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  metrics:
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  - wer
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  model-index:
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- - name: seq-xls-r-fleurs_nl-run2-asr_af-run12
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  results: []
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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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- # seq-xls-r-fleurs_nl-run2-asr_af-run12
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  This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_nl-run2](https://huggingface.co/lucas-meyer/xls-r-fleurs_nl-run2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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- - Loss: 0.4699
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- - Wer: 0.3791
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-
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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- More information needed
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- ## Training and evaluation data
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-
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- More information needed
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  ## Training procedure
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  metrics:
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  - wer
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  model-index:
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+ - name: seq-xls-r-fleurs_nl-run2-asr_af-run2
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  results: []
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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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+ # seq-xls-r-fleurs_nl-run2-asr_af-run2
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  This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_nl-run2](https://huggingface.co/lucas-meyer/xls-r-fleurs_nl-run2) on an unknown dataset.
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  It achieves the following results on the evaluation set:
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+ - Val WER: 0.3875
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+ - Test WER: 0.3866
 
 
 
 
 
 
 
 
 
 
 
 
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  ## Training procedure
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