Librarian Bot: Add base_model information to model
Browse filesThis 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!
@@ -11,65 +11,66 @@ tags:
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- robust-speech-event
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datasets:
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- librispeech_asr
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model-index:
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- name: XLS-R-300M - English
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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: LibriSpeech (clean)
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type: librispeech_asr
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config: clean
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split: test
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-
args:
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language: en
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metrics:
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-
-
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type: wer
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value: 12.29
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-
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-
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value: 3.34
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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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-
-
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type: wer
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value: 36.75
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-
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-
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value: 14.83
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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 8.0
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type: mozilla-foundation/common_voice_8_0
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config: en
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split: test
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-
args:
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language: en
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metrics:
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-
-
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-
type: wer
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value: 37.81
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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: en
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metrics:
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-
-
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-
type: wer
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value: 38.8
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---
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#
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- robust-speech-event
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datasets:
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- librispeech_asr
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+
base_model: facebook/wav2vec2-xls-r-300m
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model-index:
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- name: XLS-R-300M - English
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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: LibriSpeech (clean)
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type: librispeech_asr
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config: clean
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split: test
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+
args:
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language: en
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metrics:
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+
- type: wer
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value: 12.29
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+
name: Test WER
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+
- type: cer
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value: 3.34
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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: en
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metrics:
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+
- type: wer
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value: 36.75
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+
name: Validation WER
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+
- type: cer
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value: 14.83
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+
name: Validation 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: Common Voice 8.0
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type: mozilla-foundation/common_voice_8_0
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config: en
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split: test
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+
args:
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language: en
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metrics:
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+
- type: wer
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value: 37.81
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+
name: Test WER
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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: en
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metrics:
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+
- type: wer
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value: 38.8
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+
name: Test WER
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---
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#
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