Update README.md

README.md

@@ -18,14 +18,15 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.87
+      value: 0.877
 ---
 
 # distilbert-phmtweets-sutd
 
-This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on a custom tweet dataset that references public health mentions.
+This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) for text classification to identify public health events through tweets. The dataset was used in an [Emory University Study on Detection of Personal Health Mentions in Social Media](https://arxiv.org/pdf/1802.09130v2.pdf), with this [custom dataset](https://github.com/emory-irlab/PHM2017).
+
 It achieves the following results on the evaluation set:
-- Accuracy: 0.87
+- Accuracy: 0.877
 
 ## Usage