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This is a great work. However, when I try to reproduce results on the ImageNet dataset, there is a 1% accuracy gap between mine and that in your paper.
Would you mind providing the hyper-parameters…
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Hi, Haolin. Could you please provide me with the training parameters or more training details? I trained the 3DGS model as baseline and achieved an average PSNR of 14.69. When I trained your origina…
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### System Info
```Shell
Name: accelerate
Version: 0.33.0.dev0
Summary: Accelerate
Home-page: https://github.com/huggingface/accelerate
Author: The HuggingFace team
Author-email: zach.mueller@hu…
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Selected Classification Algorithms:
- [x] KNN
- [x] Decision Tree
- [x] Random Forest
- [x] XGBoost
- [x] MLP
- [x] LightGBM
Selected Regression Algorithms:
- [x] KNN
- [x] Decision Tree
-…
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Dear authors, I am reimplementing SGC on the ogbn-arxiv dataset, but I cannot find the expected test accuracy of SGC on the dataset except for your paper (68.78±0.02).
Could you please tell me the…
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Hello,
This work is really inspiring, and thanks for sharing the code. Meanwhile, could you please also share the training hyper-parameters (e.g., learning rate, optimizer, warmup lr, warmup epochs…
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hello, I tried the hyperparameters in the code, but could not reproduce the results of the paper. Can you share your training setting please, thank you. =.=
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Very good work!
What I'd like to ask is, What is the setting of hyper-parameters in the low-resource scenario of summarization, such as learning rate and numbers of epoch. I have tried to use prefixt…
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Dear Wei Xiong, I would like to thank you for your research.
Can you upload the code for training your model or hyper-parameters to reproduce the training process?
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Dear Pro:
I read about the Vizwiz Leaderboard for ECCV 2018. The results shown are 55.40 for no model ensemble. But I trained the Vizwiz datasets and the results are only 51.96. So I want to know…