Train a Model
Fine-tune vision-language models on your annotated data using Datature Vi's five-stage training workflow.
Training a vision-language model (VLM) in Datature Vi follows a five-stage workflow. You create a reusable workflow that captures your system prompt, dataset split, and model configuration, then launch training runs against it.
Before You Start
-
A training project already created in Datature Vi
- A dataset with annotations ready for use
- Compute Credits available for GPU training
New to Datature Vi? Learn what it does or follow the quickstart.
By the end of this guide
Configure and launch a fine-tuning run for a vision-language model using the five-stage workflow.
The five-stage workflow
Each stage builds on the previous one. A workflow stores all configuration so you can run the same setup multiple times without reconfiguring.
Next steps
Updated 4 months ago
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