Update README.md

README.md

@@ -3,10 +3,6 @@ tags:
 - transformers
 - sentence-transformers
 - zeroshot_classifier
-datasets:
-- claritylab/UTCD
-language:
-- en
 ---
 
 # Zero-shot Vanilla Binary BERT 
@@ -18,7 +14,7 @@ The code for training and evaluating this model can be found [here](https://gith
 ## Model description
 
 This model was trained via the binary classification framework. It is intended for zero-shot text classification. 
-It was trained and evaluated as a baseline with the aspect-normalized [UTCD](https://huggingface.co/datasets/claritylab/UTCD) dataset. 
+It was trained as a baseline with the aspect-normalized [UTCD](https://huggingface.co/datasets/claritylab/UTCD) dataset. 
 
 - **Finetuned from model:** [`bert-base-uncased`](https://huggingface.co/bert-base-uncased)
 
@@ -47,4 +43,5 @@ You can use the model like this:
  [9.9996781e-01 3.2211588e-05]
  [9.9985993e-01 1.4002046e-04]
  [9.9976152e-01 2.3845369e-04]]
-```
+```
+