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The training details, including the training part and frozen part in each stage, as well as the training dataset and optimizer settings, are provided in Section 3 and Section 4.1 of our paper. For Q-former, just set the parameters of the Q-Former trainable and include them in the optimizer. (sorry I didn't get the uniqueness of "Q-former" in your question, maybe a detailed explanation?)
Currently we don't have plans to publish the training code, sorry for that. But personally, I think it's easy to implement based on the provided model code and training details in our paper.
Can you train detail "Style Embedding Extraction"?
Especially, a trainable "Q-Former", how to train this?
Can you publish train code?
Thank you.
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