Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`roberta-base`](https://huggingface.co/roberta-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). Your input is invaluable to us!

README.md

@@ -4,6 +4,16 @@ datasets:
 metrics:
 - f1
 - accuracy
+pipeline_tag: text-classification
+widget:
+- text: I'm sure the {@Tampa Bay Lightning@} would’ve rather faced the Flyers but
+    man does their experience versus the Blue Jackets this year and last help them
+    a lot versus this Islanders team. Another meat grinder upcoming for the good guys
+  example_title: Example 1
+- text: Love to take night time bike rides at the jersey shore. Seaside Heights boardwalk.
+    Beautiful weather. Wishing everyone a safe Labor Day weekend in the US.
+  example_title: Example 2
+base_model: roberta-base
 model-index:
 - name: cardiffnlp/roberta-base-tweet-topic-single-all
   results:
@@ -13,24 +23,18 @@ model-index:
     dataset:
       name: cardiffnlp/tweet_topic_single
       type: cardiffnlp/tweet_topic_single
+      split: test_2021
       args: cardiffnlp/tweet_topic_single
-      split: test_2021 
     metrics:
-    - name: F1
-      type: f1
+    - type: f1
       value: 0.8877731836975783
-    - name: F1 (macro)
-      type: f1_macro
+      name: F1
+    - type: f1_macro
       value: 0.7979301633555328
-    - name: Accuracy
-      type: accuracy
+      name: F1 (macro)
+    - type: accuracy
       value: 0.8877731836975783
-pipeline_tag: text-classification
-widget:
-- text: "I'm sure the {@Tampa Bay Lightning@} would’ve rather faced the Flyers but man does their experience versus the Blue Jackets this year and last help them a lot versus this Islanders team. Another meat grinder upcoming for the good guys"
-  example_title: "Example 1"
-- text: "Love to take night time bike rides at the jersey shore. Seaside Heights boardwalk. Beautiful weather. Wishing everyone a safe Labor Day weekend in the US." 
-  example_title: "Example 2"
+      name: Accuracy
 ---
 # cardiffnlp/roberta-base-tweet-topic-single-all