Update README.md

README.md

@@ -5,4 +5,11 @@ datasets:
 language:
 - en
 pipeline_tag: token-classification
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+---
+Another name for this model is sciDeBERta v2[1].
+This model is trained from scratch using S2ORC dataset(260GB), which include abstract, body text of papers, on DeBERTa v2. 
+This model achieves the SOTA in NET of SciERC dataset. 
+From this model, MediBioDeBERTa, which continuously leaned from scidebert v2. to medibiodeberta using the data from the domain (bio, medical, chemistry domain data)
+and additional intermediate fine-tuning for specific blurb benchmark tasks, achieve the 11 rank in the BLURB benchmark. 
+
+[1] Eunhui Kim, Yuna Jeong, Myung-seok Choi, "MediBioDeBERTa: BioMedical Language Model with Continous Learning and Intermediate Fine-Tuning, Dec. 2023, IEEE Access"