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@@ -18,3 +18,17 @@ This model is then further pre-trained on 5 million cardiology records from the
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  model collapse, trained on 1024 maximal sequence length and linear decay with warmup, for about 1 epoch.
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  The perplexity was around 4 on the validation set.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  model collapse, trained on 1024 maximal sequence length and linear decay with warmup, for about 1 epoch.
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  The perplexity was around 4 on the validation set.
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+ If you use this model please cite with
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+
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+ ```bibtex
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+ @misc{vanes2026languagecorporadutchmedical,
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+ title={Language corpora for the Dutch medical domain},
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+ author={B. van Es},
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+ year={2026},
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+ eprint={2604.25374},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2604.25374},
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+ }
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+ ```