Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Results on different slices #6

Open
Shrimp-99 opened this issue Mar 28, 2023 · 3 comments
Open

Results on different slices #6

Shrimp-99 opened this issue Mar 28, 2023 · 3 comments

Comments

@Shrimp-99
Copy link

Shrimp-99 commented Mar 28, 2023

I run the purchase data and set shard=1, slice=1 and epoch=1, the output model is trained on 0.25 million data for 1 epoch and the accuracy is around 0.955.
Then I set shard=1, slice=16, and epoch=1. The train always take places on the 8th slice and epoch for it is 1 while for other slices is 0, according to the 'avg_epochs_per_slice' and 'slice_epochs' calculated. But the output model still uses 0.14 million data and the accuracy is around 0.945.
I didn't see significant difference between them as Fig5 in paper shows.
Is there any mistake using the above settings?

@cnhbww
Copy link

cnhbww commented Apr 17, 2024

I run the purchase data and set shard=1, slice=1 and epoch=1, the output model is trained on 0.25 million data for 1 epoch and the accuracy is around 0.955. Then I set shard=1, slice=16, and epoch=1. The train always take places on the 8th slice and epoch for it is 1 while for other slices is 0, according to the 'avg_epochs_per_slice' and 'slice_epochs' calculated. But the output model still uses 0.14 million data and the accuracy is around 0.945. I didn't see significant difference between them as Fig5 in paper shows. Is there any mistake using the above settings?

Hello, I am a newbie who has just entered this field. I tried to directly clone the author's project for experiments, but encountered many problems. Can you share your experimental project with me? Thank you very much if you can.

@Sushant-kumar-pal
Copy link

I run the purchase data and set shard=1, slice=1 and epoch=1, the output model is trained on 0.25 million data for 1 epoch and the accuracy is around 0.955. Then I set shard=1, slice=16, and epoch=1. The train always take places on the 8th slice and epoch for it is 1 while for other slices is 0, according to the 'avg_epochs_per_slice' and 'slice_epochs' calculated. But the output model still uses 0.14 million data and the accuracy is around 0.945. I didn't see significant difference between them as Fig5 in paper shows. Is there any mistake using the above settings?

Hello, I am a newbie who has just entered this field. I tried to directly clone the author's project for experiments, but encountered many problems. Can you share your experimental project with me? Thank you very much if you can.

do u got the experimental results?Can you share with me please

@cnhbww
Copy link

cnhbww commented Jun 22, 2024

我运行购买数据并设置 shard=1、slice=1 和 epoch=1,输出模型在 1 个 epoch 的 25 万条数据上训练,准确率约为 0.955。然后我设置 shard=1、slice=16 和 epoch=1。根据计算的“avg_epochs_per_slice”和“slice_epochs”,火车总是发生在第 8 个切片和纪元上,它的纪元为 1,而其他切片的纪元为 0。但输出模型仍然使用 0.14 万个数据,准确率约为 0.945。我没有看到它们之间的显着差异,如论文中的图 5 所示。使用上述设置有什么错误吗?

您好,我是刚进入这个领域的新手。我尝试直接克隆作者的项目进行实验,但遇到了很多问题。你能和我分享你的实验项目吗?如果可以的话,非常感谢你。

你有实验结果吗?你能和我分享吗

no, I didn't even get through the code,Can you give me some advice or help? pls,I will also share my progress with you later

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

3 participants