.0541
Epoch 00002: val_loss improved from 3.09735 to 3.05415, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 2.8761 - val_loss: 3.0998
Epoch 00003: val_loss did not improve from 3.05415
Epoch 4/100
95/95 - 50s - loss: 2.7219 - val_loss: 3.1859
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 3.05415
Epoch 5/100
95/95 - 51s - loss: 2.5385 - val_loss: 3.2005
Epoch 00005: val_loss did not improve from 3.05415
Epoch 6/100
95/95 - 53s - loss: 2.4677 - val_loss: 3.2642
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 3.05415
Epoch 7/100
95/95 - 53s - loss: 2.3617 - val_loss: 3.2820
Epoch 00007: val_loss did not improve from 3.05415
BLEU=0.698
Model: vgg19
Epoch 1/100
95/95 - 53s - loss: 3.4888 - val_loss: 3.1067
Epoch 00001: val_loss improved from inf to 3.10669, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 52s - loss: 3.0393 - val_loss: 3.0383
Epoch 00002: val_loss improved from 3.10669 to 3.03828, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 2.8548 - val_loss: 3.0611
Epoch 00003: val_loss did not improve from 3.03828
Epoch 4/100
95/95 - 54s - loss: 2.4675 - val_loss: 3.2113
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 3.03828
Epoch 7/100
95/95 - 52s - loss: 2.3524 - val_loss: 3.2355
Epoch 00007: val_loss did not improve from 3.03828
BLEU=0.693
Topic: 70
Model: vgg16
Epoch 1/100
95/95 - 52s - loss: 3.6515 - val_loss: 3.2782
Epoch 00001: val_loss improved from inf to 3.27819, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 53s - loss: 3.2001 - val_loss: 3.2289
Epoch 00002: val_loss improved from 3.27819 to 3.22889, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 54s - loss: 3.0069 - val_loss: 3.2464
Epoch 00003: val_loss did not improve from 3.22889
Epoch 4/100
95/95 - 50s - loss: 2.8306 - val_loss: 3.3268
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 3.22889
Epoch 5/100
95/95 - 52s - loss: 2.6222 - val_loss: 3.3701
Epoch 00005: val_loss did not improve from 3.22889
Epoch 6/100
95/95 - 52s - loss: 2.5343 - val_loss: 3.4230
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 3.22889
Epoch 7/100
95/95 - 53s - loss: 2.4327 - val_loss: 3.4539
Epoch 00007: val_loss did not improve from 3.22889
BLEU=0.673
Model: vgg19
Epoch 1/100
95/95 - 54s - loss: 3.6650 - val_loss: 3.2982
Epoch 00001: val_loss improved from inf to 3.29821, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 54s - loss: 3.1964 - val_loss: 3.2158
Epoch 00002: val_loss improved from 3.29821 to 3.21577, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 55s - loss: 2.9999 - val_loss: 3.2332
Epoch 00003: val_loss did not improve from 3.21577
Epoch 4/100
95/95 - 55s - loss: 2.8440 - val_loss: 3.2960
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 3.21577
Epoch 5/100
95/95 - 54s - loss: 2.6366 - val_loss: 3.3095
Epoch 00005: val_loss did not improve from 3.21577
Epoch 6/100
95/95 - 53s - loss: 2.5551 - val_loss: 3.3662
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 3.21577
Epoch 7/100
95/95 - 51s - loss: 2.4478 - val_loss: 3.3909
Epoch 00007: val_loss did not improve from 3.21577
BLEU=0.669
Topic: 75
Model: vgg16
Epoch 1/100
95/95 - 55s - loss: 3.6873 - val_loss: 3.2935
Epoch 00001: val_loss improved from inf to 3.29353, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 51s - loss: 3.1914 - val_loss: 3.2120
Epoch 00002: val_loss improved from 3.29353 to 3.21198, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 52s - loss: 3.0109 - val_loss: 3.2377
Epoch 00003: val_loss did not improve from 3.21198
Epoch 4/100
95/95 - 53s - loss: 2.8594 - val_loss: 3.2773
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 3.21198
Epoch 5/100
95/95 - 52s - loss: 2.6469 - val_loss: 3.3354
Epoch 00005: val_loss did not improve from 3.21198
Epoch 6/100
95/95 - 52s - loss: 2.5729 - val_loss: 3.3718
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 3.21198
Epoch 7/100
95/95 - 52s - loss: 2.4525 - val_loss: 3.4078
Epoch 00007: val_loss did not improve from 3.21198
BLEU=0.660
Model: vgg19
Epoch 1/100
95/95 - 55s - loss: 3.6762 - val_loss: 3.2842
Epoch 00001: val_loss improved from inf to 3.28418, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 53s - loss: 3.2022 - val_loss: 3.2198
Epoch 00002: val_loss improved from 3.28418 to 3.21975, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 52s - loss: 3.0179 - val_loss: 3.2084
Epoch 00003: val_loss improved from 3.21975 to 3.20844, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 4/100
95/95 - 53s - loss: 2.8625 - val_loss: 3.2642
Epoch 00004: val_loss did not improve from 3.20844
Epoch 5/100
95/95 - 52s - loss: 2.7420 - val_loss: 3.3696
Epoch 00005: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00005: val_loss did not improve from 3.20844
Epoch 6/100
95/95 - 52s - loss: 2.5561 - val_loss: 3.3814
Epoch 00006: val_loss did not improve from 3.20844
Epoch 7/100
95/95 - 52s - loss: 2.4846 - val_loss: 3.4358
Epoch 00007: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00007: val_loss did not improve from 3.20844
Epoch 8/100
95/95 - 51s - loss: 2.3836 - val_loss: 3.4557
Epoch 00008: val_loss did not improve from 3.20844
BLEU=0.663
Topic: 80
Model: vgg16
Epoch 1/100
95/95 - 54s - loss: 3.6537 - val_loss: 3.3002
Epoch 00001: val_loss improved from inf to 3.30023, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 52s - loss: 3.2074 - val_loss: 3.2400
Epoch 00002: val_loss improved from 3.30023 to 3.23997, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 53s - loss: 3.0097 - val_loss: 3.2912
Epoch 00003: val_loss did not improve from 3.23997
Epoch 4/100
95/95 - 53s - loss: 2.8560 - val_loss: 3.3801
Epoch 00004: ReduceLROnPlateau reducing learning rate to 0.0005000000237487257.
Epoch 00004: val_loss did not improve from 3.23997
Epoch 5/100
95/95 - 53s - loss: 2.6392 - val_loss: 3.3927
Epoch 00005: val_loss did not improve from 3.23997
Epoch 6/100
95/95 - 52s - loss: 2.5545 - val_loss: 3.4730
Epoch 00006: ReduceLROnPlateau reducing learning rate to 0.0002500000118743628.
Epoch 00006: val_loss did not improve from 3.23997
Epoch 7/100
95/95 - 50s - loss: 2.4442 - val_loss: 3.4968
Epoch 00007: val_loss did not improve from 3.23997
BLEU=0.656
Model: vgg19
Epoch 1/100
95/95 - 56s - loss: 3.6554 - val_loss: 3.3075
Epoch 00001: val_loss improved from inf to 3.30749, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 2/100
95/95 - 51s - loss: 3.2084 - val_loss: 3.2305
Epoch 00002: val_loss improved from 3.30749 to 3.23051, saving model to /kaggle/working/topic_predictor_model.hdf5
Epoch 3/100
95/95 - 54s - loss: 3.0097 - val_loss: 3.2727
Epoch 00003: val_loss did not improve from 3.23051
Epoch 4/100