Update README.md

README.md

@@ -15,7 +15,7 @@ It was trained on nearly 60 000 hours of speech segments and covers 21 languages
 ## ASR fine-tuning
 The SpeechBrain toolkit (Ravanelli et al., 2021) is used to fine-tune the model.    
 Fine-tuning is done for each language using the FLEURS dataset [2].   
-The pretrained model (SSA-HuBERT-base-60k) is considered as a speech encoder and is fully fine-tuned with two 1024 linear layers and a softmax output at the top.
+The pretrained model (SSA-HuBERT-base-60k-V2) is considered as a speech encoder and is fully fine-tuned with two 1024 linear layers and a softmax output at the top.
  
 ## License
 This model is released under the CC-by-NC 4.0 conditions.