Update README.md

README.md

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 A BERT-based language model further pre-trained from the checkpoint of [SciBERT](https://huggingface.co/allenai/scibert_scivocab_uncased).
 The dataset gathered is a balance between scientific and general works in agriculture domain and encompassing knowledge from different areas of agriculture research and practical knowledge. 
 
-The corpus contains 1.3 million paragraphs from National Agricultural Library (NAL) from the US Gov. and 4.2 million paragraphs from books and common literature from the **Agriculture Domain**.
+The corpus contains 1.2 million paragraphs from National Agricultural Library (NAL) from the US Gov. and 5.3 million paragraphs from books and common literature from the **Agriculture Domain**.
 
 The self-supervised learning approach of MLM was used to train the model.
 - Masked language modeling (MLM): taking a sentence, the model randomly masks 15% of the words in the input then run