librarian-bot commited on
Commit
762abf7
1 Parent(s): af46c2d

Librarian Bot: Add base_model information to model

Browse files

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)!

Files changed (1) hide show
  1. README.md +15 -14
README.md CHANGED
@@ -1,34 +1,35 @@
1
  ---
2
  language: ar
 
 
 
 
 
 
3
  datasets:
4
  - common_voice
5
  - arabic_speech_corpus
6
  metrics:
7
  - wer
8
  - cer
9
- tags:
10
- - audio
11
- - automatic-speech-recognition
12
- - speech
13
- - xlsr-fine-tuning-week
14
- license: apache-2.0
15
  model-index:
16
  - name: XLSR Wav2Vec2 Arabic by Jonatas Grosman
17
  results:
18
- - task:
19
- name: Speech Recognition
20
  type: automatic-speech-recognition
 
21
  dataset:
22
  name: Common Voice ar
23
  type: common_voice
24
  args: ar
25
  metrics:
26
- - name: Test WER
27
- type: wer
28
- value: 39.59
29
- - name: Test CER
30
- type: cer
31
- value: 18.18
32
  ---
33
 
34
  # Fine-tuned XLSR-53 large model for speech recognition in Arabic
 
1
  ---
2
  language: ar
3
+ license: apache-2.0
4
+ tags:
5
+ - audio
6
+ - automatic-speech-recognition
7
+ - speech
8
+ - xlsr-fine-tuning-week
9
  datasets:
10
  - common_voice
11
  - arabic_speech_corpus
12
  metrics:
13
  - wer
14
  - cer
15
+ base_model: facebook/wav2vec2-large-xlsr-53
 
 
 
 
 
16
  model-index:
17
  - name: XLSR Wav2Vec2 Arabic by Jonatas Grosman
18
  results:
19
+ - task:
 
20
  type: automatic-speech-recognition
21
+ name: Speech Recognition
22
  dataset:
23
  name: Common Voice ar
24
  type: common_voice
25
  args: ar
26
  metrics:
27
+ - type: wer
28
+ value: 39.59
29
+ name: Test WER
30
+ - type: cer
31
+ value: 18.18
32
+ name: Test CER
33
  ---
34
 
35
  # Fine-tuned XLSR-53 large model for speech recognition in Arabic