Hi I have a questions about experiments

[Ha-Jungmin]

First, Thanks for good research and i'm interested in skin cancer lession classification task. So i want try reproduce your experiments but i only got 94% accuracy on HAM10000 dataset. I execute 01_Skin_Distinction.ipynb, 02_Aug_img.ipynb, 03_Svd_Blend.ipynb to make datasets and i make 54292 images to train and 828 images to validation. And i use FixCaps_HAM_24.ipynb to train and validate FixCaps model but I got 94% accuracy. Is there any train methods or I did some mistakes?

And another question is about random seed. I tried to fix seeds to use

np.random.seed(10) torch.manual_seed(10) torch.cuda.manual_seed(10)

these three codes but i can't fix result. Is there any other methods?

Thank you