Update README.md

README.md

@@ -89,4 +89,4 @@ The model achieves the following results after tuning on GLUE tasks:
 |wnli  |acc       |0.4000           |**0.5042**                   |
 
 For both the original BERT and our model, we used the Hugging Face run_glue.py script [here](https://github.com/huggingface/transformers/tree/main/examples/pytorch/text-classification).
-For both models, we used the default fine-tuning hyperparameters and we averaged the results over five training seeds.
+For both models, we used the default fine-tuning hyperparameters and we averaged the results over five training seeds. These are the results for the GLUE dev sets, which can be a bit different than the results for the test sets.