Update README.md

README.md

@@ -273,7 +273,7 @@ This is [DeBERTa-v3-base](https://hf.co/microsoft/deberta-v3-base) fine-tuned wi
 This checkpoint has strong zero-shot validation performance on many tasks (e.g. 70% on WNLI), and can be used for:
 - Natural language inference, and many other tasks with tasksource-adapters, see [TA]
 - Zero-shot entailment-based classification pipeline (similar to bart-mnli), see [ZS].
-- Further fine-tune for new task (classification, token classification or multiple-choice).
+- Further fine-tuning with a new task (classification, token classification or multiple-choice).
 
 # [ZS] Zero-shot classification pipeline
 ```python