Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`microsoft/deberta-v3-xsmall`](https://huggingface.co/microsoft/deberta-v3-xsmall) 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 was requested via the [Librarian Bot](https://huggingface.co/librarian-bot) [metadata request service](https://huggingface.co/spaces/librarian-bots/metadata_request_service) by request of [davanstrien](https://huggingface.co/davanstrien)

README.md

@@ -8,12 +8,24 @@ datasets:
 - glue
 metrics:
 - matthews_correlation
+widget:
+- text: The cat sat on the mat.
+  example_title: Correct grammatical sentence
+- text: Me and my friend going to the store.
+  example_title: Incorrect subject-verb agreement
+- text: I ain't got no money.
+  example_title: Incorrect verb conjugation and double negative
+- text: She don't like pizza no more.
+  example_title: Incorrect verb conjugation and double negative
+- text: They is arriving tomorrow.
+  example_title: Incorrect verb conjugation
+base_model: microsoft/deberta-v3-xsmall
 model-index:
 - name: deberta-v3-xsmall-CoLA
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: GLUE COLA
       type: glue
@@ -21,21 +33,9 @@ model-index:
       split: validation
       args: cola
     metrics:
-    - name: Matthews Correlation
-      type: matthews_correlation
+    - type: matthews_correlation
       value: 0.5894856058137782
-
-widget:
-  - text: 'The cat sat on the mat.'
-    example_title: Correct grammatical sentence
-  - text: 'Me and my friend going to the store.'
-    example_title: Incorrect subject-verb agreement
-  - text: 'I ain''t got no money.'
-    example_title: Incorrect verb conjugation and double negative
-  - text: 'She don''t like pizza no more.'
-    example_title: Incorrect verb conjugation and double negative
-  - text: 'They is arriving tomorrow.'
-    example_title: Incorrect verb conjugation
+      name: Matthews Correlation
 ---