Librarian Bot: Add base_model information to model

#2
Files changed (1) hide show
  1. README.md +10 -9
README.md CHANGED
@@ -9,12 +9,13 @@ 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 Tiny French Cased
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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 fr
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  type: mozilla-foundation/common_voice_11_0
@@ -22,12 +23,12 @@ model-index:
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  split: test
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  args: fr
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  metrics:
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- - name: Wer
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- type: wer
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  value: 33.06549172161867
 
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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 fr_fr
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  type: google/fleurs
@@ -35,12 +36,12 @@ model-index:
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  split: test
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  args: fr_fr
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  metrics:
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- - name: Wer
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- type: wer
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  value: 36.69
 
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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: facebook/voxpopuli fr
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  type: facebook/voxpopuli
@@ -48,9 +49,9 @@ model-index:
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  split: test
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  args: fr
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  metrics:
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- - name: Wer
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- type: wer
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  value: 32.71
 
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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-tiny
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  model-index:
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  - name: Whisper Tiny French Cased
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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 fr
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  type: mozilla-foundation/common_voice_11_0
 
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  split: test
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  args: fr
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  metrics:
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+ - type: wer
 
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  value: 33.06549172161867
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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 fr_fr
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  type: google/fleurs
 
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  split: test
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  args: fr_fr
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  metrics:
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+ - type: wer
 
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  value: 36.69
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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: facebook/voxpopuli fr
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  type: facebook/voxpopuli
 
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  split: test
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  args: fr
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  metrics:
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+ - type: wer
 
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  value: 32.71
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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