there have big gap between train result and validation result?

another one is that using only one volume dataset for train and validation,the loss and accuracy is same,like this:


so it’s strange why there have different size dataset for train and validation,the train and validation is different.

ps:the network is Unet3d,using BN layer,loss is mutil dice.
thank you!!