Tensorflow 为什么我得到了太多的损失和准确性00,我想预测多输出4行作为输入和6行作为输出,我有一个45列的数据集

Tensorflow 为什么我得到了太多的损失和准确性00,我想预测多输出4行作为输入和6行作为输出,我有一个45列的数据集,tensorflow,keras,deep-learning,functional-api,Tensorflow,Keras,Deep Learning,Functional Api,2/2[======================================================]3.5779-GGGU损失:1.2579-GGGGU损失:1.2566-GGU损失:1.2566-GGU损失:1.2566-GU损失:1.256-HU损失:3.3584-IU损失:3.3584-i U损失:i-U损失:i.3.3584-i-U损失:i-i-U损失:::::::::,i.358.3584-i-i-U损失:i-U损失::::::::::::,i-i-i-i-i-i-U

2/2[======================================================]3.5779-GGGU损失:1.2579-GGGGU损失:1.2566-GGU损失:1.2566-GGU损失:1.2566-GU损失:1.256-HU损失:3.3584-IU损失:3.3584-i U损失:i-U损失:i.3.3584-i-U损失:i-i-U损失:::::::::,i.358.3584-i-i-U损失:i-U损失::::::::::::,i-i-i-i-i-i-U损失::::::::::::::::::::::::::::::::::::,i-i.3.3.3.3.358.3.358.358.3584,i,i,i,i,i,i,i,i,i,i损失:0.4696-瓦力损失:-403.2577-瓦力损失:-7490.7646-瓦力损失:-47.1259-瓦力损失:0.0000e+00-瓦力损失:0.0000e+00-瓦力损失:0.0000e+00-瓦力损失:0.0000e+00-瓦力损失:0.0000e+00-瓦力损失:0.0000e+00-瓦力损失:0.0000e+00-瓦力损失:0.0000e+00