Update README.md

README.md

@@ -16,14 +16,15 @@ metrics:
 
 # Zero-shot Implicit Binary BERT 
 
-This model is a BERT model. 
+This is a BERT model. 
 It was introduced in the Findings of ACL'23 Paper **Label Agnostic Pre-training for Zero-shot Text Classification** by ***Christopher Clarke, Yuzhao Heng, Yiping Kang, Krisztian Flautner, Lingjia Tang and Jason Mars***. 
 The code for training and evaluating this model can be found [here](https://github.com/ChrisIsKing/zero-shot-text-classification/tree/master). 
 
 ## Model description
 
-This model was trained via the binary classification framework. It is intended for zero-shot text classification. 
-It was trained via implicit training with the aspect-normalized [UTCD](https://huggingface.co/datasets/claritylab/UTCD) dataset. 
+This model is intended for zero-shot text classification. 
+It was trained via the binary classification framework,
+via implicit training with the aspect-normalized [UTCD](https://huggingface.co/datasets/claritylab/UTCD) dataset. 
 
 - **Finetuned from model:** [`bert-base-uncased`](https://huggingface.co/bert-base-uncased)