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README.md
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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: 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: 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: 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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---
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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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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:
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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 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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- 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 - Test Data
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type: speech-recognition-community-v2/eval_data
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args: zh-HK
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metrics:
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- name: Test CER
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type: cer
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value: 61.55
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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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