Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`Wav2Vec2-Base`](https://huggingface.co/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

@@ -2,26 +2,27 @@
 language: en
 license: apache-2.0
 tags:
-  - phoneme-recognition
-  - generated_from_trainer
+- phoneme-recognition
+- generated_from_trainer
 datasets:
-  - w11wo/ljspeech_phonemes
+- w11wo/ljspeech_phonemes
+base_model: Wav2Vec2-Base
 model-index:
-  - name: Wav2Vec2 LJSpeech Gruut
-    results:
-      - task:
-          name: Automatic Speech Recognition
-          type: automatic-speech-recognition
-        dataset:
-          name: LJSpeech
-          type: ljspeech_phonemes
-        metrics:
-          - name: Test PER (w/o stress)
-            type: per
-            value: 0.0099
-          - name: Test CER (w/o stress)
-            type: cer
-            value: 0.0058
+- name: Wav2Vec2 LJSpeech Gruut
+  results:
+  - task:
+      type: automatic-speech-recognition
+      name: Automatic Speech Recognition
+    dataset:
+      name: LJSpeech
+      type: ljspeech_phonemes
+    metrics:
+    - type: per
+      value: 0.0099
+      name: Test PER (w/o stress)
+    - type: cer
+      value: 0.0058
+      name: Test CER (w/o stress)
 ---
 
 # Wav2Vec2 LJSpeech Gruut