Updated model card with information about Hybrid training

README.md

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 This model transcribes speech in upper and lower case German alphabet along with spaces, periods, commas, and question marks.
-It is a "large" version of FastConformer Transducer-CTC (around 115M parameters) model.  
+It is a "large" version of FastConformer Transducer-CTC (around 115M parameters) model. This is a hybrid model trained on two losses: Transducer (default) and CTC.
 See the [model architecture](#model-architecture) section and [NeMo documentation](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/models.html#fast-conformer) for complete architecture details.
 
 ## NVIDIA NeMo: Training