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README.md

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 ## Model Description
 
-SOBertBase is a 109M parameter BERT models trained on 27 billion tokens of SO data StackOverflow answer and comment text using the Megatron Toolkit. 
+SOBertBase is a 109M parameter BERT model trained on 27 billion tokens of SO data StackOverflow answer and comment text using the Megatron Toolkit. 
 
 SOBert is pre-trained with 19 GB data presented as 15 million samples where each sample contains an entire post and all its corresponding comments. We also include
 all code in each answer so that our model is bimodal in nature. We use a SentencePiece tokenizer trained with BytePair Encoding, which has the benefit over WordPiece of never labeling tokens as “unknown".