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README.md
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---
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- google/fleurs
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metrics:
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- wer
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model-index:
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- name:
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results:
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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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# wav2vec2-Irish-common-voice-Fleurs-living-audio-300m
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language: ga
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datasets:
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- common_voice
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- google/fleurs
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- living_audio_irish
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metrics:
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- wer
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tags:
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- audio
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- automatic-speech-recognition
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- ga-IE
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- speech
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- Irish
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model-index:
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- name: Wav2vec 2.0 300m XLS-R
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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 10.0, google/fleurs
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type: common_voice
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args: ga-IE, ga_ie
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metrics:
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- name: Test WER (Without LM)
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type: wer
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value: 19.98
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- name: Test WER (With LM)
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type: wer
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value: 13.87
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- name: Common Voice Irish Invalidated 281 utterances (Without LM)
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type: wer
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value: 39.19
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- name: Common Voice Irish Invalidated 281 utterances (With LM)
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type: wer
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value: 30.85
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---
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# wav2vec2-Irish-common-voice-Fleurs-living-audio-300m
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