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save model with best validation loss keras

model = getModel()
model.summary()
earlyStopping = EarlyStopping(monitor='val_loss', patience=1000, verbose=0, mode='min')
model.fit(Xtr_more, Ytr_more, batch_size=32, epochs=50, verbose=0, callbacks=[earlyStopping], validation_split=0.25)
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