Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`facebook/wav2vec2-base`](https://huggingface.co./facebook/wav2vec2-base) 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).

If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co./librarian-bot) [Metadata Request Service](https://huggingface.co./spaces/librarian-bots/metadata_request_service)!

README.md

@@ -1,27 +1,28 @@
 ---
+license: apache-2.0
+tags:
+- generated_from_trainer
 datasets:
 - coscan-speech2
-license: apache-2.0
 metrics:
 - accuracy
+base_model: facebook/wav2vec2-base
 model-index:
 - name: wav2vec2-base-coscan-no-area
   results:
-  - dataset:
+  - task:
+      type: audio-classification
+      name: Audio Classification
+    dataset:
       name: Coscan Speech
       type: NbAiLab/coscan-speech
     metrics:
-    - name: Test Accuracy
-      type: accuracy
+    - type: accuracy
       value: 0.8360824410790649
-    - name: Validation Accuracy
-      type: accuracy
+      name: Test Accuracy
+    - type: accuracy
       value: 0.9485961489524133
-    task:
-      name: Audio Classification
-      type: audio-classification
-tags:
-- generated_from_trainer
+      name: Validation Accuracy
 ---
 
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