Update README.md

README.md

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 ## AfriHuBERT: A self-supervised speech representation model for African languages
 
 ### Model description
-This is a compact multilingual self-supervised speech encoder based on facebook/hubert-large-ll60k. We performed continued pretraining through multilingual adaptive finetuning (MAFT) on over 10,000 hours of African language data aggregated from various sources. 
+This is a 300M+ parameter multilingual self-supervised speech encoder based on the English HuBERT-L model,  facebook/hubert-large-ll60k. We performed continued pretraining through multilingual adaptive finetuning (MAFT) on over 10,000 hours of African language data aggregated from various sources. 
 
 ### Pretraining data
-- Dataset: AfriHuBERT was trained on data from 11 major sources, including BibleTTS, Kallaama, MMS Ulab v2, NaijaVoices, and NCHLT. All sources and their licenses are shown in the table below. Please refer to the paper for more information. 
+- Dataset: AfriHuBERT-large was trained on data from 11 major sources, including BibleTTS, Kallaama, MMS Ulab v2, NaijaVoices, and NCHLT. All sources and their licenses are shown in the table below. Please refer to the paper for more information. 
 ![Logo](images/afrihuberts_sources.png)
 
 ### Language Coverage