Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`j-hartmann/sentiment-roberta-large-english-3-classes`](https://huggingface.co/j-hartmann/sentiment-roberta-large-english-3-classes) 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

@@ -1,36 +1,36 @@
 ---
+language:
+- en
 tags:
-  - text
-  - stance
-  - text-classification
-
+- text
+- stance
+- text-classification
 pipeline_tag: text-classification
-
-language:
-  - en
-
 widget:
-- text: user Bolsonaro is the president of Brazil. He speaks for all brazilians. Greta is a climate activist. Their opinions do create a balance that the world needs now
+- text: user Bolsonaro is the president of Brazil. He speaks for all brazilians. Greta
+    is a climate activist. Their opinions do create a balance that the world needs
+    now
   example_title: example 1
-- text: user The fact is that she still doesn’t change her ways and still stays non environmental friendly
+- text: user The fact is that she still doesn’t change her ways and still stays non
+    environmental friendly
   example_title: example 2
 - text: user The criteria for these awards dont seem to be very high.
   example_title: example 3
-  
+base_model: j-hartmann/sentiment-roberta-large-english-3-classes
 model-index:
 - name: Stance-Tw
   results:
   - task:
-      type: stance-classification             # Required. Example: automatic-speech-recognition
-      name: Text Classification            # Optional. Example: Speech Recognition
+      type: stance-classification
+      name: Text Classification
     dataset:
-      type: stance          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: stance          # Required. A pretty name for the dataset. Example: Common Voice (French)
+      name: stance
+      type: stance
     metrics:
-      - type: f1          
-        value: 75.8       
-      - type: accuracy          
-        value: 76.2     
+    - type: f1
+      value: 75.8
+    - type: accuracy
+      value: 76.2
 ---
 
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