Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`google/flan-t5-xl`](https://huggingface.co/google/flan-t5-xl) 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

@@ -1,21 +1,22 @@
 ---
-datasets:
-- yahma/alpaca-cleaned
-- databricks/databricks-dolly-15k
-- samsum
-pipeline_tag: text2text-generation
-tags:
-- t5
-- adapter
-- flan-t5
-- peft
-- lora
 language:
 - en
 - ja
 - de
 - fr
 - multilingual
+tags:
+- t5
+- adapter
+- flan-t5
+- peft
+- lora
+datasets:
+- yahma/alpaca-cleaned
+- databricks/databricks-dolly-15k
+- samsum
+pipeline_tag: text2text-generation
+base_model: google/flan-t5-xl
 ---
 
 # Usage