Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`indobenchmark/indobert-large-p2`](https://huggingface.co/indobenchmark/indobert-large-p2) as a `base_model` field, situated in the `YAML` block of your model's `README.md`.

How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection.

**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). Your input is invaluable to us!

README.md

@@ -1,15 +1,12 @@
 ---
-model-index:
-- name: Rifky/IndoBERT-Large-P2-QA
-  results: []
 language:
 - id
 - en
+license: apache-2.0
 tags:
 - IndoBERT
 - IndoBenchmark
 - generated_from_keras_callback
-license: apache-2.0
 datasets:
 - Indo4B
 - Squad_2.0_Indonesian_Translated
@@ -23,6 +20,10 @@ widget:
     mencatat, Perang Diponegoro atau Perang Jawa dikenal sebagai perang yang menelan
     korban terbanyak dalam sejarah Indonesia, yakni 8.000 korban serdadu Hindia Belanda,
     7.000 pribumi, dan 200 ribu orang Jawa serta kerugian materi 25 juta Gulden.
+base_model: indobenchmark/indobert-large-p2
+model-index:
+- name: Rifky/IndoBERT-Large-P2-QA
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information Keras had access to. You should