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whisper-large-v2-cv11-french

Automatic Speech Recognition
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2

Librarian Bot: Add base_model information to model

#2
by librarian-bot - opened
base: refs/heads/main
←
from: refs/pr/2
Discussion Files changed
+28
-28
Files changed (1) hide show
  1. README.md +28 -28
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
@@ -11,12 +10,13 @@ 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: Fine-tuned whisper-large-v2 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
@@ -24,15 +24,15 @@ 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 (Greedy)
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- type: wer
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  value: 8.05
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- - name: WER (Beam 5)
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- type: wer
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  value: 7.67
 
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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
@@ -40,15 +40,15 @@ model-index:
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  split: test
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  args: french
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  metrics:
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- - name: WER (Greedy)
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- type: wer
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  value: 5.56
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- - name: WER (Beam 5)
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- type: wer
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  value: 5.28
 
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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
@@ -56,15 +56,15 @@ 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 (Greedy)
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- type: wer
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- value: 11.50
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- - name: WER (Beam 5)
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- type: wer
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  value: 10.69
 
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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: Fleurs
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  type: google/fleurs
@@ -72,15 +72,15 @@ 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 (Greedy)
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- type: wer
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  value: 5.42
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- - name: WER (Beam 5)
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- type: wer
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  value: 5.05
 
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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
@@ -88,12 +88,12 @@ 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 (Greedy)
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- type: wer
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  value: 6.47
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- - name: WER (Beam 5)
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- type: wer
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  value: 5.95
 
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  ---
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  <style>
 
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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
 
5
  tags:
6
  - automatic-speech-recognition
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  - hf-asr-leaderboard
 
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  - mozilla-foundation/common_voice_11_0
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  metrics:
12
  - wer
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+ base_model: openai/whisper-large-v2
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  model-index:
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  - name: Fine-tuned whisper-large-v2 model for ASR in French
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  results:
17
  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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  dataset:
21
  name: Common Voice 11.0
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  type: mozilla-foundation/common_voice_11_0
 
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  split: test
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  args: fr
26
  metrics:
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+ - type: wer
 
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  value: 8.05
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+ name: WER (Greedy)
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+ - type: wer
31
  value: 7.67
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+ name: WER (Beam 5)
33
  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
36
  dataset:
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  name: Multilingual LibriSpeech (MLS)
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  type: facebook/multilingual_librispeech
 
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  split: test
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  args: french
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  metrics:
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+ - type: wer
 
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  value: 5.56
45
+ name: WER (Greedy)
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+ - type: wer
47
  value: 5.28
48
+ name: WER (Beam 5)
49
  - task:
 
50
  type: automatic-speech-recognition
51
+ name: Automatic Speech Recognition
52
  dataset:
53
  name: VoxPopuli
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  type: facebook/voxpopuli
 
56
  split: test
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  args: fr
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  metrics:
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+ - type: wer
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+ value: 11.5
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+ name: WER (Greedy)
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+ - type: wer
 
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  value: 10.69
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+ name: WER (Beam 5)
65
  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
68
  dataset:
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  name: Fleurs
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  type: google/fleurs
 
72
  split: test
73
  args: fr_fr
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  metrics:
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+ - type: wer
 
76
  value: 5.42
77
+ name: WER (Greedy)
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+ - type: wer
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  value: 5.05
80
+ name: WER (Beam 5)
81
  - task:
 
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  type: automatic-speech-recognition
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+ name: Automatic Speech Recognition
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  dataset:
85
  name: African Accented French
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  type: gigant/african_accented_french
 
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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: 6.47
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+ name: WER (Greedy)
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+ - type: wer
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  value: 5.95
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+ name: WER (Beam 5)
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  ---
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  <style>