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Cleanup

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Remove the metric because it wasn't too useful and it's buggy in
Keras 2.2.4.
This commit is contained in:
Jean-Marc Valin 2019-01-09 16:52:26 -05:00
parent a06e9a96ad
commit d181139930
1 changed files with 3 additions and 3 deletions
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6
dnn/train_lpcnet.py
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@ -97,8 +97,8 @@ del sig
del pred
# dump models to disk as we go
checkpoint = ModelCheckpoint('lpcnet18_384_10_G16_{epoch:02d}.h5')
checkpoint = ModelCheckpoint('lpcnet20_384_10_G16_{epoch:02d}.h5')
model.load_weights('lpcnet9b_384_10_G16_01.h5')
model.compile(optimizer=Adam(0.001, amsgrad=True, decay=5e-5), loss='sparse_categorical_crossentropy', metrics=['sparse_categorical_accuracy'])
#model.load_weights('lpcnet9b_384_10_G16_01.h5')
model.compile(optimizer=Adam(0.001, amsgrad=True, decay=5e-5), loss='sparse_categorical_crossentropy')
model.fit([in_data, in_exc, features, periods], out_exc, batch_size=batch_size, epochs=nb_epochs, validation_split=0.0, callbacks=[checkpoint, lpcnet.Sparsify(2000, 40000, 400, (0.05, 0.05, 0.2))])