Update README.md

README.md

@@ -87,13 +87,13 @@ The following tables summarize the scores obtained by the **GPT2-CosmosQA**.The
 
 |      Model      |  Dev Acc | Test Acc  | 
 |:---------------:|:-----:|:-----:|
-| BERT-FT Multiway| 68.3.| 68.4  |
+| BERT-FT Multiway*| 68.3.| 68.4  |
 |  GPT-FT   *    |  54.0 | 54.4. |
 | GPT2-CosmosQA  | 60.3 | 59.7 | 
 
 ##Inference
 
-This project was mainly dedicated to test the  common sense understanding of the  GPT2-model.We used a Dataset known as CosmosQ requires reasoning beyond the exact text spans in the context.The above results shows that even so GPT2 model is a model that was pre-trained to predict the next word it can remember long term dependencies 
+This project was mainly dedicated to test the  common sense understanding of the  GPT2-model.We used a Dataset known as CosmosQ requires reasoning beyond the exact text spans in the context.The above results shows that GPT2 model is doing better than  some of the base line models given that  it used a causal language modeling (CLM) objective .
 
 
 ## Credits