================readme==================
利用迁移学习的**，网络先在一个大的训练 集上训练出一个基模型，然后在目标数据集上 训练的时候，将基模型的参数作为目标任务的 参数的初始值。
**注：由于排序模型和分类模型不同，在目标 数据集上训练的时候，可以将整个网络的参数 restore，而不需要取其中的部分。即大数据 和目标数据集是共享网络的
=================run=====================
#领域模型训练
python train_domain.py --model_version=xxx
#训练好之后选择在验证集上表现最好的模型 #训练目标数据集的时候
python train.py --model_version=xxx
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