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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 [`facebook/wav2vec2-xls-r-300m`](https://huggingface.co/facebook/wav2vec2-xls-r-300m) 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 +14 -13
README.md CHANGED
@@ -12,48 +12,49 @@ tags:
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  - robust-speech-event
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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: XLS-R-300M - Romanian
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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 7
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  type: mozilla-foundation/common_voice_7_0
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  args: ro
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 14.194
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- - name: Test CER
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- type: cer
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  value: 3.288
 
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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: ro
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 40.869
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- - name: Test CER
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- type: cer
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  value: 12.049
 
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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: ro
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 47.2
 
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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
 
12
  - robust-speech-event
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  datasets:
14
  - mozilla-foundation/common_voice_7_0
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+ base_model: facebook/wav2vec2-xls-r-300m
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  model-index:
17
  - name: XLS-R-300M - Romanian
18
  results:
19
  - task:
 
20
  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
22
  dataset:
23
  name: Common Voice 7
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  type: mozilla-foundation/common_voice_7_0
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  args: ro
26
  metrics:
27
+ - type: wer
 
28
  value: 14.194
29
+ name: Test WER
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+ - type: cer
31
  value: 3.288
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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:
37
  name: Robust Speech Event - Dev Data
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  type: speech-recognition-community-v2/dev_data
39
  args: ro
40
  metrics:
41
+ - type: wer
 
42
  value: 40.869
43
+ name: Test WER
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+ - type: cer
45
  value: 12.049
46
+ name: Test CER
47
  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
50
  dataset:
51
  name: Robust Speech Event - Test Data
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  type: speech-recognition-community-v2/eval_data
53
  args: ro
54
  metrics:
55
+ - type: wer
 
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  value: 47.2
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+ name: Test WER
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  ---
59
 
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You