Librarian Bot: Add base_model information to model

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

@@ -1,8 +1,6 @@
 ---
-license: apache-2.0
 language: en
-datasets:
-- Jzuluaga/uwb_atcc
+license: apache-2.0
 tags:
 - text
 - sequence-classification
@@ -11,48 +9,54 @@ tags:
 - generated_from_trainer
 - bert
 - bertraffic
+datasets:
+- Jzuluaga/uwb_atcc
 metrics:
 - Precision
 - Recall
 - Accuracy
 - F1
 widget:
-- text: "csa two nine six startup approved mike current qnh one zero one eight time check one seven"
-- text: "swiss four eight seven november runway three one cleared for takeoff wind one three zero degrees seven knots"
-- text: "lufthansa five yankee victor runway one three clear to land wind zero seven zero degrees"
-- text: "austrian seven one zulu hello to you reduce one six zero knots"
-- text: "sky travel one nine two approaching holding point three one ready for departure"
+- text: csa two nine six startup approved mike current qnh one zero one eight time
+    check one seven
+- text: swiss four eight seven november runway three one cleared for takeoff wind
+    one three zero degrees seven knots
+- text: lufthansa five yankee victor runway one three clear to land wind zero seven
+    zero degrees
+- text: austrian seven one zulu hello to you reduce one six zero knots
+- text: sky travel one nine two approaching holding point three one ready for departure
 - name: bert-base-speaker-role-atc-en-uwb-atcc
   results:
   - task:
-        type: token-classification
-        name: chunking
+      type: token-classification
+      name: chunking
     dataset:
-        type: Jzuluaga/uwb_atcc
-        name: UWB-ATCC corpus (Air Traffic Control Communications)
-        config: test
-        split: test
+      type: Jzuluaga/uwb_atcc
+      name: UWB-ATCC corpus (Air Traffic Control Communications)
+      config: test
+      split: test
     metrics:
     - type: F1
       value: 0.87
       name: TEST F1 (macro)
-      verified: False
+      verified: false
     - type: Accuracy
       value: 0.91
       name: TEST Accuracy
-      verified: False
+      verified: false
     - type: Precision
       value: 0.86
       name: TEST Precision (macro)
-      verified: False
+      verified: false
     - type: Recall
       value: 0.88
       name: TEST Recall (macro)
-      verified: False   
+      verified: false
     - type: Jaccard Error Rate
       value: 0.169
       name: TEST Jaccard Error Rate
-      verified: False   
+      verified: false
+base_model: bert-base-uncased
 ---
 
 # bert-base-speaker-role-atc-en-uwb-atcc