未能拟合 CNN 模型

Question

我有这列火车，测试形状：

我的模型是：

model = Sequential()
#add model layers
model.add(Conv1D(64, kernel_size=3, activation='relu', input_shape=(X_train.shape[1],1)))  # X_train.shape[1] = No. of Columns
model.add(Conv1D(32, kernel_size=3, activation='relu'))
model.add(Flatten())
model.add(Dense(10, activation='softmax'))

#compile model using accuracy to measure model performance
model.compile(optimizer='adam', loss='categorical_crossentropy', metrics=['accuracy'])

然后我尝试：

#train the model
model.fit(X_train, y_train, validation_data=(X_test, y_test), epochs=3)

我收到此错误：

ValueError: Error when checking input: expected conv1d_7_input to have 3 dimensions, but got array with shape (25000, 500)

拜托了，我在这个问题上困扰了好几个小时，无法解决。有人可以帮助我吗？