Fine Tune Vision Model LlaVa on Custom Dataset

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This video is a step-by-step hands-on tutorial to show how to fine-tune Llava model on custom dataset locally or on Colab. Fine-tuning multi-modal models wit TRL has become easier.

#llava #llavafinetune

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Fahd Mirza

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Did anyone manage to solve the out of memory error?

DionysosKM

Reduce your batch size to solve the out of memory error.

AI-Doom-

Thank you very much, in my case I want to prepare the images dataset to create a custom and detailed captioning for each image and then fine-tune LLaVA model to this new dataset (images, captions pares) am I right? and if yes how to do that

khawlaalqarni

Could you also guide us on how to fine-tune Phi-3 Vision model? Thank you.

MrGoldersub

Any reference on getting inference from the results of finetuned model weights based on the above approach

selvapriyankar

how can i finetune a model like Shape e for 3D image generation?

asadishaq

how would you finetune a Vision Language model on a Corpus (documents) without images?

trapbushali

I am trying to use vision models to extract data from document images. Results are good with the exception of radio buttons. Claude 3 and LLava are awful. Do you know of other models that might do better? I wanted to avoid using fine tuned models.

wycgpxr

can't you turn any model into a clip vision model?

spencerfunk

how to convert these models to gguf format

aissabakhil

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