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  This is a multilingual clinical NER model extracting DRUG, STRENGTH, FREQUENCY, DURATION, DOSAGE and FORM entities from a medical text.
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  ## Evaluation Metrics on [MedNERF dataset](https://huggingface.co/datasets/Posos/MedNERF)
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  - Loss: 0.692
 
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  This is a multilingual clinical NER model extracting DRUG, STRENGTH, FREQUENCY, DURATION, DOSAGE and FORM entities from a medical text.
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+ It consist of XLM-R Base fine-tuned on n2c2 (English). It is the model that obtains the best results on our French evaluation test set [MedNERF](https://huggingface.co/datasets/Posos/MedNERF) in a zero-shot cross-lingual transfer setting.
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  ## Evaluation Metrics on [MedNERF dataset](https://huggingface.co/datasets/Posos/MedNERF)
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  - Loss: 0.692