Update README.md

README.md

@@ -102,7 +102,7 @@ pipeline_tag: zero-shot-classification
 metrics:
 - accuracy
 ---
-# Zero-shot text classification (base-sized model) trained with self-supervised tuning
+# Zero-shot text classification (multilingual version) trained with self-supervised tuning
 
 Zero-shot text classification model trained with self-supervised tuning (SSTuning). 
 It was introduced in the paper [Zero-Shot Text Classification via Self-Supervised Tuning](https://arxiv.org/abs/2305.11442) by 
@@ -113,7 +113,6 @@ The model backbone is xlm-roberta-base.
 
 ## Model description
 
-
 The model is tuned with unlabeled data using a first sentence prediction (FSP) learning objective. 
 The FSP task is designed by considering both the nature of the unlabeled corpus and the input/output format of classification tasks.