Train a Model

Create a training project, configure a workflow, and start a training run to fine-tune your VLM in Datature Vi.

Train a Model · 0 of 3
1
Create a Training Project
2
Create a Workflow
3
Train Your Model
Before You Start
  • At least 20 annotated images
    • Compute Credits available in your account
By the end of this guide

After completing this stage, you will have a training project with a configured workflow and an active or completed training run.

Datature Vi organizes training into projects and workflows. A project is a container for all your training work on a given task. A workflow is a reusable configuration that specifies your model architecture, dataset, and training parameters. When you start a run, Vi launches training on GPU infrastructure using that configuration.

This stage has three steps.

1

Create a training project

Click Training in the left sidebar, then click Create Training Project. Give your project a name, add an optional description, then pick localization: Multi-Region is the default; use a single region if your org needs fixed geography for data (Security and compliance). Click Next, review the summary, and click Create Project.

What each step covers

Next steps


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