# Florence2 ๐Ÿ”ฅFlorence-2 Fine-tuning: Microsoft's foundation VLM just got more awesome! ๐Ÿš€ Learn about the fine-tuning and access useful links๐Ÿ‘‡ * Team successfully fine-tuned Florence2 for DocVQA * 0 to 57.0 similarity score on validation set ๐Ÿ“ˆ * Works with limited resources (single GPU, small batch size) * Frozen vision encoder still yields great results * Fine-tuning code & Colab notebook available ๐Ÿค— * Demo is up on Hugging Face Spaces Who's ready to fine-tune Florence-2 for their own tasks? ๐Ÿ”ฅ ๐Ÿ™Œ Massive props to team for making this accessible! @mervenoyann @andi\_marafioti @skalskip92\ \ Blog: \ Colab: \ Demo:
--- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://metaverse-imagen.gitbook.io/ai-tools-research/large-language-models-llms/open-source-llms/florence2.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.