如何在中止训练时获取Keras历史对象？

history = model.fit(x_train, y_train, epochs=10, validation_data=(x_val, y_val))

# 获取训练过程中的损失值
loss = history.history['loss']

# 获取训练过程中的准确率
accuracy = history.history['accuracy']

# 获取验证集上的损失值
val_loss = history.history['val_loss']

# 获取验证集上的准确率
val_accuracy = history.history['val_accuracy']

import matplotlib.pyplot as plt

# 绘制训练集和验证集上的损失曲线
plt.plot(history.history['loss'])
plt.plot(history.history['val_loss'])
plt.title('Model Loss')
plt.xlabel('Epoch')
plt.ylabel('Loss')
plt.legend(['Train', 'Validation'], loc='upper right')
plt.show()