Keras验证进度输出错误地显示了培训步骤

# 导入必要的库
from keras.models import Sequential
from keras.layers import Dense

# 创建模型
model = Sequential()
model.add(Dense(64, activation='relu', input_dim=100))
model.add(Dense(64, activation='relu'))
model.add(Dense(10, activation='softmax'))

# 编译模型
model.compile(optimizer='rmsprop',
              loss='categorical_crossentropy',
              metrics=['accuracy'])

# 模型训练
model.fit(x_train, y_train,
          epochs=10,
          batch_size=32,
          validation_data=(x_val, y_val),
          validation_steps=len(x_val) // 32)  # 设置validation_steps参数