Update README.md

README.md

@@ -31,6 +31,8 @@ model-index:
 
 # Ukrainian STT model (with Language Model)
 
+🇺🇦 Join Ukrainian Speech Recognition Community - https://t.me/speech_recognition_uk
+
 Have a look on the better model with more parameters: https://huggingface.co/Yehor/wav2vec2-xls-r-1b-uk-with-lm
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_7_0 - UK dataset.
@@ -41,21 +43,19 @@ It achieves the following results on the evaluation set:
 
 The above results present evaluation without the language model.
 
-Follow our community in Telegram: https://t.me/speech_recognition_uk 
-
 ## Model description
 
 On 100 test example the model shows the following results:
 
 Without LM:
 
-- WER: 0.2647058823529412
-- CER: 0.046974185357596274
+- WER: 0.2647
+- CER: 0.0469
 
 With LM:
 
-- WER: 0.1568627450980392
-- CER: 0.028988573846804908
+- WER: 0.1568
+- CER: 0.0289
 
 
 ## Training procedure