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Can you please share the hyperparameters you used to reproduce the results mentioned in paper.
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Approved by @SalmanMohammadi. This issue's purpose is to determine which contrastive optimization methods should be added in torchtune and track methods that are implementing right now. For all of the…
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When I train with default hyperparameters on office31 dataset, the accuracy is only 91.06%, can you please give the key hyperparameters?
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我在复现结果时注释掉某个蒸馏损失并不能获得论文中去掉某个模块的结果,请教您一下您是如何做的消融实验
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After running the preprocessing and training scripts as they are provided in this repository I was unable to replicate the results of EAGLE on the cityscapes dataset. I trained with the configs presen…
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Hello,
I am a PhD student closely following your recent article on methods and structures mentioned in Euler's paper for DTDG link prediction. Thanks for sharing the slides and the associated code …
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I went through a couple of older issues that talk about this, but I think it is high time we have the functionality to enable the users to retrain models on the best performing model? I love this libr…
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In https://github.com/tsb0601/MMVP/blob/main/LLaVA/finetune.sh#L20, I notice that --per_device_train_batch_size is 11, however in paper appendix
> Table 4. Hyperparameters for MoF training on LL…
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Hello @xuguodong03 @liuziwei7
Thank you for your interesting study and publishing your code for cifar dataset!
I recently found a couple of issues regarding hyperparameters. Could you please answ…
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Currently the method to implement a "union" type is to use conditional hyperparameters:
```python
import ConfigSpace as CS
from ConfigSpace.hyperparameters import CategoricalHyperparameter as Cat…