updated model description

Signed-off-by: Kunal Dhawan <kunaldhawan97@gmail.com>

README.md

@@ -266,7 +266,8 @@ img {
 </style>
 
 ## Description:
-NVIDIA NeMo Canary Flash [1] is a family of multilingual multi-tasking models based on Canary architecture [2] that achieves state-of-the art performance on multiple speech benchmarks. With 883 million parameters and running at more than 900 RTFx (on open-asr-leaderboard datasets), canary-1b-flash supports automatic speech-to-text recognition (ASR) in 4 languages (English, German, French, Spanish) and translation from English to German/French/Spanish and from German/French/Spanish to English with or without punctuation and capitalization (PnC). In addition to this, canary-1b-flash also supports functionality for word-level and segment-level timestamps for English, German, French, and Spanish. This model is released under the permissive CC-BY-4.0 license and is available for commercial use.
+NVIDIA NeMo Canary Flash [1] is a family of multilingual multi-tasking models based on Canary architecture [2] that achieve state-of-the-art performance on multiple speech benchmarks. With 883 million parameters and running at more than 900 RTFx (on open-asr-leaderboard datasets), canary-1b-flash supports automatic speech-to-text recognition (ASR) in four languages (English, German, French, Spanish) and translation from English to German/French/Spanish and from German/French/Spanish to English with or without punctuation and capitalization (PnC). Additionally, Canary-1B-Flash offers an experimental feature for word-level and segment-level timestamps in English, German, French, and Spanish.
+This model is released under the permissive CC-BY-4.0 license and is available for commercial use.
 
 
 ## Model Architecture:
@@ -576,7 +577,6 @@ F1-score on [Librispeech Test sets](https://www.openslr.org/12) at collar value
 |:-----------:|:---------:|:----------:|:----------:|
 | nemo-main       | canary-1b-flash |   95.5    |   93.5   |
 
-Note that this is an experimental feature currently and not recommended for production use cases. 
 
 ### Hallucination Robustness
 Number of characters per minute on [MUSAN](https://www.openslr.org/17) 48 hrs eval set