Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding the `distilroberta-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. 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

@@ -5,26 +5,27 @@ tags:
 - financial
 - stocks
 - sentiment
-widget:
-- text: "Operating profit totaled EUR 9.4 mn , down from EUR 11.7 mn in 2004 ."
 datasets:
 - financial_phrasebank
 metrics:
 - accuracy
+widget:
+- text: Operating profit totaled EUR 9.4 mn , down from EUR 11.7 mn in 2004 .
+base_model: distilroberta-base
 model-index:
 - name: distilRoberta-financial-sentiment
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: financial_phrasebank
       type: financial_phrasebank
       args: sentences_allagree
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9823008849557522
+      name: Accuracy
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You