Update README.md

README.md

@@ -103,4 +103,8 @@ img {
 
 | [![Model architecture](https://img.shields.io/badge/Model_Arch-Conformer--Transducer-lightgrey#model-badge)](#model-architecture)
 | [![Model size](https://img.shields.io/badge/Params-120M-lightgrey#model-badge)](#model-architecture)
-| [![Language](https://img.shields.io/badge/Language-rw-lightgrey#model-badge)](#datasets)
+| [![Language](https://img.shields.io/badge/Language-ru-lightgrey#model-badge)](#datasets)
+
+This model transcribes speech into lowercase Cyrillic alphabet including space, and is trained on around 1500 hours of Russian speech data.
+It is a non-autoregressive "large" variant of Conformer, with around 120 million parameters.
+See the [model architecture](#model-architecture) section and [NeMo documentation](https://docs.nvidia.com/deeplearning/nemo/user-guide/docs/en/main/asr/models.html#conformer-transducer) for complete architecture details.