I want to finetune clap for my downstream task, can anyone help
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Description
Anyone who has finetuned CLap for their specialized task, if anyone has done please help. I want to know that without class labels and without using wandb can we finetune the model
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
No files, tests, or entry points are named. Start by reviewing the repository's fine-tuning guidance and determine whether CLAP supports training without class labels or wandb; done would be a documented answer or reproducible procedure.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 15/100