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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-large-xlsr-53`](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) 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)!

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  1. README.md +26 -25
README.md CHANGED
@@ -1,11 +1,6 @@
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  ---
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  language: en
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- datasets:
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- - common_voice
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- - mozilla-foundation/common_voice_6_0
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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
@@ -15,50 +10,56 @@ tags:
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  - robust-speech-event
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  - speech
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  - xlsr-fine-tuning-week
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- license: apache-2.0
 
 
 
 
 
 
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  model-index:
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  - name: XLSR Wav2Vec2 English by Jonatas Grosman
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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 en
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  type: common_voice
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  args: en
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 19.06
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- - name: Test CER
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- type: cer
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  value: 7.69
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- - name: Test WER (+LM)
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- type: wer
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  value: 14.81
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- - name: Test CER (+LM)
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- type: cer
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  value: 6.84
 
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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: en
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  metrics:
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- - name: Dev WER
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- type: wer
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  value: 27.72
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- - name: Dev CER
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- type: cer
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  value: 11.65
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- - name: Dev WER (+LM)
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- type: wer
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  value: 20.85
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- - name: Dev CER (+LM)
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- type: cer
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  value: 11.01
 
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  ---
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  # Fine-tuned XLSR-53 large model for speech recognition in English
 
1
  ---
2
  language: en
3
+ license: apache-2.0
 
 
 
 
 
4
  tags:
5
  - audio
6
  - automatic-speech-recognition
 
10
  - robust-speech-event
11
  - speech
12
  - xlsr-fine-tuning-week
13
+ datasets:
14
+ - common_voice
15
+ - mozilla-foundation/common_voice_6_0
16
+ metrics:
17
+ - wer
18
+ - cer
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+ base_model: facebook/wav2vec2-large-xlsr-53
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  model-index:
21
  - name: XLSR Wav2Vec2 English by Jonatas Grosman
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  results:
23
  - task:
 
24
  type: automatic-speech-recognition
25
+ name: Automatic Speech Recognition
26
  dataset:
27
  name: Common Voice en
28
  type: common_voice
29
  args: en
30
  metrics:
31
+ - type: wer
 
32
  value: 19.06
33
+ name: Test WER
34
+ - type: cer
35
  value: 7.69
36
+ name: Test CER
37
+ - type: wer
38
  value: 14.81
39
+ name: Test WER (+LM)
40
+ - type: cer
41
  value: 6.84
42
+ name: Test CER (+LM)
43
  - task:
 
44
  type: automatic-speech-recognition
45
+ name: Automatic Speech Recognition
46
  dataset:
47
  name: Robust Speech Event - Dev Data
48
  type: speech-recognition-community-v2/dev_data
49
  args: en
50
  metrics:
51
+ - type: wer
 
52
  value: 27.72
53
+ name: Dev WER
54
+ - type: cer
55
  value: 11.65
56
+ name: Dev CER
57
+ - type: wer
58
  value: 20.85
59
+ name: Dev WER (+LM)
60
+ - type: cer
61
  value: 11.01
62
+ name: Dev CER (+LM)
63
  ---
64
 
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  # Fine-tuned XLSR-53 large model for speech recognition in English