Librarian Bot: Add base_model information to model
#2
by
librarian-bot
- opened
README.md
CHANGED
@@ -1,8 +1,7 @@
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---
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license: apache-2.0
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language: fr
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library_name: transformers
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thumbnail: null
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tags:
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- automatic-speech-recognition
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- hf-asr-leaderboard
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@@ -17,79 +16,80 @@ datasets:
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- gigant/african_accented_french
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metrics:
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- wer
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model-index:
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- name: Fine-tuned Wav2Vec2 XLS-R 1B model for ASR in French
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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 11.0
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type: mozilla-foundation/common_voice_11_0
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args: fr
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metrics:
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-
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-
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type: wer
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value: 12.61
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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: Multilingual LibriSpeech (MLS)
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type: facebook/multilingual_librispeech
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args: french
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metrics:
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-
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type: wer
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value: 9.39
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value: 8.06
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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: VoxPopuli
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type: polinaeterna/voxpopuli
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args: fr
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metrics:
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-
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-
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type: wer
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value: 9.94
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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: African Accented French
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type: gigant/african_accented_french
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args: fr
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metrics:
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-
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type: wer
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value: 22.98
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-
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value: 20.73
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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: fr
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metrics:
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-
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type: wer
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value: 17.88
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value: 14.01
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---
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# Fine-tuned Wav2Vec2 XLS-R 1B model for ASR in French
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---
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language: fr
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+
license: apache-2.0
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library_name: transformers
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tags:
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- automatic-speech-recognition
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- hf-asr-leaderboard
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- gigant/african_accented_french
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metrics:
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- wer
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base_model: facebook/wav2vec2-xls-r-1b
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model-index:
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- name: Fine-tuned Wav2Vec2 XLS-R 1B model for ASR in French
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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: Common Voice 11.0
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type: mozilla-foundation/common_voice_11_0
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args: fr
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metrics:
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- type: wer
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value: 14.8
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name: Test WER
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- type: wer
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value: 12.61
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name: Test WER (+LM)
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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: Multilingual LibriSpeech (MLS)
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type: facebook/multilingual_librispeech
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args: french
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metrics:
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- type: wer
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value: 9.39
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name: Test WER
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+
- type: wer
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value: 8.06
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+
name: Test WER (+LM)
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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: VoxPopuli
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type: polinaeterna/voxpopuli
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args: fr
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metrics:
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- type: wer
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value: 11.8
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name: Test WER
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- type: wer
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value: 9.94
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+
name: Test WER (+LM)
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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: African Accented French
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type: gigant/african_accented_french
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args: fr
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metrics:
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+
- type: wer
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value: 22.98
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+
name: Test WER
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+
- type: wer
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value: 20.73
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+
name: Test WER (+LM)
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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: fr
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metrics:
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- type: wer
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value: 17.88
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+
name: Test WER
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+
- type: wer
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value: 14.01
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+
name: Test WER (+LM)
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---
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# Fine-tuned Wav2Vec2 XLS-R 1B model for ASR in French
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