Is there any possible script to look at for fine-tuning?

[underdogliu]

Hi! First of all thanks a lot for such amazing project.

While appreciating the contribution, I wonder if there is a valid way to fine-tune the model for specific tasks using cutomized datasets? I am trying to adapt the model to improve the performance and the source data structure is also for classification.

[bmartin1]

Hi Xuechen Liu (@underdogliu),

We don't have any immediate plans to release code for finetuning. If you or anybody else write code to finetune a model using CLAP weights, we would be happy to share the repo link in our CLAP repo. Thanks for using our model in your project 👏!

[anshumansinha16]

How to load the pre-trained weights? I wish to use the pre-trained encoders (audio and text) for some downstream tasks. Can you provide the state dictionaries for the model? I only want to initialise the weights and don't intend to freeze them.

I only saw the weights for the pre-trained model. But loading them on an instance of CLAP(clap_instance.load_state_dict(state_dict)) , gives me error

RuntimeError: Error(s) in loading state_dict for CLAP: ....
... Unexpected key(s) in state_dict: "epoch", "model", "optimizer", "scheduler".