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Can you share a hyperparameter configuration for optimal performance? The default parameter configuration does not reproduce the performance reported in the paper.
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Did you use a 256 x 256 crop size in the configuration to train the agan model or is it the default 128 x 128? I have tried to replicate your results for the agan weights but get grids (block edges, s…
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Hi,
Thanks for the wonderful work! I have a question regarding the hyperparameters in the paper. Are the default hyperparameters stored in config.locomotion the same as those used in Figures 2, 5,…
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I'm training the segmentation EfficientViT B1 on Cityscapes, and achieving ~0.6 mIoU, however the reported results are around 0.8 mIoU.
Would you be able to offer some guidance or share more detai…
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The explainer currently assumes that a model is best controlled by setting its temperature and top-K sampling hyperparameters.
However, these aren't universal among all models. And, various other m…
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Hello,
Thank you for this great work! I’ve been working with an algorithm very similar to CQL, but with a key difference: we require annealing schedules for the hyperparameters (e.g., adjusting the c…
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Hello !
I'm trying to use AMP_for_hardware to learn a nice walk on a small bipedal robot. I have produced motion example data in the same format as you used here.
I tried running trainings wit…
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Dear maintainers,
I have couple questions according to hyperparameters.
1) What are the exact hyperparameters to run llama.py that are reported in Table2 for GPTVQ 2D for Llama2-7b? I am strugg…