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.
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!
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.
Subscribe to the latest video tutorials on our YouTube channel
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.