Update README.md

README.md

@@ -22,11 +22,14 @@ tags:
 
 This model was pretrained from scratch on a custom vocabulary on Pubmed, Clinical trials corpus, and a small subset of Bookcorpus
 
-It was used to do NER as is, **with no fine-tuning** as described [in this post](https://ajitrajasekharan.github.io/2021/01/02/my-first-post.html)
+It was used to do NER as is, **with no fine-tuning** as described [in this post](https://ajitrajasekharan.github.io/2021/01/02/my-first-post.html).  [Towards Data Science review](https://twitter.com/TDataScience/status/1486300137366466560?s=20) 
 
-[Towards Data Science link](https://twitter.com/TDataScience/status/1486300137366466560?s=20) to the same post
-
-[Github link](https://github.com/ajitrajasekharan/unsupervised_NER) to NER using this model in an ensemble with bert-base cased to detect 69 entity types (17 broad entity groups)
+[Github link](https://github.com/ajitrajasekharan/unsupervised_NER) to perform NER using this model in an ensemble with bert-base cased to detect 69 entity types (17 broad entity groups)
 
  <img src="https://ajitrajasekharan.github.io/images/1.png" width="600">
+ 
+**Ensemble model performance**
+
+ <img src="https://ajitrajasekharan.github.io/images/6.png" width="600">
+