Librarian Bot: Add base_model information to model

This pull request aims to enrich the metadata of your model by adding [`Harveenchadha/vakyansh-wav2vec2-urdu-urm-60`](https://huggingface.co/Harveenchadha/vakyansh-wav2vec2-urdu-urm-60) 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

@@ -1,7 +1,8 @@
 ---
-license: apache-2.0
 language:
 - ur
+license: apache-2.0
+library_name: transformers
 tags:
 - automatic-speech-recognition
 - robust-speech-event
@@ -11,29 +12,28 @@ datasets:
 metrics:
 - wer
 - cer
-library_name: transformers
 pipeline_tag: automatic-speech-recognition
-
+base_model: Harveenchadha/vakyansh-wav2vec2-urdu-urm-60
 model-index:
 - name: wav2vec2-urdu
   results:
   - task:
-      type: automatic-speech-recognition             # Required. Example: automatic-speech-recognition
-      name: Urdu Speech Recognition            # Optional. Example: Speech Recognition
+      type: automatic-speech-recognition
+      name: Urdu Speech Recognition
     dataset:
-      type: common_voice          # Required. Example: common_voice. Use dataset id from https://hf.co/datasets
-      name: Common Voice (Urdu)          # Required. A pretty name for the dataset. Example: Common Voice (French)
+      name: Common Voice (Urdu)
+      type: common_voice
     metrics:
-      - type: wer         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 57.47       # Required. Example: 20.90
-        name: WER         # Optional. Example: Test WER
-        config: load_metric("wer")     # Optional. The name of the metric configuration used in `load_metric()`. Example: bleurt-large-512 in `load_metric("bleurt", "bleurt-large-512")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/v2.1.0/en/loading#load-configurations
-        verified: true              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
-      - type: cer         # Required. Example: wer. Use metric id from https://hf.co/metrics
-        value: 32.68       # Required. Example: 20.90
-        name: CER        # Optional. Example: Test WER
-        config: load_metric("cer")     # Optional. The name of the metric configuration used in `load_metric()`. Example: bleurt-large-512 in `load_metric("bleurt", "bleurt-large-512")`. See the `datasets` docs for more info: https://huggingface.co/docs/datasets/v2.1.0/en/loading#load-configurations
-        verified: true              # Optional. If true, indicates that evaluation was generated by Hugging Face (vs. self-reported).
+    - type: wer
+      value: 57.47
+      name: WER
+      config: load_metric("wer")
+      verified: true
+    - type: cer
+      value: 32.68
+      name: CER
+      config: load_metric("cer")
+      verified: true
 ---
 
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