Update README.md

README.md

@@ -8,11 +8,11 @@ This model is pre-trained on over 5 million English tweets about the 2020 US Pre
 
 # Training Objective
 
-This model is initialized with BERT-base and trained with normal MLM objective with classification layer fine-tuned for stance detection.
+This model is initialized with BERT-base and trained with normal MLM objective with classification layer fine-tuned for stance detection towards Joe Biden.
 
 # Usage
 
-This pre-trained language model is fine-tuned to the stance detection task.
+This pre-trained language model is fine-tuned to the stance detection task specifically for Joe Biden.
 
 Please see the [official repository](https://github.com/GU-DataLab/stance-detection-KE-MLM) for more detail.
 
@@ -25,7 +25,7 @@ import numpy as np
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
 
 # select mode path here
-pretrained_LM_path = "kornosk/bert-election2020-twitter-stance"
+pretrained_LM_path = "kornosk/bert-election2020-twitter-stance-biden"
 
 # load model
 tokenizer = AutoTokenizer.from_pretrained(pretrained_LM_path)