Update README.md

README.md

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 # Model Card for DeBERTa-v3-base-tasksource-nli
 
 DeBERTa-v3-base fine-tuned with multi-task learning on 520 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.
+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 further fine-tune this model to use it for any classification or multiple-choice task.
 The untuned model CLS embedding also has strong linear probing performance (90% on MNLI), due to the multitask training.