Update README.md

README.md

@@ -62,7 +62,7 @@ We tuned learning rate and training epochs for each model and task following [th
 For tasks other than MARC-ja, the maximum length is short, so the attention_type was set to "original_full" and fine-tuning was performed for tasks other than MARC-ja. For MARC-ja, both "block_sparse" and "original_full" were used.
 
 | Model                         |MARC-ja(block_sparse)/acc | MARC-ja(original_full)/acc | JSTS/pearson | JSTS/spearman | JNLI/acc | JSQuAD/EM | JSQuAD/F1 | JComQA/acc |
-|-------------------------------|-------------|--------------|---------------|----------|-----------|-----------|------------|
+|-------------------------------|-------------|--------------|---------------|----------|-----------|-----------|------------|------------|
 | Waseda RoBERTa base           | - | 0.965       | 0.913        | 0.876         | 0.905    | 0.853     | 0.916     | 0.853      |
 | Waseda RoBERTa large (seq512) | - |0.969       | 0.925        | 0.890         | 0.928    | 0.910     | 0.955     | 0.900      |
 | BigBird base | 0.959 |0.959       | 0.888        | 0.846         | 0.896    | 0.884     | 0.933     | 0.787      |