Training and Evaluation

Understand how Datature Vi trains vision-language models, what each setting controls, and how to measure your model's performance.

Datature Vi fine-tunes vision-language models (VLMs) on your annotated data. This section covers each stage of the training-to-inference pipeline: how to write system prompts that guide your model, what training settings control, how LoRA and quantization reduce cost, what evaluation metrics tell you, and how inference generates output.