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@@ -13,62 +13,73 @@ datasets:
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  model-index:
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  - name: XLS-R-300M - Chinese_HongKong (Cantonese)
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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 8
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  type: mozilla-foundation/common_voice_8_0
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  args: zh-HK
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  metrics:
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- - name: Test WER
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- type: wer
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- value: 0.8111349803079126
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- - name: Test CER
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- type: cer
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- value: 0.21962250882996914
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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: zh-HK
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  metrics:
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- - name: Test WER
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- type: wer
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- value: 1.0
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- - name: Test CER
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- type: cer
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- value: 0.6160564326503191
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- - task:
45
- name: Automatic Speech Recognition
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  type: automatic-speech-recognition
47
  dataset:
48
  name: Common Voice 8
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  type: mozilla-foundation/common_voice_8_0
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  args: zh-HK
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  metrics:
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- - name: Test WER with LM
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- type: wer
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- value: 0.8055853920515574
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- - name: Test CER with LM
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- type: cer
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- value: 0.21578686612008757
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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: zh-HK
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  metrics:
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- - name: Test WER with LM
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- type: wer
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- value: 1.0012453300124533
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- - name: Test CER with LM
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- type: cer
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- value: 0.6153006382264025
 
 
 
 
 
 
 
 
 
 
 
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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
 
13
  model-index:
14
  - name: XLS-R-300M - Chinese_HongKong (Cantonese)
15
  results:
16
+ - task:
17
+ name: Automatic Speech Recognition
18
  type: automatic-speech-recognition
19
  dataset:
20
  name: Common Voice 8
21
  type: mozilla-foundation/common_voice_8_0
22
  args: zh-HK
23
  metrics:
24
+ - name: Test WER
25
+ type: wer
26
+ value: 0.8111349803079126
27
+ - name: Test CER
28
+ type: cer
29
+ value: 0.21962250882996914
30
+ - task:
31
+ name: Automatic Speech Recognition
32
  type: automatic-speech-recognition
33
  dataset:
34
  name: Robust Speech Event - Dev Data
35
  type: speech-recognition-community-v2/dev_data
36
  args: zh-HK
37
  metrics:
38
+ - name: Test WER
39
+ type: wer
40
+ value: 1.0
41
+ - name: Test CER
42
+ type: cer
43
+ value: 0.6160564326503191
44
+ - task:
45
+ name: Automatic Speech Recognition
46
  type: automatic-speech-recognition
47
  dataset:
48
  name: Common Voice 8
49
  type: mozilla-foundation/common_voice_8_0
50
  args: zh-HK
51
  metrics:
52
+ - name: Test WER with LM
53
+ type: wer
54
+ value: 0.8055853920515574
55
+ - name: Test CER with LM
56
+ type: cer
57
+ value: 0.21578686612008757
58
+ - task:
59
+ name: Automatic Speech Recognition
60
  type: automatic-speech-recognition
61
  dataset:
62
  name: Robust Speech Event - Dev Data
63
  type: speech-recognition-community-v2/dev_data
64
  args: zh-HK
65
  metrics:
66
+ - name: Test WER with LM
67
+ type: wer
68
+ value: 1.0012453300124533
69
+ - name: Test CER with LM
70
+ type: cer
71
+ value: 0.6153006382264025
72
+ - task:
73
+ name: Automatic Speech Recognition
74
+ type: automatic-speech-recognition
75
+ dataset:
76
+ name: Robust Speech Event - Test Data
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+ type: speech-recognition-community-v2/eval_data
78
+ args: zh-HK
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+ metrics:
80
+ - name: Test CER
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+ type: cer
82
+ value: 61.55
83
  ---
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You