Update README.md

README.md

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 AIDO.Protein stands as the largest protein foundation model in the world to date, trained on 1.2 trillion amino acids sourced from UniRef90 and ColabFoldDB. 
 
-By leveraging MoE layers, AIDO.Protein efficiently scales to 16 billion parameters, delivering exceptional performance across a vast variety of tasks in protein sequence understanding and sequence generation. Remarkably, AIDO.Protein demonstrates exceptional capability despite being trained solely on single protein sequences. Across over 280 DMS protein fitness prediction tasks, our model outperforms previous state-of-the-art protein sequence models without MSA and achieves 99% of the performance of models that utilize MSA, , highlighting the strength of its learned representations.
+By leveraging MoE layers, AIDO.Protein efficiently scales to 16 billion parameters, delivering exceptional performance across a vast variety of tasks in protein sequence understanding and sequence generation. Remarkably, AIDO.Protein demonstrates exceptional capability despite being trained solely on single protein sequences. Across over 280 DMS protein fitness prediction tasks, our model outperforms previous state-of-the-art protein sequence models without MSA and achieves 99% of the performance of models that utilize MSA, highlighting the strength of its learned representations.
 
 ## Model Architecture Details
 AIDO.Protein is a transformer encoder-only architecture with the dense MLP layer in each transformer block replaced by a sparse MoE layer. It uses single amino acid tokenization and is optimized using a masked languange modeling (MLM) training objective. For each token, 2 experts will be selectively activated by the top-2 rounting mechiansim.