Librarian Bot: Add base_model information to model

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

@@ -1,5 +1,6 @@
-
 ---
+language:
+- en
 license: apache-2.0
 library_name: span-marker
 tags:
@@ -7,43 +8,41 @@ tags:
 - token-classification
 - ner
 - named-entity-recognition
+datasets:
+- conll2003
+- tomaarsen/conll2003
+metrics:
+- f1
+- recall
+- precision
 pipeline_tag: token-classification
 widget:
-  - text: >-
-      Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic
-      to Paris.
-    example_title: Amelia Earhart
+- text: Amelia Earhart flew her single engine Lockheed Vega 5B across the Atlantic
+    to Paris.
+  example_title: Amelia Earhart
+base_model: xlm-roberta-large
 model-index:
-  - name: >-
-      SpanMarker w. xlm-roberta-large on CoNLL03 with document-level context by Tom Aarsen
-    results:
-      - task:
-          type: token-classification
-          name: Named Entity Recognition
-        dataset:
-          type: conll2003
-          name: CoNLL03 w. document context
-          split: test
-          revision: 01ad4ad271976c5258b9ed9b910469a806ff3288
-        metrics:
-          - type: f1
-            value: 0.9442
-            name: F1
-          - type: precision
-            value: 0.9411
-            name: Precision
-          - type: recall
-            value: 0.9473
-            name: Recall
-datasets:
-  - conll2003
-  - tomaarsen/conll2003
-language:
-  - en
-metrics:
-  - f1
-  - recall
-  - precision
+- name: SpanMarker w. xlm-roberta-large on CoNLL03 with document-level context by
+    Tom Aarsen
+  results:
+  - task:
+      type: token-classification
+      name: Named Entity Recognition
+    dataset:
+      name: CoNLL03 w. document context
+      type: conll2003
+      split: test
+      revision: 01ad4ad271976c5258b9ed9b910469a806ff3288
+    metrics:
+    - type: f1
+      value: 0.9442
+      name: F1
+    - type: precision
+      value: 0.9411
+      name: Precision
+    - type: recall
+      value: 0.9473
+      name: Recall
 ---
 
 # SpanMarker for Named Entity Recognition