Welcome to Finetuner!#
Fine-tuning is an effective way to improve performance on neural search tasks. However, setting up and performing fine-tuning can be very time-consuming and resource-intensive.
Jina AI’s Finetuner makes fine-tuning easier and faster by streamlining the workflow and handling all the complexity and infrastructure in the cloud. With Finetuner, you can easily enhance the performance of pre-trained models, making them production-ready without extensive labeling or expensive hardware.
🎏 Better embeddings: Create high-quality embeddings for semantic search, visual similarity search, cross-modal text<->image search, recommendation systems, clustering, duplication detection, anomaly detection, or other uses.
⏰ Low budget, high expectations: Bring considerable improvements to model performance, making the most out of as little as a few hundred training samples, and finish fine-tuning in as little as an hour.
📈 Performance promise: Enhance the performance of pre-trained models so that they deliver state-of-the-art performance on domain-specific applications.
🔱 Simple yet powerful: Easy access to 40+ mainstream loss functions, 10+ optimizers, layer pruning, weight freezing, dimensionality reduction, hard-negative mining, cross-modal models, and distributed training.
☁ All-in-cloud: Train using our GPU infrastructure, manage runs, experiments, and artifacts on Jina AI Cloud without worrying about resource availability, complex integration, or infrastructure costs.
Install#
Make sure you have Python 3.8+ installed. Finetuner can be installed via pip by executing:
pip install -U finetuner
If you want to submit a fine-tuning job on the cloud, please use
pip install "finetuner[full]"
Articles about Finetuner#
Check out our published blogposts and tutorials to see Finetuner in action!
Support#
Use Discussions to talk about your use cases, questions, and support queries.
Join our Discord community and chat with other community members about ideas.
Join our Engineering All Hands meet-up to discuss your use case and learn Jina AI new features.
When? The second Tuesday of every month
Where? Zoom (see our public events calendar/.ical) and live stream on YouTube
Subscribe to the latest video tutorials on our YouTube channel
Join Us#
Finetuner is backed by Jina AI and licensed under Apache-2.0.
We are actively hiring AI engineers and solution engineers to build the next generation of open-source AI ecosystems.
