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README.md
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- pytorch
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model-index:
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- name: stt_zgh_fastconformer_ctc_small
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results:
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pipeline_tag: automatic-speech-recognition
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---
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## Model Overview
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## Performance
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OR
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USE THE Hugging Face Evaluate LiBRARY TO UPLOAD METRICS>
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## Limitations
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- pytorch
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model-index:
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- name: stt_zgh_fastconformer_ctc_small
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results:
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- task:
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice 17.0
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type: mozilla-foundation/common_voice_17_0
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config: zgh
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split: test
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args:
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language: zgh
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metrics:
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- name: Test WER
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type: wer
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value: 71.88
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- task:
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice 17.0
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type: mozilla-foundation/common_voice_17_0
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config: zgh
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split: test
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args:
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language: zgh
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metrics:
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- name: Test CER
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type: cer
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value: 25.02
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- task:
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice 17.0
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type: mozilla-foundation/common_voice_17_0
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config: kab
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split: test
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args:
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language: kab
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metrics:
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- name: Test WER
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type: wer
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value: 38.21
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- task:
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type: Automatic Speech Recognition
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name: automatic-speech-recognition
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dataset:
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name: Mozilla Common Voice 17.0
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type: mozilla-foundation/common_voice_17_0
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config: kab
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split: test
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args:
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language: kab
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metrics:
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- name: Test CER
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type: cer
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value: 14.41
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metrics:
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- wer
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- cer
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pipeline_tag: automatic-speech-recognition
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---
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## Model Overview
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## Performance
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Metrics are computed on the cleaned, non-punctuated test sets of *zgh* and *kab* (converted to Tifinagh).
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## Limitations
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