Librarian Bot: Add base_model information to model

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

@@ -6,19 +6,20 @@ datasets:
 - sagawa/ZINC-canonicalized
 metrics:
 - accuracy
+base_model: microsoft/deberta-base
 model-index:
 - name: ZINC-deberta
   results:
   - task:
-      name: Masked Language Modeling
       type: fill-mask
+      name: Masked Language Modeling
     dataset:
       name: sagawa/ZINC-canonicalized
       type: sagawa/ZINC-canonicalized
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9900059572833486
+      name: Accuracy
 ---
 
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