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每个baseline中,每个数据集的参数都存在.py文件中,比如METR-LA.py文件中记录着这个数据集上使用的超参数,而这个文件又是直接投入到easy torch 的easytorch.launch_training中。如何在训练的时候寻找最优超参数呢?我把我自己设计的模型放入到了这个框架中,每次调参我都是手动修改.py文件中的参数,这样就效率非常低。请问有什么办法呢?
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每个baseline中,每个数据集的参数都存在.py文件中,比如METR-LA.py文件中记录着这个数据集上使用的超参数,而这个文件又是直接投入到easy torch 的easytorch.launch_training中。如何在训练的时候寻找最优超参数呢?我把我自己设计的模型放入到了这个框架中,每次调参我都是手动修改.py文件中的参数,这样就效率非常低。请问有什么办法呢?
The text was updated successfully, but these errors were encountered: