Update README.md

README.md

@@ -8,8 +8,8 @@ license: mit
 # This model is based on Luke-japanese-base-lite
 This model was fine-tuned model which besed on studio-ousia/Luke-japanese-base-lite.
 This could be able to distinguish between positive and negative content.
-This model was fine-tuned by using Natsume Souseki's documents
-For example Kokoro, Bocchan and Sanshiro and so on...
+This model was fine-tuned by using Natsume Souseki's documents.
+For example Kokoro, Bocchan, Sanshiro and so on...
 
 # what is Luke?[1] 
 LUKE (Language Understanding with Knowledge-based Embeddings) is a new pre-trained contextualized representation of words and entities based on transformer. LUKE treats words and entities in a given text as independent tokens, and outputs contextualized representations of them. LUKE adopts an entity-aware self-attention mechanism that is an extension of the self-attention mechanism of the transformer, and considers the types of tokens (words or entities) when computing attention scores.