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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_zu-run3-asr_xh-run7-LM
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results: []
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datasets:
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- lucas-meyer/asr_xh
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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_zu-run3-asr_xh-run7-LM
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This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_zu-run3](https://huggingface.co/lucas-meyer/xls-r-fleurs_zu-run3) on asr_xh with an added LM (5-gram Kneser-Ney).
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It achieves the following results:
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- Wer (Validation): 40.11%
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- Wer (Test): 40.51%
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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_zu-run3-asr_xh-run7-with-LM
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results: []
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datasets:
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- lucas-meyer/asr_xh
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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_zu-run3-asr_xh-run7-with-LM
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This model is a fine-tuned version of [lucas-meyer/xls-r-fleurs_zu-run3](https://huggingface.co/lucas-meyer/xls-r-fleurs_zu-run3) on the asr_xh with an added LM (5-gram Kneser-Ney).
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It achieves the following results:
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- Wer (Validation): 40.11%
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- Wer (Test): 40.51%
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