Update README.md

README.md

@@ -292,7 +292,7 @@ pipeline_tag: zero-shot-classification
 
 # Model Card for DeBERTa-v3-small-tasksource-nli
 
-This is [DeBERTa-v3-base](https://hf.co/microsoft/deberta-v3-small) fine-tuned with multi-task learning on 600+ tasks of the [tasksource collection](https://github.com/sileod/tasksource/).
+This is [DeBERTa-v3-small](https://hf.co/microsoft/deberta-v3-small) fine-tuned with multi-task learning on 600+ tasks of the [tasksource collection](https://github.com/sileod/tasksource/).
 This checkpoint has strong zero-shot validation performance on many tasks, and can be used for:
 - Zero-shot entailment-based classification for arbitrary labels [ZS].
 - Natural language inference [NLI]
@@ -344,7 +344,7 @@ trainer.train()
 ```
 
 ## Evaluation
-This model ranked 1st among all models with the microsoft/deberta-v3-base architecture according to the IBM model recycling evaluation.
+This the base equivalent of this model was ranked 1st among all models with the microsoft/deberta-v3-base architecture according to the IBM model recycling evaluation.
 https://ibm.github.io/model-recycling/
 
 ### Software and training details