from tensorflow.keras import layers as kl
from tensorflow.keras import models as km
from tensorflow.keras import losses as ks
from tensorflow.keras import optimizers as ko
from tensorflow.keras import callbacks as kc

m = km.Sequential([
    kl.Input(shape = (None, ), dtype = 'int32'),
    kl.Embedding(6000, 96),
    kl.Dropout(0.2),
    kl.Conv1D(128, 5, activation = 'relu'),
    kl.LSTM(128, return_sequences = True),
    kl.LSTM(64),
    kl.Dense(64),
    kl.Dropout(0.5),
    kl.Dense(1, activation = 'sigmoid')
])

m.compile(optimizer = ko.Lion(learning_rate = 0.0005),
          loss = 'binary_crossentropy',
          metrics = ['accuracy'])