train3.py

epochs = 50
batch_size = 16

history = model.fit(train_images,train_labels,
                    batch_size=batch_size,
                   steps_per_epoch=len(train_images)//batch_size,
                   epochs=epochs,
                   verbose=1, 
                   validation_data=(val_images,val_labels),
                   validation_steps=len(val_images)//batch_size,
                   callbacks=callbacks
                   )