wasertech commited on
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b434b2a
1 Parent(s): 2bac61c

update custom message

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  1. constants.py +4 -2
constants.py CHANGED
@@ -101,9 +101,11 @@ CUSTOM_MESSAGE = """## Legend:
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  This space is a fork of the original [hf-audio/open_asr_leaderboard](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard). It aims to demonstrate how the CommonVoice Test Set provides a relatively accurate approximation of the average WER/CER (Word Error Rate/Character Error Rate) at a significantly lower computational cost.
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  #### Why is this useful?
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- This space offers a way to achieve standardized test set for most languages, enabling us to programmatically select a reasonably effective model for any language supported by CommonVoice.
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- Model, RTF (1e-3) ⬇️, and Average WER ⬇️ were sourced from [hf-audio/open_asr_leaderboard](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard) using the version from September 7, 2023.
 
 
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  ### Results
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  The CommonVoice Test provides a Word Error Rate (WER) within a 20-point margin of the average WER.
 
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  This space is a fork of the original [hf-audio/open_asr_leaderboard](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard). It aims to demonstrate how the CommonVoice Test Set provides a relatively accurate approximation of the average WER/CER (Word Error Rate/Character Error Rate) at a significantly lower computational cost.
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  #### Why is this useful?
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+ This opens way the to achieve standardized test set for most languages, enabling us to programmatically select a reasonably effective model for any language supported by CommonVoice.
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+ Columns `Model`, `RTF`, and `Average WER` were sourced from [hf-audio/open_asr_leaderboard](https://huggingface.co/spaces/hf-audio/open_asr_leaderboard) using the version from September 7, 2023.
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+
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+ Models are sorted by consistancy in there results across testset. (by increasing order of absolute delta between average WER and CommonVoice WER)
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  ### Results
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  The CommonVoice Test provides a Word Error Rate (WER) within a 20-point margin of the average WER.