Optimal parameters for cogagent-vqa - do_sample? top_p? top_k? temperature? #314
Replies: 3 comments 4 replies
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For the default parameters, they are set according to the default values in our online experience address: If you want to set do_sample = True |
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if do_sample=false, then no sampling when generate the token, |
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@zRzRzRzRzRzRzR thank you so much so if we set do sample the only parameter we add is top_p = 0.8 top k and temperature remains same right? also cogagent-vqa is the best model for this right? |
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yes, that is the default parameters We don't have "the most suitable parameters". These are just our default parameters. You can debug them according to your scenario, but the default parameters are the most common. |
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@zRzRzRzRzRzRzR thank you so much for replies do you know why i might be getting these warnings?
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Are you using 4-bit to load? If so, this is normal, just ignore it. |
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yes 4 bit thank you for fast reply |
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Hello. I am working on a tutorial for using cogagent-vqa for image captioning for Stable Diffusion training.
Could you let me know optimal parameters for captioning images? it will be 1 question and answer
Also is cogagent-vqa best for this?
do_sample : false or true?
top_p : what value?
top_k : what value?
temperature : what value?
can you tell me default values to set them?
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