Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`microsoft/deberta-v3-small`](https://huggingface.co/microsoft/deberta-v3-small) 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

@@ -4,24 +4,27 @@ tags:
 - generated_from_trainer
 datasets:
 - hate_speech18
-widget:
-- text: "ok, so do we need to kill them too or are the slavs okay ? for some reason whenever i hear the word slav , the word slobber comes to mind and i picture a slobbering half breed creature like the humpback of notre dame or Igor haha"
 metrics:
 - accuracy
+widget:
+- text: ok, so do we need to kill them too or are the slavs okay ? for some reason
+    whenever i hear the word slav , the word slobber comes to mind and i picture a
+    slobbering half breed creature like the humpback of notre dame or Igor haha
+base_model: microsoft/deberta-v3-small
 model-index:
 - name: deberta-v3-small-hate-speech
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: hate_speech18
       type: hate_speech18
       args: default
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.916058394160584
+      name: Accuracy
 ---
 
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