Librarian Bot: Add base_model information to model

#4
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  1. README.md +33 -33
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
@@ -17,93 +16,94 @@ 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-FR-7K-large 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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- - name: Test WER
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- type: wer
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  value: 11.44
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- - name: Test WER (+LM)
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- type: wer
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  value: 9.66
 
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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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- - name: Test WER
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- type: wer
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  value: 5.93
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- - name: Test WER (+LM)
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- type: wer
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  value: 5.13
 
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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: facebook/voxpopuli
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  args: fr
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  metrics:
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- - name: Test WER
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- type: wer
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  value: 9.33
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- - name: Test WER (+LM)
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- type: wer
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  value: 8.51
 
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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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- - name: Test WER
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- type: wer
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  value: 16.22
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- - name: Test WER (+LM)
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- type: wer
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  value: 15.39
 
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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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- - name: Test WER
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- type: wer
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  value: 16.56
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- - name: Test WER (+LM)
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- type: wer
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  value: 12.96
 
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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: Fleurs
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  type: google/fleurs
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  args: fr_fr
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  metrics:
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- - name: Test WER
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- type: wer
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- value: 10.10
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- - name: Test WER (+LM)
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- type: wer
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  value: 8.84
 
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  ---
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  # Fine-tuned wav2vec2-FR-7K-large 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: LeBenchmark/wav2vec2-FR-7K-large
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  model-index:
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  - name: Fine-tuned wav2vec2-FR-7K-large 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: 11.44
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+ name: Test WER
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+ - type: wer
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  value: 9.66
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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: 5.93
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+ name: Test WER
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+ - type: wer
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  value: 5.13
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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: facebook/voxpopuli
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  args: fr
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  metrics:
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+ - type: wer
 
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  value: 9.33
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+ name: Test WER
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+ - type: wer
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  value: 8.51
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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: 16.22
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+ name: Test WER
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+ - type: wer
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  value: 15.39
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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: 16.56
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+ name: Test WER
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+ - type: wer
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  value: 12.96
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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: Fleurs
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  type: google/fleurs
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  args: fr_fr
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  metrics:
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+ - type: wer
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+ value: 10.1
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+ name: Test WER
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+ - type: wer
 
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  value: 8.84
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+ name: Test WER (+LM)
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  ---
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  # Fine-tuned wav2vec2-FR-7K-large model for ASR in French