Update README.md

README.md

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 # SEGA-large model
 
-SEGA: SkEtch-based Generative Augmentation
+**SEGA: SkEtch-based Generative Augmentation**
 
-SEGA is a general text augmentation model that can be used for data augmentation for various NLP tasks (including sentiment analysis, topic classification, NER, and QA). SEGA uses an encoder-decoder structure (based on the BART architecture) and is pre-trained on the C4-realnewslike corpus. 
+SEGA is a **general text augmentation model** that can be used for data augmentation for **various NLP tasks** (including sentiment analysis, topic classification, NER, and QA). SEGA uses an encoder-decoder structure (based on the BART architecture) and is pre-trained on the C4-realnewslike corpus. 
 
 - Paper: [this paper](to_be_added)
 - Github: [this repository](to_be_added).