Update README.md

README.md

@@ -34,7 +34,7 @@ Here is the aggregated performance of the models over several datasets.
 k=X means that as a training data, we took only X examples for each class, trained the model, and evaluated it on the full test set.
 
 | Model | k=1 | k=4 | k=16 | k=64 |
-|----------|----------|
+|----------|----------|----------|----------|----------|
 |   RoBERTa-base  |  24.5   |   44.7 | 58.1 | 65.4
 |   RoBERTa-base + NER-BERT pre-training | 32.3 | 50.9 | 61.9 | 67.6 |
 |   NuNER v1.0  |   39.4 | 59.6 | 67.8 | 71.5 |