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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-large-v2`](https://huggingface.co/openai/whisper-large-v2) 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 +11 -10
README.md CHANGED
@@ -10,12 +10,13 @@ datasets:
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  metrics:
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  - wer
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  - cer
 
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  model-index:
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  - name: Whisper Large Portuguese
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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 pt
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  type: mozilla-foundation/common_voice_11_0
@@ -23,15 +24,15 @@ model-index:
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  split: test
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  args: pt
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  metrics:
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- - name: WER
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- type: wer
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  value: 4.816664144852979
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- - name: CER
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- type: cer
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  value: 1.6052355927195898
 
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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 pt_br
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  type: google/fleurs
@@ -39,12 +40,12 @@ model-index:
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  split: test
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  args: pt_br
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  metrics:
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- - name: WER
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- type: wer
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  value: 8.56762285333714
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- - name: CER
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- type: cer
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  value: 5.462965196208485
 
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  ---
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  # Whisper Large Portuguese
 
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  metrics:
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  - wer
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  - cer
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+ base_model: openai/whisper-large-v2
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  model-index:
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  - name: Whisper Large Portuguese
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  results:
17
  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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  dataset:
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  name: mozilla-foundation/common_voice_11_0 pt
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  type: mozilla-foundation/common_voice_11_0
 
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  split: test
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  args: pt
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  metrics:
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+ - type: wer
 
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  value: 4.816664144852979
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+ name: WER
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+ - type: cer
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  value: 1.6052355927195898
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+ name: CER
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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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  dataset:
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  name: google/fleurs pt_br
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  type: google/fleurs
 
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  split: test
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  args: pt_br
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  metrics:
43
+ - type: wer
 
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  value: 8.56762285333714
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+ name: WER
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+ - type: cer
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  value: 5.462965196208485
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+ name: CER
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  ---
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  # Whisper Large Portuguese