Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`AmelieSchreiber/cafa_5_protein_function_prediction`](https://huggingface.co/AmelieSchreiber/cafa_5_protein_function_prediction) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We extracted this infromation from the `adapter_config.json` file of your model.

**Why add this?** Enhancing your model's metadata in this way:
- **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub.
- **Highlights Impact** - It showcases the contributions and influences different models have within the community.

For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer).

This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien).

If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!

README.md

@@ -1,4 +1,7 @@
 ---
+language:
+- en
+license: mit
 library_name: peft
 tags:
 - esm
@@ -12,9 +15,7 @@ tags:
 - protein function prediction
 datasets:
 - AmelieSchreiber/cafa_5
-license: mit
-language:
-- en
+base_model: AmelieSchreiber/cafa_5_protein_function_prediction
 ---
 
 # ESM-2 LoRA for CAFA-5 Protein Function Prediction