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首先感谢这个非常好的project,对迁移学习和领域适应做了相当完善的汇总。
我下载了其中DaNN(Domain Adaptive Neural Network)的代码,本地跑了一下,环境一致,只把data的rootpath改变,最终效果只有27%,请问你复现的时候设置什么超参数吗?
The text was updated successfully, but these errors were encountered:
我跑出来就跟文章中的精度差不多,参数就是这上面的。你把900次都跑完了吗?
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我感觉是不是pytorch多卡训练?我这边机器是8张卡,你那边显卡数不同的话,batchsize是不是调整下?
有可能吧。。。我跑的时候只有一个k80.这是玄学。。。
那就有可能了,我把超参数调一下,应该可以出来效果的:)
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首先感谢这个非常好的project,对迁移学习和领域适应做了相当完善的汇总。
我下载了其中DaNN(Domain Adaptive Neural Network)的代码,本地跑了一下,环境一致,只把data的rootpath改变,最终效果只有27%,请问你复现的时候设置什么超参数吗?
The text was updated successfully, but these errors were encountered: