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Librarian Bot: Add base_model information to model

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This pull request aims to enrich the metadata of your model by adding [`openai/whisper-medium`](https://huggingface.co/openai/whisper-medium) 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!

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  1. README.md +34 -33
README.md CHANGED
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  ---
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  license: apache-2.0
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  tags:
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- - whisper-event
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- - generated_from_trainer
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- - hf-asr-leaderboard
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  datasets:
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- - arbml/mgb2
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  metrics:
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- - wer
 
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  model-index:
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- - name: Whisper Medium ar - Zaid Alyafeai
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- results:
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- - task:
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- name: Automatic Speech Recognition
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- type: automatic-speech-recognition
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- dataset:
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- name: mozilla-foundation/common_voice_11_0
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- type: mozilla-foundation/common_voice_11_0
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- config: ar
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- split: test
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- args: ar
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- metrics:
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- - name: Wer
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- type: wer
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- value: 34.28
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- - task:
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- name: Automatic Speech Recognition
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- type: automatic-speech-recognition
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- dataset:
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- name: google/fleurs
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- type: google/fleurs
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- config: ar_eg
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- split: test
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- args: ar
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- metrics:
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- - name: Wer
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- type: wer
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- value: 12.04
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  ---
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1
  ---
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  license: apache-2.0
3
  tags:
4
+ - whisper-event
5
+ - generated_from_trainer
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+ - hf-asr-leaderboard
7
  datasets:
8
+ - arbml/mgb2
9
  metrics:
10
+ - wer
11
+ base_model: openai/whisper-medium
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  model-index:
13
+ - name: Whisper Medium ar - Zaid Alyafeai
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+ results:
15
+ - task:
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+ type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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+ dataset:
19
+ name: mozilla-foundation/common_voice_11_0
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+ type: mozilla-foundation/common_voice_11_0
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+ config: ar
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+ split: test
23
+ args: ar
24
+ metrics:
25
+ - type: wer
26
+ value: 34.28
27
+ name: Wer
28
+ - task:
29
+ type: automatic-speech-recognition
30
+ name: Automatic Speech Recognition
31
+ dataset:
32
+ name: google/fleurs
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+ type: google/fleurs
34
+ config: ar_eg
35
+ split: test
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+ args: ar
37
+ metrics:
38
+ - type: wer
39
+ value: 12.04
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+ name: Wer
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  ---
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