Librarian Bot: Add base_model information to model

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

@@ -1,12 +1,8 @@
 ---
+language: en
 license: apache-2.0
 tags:
 - generated_from_trainer
-language: en
-widget:
-- text: "My name is Scott and I live in Columbus."
-- text: "My name is Scott and I am calling from Buffalo, NY. I would like to file a complain with United Airlines."
-- text: "Apple was founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne."
 datasets:
 - conll2003
 metrics:
@@ -14,29 +10,35 @@ metrics:
 - recall
 - f1
 - accuracy
+widget:
+- text: My name is Scott and I live in Columbus.
+- text: My name is Scott and I am calling from Buffalo, NY. I would like to file a
+    complain with United Airlines.
+- text: Apple was founded in 1976 by Steve Jobs, Steve Wozniak and Ronald Wayne.
+base_model: bert-large-uncased
 model-index:
 - name: bert-large-uncased-finetuned-ner
   results:
   - task:
-      name: Token Classification
       type: token-classification
+      name: Token Classification
     dataset:
       name: conll2003
       type: conll2003
       args: conll2003
     metrics:
-    - name: Precision
-      type: precision
+    - type: precision
       value: 0.9504719600222099
-    - name: Recall
-      type: recall
+      name: Precision
+    - type: recall
       value: 0.9574896520863632
-    - name: F1
-      type: f1
+      name: Recall
+    - type: f1
       value: 0.9539679001337494
-    - name: Accuracy
-      type: accuracy
+      name: F1
+    - type: accuracy
       value: 0.9885618059637473
+      name: Accuracy
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You