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Your project is so good.If I want to use knowledge distillation to teach your ViT-Adapter-S model to learn the human semantic segmentation effect of ViT-Adapter-L, what should I be mindful of.
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"[Object detection at 200 Frames Per Second] (https://arxiv.org/pdf/1805.06361.pdf)" In this paper, you can see a significant improvement in the performance of "tiny-yolov2".
Is there a way to use th…
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We aim to implement a system that leverages distillation and quantization to create a "child" neural network by combining parameters from two "parent" neural networks. The child network should inherit…
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Hi!
I came across this library very recently and i am loving it! In my current research I am trying to implement knowledge distillation, which requires multiple datasets to be passed in, here a singl…
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[”Distilling the Knowledge in a Neural Network](https://link.zhihu.com/?target=https%3A//arxiv.org/abs/1503.02531)
[Prakhar Ganesh. "Knowledge Distillation : Simplified"](https://towardsdatascience…
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Hi Team,
I have attempted Knowledge Distillation using Torchtune for the 8B and 1B Instruct models. However, I still need to apply KD to the Vision Instruct model. I followed the same steps and cre…
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Hi, thank you for your great work!
I have a question that makes me feel confused about your experimental part in the paper. You compared "VPN++" and "VPN++ +3D pose". But if I understand correctly, …
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I am interested a implementation of model knowledge distillation for this specific model. This technique will allows us to transfer the valuable knowledge and performance of a larger, resource-intensi…
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torchrun --nproc_per_node 1 \
-m FlagEmbedding.finetune.reranker.encoder_only.base \
--model_name_or_path…
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I noticed the conclusion in your paper - "In contrast, Single -> Multi knowledge distillation improves or matches the performance of the other methods on all tasks except STS, the only regression task…