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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 extracted this infromation from the `adapter_config.json` file of your model.

**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)!

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  1. README.md +20 -19
README.md CHANGED
@@ -1,11 +1,7 @@
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  ---
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  language: de
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- inference: false
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- datasets:
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- - common_voice
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- metrics:
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- - wer
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- - cer
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  tags:
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  - audio
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  - automatic-speech-recognition
@@ -13,40 +9,45 @@ tags:
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  - hf-asr-leaderboard
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  - peft
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  - lora
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- license: apache-2.0
 
 
 
 
 
 
 
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  model-index:
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  - name: whisper-large-german-lora-cv13 by Florian Zimmermeister @A\\\\Ware
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  results:
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  - task:
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- name: Speech Recognition
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  type: automatic-speech-recognition
 
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  dataset:
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  name: Common Voice de
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  type: common_voice
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  args: de
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 2.4500041837503135
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- - name: Test CER
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- type: cer
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  value: 0.9812827135155306
 
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  - task:
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- name: 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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  args: de_de
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 2.9986468200270635
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- - name: Test CER
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- type: cer
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  value: 1.510723544661796
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- library_name: transformers
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- pipeline_tag: automatic-speech-recognition
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  ---
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  This model is the peft lora adapter for whisper
 
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  ---
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  language: de
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+ license: apache-2.0
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+ library_name: transformers
 
 
 
 
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  tags:
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  - audio
7
  - automatic-speech-recognition
 
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  - hf-asr-leaderboard
10
  - peft
11
  - lora
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+ datasets:
13
+ - common_voice
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+ metrics:
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+ - wer
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+ - cer
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+ inference: false
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+ pipeline_tag: automatic-speech-recognition
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+ base_model: openai/whisper-large-v2
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  model-index:
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  - name: whisper-large-german-lora-cv13 by Florian Zimmermeister @A\\\\Ware
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  results:
23
  - task:
 
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  type: automatic-speech-recognition
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+ name: Speech Recognition
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  dataset:
27
  name: Common Voice de
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  type: common_voice
29
  args: de
30
  metrics:
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+ - type: wer
 
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  value: 2.4500041837503135
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+ name: Test WER
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+ - type: cer
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  value: 0.9812827135155306
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+ name: Test CER
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  - task:
 
38
  type: automatic-speech-recognition
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+ name: Speech Recognition
40
  dataset:
41
  name: google/fleurs
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  type: google/fleurs
43
  args: de_de
44
  metrics:
45
+ - type: wer
 
46
  value: 2.9986468200270635
47
+ name: Test WER
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+ - type: cer
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  value: 1.510723544661796
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+ name: Test CER
 
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  ---
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  This model is the peft lora adapter for whisper