Update README.md (#1)

- Update README.md (df23ef4cb7ab63453bc89bcc53a6e634d91664b9)


Co-authored-by: Elodie Gauthier <gauthelo@users.noreply.huggingface.co>

README.md

@@ -4,7 +4,7 @@ license: cc-by-nc-4.0
 
 
 ## Model description
-This self-supervised speech model (a.k.a. SSA-HuBERT-base-60k-V2) is based on a HuBERT Base architecture (~95M params) [1].   
+This self-supervised speech model (a.k.a. SSA-HuBERT-XL-60k) is based on a HuBERT X-Large architecture (~964M params) [1].   
 It was trained on nearly 60 000 hours of speech segments and covers 21 languages and variants spoken in Sub-Saharan Africa. 
 	
 ### Pretraining data
@@ -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-XL-60k) 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.