Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`yhavinga/ul2-base-dutch`](https://huggingface.co/yhavinga/ul2-base-dutch) 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 was requested via the [Librarian Bot](https://huggingface.co/librarian-bot) [metadata request service](https://huggingface.co/spaces/librarian-bots/metadata_request_service) by request of [BramVanroy](https://huggingface.co/BramVanroy)

README.md

@@ -1,19 +1,24 @@
 ---
+language:
+- nl
 license: cc-by-nc-sa-4.0
 tags:
-  - generated_from_trainer
-  - simplification
-task_categories:
-  - text2text-generation
-task_ids:
-  - text-simplification
-language:
-  - nl
+- generated_from_trainer
+- simplification
 datasets:
-  - BramVanroy/chatgpt-dutch-simplification
+- BramVanroy/chatgpt-dutch-simplification
 metrics:
-  - rouge
-  - sari
+- rouge
+- sari
+task_categories:
+- text2text-generation
+task_ids:
+- text-simplification
+widget:
+- example_title: Cooking
+  text: Op bepaalde tijdstippen verlang ik naar de smaakvolle culinaire creaties welke
+    door de ambachtelijke expertise van mijn grootmoeder zijn vervaardigd.
+base_model: yhavinga/ul2-base-dutch
 model-index:
 - name: BramVanroy/ul2-base-dutch-simplification-mai-2023
   results:
@@ -21,43 +26,39 @@ model-index:
       type: text-simplification
       name: Text Simplification
     dataset:
-      type: BramVanroy/chatgpt-dutch-simplification
       name: ChatGPT Dutch Simplification
+      type: BramVanroy/chatgpt-dutch-simplification
     metrics:
-      - type: rouge
-        value: 41.5749
-        name: Eval Rouge-1
-      - type: rouge
-        value: 19.9
-        name: Eval Rouge-2
-      - type: rouge
-        value: 36.3204
-        name: Eval RougeL
-      - type: rouge
-        value: 36.2596
-        name: Eval RougeLsum
-      - type: sari
-        value: 53.0091
-        name: Eval SARI
-      - type: rouge
-        value: 44.2877
-        name: Test Rouge-1
-      - type: rouge
-        value: 20.8132
-        name: Test Rouge-2
-      - type: rouge
-        value: 39.0951
-        name: Test RougeL
-      - type: rouge
-        value: 39.2709
-        name: Test RougeLsum
-      - type: sari
-        value: 52.9621
-        name: Test SARI
-widget:
-- example_title: "Cooking"
-  text: "Op bepaalde tijdstippen verlang ik naar de smaakvolle culinaire creaties welke door de ambachtelijke expertise van mijn grootmoeder zijn vervaardigd."
-
+    - type: rouge
+      value: 41.5749
+      name: Eval Rouge-1
+    - type: rouge
+      value: 19.9
+      name: Eval Rouge-2
+    - type: rouge
+      value: 36.3204
+      name: Eval RougeL
+    - type: rouge
+      value: 36.2596
+      name: Eval RougeLsum
+    - type: sari
+      value: 53.0091
+      name: Eval SARI
+    - type: rouge
+      value: 44.2877
+      name: Test Rouge-1
+    - type: rouge
+      value: 20.8132
+      name: Test Rouge-2
+    - type: rouge
+      value: 39.0951
+      name: Test RougeL
+    - type: rouge
+      value: 39.2709
+      name: Test RougeLsum
+    - type: sari
+      value: 52.9621
+      name: Test SARI
 ---