Machine learning 拟合过程中val数据的损失和精度与评估过程不相等

拟合过程中val数据的损失和精度与评估过程不相等。 我用了图像发生器。 代码在附件中。incep_v3.py是拟合代码，model_app.py是评估代码

安装日志：

Epoch 00001: saving model to ./training2/cp-01.ckpt
Epoch 2/30
150/150 [==============================] - 368s 2s/step - loss: 0.0675 - accuracy: 0.9787 - val_loss: 0.1083 - val_accuracy: 0.9375

Epoch 00002: saving model to ./training2/cp-02.ckpt
Epoch 3/30
150/150 [==============================] - 382s 3s/step - loss: 0.0506 - accuracy: 0.9808 - val_loss: 0.0429 - val_accuracy: 1.0000

Epoch 00003: saving model to ./training2/cp-03.ckpt
Epoch 4/30
150/150 [==============================] - 335s 2s/step - loss: 0.0433 - accuracy: 0.9833 - val_loss: 0.1925 - val_accuracy: 0.8750

Epoch 00004: saving model to ./training2/cp-04.ckpt
Epoch 5/30
150/150 [==============================] - 337s 2s/step - loss: 0.0573 - accuracy: 0.9792 - val_loss: 0.2156 - val_accuracy: 0.9375

Epoch 00005: saving model to ./training2/cp-05.ckpt
Epoch 6/30
150/150 [==============================] - 336s 2s/step - loss: 0.0383 - accuracy: 0.9867 - val_loss: 0.0069 - val_accuracy: 1.0000

我加载cp-05.ckpt进行评估，评估日志：

---

0.20122399926185608 0.9712499976158142

我的代码文件似乎未上载。如何上载代码文件？要附加文件：