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I am trying to replicate your CIFAR-10 results but am only reaching accuracy of 0.55, not 0.64 as in Table 11.
Can you help me figure out what's going on? Thanks!
I have added CIFAR to the code by…
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Hi, I would like to use CIFAR-10 to run the experiment, but there are some errors, could you please answer my questions?
python -m torch.distributed.launch --master_port 50131 --nproc_per_node=1 --us…
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Implement and test a neural network model for classifying the CIFAR-10 dataset.
CIFAR-10 is a popular dataset containing 60,000 color images of 32x32 pixels, divided into 10 classes. Each class repre…
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Hi, thanks for your interesting work.
I am struggling to reproducing the DDIM results. Did you have any experience of it?
Training 3k epochs is enough at your code.
[https://github.com/luping…
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Hi,
Thanks again for your help on previous issues.
Would you please confirm that the following commands are correct for replicating the `CIFAR-100`, `90%` accuracy result of `54.51`:
```
pyt…
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bisected to this https://github.com/tinygrad/tinygrad/actions/runs/9435797854/job/25995095374
this one is fine https://github.com/tinygrad/tinygrad/actions/runs/9435244478/job/25988401090
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Hello,
I was able to run your code successfully,
Now my Aim is
I want to use the OFA loss for custom dataset, so how should I be approaching it,
Should I train the teacher from scratch or shoul…
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Hi!
I've followed the instructions provided in the Readme.md file and executed the original code with the provided .yaml files from your repository. Here are the commands I used:
python main…
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This is an excellent piece of work!I like it.
However, when I ran:
python federated_main.py --mode task_heter --dataset cifar10 --num_classes 10 --num_users 20 --ways 5 --shots 100 --stdev 2 --round…