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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 +22 -21
README.md CHANGED
@@ -1,36 +1,37 @@
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  ---
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  language:
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- - nl
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  license: apache-2.0
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  tags:
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- - whisper-event
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- - hf-asr-leaderboard
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  datasets:
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- - mozilla-foundation/common_voice_11_0
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  metrics:
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- - wer
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- model-index:
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- - name: Whisper Medium nl - GeoffVdr
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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: nl
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- split: test
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- args: nl
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- metrics:
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- - name: Wer
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- type: wer
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- value: 7.514
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  co2_eq_emissions:
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  emissions: 2930
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  source: https://mlco2.github.io/impact/
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  training_type: fine-tuning
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  geographical_location: Ghent, Belgium
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  hardware_used: 1 v100 GPU
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  # Whisper Medium nl - GeoffVdr
 
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  ---
2
  language:
3
+ - nl
4
  license: apache-2.0
5
  tags:
6
+ - whisper-event
7
+ - hf-asr-leaderboard
8
  datasets:
9
+ - mozilla-foundation/common_voice_11_0
10
  metrics:
11
+ - wer
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
12
  co2_eq_emissions:
13
  emissions: 2930
14
  source: https://mlco2.github.io/impact/
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  training_type: fine-tuning
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  geographical_location: Ghent, Belgium
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  hardware_used: 1 v100 GPU
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+ base_model: openai/whisper-medium
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+ model-index:
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+ - name: Whisper Medium nl - GeoffVdr
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+ results:
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+ - task:
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+ type: automatic-speech-recognition
24
+ name: Automatic Speech Recognition
25
+ dataset:
26
+ name: mozilla-foundation/common_voice_11_0
27
+ type: mozilla-foundation/common_voice_11_0
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+ config: nl
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+ split: test
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+ args: nl
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+ metrics:
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+ - type: wer
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+ value: 7.514
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+ name: Wer
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  ---
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  # Whisper Medium nl - GeoffVdr