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Update README.md

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@@ -27,6 +27,8 @@ Finetuning was done using [MedNER](https://github.com/UPOD-datascience/MedNER.nl
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  We limited the training to the following languages: English, Dutch, French, German, Spanish, Italian, Danish, Swedish and Portuguese,
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  which are relatively close, in a linguistic sense, allowing for a languages to benefit from cross-over information.
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  ```bash
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  #!/usr/bin/env bash
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  set -euo pipefail
 
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  We limited the training to the following languages: English, Dutch, French, German, Spanish, Italian, Danish, Swedish and Portuguese,
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  which are relatively close, in a linguistic sense, allowing for a languages to benefit from cross-over information.
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+ The model was train in a multiclass-sense, using a cross-entropy loss. We replaced the standard 768-weight linear layer
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+ by 3x768 dense layers with 10\% dropout and ReLu activations.
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  ```bash
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  #!/usr/bin/env bash
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  set -euo pipefail