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@@ -18,7 +18,7 @@ Finetuning was done using [MedNER](https://github.com/UPOD-datascience/MedNER.nl
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  We limited the training to Dutch.
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- The model was trained in a multilabel-sense, using a binary cross-entropy loss per label, which followed the standard IOB-schema
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  (that is **O**utside the span, **B**eginning of the span, **I**nside the span)
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  We replaced the standard 768-weight linear layer by 3x768 dense layers with 10\% dropout and ReLu activations.
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  We limited the training to Dutch.
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+ The model was trained in a multiclass, using a cross-entropy loss, which followed the standard IOB-schema
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  (that is **O**utside the span, **B**eginning of the span, **I**nside the span)
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  We replaced the standard 768-weight linear layer by 3x768 dense layers with 10\% dropout and ReLu activations.
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