from keras.callbacks import EarlyStopping

model = Sequential([
    Dense(32, activation='sigmoid'),
    Dense(32, activation='sigmoid'),
    Dense(1, activation='sigmoid')
])

model.compile(optimizer='adam', loss='binary_crossentropy', metrics=['acc'])
 
results = model.fit(X_train, y_train, batch_size=32, epochs=100, validation_data=(X_test,y_test),callbacks=[EarlyStopping()])