Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`microsoft/deberta-v3-large`](https://huggingface.co/microsoft/deberta-v3-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). Your input is invaluable to us!

README.md

@@ -5,49 +5,49 @@ metrics:
 - f1
 - precision
 - recall
+pipeline_tag: token-classification
+widget:
+- text: Jacob Collier is a Grammy awarded artist from England.
+  example_title: NER Example 1
+base_model: microsoft/deberta-v3-large
 model-index:
 - name: tner/deberta-v3-large-ontonotes5
   results:
   - task:
-      name: Token Classification
       type: token-classification
+      name: Token Classification
     dataset:
       name: tner/ontonotes5
       type: tner/ontonotes5
       args: tner/ontonotes5
     metrics:
-    - name: F1
-      type: f1
+    - type: f1
       value: 0.9069623608411381
-    - name: Precision
-      type: precision
+      name: F1
+    - type: precision
       value: 0.902100360312857
-    - name: Recall
-      type: recall
+      name: Precision
+    - type: recall
       value: 0.9118770542773386
-    - name: F1 (macro)
-      type: f1_macro
+      name: Recall
+    - type: f1_macro
       value: 0.834586960779896
-    - name: Precision (macro)
-      type: precision_macro
+      name: F1 (macro)
+    - type: precision_macro
       value: 0.8237351069457466
-    - name: Recall (macro)
-      type: recall_macro
+      name: Precision (macro)
+    - type: recall_macro
       value: 0.8475169311172334
-    - name: F1 (entity span)
-      type: f1_entity_span
+      name: Recall (macro)
+    - type: f1_entity_span
       value: 0.9267538434352359
-    - name: Precision (entity span)
-      type: precision_entity_span
+      name: F1 (entity span)
+    - type: precision_entity_span
       value: 0.9217857456718517
-    - name: Recall (entity span)
-      type: recall_entity_span
+      name: Precision (entity span)
+    - type: recall_entity_span
       value: 0.9317757839566492
-
-pipeline_tag: token-classification
-widget:
-- text: "Jacob Collier is a Grammy awarded artist from England."
-  example_title: "NER Example 1"
+      name: Recall (entity span)
 ---
 # tner/deberta-v3-large-ontonotes5