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  ---
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- language:
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  - bn
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  license: apache-2.0
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  tags:
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  - automatic-speech-recognition
 
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  - openslr_SLR53
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  - robust-speech-event
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  datasets:
@@ -16,7 +17,7 @@ metrics:
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  model-index:
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  - name: Tahsin-Mayeesha/wav2vec2-bn-300m
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  results:
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- - task:
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  type: automatic-speech-recognition
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  name: Speech Recognition
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  dataset:
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  name: Open SLR
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  args: SLR66
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  metrics:
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- - type: wer # Required. Example: wer
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- value: 0.31104373941386626 # Required. Example: 20.90
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- name: Test WER # Optional. Example: Test WER
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- - type: cer
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- value: 0.07263099973420006
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- name: Test CER
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- - type: wer # Required. Example: wer
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- value: 0.17776164652632478 # Required. Example: 20.90
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- name: Test WER with lm # Optional. Example: Test WER
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- - type: cer
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- value: 0.04394092712884769
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- name: Test CER with lm
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  ---
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the OPENSLR_SLR53 - bengali dataset.
 
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  ---
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+ language:
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  - bn
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  license: apache-2.0
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  tags:
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  - automatic-speech-recognition
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+ - hf-asr-leaderboard
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  - openslr_SLR53
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  - robust-speech-event
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  datasets:
 
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  model-index:
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  - name: Tahsin-Mayeesha/wav2vec2-bn-300m
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  results:
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+ - task:
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  type: automatic-speech-recognition
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  name: Speech Recognition
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  dataset:
 
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  name: Open SLR
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  args: SLR66
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  metrics:
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+ - type: wer
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+ value: 0.31104373941386626
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+ name: Test WER
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+ - type: cer
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+ value: 0.07263099973420006
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+ name: Test CER
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+ - type: wer
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+ value: 0.17776164652632478
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+ name: Test WER with lm
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+ - type: cer
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+ value: 0.04394092712884769
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+ name: Test CER with lm
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  ---
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  This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the OPENSLR_SLR53 - bengali dataset.