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@@ -42,9 +42,8 @@ After fine-tuning on 25K samples of Dutch CNN summarization, the Rouge1 score is
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  The model uses an uncased SentencePiece tokenizer configured with the `Nmt, NFKC, Replace multi-space to single-space, Lowercase` normalizers
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  and has 32003 tokens.
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- It was trained on Dutch
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- with scripts from the Huggingface Transformers [Flax examples](https://github.com/huggingface/transformers/tree/master/examples/flax/language-modeling).
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- See [https://huggingface.co/yhavinga/t5-v1.1-base-dutch-uncased/raw/main/tokenizer.json](tokenizer.json) for details.
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  ## Dataset
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  The model uses an uncased SentencePiece tokenizer configured with the `Nmt, NFKC, Replace multi-space to single-space, Lowercase` normalizers
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  and has 32003 tokens.
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+ It was trained on Dutch with scripts from the Huggingface Transformers [Flax examples](https://github.com/huggingface/transformers/tree/master/examples/flax/language-modeling).
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+ See [./raw/main/tokenizer.json](tokenizer.json) for details.
 
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  ## Dataset
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