Update README.md

README.md

@@ -223,7 +223,7 @@ library_name: transformers
 
 # Model Card for DeBERTa-v3-large-tasksource-nli
 
-DeBERTa-v3-large fine-tuned with multi-task learning on 520 tasks of the [tasksource collection](https://github.com/sileod/tasksource/)
+DeBERTa-v3-large fine-tuned with multi-task learning on 600 tasks of the [tasksource collection](https://github.com/sileod/tasksource/)
 You can further fine-tune this model to use it for any classification or multiple-choice task.
 This checkpoint has strong zero-shot validation performance on many tasks (e.g. 77% on WNLI).
 The untuned model CLS embedding also has strong linear probing performance (90% on MNLI), due to the multitask training.