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  1. README.md +39 -28
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@@ -16,7 +16,7 @@ datasets:
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  model-index:
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  - name: wav2vec2-xls-r-1b-ca
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  results:
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- - task:
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  name: Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
@@ -24,13 +24,13 @@ model-index:
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  type: mozilla-foundation/common_voice_8_0
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  args: ca
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  metrics:
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- - name: Test WER
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- type: wer
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- value: 0.11030639657300516
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- - name: Test CER
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- type: cer
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- value: 0.028405630530040634
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- - task:
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  name: Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
@@ -38,13 +38,13 @@ model-index:
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  type: projecte-aina/parlament_parla
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  args: clean
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  metrics:
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- - name: Test WER
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- type: wer
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- value: 0.06483115660665961
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- - name: Test CER
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- type: cer
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- value: 0.020212863746191828
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- - task:
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  name: Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
@@ -52,13 +52,13 @@ model-index:
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  type: collectivat/tv3_parla
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  args: ca
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  metrics:
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- - name: Test WER
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- type: wer
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- value: 0.17917773414943988
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- - name: Test CER
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- type: cer
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- value: 0.08872589572206396
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- - task:
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  name: Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
@@ -66,12 +66,23 @@ model-index:
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  type: speech-recognition-community-v2/dev_data
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  args: ca
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  metrics:
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- - name: Test WER
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- type: wer
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- value: 0.27126683954209097
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- - name: Test CER
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- type: cer
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- value: 0.14213308815078726
 
 
 
 
 
 
 
 
 
 
 
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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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  should probably proofread and complete it, then remove this comment. -->
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  model-index:
17
  - name: wav2vec2-xls-r-1b-ca
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  results:
19
+ - task:
20
  name: Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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  type: mozilla-foundation/common_voice_8_0
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  args: ca
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  metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 0.11030639657300516
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+ - name: Test CER
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+ type: cer
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+ value: 0.028405630530040634
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+ - task:
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  name: Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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  type: projecte-aina/parlament_parla
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  args: clean
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  metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 0.06483115660665961
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+ - name: Test CER
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+ type: cer
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+ value: 0.020212863746191828
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+ - task:
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  name: Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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  type: collectivat/tv3_parla
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  args: ca
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  metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 0.17917773414943988
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+ - name: Test CER
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+ type: cer
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+ value: 0.08872589572206396
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+ - task:
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  name: Speech Recognition
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  type: automatic-speech-recognition
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  dataset:
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  type: speech-recognition-community-v2/dev_data
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  args: ca
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  metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 0.27126683954209097
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+ - name: Test CER
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+ type: cer
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+ value: 0.14213308815078726
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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: ca
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+ metrics:
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+ - name: Test WER
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+ type: wer
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+ value: 18.7
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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
88
  should probably proofread and complete it, then remove this comment. -->