There is one https://github.com/jina-ai/finetuner pretty well-designed and also gives SOTA performance from its docs
> From 0.5.0, Finetuner computing is hosted on Jina Cloud. The last local version is 0.4.1, one can install it via pip or check out git tags/releases here.
But there are some cool ideas implemented there as well, I encourage you to try both!
"From 0.5.0, Finetuner computing is hosted on Jina Cloud. THe last local version is 0.4.1, one can install it via pip or check out git tags/releases here."
Moreover, fine-tuning might be just one of the applications of neural networks in the organization, and you may already have some pipelines built to train them, so it should be also unified.
And more importantly, Jina's finetuner gives you some pretrained models to choose from, while Quaterion is PyTorch Lightning based, so you can easily integrate it if you already use PyTorch and have the flexibility to fine-tune any custom network as well.