Update README.md

README.md

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 We introduce WhisperNER, a novel model that allows joint speech transcription and entity recognition. 
 WhisperNER supports open-type NER, enabling recognition of diverse and evolving entities at inference. The WhisperNER model is designed as a strong base model for the downstream task of ASR with NER, and can be fine-tuned on specific datasets for improved performance.
 
-**NOTE:** This model also support entity masking directly on the output transcript, especially relevant for PII use cases.
+**NOTE:** This model also support entity masking directly on the output transcript, especially relevant for PII use cases. However, the model was not trained on PII specific datasets, hence can perform general and open type entity masking, 
+        but **it should be further funetuned in order to be used for PII tasks**.
+
 
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