Librarian Bot: Add base_model information to model

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

@@ -1,29 +1,30 @@
 ---
 language: vi
+license: apache-2.0
+tags:
+- audio
+- automatic-speech-recognition
+- speech
 datasets:
 - vlsp
 - common_voice
 metrics:
 - wer
-tags:
-- audio
-- automatic-speech-recognition
-- speech
-license: apache-2.0
+base_model: dragonSwing/wav2vec2-base-pretrain-vietnamese
 model-index:
 - name: Wav2vec2 Base Vietnamese
   results:
-  - task: 
-      name: Speech Recognition
+  - task:
       type: automatic-speech-recognition
+      name: Speech Recognition
     dataset:
       name: Common Voice vi
       type: common_voice
       args: vi
     metrics:
-       - name: Test WER
-         type: wer
-         value: 31.353591
+    - type: wer
+      value: 31.353591
+      name: Test WER
 ---
 # Wav2Vec2-Large-XLSR-53-Vietnamese
 Fine-tuned [dragonSwing/wav2vec2-base-pretrain-vietnamese](https://huggingface.co/dragonSwing/wav2vec2-base-pretrain-vietnamese) on Vietnamese Speech Recognition task using 100h labelled data from [VSLP dataset](https://drive.google.com/file/d/1vUSxdORDxk-ePUt-bUVDahpoXiqKchMx/view?usp=sharing).