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README.md
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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-
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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-
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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
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It achieves the following results on the evaluation set:
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## Model description
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More information needed
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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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More information needed
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## Training procedure
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### Training hyperparameters
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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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-run7
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results: []
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datasets:
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- lucas-meyer/asr_af
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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-run7
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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 asr_af.
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It achieves the following results on the evaluation set:
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- Val WER: 0.3672
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- Test WER: 0.3716
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### Training hyperparameters
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- Transformers 4.28.0
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.4
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- Tokenizers 0.13.3
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