Update README.md

README.md

@@ -84,8 +84,8 @@ The following hyperparameters were used during training:
 | 3.69          | 0.97  | 3000 | 2.8778          | 0.1662 | 0.0237 | 0.1647 | 0.4694    |
 
 The mT5 model of google cannot be used for Korean although it is trained over 101 languages. Finetuning
-using very large data set by bongsoo/news_talk_en_ko still yield results of garbage. 
-Since GPU memories allowed for free use of colab is greatly limited, repeated fine-tunings are performed 
+using very large data set such as bongsoo/news_talk_en_ko still yield garbage. 
+Since GPU memories allowed for free use in colab are greatly limited, repeated fine-tunings for the split datasets are performed 
 to obtain better results. Theoretically, this might give better results. But actual attempts fail to yield 
 better results. Instead, the results become worse.  One should use other
 models like the ke-t5 by KETI(한국전자연구원).