Update README.md

README.md

@@ -5,10 +5,10 @@ license: mit
 ## EQA-PMR-large
 EQA-PMR-large is initialized with [PMR-large](https://huggingface.co/DAMO-NLP-SG/PMR-large) and further fine-tuned on 6 Extractive Question Answering (EQA) training data from training split of [MRQA](https://aclanthology.org/D19-5801).
 
-The model performance on the in-dev sets are: 
+The model performance on the in-dev sets are:  
 
-||  SQuAD | NewsQA | HotpotQA | NaturalQuestions | TriviaQA | SearchQA|
-|--|------------|-----------|----------|--|
+||  SQuAD | NewsQA | HotpotQA | NaturalQuestions | TriviaQA | SearchQA |
+|--|-------|-------|-------|------------|--------|--------|
 |RoBERTa-large (single-task model)|  94.2 | 73.8 | 81.6|83.3| 85.1 | 85.7 |
 |PMR-large  (single-task model)|   94.5 | 74.0 | 83.6 | 83.8 | 85.1 | 88.3 | 
 |EQA-PMR-large  (multi-task model)|   94.2 | 73.7 | 66.9 | 82.3 | 85.4 | 88.7 |