Is there any possible script/instruction to look at for fine-tuning?
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Description
Hi! First of all thanks a lot for such amazing project.
I wonder if there is a valid way to fine-tune the model for specific tasks using customized datasets? I am trying to adapt the model to improve the performance and the source data structure I have is also for classification. It has below content:
- Source audio
- Text prompt
- The event ID
I found that this script looks promising, but I do not know how to configure my data in order to replicate the process on my datasets since I found in the options, the sccipt has many setting very specific to ESC50. Do we have any gist on this problem? Thanks in advance!
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Research direction
Start with experiment_scripts/finetune-esc50.sh and compare its ESC50-specific options with the requested audio, text prompt, and event ID fields. Done means documenting the dataset format and configuration needed to reproduce fine-tuning on a custom classification dataset.
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Assessment
- Tech stack
- python, shell
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 30/100