simon@sasha:~/nn/fnc-1-baseline$ python runNets.py
Using TensorFlow backend.
['x_val', 'x_train', 'embedding_matrix', 'word_index', 'y_val', 'y_train']
Training model.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
_________________________________________________________________
Layer (type)                 Output Shape              Param #
=================================================================
embedding_2 (Embedding)      (None, 4894, 300)         8362200
_________________________________________________________________
dense_1 (Dense)              (None, 4894, 4)           1204
=================================================================
Total params: 8,363,404
Trainable params: 1,204
Non-trainable params: 8,362,200
_________________________________________________________________
None
Traceback (most recent call last):
  File "runNets.py", line 95, in <module>
    model.fit(x_train, y_train, epochs=3, batch_size=64)
  File "/usr/local/lib/python2.7/dist-packages/keras/models.py", line 853, in fit
    initial_epoch=initial_epoch)
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1406, in fit
    batch_size=batch_size)
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 1300, in _standardize_user_data
    exception_prefix='model target')
  File "/usr/local/lib/python2.7/dist-packages/keras/engine/training.py", line 121, in _standardize_input_data
    str(array.shape))
ValueError: Error when checking model target: expected dense_1 to have 3 dimensions, but got array with shape (44975, 4)