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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 [`cahya/wav2vec2-base-turkish-artificial-cv`](https://huggingface.co/cahya/wav2vec2-base-turkish-artificial-cv) 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).

If you want to automatically add `base_model` metadata to more of your modes you can use the [Librarian Bot](https://huggingface.co/librarian-bot) [Metadata Request Service](https://huggingface.co/spaces/librarian-bots/metadata_request_service)!

Files changed (1) hide show
  1. README.md +18 -25
README.md CHANGED
@@ -11,62 +11,55 @@ tags:
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  - tr
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  datasets:
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  - mozilla-foundation/common_voice_7_0
 
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  model-index:
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  - name: Wav2Vec2 Base Turkish by Cahya
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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: Common Voice 6.1
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  type: mozilla-foundation/common_voice_7_0
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  args: tr
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 9.437
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- - name: Test CER
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- type: cer
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  value: 3.325
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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: Common Voice 7
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- type: mozilla-foundation/common_voice_7_0
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- args: tr
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- metrics:
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- - name: Test WER
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- type: wer
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  value: 8.147
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- - name: Test CER
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- type: cer
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  value: 2.802
 
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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: Robust Speech Event - Dev Data
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  type: speech-recognition-community-v2/dev_data
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  args: tr
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 28.011
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- - name: Test CER
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- type: cer
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  value: 10.66
 
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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: Robust Speech Event - Test Data
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  type: speech-recognition-community-v2/eval_data
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  args: tr
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 33.62
 
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  ---
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  #
 
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  - tr
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  datasets:
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  - mozilla-foundation/common_voice_7_0
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+ base_model: cahya/wav2vec2-base-turkish-artificial-cv
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  model-index:
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  - name: Wav2Vec2 Base Turkish by Cahya
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  results:
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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: Common Voice 6.1
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  type: mozilla-foundation/common_voice_7_0
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  args: tr
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  metrics:
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+ - type: wer
 
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  value: 9.437
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+ name: Test WER
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+ - type: cer
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  value: 3.325
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+ name: Test CER
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+ - type: wer
 
 
 
 
 
 
 
 
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  value: 8.147
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+ name: Test WER
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+ - type: cer
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  value: 2.802
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+ name: Test 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: Robust Speech Event - Dev Data
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  type: speech-recognition-community-v2/dev_data
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  args: tr
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  metrics:
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+ - type: wer
 
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  value: 28.011
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+ name: Test WER
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+ - type: cer
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  value: 10.66
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+ name: Test 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: Robust Speech Event - Test Data
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  type: speech-recognition-community-v2/eval_data
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  args: tr
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  metrics:
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+ - type: wer
 
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  value: 33.62
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+ name: Test WER
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  ---
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  #