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Fine Tuning Code #10

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Shivansh-Srivastava-techolution opened this issue Jun 23, 2023 · 15 comments
Closed

Fine Tuning Code #10

Shivansh-Srivastava-techolution opened this issue Jun 23, 2023 · 15 comments

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@Shivansh-Srivastava-techolution

Hey,
Huge thanks for such a great repo that you have made, just wanted to know if it can be fine tuned for specific purposes, it would be great if you could provide code to fine tune the model on COCO dataset.

@unriddler
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Looking forward to the training code.

@EveningLin
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@zxDeepDiver Looking forward to the training code+1

@Xelawk
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Xelawk commented Jun 28, 2023

Looking forward to the training code+2

@githublqs
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Looking forward to the training code+3

@Zr2223
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Zr2223 commented Jun 28, 2023

Looking forward to the training code+4

@beyoursel
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Looking forward to the training code+5

@mertikinci
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Looking forward to the training code+6

@songbingze
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Looking forward to the training code+7

@j0987834204
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Looking forward to the training code+8

@an-yongqi
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Thanks very much for all of you for your attention! Training and fine-tuning codes will be put together and released soon!

Hey, Huge thanks for such a great repo that you have made, just wanted to know if it can be fine tuned for specific purposes, it would be great if you could provide code to fine tune the model on COCO dataset.

@zxDeepDiver
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@zxDeepDiver Looking forward to the training code+1

Thanks for your attention. The training scripts will be released for the better application in downstream scenarios.

@Sijie-L
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Sijie-L commented Jul 10, 2023

Thanks very much for all of you for your attention! Training and fine-tuning codes will be put together and released soon!

Hey, Huge thanks for such a great repo that you have made, just wanted to know if it can be fine tuned for specific purposes, it would be great if you could provide code to fine tune the model on COCO dataset.

Could you kindly provide an expected date when you guys will release it? It will be greatly appreciated!!

@an-yongqi
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The code is currently being organized to optimize its utility for downstream task fine-tuning scenarios. If you wish to promptly obtain the code for training or fine-tuning purposes, kindly reach out to us via email and specify your intended use case. We welcome your usage across various scenarios. For emailing, we recommend contacting us at xu.zhao@nlpr.ia.ac.cn.

@AT38875
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AT38875 commented Aug 9, 2023

Hi @an-yongqi I have mailed regarding the finetuning code. Could you please check and revert bask?

@zxDeepDiver
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