HelloWorld4747

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Hello, I am trying to reproduce this paper, but I can not access these two links: REFERIT_SPLITS_URL="https://s3-sa-east-1.amazonaws.com/query-objseg/referit_splits.tar.bz2" REFERIT_DATA_URL="http://www.eecs.berkeley.edu/~ronghang/projects/cvpr16_text_obj_retrieval/referitdata.tar.gz" Could you please sent me the dataset? My mail address is [email protected]....

> > > > 你好,我不是原作者,我正在复现这篇工作。 > > > > 根据论文所报告的参数,bz大小为128,四个数据集合在一起总的数据量除以bz应该是105,那么CKPT=105的来源。到sh脚本里给出的默认参数加重累加步长是32,他们的实验应该在4张GPU上运行,我认为你需要检查一下你实验中的设置有没有跟他对齐 > > > > > > > > > 确实,他们的实验是在4张GPU上运行的,我是在一张GPU上运行的。 > > > 我还有问题是是否需要将所有的数据集和ckpt获取数据梯度,我看他的第二步只是使用了一个数据集和一个ckpt进行数据梯度的获取,第三步计算影响力分数时使用确实是所有的数据集和ckpt(如图1和图2),我个人觉得应该是对所有的数据集和ckpt进行计算吧? > > > 我目前实现了只对最后一个ckpt进行了实验(因为ckpt=1688),使用了1个和4个数据集分别进行了实验,但是得到的结果却是使用1个数据集的效果明显好于使用4个数据集。(模型是llama2-7b).图3是我运行步骤二得到的数据。![1](https://private-user-images.githubusercontent.com/153067434/378302515-d7b864ee-5e35-40af-9f62-cab322ef2fd5.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3Mjk1NjY2OTcsIm5iZiI6MTcyOTU2NjM5NywicGF0aCI6Ii8xNTMwNjc0MzQvMzc4MzAyNTE1LWQ3Yjg2NGVlLTVlMzUtNDBhZi05ZjYyLWNhYjMyMmVmMmZkNS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQxMDIyJTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MTAyMlQwMzA2MzdaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT02MDliNzViNzcyOGRlMjY4YWFjNjVjZTNmOTQwMGYxNzAwYzEyNDdjYjZiOWY5YjU3YmNjZjdjNzMyZGQ5OGI3JlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.WBSqToMqufhUGIp5o4mT0AikYzLztkQPHRWdXykj_Q4)图1![2](https://private-user-images.githubusercontent.com/153067434/378302920-b907b4c4-8212-4639-b220-09fd78018c18.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3Mjk1NjY2OTcsIm5iZiI6MTcyOTU2NjM5NywicGF0aCI6Ii8xNTMwNjc0MzQvMzc4MzAyOTIwLWI5MDdiNGM0LTgyMTItNDYzOS1iMjIwLTA5ZmQ3ODAxOGMxOC5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQxMDIyJTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MTAyMlQwMzA2MzdaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT1kNmNjYWZlZmM4YjU0YjVmYzQ0NjVkZDU5NDIzNmYyOWQ1ODFhZWFmZTliYjZhNWQ0ZGNlZmY0OGZlZDQxY2UxJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.HfWH45PLi1M9KABcCX3nujX0p8xSpmDP3DEwKRjsJAc)图2![5](https://private-user-images.githubusercontent.com/153067434/378306148-e9c003bc-ad8d-4ca2-bb6f-c34abb6664ce.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3Mjk1NjY2OTcsIm5iZiI6MTcyOTU2NjM5NywicGF0aCI6Ii8xNTMwNjc0MzQvMzc4MzA2MTQ4LWU5YzAwM2JjLWFkOGQtNGNhMi1iYjZmLWMzNGFiYjY2NjRjZS5wbmc_WC1BbXotQWxnb3JpdGhtPUFXUzQtSE1BQy1TSEEyNTYmWC1BbXotQ3JlZGVudGlhbD1BS0lBVkNPRFlMU0E1M1BRSzRaQSUyRjIwMjQxMDIyJTJGdXMtZWFzdC0xJTJGczMlMkZhd3M0X3JlcXVlc3QmWC1BbXotRGF0ZT0yMDI0MTAyMlQwMzA2MzdaJlgtQW16LUV4cGlyZXM9MzAwJlgtQW16LVNpZ25hdHVyZT04YTQ0MDkyM2M0YzAyNzM1Y2RjMGQ2M2NiNGI4NGMxYzgyZjM3MDMwY2YzZWQ2ZjUyZWFmZTkxOGMyMTQ4YzYxJlgtQW16LVNpZ25lZEhlYWRlcnM9aG9zdCJ9.ih3uvb_oXk9y5pQTllk3Vum4YDwJAyQrGxi5rMrOq-s)图3 > >...

> If I use pip install vllm directly, there seems to be version incompatibility issues. > > Thanks! Hello, Have you figured out the vllm version issue? Thanks!

> > > If I use pip install vllm directly, there seems to be version incompatibility issues. > > > Thanks! > > > > > > Hello, > >...