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README.md
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metrics:
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- name: Test WER
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type: wer
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value:
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- name: Test CER
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type: cer
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value:
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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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type: cer
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value:
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---
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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 description
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-
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## Intended uses & limitations
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| 0.7931 | 26.66 | 800 | 0.2377 | 0.2298 |
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| 0.5364 | 39.98 | 1200 | 0.2210 | 0.1974 |
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### Framework versions
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metrics:
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- name: Test WER
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type: wer
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value: 17.57
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- name: Test CER
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type: cer
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value: 3.86
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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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type: cer
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value:
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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 description
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Note: another version of this model is available with a KenLM 3gram model. This model performs better than this model. See https://huggingface.co/RuudVelo/wav2vec2-large-xls-r-1b-cv8-mt-lm
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## Intended uses & limitations
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| 0.7931 | 26.66 | 800 | 0.2377 | 0.2298 |
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| 0.5364 | 39.98 | 1200 | 0.2210 | 0.1974 |
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Note that the test WER of 19.74 is different than the above reported 17.57. This was due to a bug which was found while processing files with an older version of the datasets library. The right library is listed below.
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### Framework versions
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