Update README.md

README.md

@@ -20,7 +20,7 @@ This model is fine-tuned for detecting strong and weak emotions in Chinese text
 
 ## Model Description
 
-The model is based on `bert-base-chinese` and fine-tuned for sequence classification with two labels: `weak` (0) and `strong` (1) emotion. The model was trained for one epoch using a dataset of ~125k comments from Douban, a Chinese social networking service, and achieved 87.9% accuracy on a held-out test set (10k comments). The comments were at least 200-character long.
+The model is based on `bert-base-chinese` and fine-tuned for sequence classification with two labels: `weak` (0) and `strong` (1) emotion. The model was trained for one epoch using a dataset of ~125k comments from Douban, a Chinese social networking service, and achieved 87.9% accuracy on a held-out test set (10k comments). The comments were at least 200-character long; those with 1 or 5 stars were labeled "strong," those with 3 stars "weak."
 
 ## Usage