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

@@ -7,20 +7,21 @@ datasets:
 - amazon_polarity
 metrics:
 - accuracy
+base_model: bert-base-uncased
 model-index:
 - name: bert-base-uncased-amazon_polarity
   results:
   - task:
-      name: Text Classification
       type: text-classification
+      name: Text Classification
     dataset:
       name: amazon_polarity
       type: amazon_polarity
       args: amazon_polarity
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.94647
+      name: Accuracy
   - task:
       type: text-classification
       name: Text Classification
@@ -30,29 +31,29 @@ model-index:
       config: amazon_polarity
       split: test
     metrics:
-    - name: Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.9464875
+      name: Accuracy
       verified: true
-    - name: Precision
-      type: precision
+    - type: precision
       value: 0.9528844934702675
+      name: Precision
       verified: true
-    - name: Recall
-      type: recall
+    - type: recall
       value: 0.939425
+      name: Recall
       verified: true
-    - name: AUC
-      type: auc
+    - type: auc
       value: 0.9863499156250001
+      name: AUC
       verified: true
-    - name: F1
-      type: f1
+    - type: f1
       value: 0.9461068798388619
+      name: F1
       verified: true
-    - name: loss
-      type: loss
+    - type: loss
       value: 0.2944573760032654
+      name: loss
       verified: true
 ---