Update README.md

README.md

@@ -95,5 +95,5 @@ The model achieves the following results without any fine-tuning (zero-shot):
 |arc_challenge|acc/acc_norm|0.1903/0.2270        |0.1997/0.2329             |0.4132/0.6256                      |
 
 To get these results, we used the Eleuther AI evaluation harness [here](https://github.com/EleutherAI/lm-evaluation-harness),
-which can produce results a little different than those reported in the GPT2 paper. The p-values come from the stderr from the evaluation harness, plus a normal distribution assumption.
+which can produce results different than those reported in the GPT2 paper. The p-values come from the stderr from the evaluation harness, plus a normal distribution assumption.
 We chose these 20 tasks, because they are the tasks that the GPT2 and GPT3 papers report results for.