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
 - token-classification
@@ -11,6 +9,8 @@ tags:
 - generated_from_trainer
 - bert
 - bertraffic
+datasets:
+- Jzuluaga/uwb_atcc
 metrics:
 - Precision
 - Recall
@@ -18,42 +18,47 @@ metrics:
 - F1
 - Jaccard Error Rate
 widget:
-- text: "lining up runway three one csa five bravo easy five three kilo romeo contact ruzyne ground one two one decimal nine good bye"
-- text: "csa seven three two zero so change of taxi quality eight nine sierra we need to full length britair five nine zero bravo contact ruzyne ground one two one decimal nine good bye"
-- text: "swiss four six one foxtrot line up runway three one and wait one two one nine csa four yankee alfa"
-- text: "tower klm five five tango ils three one wizz air four papa uniform tower roger"
+- text: lining up runway three one csa five bravo easy five three kilo romeo contact
+    ruzyne ground one two one decimal nine good bye
+- text: csa seven three two zero so change of taxi quality eight nine sierra we need
+    to full length britair five nine zero bravo contact ruzyne ground one two one
+    decimal nine good bye
+- text: swiss four six one foxtrot line up runway three one and wait one two one nine
+    csa four yankee alfa
+- text: tower klm five five tango ils three one wizz air four papa uniform tower roger
+base_model: bert-base-uncased
 model-index:
 - name: bert-base-token-classification-for-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
+      name: UWB-ATCC corpus (Air Traffic Control Communications)
+      type: Jzuluaga/uwb_atcc
+      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
 ---
 
 # bert-base-token-classification-for-atc-en-uwb-atcc