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biomedical-ner-all

Token Classification

Token Classification

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dreji18 commited on Jun 19, 2022

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@@ -21,9 +21,9 @@ Pathological examination revealed that the tumour also extensively involved the
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 ## About the Model
-An English Named Entity Recognition model, trained on _________ to recognize the bio-medical entities from a given text corpus (case reports etc.). This model was built on top of distilbert-base-uncased
-- Dataset :
 - Carbon emission : 0.0279399890043426 Kg
 - Training time : 30.16527 minute
 - GPU used : 1 x GeForce RTX 3060 Laptop GPU

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 ## About the Model
+An English Named Entity Recognition model, trained on Maccrobat to recognize the bio-medical entities from a given text corpus (case reports etc.). This model was built on top of distilbert-base-uncased
+- Dataset : Maccrobat https://figshare.com/articles/dataset/MACCROBAT2018/9764942
 - Carbon emission : 0.0279399890043426 Kg
 - Training time : 30.16527 minute
 - GPU used : 1 x GeForce RTX 3060 Laptop GPU