Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`distilgpt2`](https://huggingface.co/distilgpt2) 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).

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

@@ -2,22 +2,21 @@
 license: apache-2.0
 tags:
 - generated_from_trainer
+widget:
+- text: Toward Annotator Group Bias in Crowdsourcing. Introduction
+  example_title: Introduction
+- text: Over the last few years, there has been a move towards data
+  example_title: Over the last few years
+- text: We introduce a new language representation
+  example_title: new language representation
+- text: Acknowledgements. This research is supported by the National Science Foundation
+  example_title: Acknowledgements
+- text: 'We hope that our work serves not only to inform the NLP '
+  example_title: We hope that
+base_model: distilgpt2
 model-index:
 - name: distilgpt2-finetune-acl22
   results: []
-widget:
-
-- text: "Toward Annotator Group Bias in Crowdsourcing. Introduction"
-  example_title: "Introduction"
-- text: "Over the last few years, there has been a move towards data"
-  example_title: "Over the last few years"
-- text: "We introduce a new language representation"
-  example_title: "new language representation"
-- text: "Acknowledgements. This research is supported by the National Science Foundation"
-  example_title: "Acknowledgements"
-- text: "We hope that our work serves not only to inform the NLP "
-  example_title: "We hope that"
- 
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You