Update README.md

README.md

@@ -79,7 +79,7 @@ The model was trained on a curated dataset of **13 Million Khmer sentences** sou
 
 ### Why ALBERT for Khmer?
 
-By using **cross-layer parameter sharing**, this model achieves a hidden size of 768 (similar to BERT-base) but with only **~12M parameters**. This makes it significantly smaller and faster to load than standard BERT models while retaining strong linguistic representation capabilities.
+By using **cross-layer parameter sharing**, this model achieves a hidden size of 768 (similar to BERT-base) but with only **~9.42M parameters**. This makes it significantly smaller and faster to load than standard BERT models while retaining strong linguistic representation capabilities.
 
 ## Evaluation Results