Librarian Bot: Add base_model information to model

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

If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!

README.md

@@ -1,40 +1,41 @@
 ---
 license: mit
 tags:
-    - generated_from_trainer
+- generated_from_trainer
 datasets:
-    - go_emotions
+- go_emotions
 metrics:
-    - f1
+- f1
+base_model: roberta-large
 model-index:
-    - name: roberta-large-goemotions
-      results:
-          - task:
-                name: Text Classification
-                type: text-classification
-            dataset:
-                name: go_emotions
-                type: multilabel_classification
-                config: simplified
-                split: test
-                args: simplified
-            metrics:
-                - name: F1
-                  type: f1
-                  value: 0.5102
-          - task:
-                name: Text Classification
-                type: text-classification
-            dataset:
-                name: go_emotions
-                type: multilabel_classification
-                config: simplified
-                split: validation
-                args: simplified
-            metrics:
-                - name: F1
-                  type: f1
-                  value: 0.5227
+- name: roberta-large-goemotions
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: go_emotions
+      type: multilabel_classification
+      config: simplified
+      split: test
+      args: simplified
+    metrics:
+    - type: f1
+      value: 0.5102
+      name: F1
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: go_emotions
+      type: multilabel_classification
+      config: simplified
+      split: validation
+      args: simplified
+    metrics:
+    - type: f1
+      value: 0.5227
+      name: F1
 ---
 
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