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NLP-CIC-WFU_SocialDisNER_fine_tuned_NER_EHR_Spanish_model_Mulitlingual_BERT_v2

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ajtamayoh commited on Nov 10, 2022

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@@ -22,7 +22,7 @@ should probably proofread and complete it, then remove this comment. -->
 # NLP-CIC-WFU_SocialDisNER_fine_tuned_NER_EHR_Spanish_model_Mulitlingual_BERT_v2
-This model is a fine-tuned version of [ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT](https://huggingface.co/ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1483
 - Precision: 0.8699
@@ -36,7 +36,7 @@ For a complete description of our system, please go to: https://aclanthology.org
 ## Training and evaluation data
-More information needed
 ## Training procedure

 # NLP-CIC-WFU_SocialDisNER_fine_tuned_NER_EHR_Spanish_model_Mulitlingual_BERT_v2
+This model is a fine-tuned version of [ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT](https://huggingface.co/ajtamayoh/NER_EHR_Spanish_model_Mulitlingual_BERT) on the dataset provided by SocialDisNER shared task, it is available at: https://temu.bsc.es/socialdisner/category/data/.
 It achieves the following results on the evaluation set:
 - Loss: 0.1483
 - Precision: 0.8699
 ## Training and evaluation data
+Dataset provided by SocialDisNER shared task, it is available at: https://temu.bsc.es/socialdisner/category/data/.
 ## Training procedure