validation_data_provider = BatchDataProvider(X=X_valid,
Y=Y_valid,
lengths=lengths_valid)
## BUILD THE MODEL
model = CSM(
layers=[
WordEmbedding(dimension=embedding_dimension,
vocabulary_size=vocabulary_size),
SentenceConvolution(n_feature_maps=n_feature_maps,
kernel_width=kernel_width,
n_channels=1,
n_input_dimensions=embedding_dimension),
SumFolding(),
KMaxPooling(k=pooling_size * 2),
Bias(n_input_dims=embedding_dimension / 2,
n_feature_maps=n_feature_maps),
Tanh(),
# Softmax(
# n_classes=n_classes,
# n_input_dimensions=420),
SentenceConvolution(n_feature_maps=n_feature_maps,
kernel_width=3,
n_channels=n_feature_maps,
n_input_dimensions=embedding_dimension / 2),
KMaxPooling(k=pooling_size),
Bias(n_input_dims=embedding_dimension / 2,
n_feature_maps=n_feature_maps),