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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-small`](https://huggingface.co/openai/whisper-small) 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!

Files changed (1) hide show
  1. README.md +5 -6
README.md CHANGED
@@ -9,6 +9,7 @@ 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 Small Belarusian
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  results:
@@ -23,9 +24,8 @@ model-index:
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  args: be
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  metrics:
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  - type: wer
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- name: WER
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  value: 6.3671568743912
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-
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  - task:
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  type: automatic-speech-recognition
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  name: Automatic Speech Recognition
@@ -37,9 +37,8 @@ model-index:
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  args: be
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  metrics:
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  - type: wer
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- name: WER
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  value: 6.79
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-
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  - task:
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  type: automatic-speech-recognition
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  name: Automatic Speech Recognition
@@ -51,10 +50,10 @@ model-index:
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  metrics:
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  - type: wer
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  value: 43.615168811067036
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- name: "WER (reference column: transcription)"
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  - type: wer
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  value: 45.89674723962996
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- name: "WER (reference column: raw_transcription)"
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - mozilla-foundation/common_voice_11_0
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  metrics:
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  - wer
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+ base_model: openai/whisper-small
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  model-index:
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  - name: Whisper Small Belarusian
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  results:
 
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  args: be
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  metrics:
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  - type: wer
 
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  value: 6.3671568743912
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+ name: WER
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  - task:
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  type: automatic-speech-recognition
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  name: Automatic Speech Recognition
 
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  args: be
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  metrics:
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  - type: wer
 
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  value: 6.79
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+ name: WER
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  - task:
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  type: automatic-speech-recognition
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  name: Automatic Speech Recognition
 
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  metrics:
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  - type: wer
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  value: 43.615168811067036
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+ name: 'WER (reference column: transcription)'
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  - type: wer
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  value: 45.89674723962996
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+ name: 'WER (reference column: raw_transcription)'
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You