Librarian Bot: Add base_model information to model

#1
Files changed (1) hide show
  1. README.md +10 -9
README.md CHANGED
@@ -10,42 +10,43 @@ datasets:
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  - mozilla-foundation/common_voice_11_0
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  metrics:
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  - wer
 
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  model-index:
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  - name: Whisper Small Catalan
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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: mozilla-foundation/common_voice_11_0 ca
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  type: mozilla-foundation/common_voice_11_0
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  args: 'config: ml, split: test'
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  metrics:
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- - name: Wer
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- type: wer
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  value: 8.569471791798646
 
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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: google/fleurs ca
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  type: google/fleurs
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  args: 'config: ml, split: test'
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  metrics:
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- - name: Wer
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- type: wer
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  value: 10.64
 
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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: projecte-aina/parlament_parla clean
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  type: projecte-aina/parlament_parla
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  args: 'config: ml, split: test'
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  metrics:
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- - name: Wer
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- type: wer
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  value: 19.0
 
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 
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  - mozilla-foundation/common_voice_11_0
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  metrics:
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  - wer
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+ base_model: openai/whisper-small
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  model-index:
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  - name: Whisper Small Catalan
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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: mozilla-foundation/common_voice_11_0 ca
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  type: mozilla-foundation/common_voice_11_0
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  args: 'config: ml, split: test'
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  metrics:
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+ - type: wer
 
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  value: 8.569471791798646
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+ name: 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: google/fleurs ca
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  type: google/fleurs
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  args: 'config: ml, split: test'
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  metrics:
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+ - type: wer
 
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  value: 10.64
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+ name: 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: projecte-aina/parlament_parla clean
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  type: projecte-aina/parlament_parla
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  args: 'config: ml, split: test'
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  metrics:
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+ - type: wer
 
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  value: 19.0
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+ name: Wer
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  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You