Update README.md

README.md

@@ -229,7 +229,7 @@ library_name: transformers
 
 This is [DeBERTa-v3-base](https://hf.co/microsoft/deberta-v3-base) fine-tuned with multi-task learning on 560 tasks of the [tasksource collection](https://github.com/sileod/tasksource/)
 This checkpoint has strong zero-shot validation performance on many tasks (e.g. 70% on WNLI), and can be used for zero-shot NLI pipeline (similar to bart-mnli but better).
-You can also load other tasks (see next paragraph) or further fine-tune the encoder for new classification, token classification or multiple-choice tasks.
+You can also load other tasks (see next paragraph) or further fine-tune the encoder for new task (classification, token classification or multiple-choice).
 
 # Tasksource-adapters: 1 line access to 500 tasks