ValueError:使用序列设置数组元素。关于Keras model.fit

import numpy as np
from keras.models import Sequential
from keras.layers import Dense

# 创建模型
model = Sequential()
model.add(Dense(10, input_dim=5, activation='relu'))
model.add(Dense(1, activation='sigmoid'))

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

# 创建训练数据和标签数据
train_data = [[1, 2, 3, 4, 5], [6, 7, 8, 9, 10]]
train_labels = [0, 1]

# 将训练数据和标签数据转换为数组对象
train_data = np.array(train_data)
train_labels = np.array(train_labels)

# 训练模型
model.fit(train_data, train_labels, epochs=10, batch_size=1)