Librarian Bot: Add base_model information to model

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

@@ -1,30 +1,29 @@
 ---
 language: en
 license: apache-2.0
-datasets:
-  - amazon_reviews_multi
-model-index:
-  - name: distilbert-base-uncased-finetuned-amazon-reviews
-    results:
-      - task:
-          type: text-classification
-          name: Text Classification
-        dataset:
-          type: amazon-reviews-multi
-          name: amazon_reviews_multi
-          split: test
-        metrics:
-          - type: accuracy
-            value: 0.8558
-            name: Accuracy top2
-          - type: loss
-            value: 1.2339
-            name: Loss
-
 tags:
 - generated_from_keras_callback
-
+datasets:
+- amazon_reviews_multi
 pipeline_tag: text-classification
+base_model: distilbert-base-uncased
+model-index:
+- name: distilbert-base-uncased-finetuned-amazon-reviews
+  results:
+  - task:
+      type: text-classification
+      name: Text Classification
+    dataset:
+      name: amazon_reviews_multi
+      type: amazon-reviews-multi
+      split: test
+    metrics:
+    - type: accuracy
+      value: 0.8558
+      name: Accuracy top2
+    - type: loss
+      value: 1.2339
+      name: Loss
 ---