Update README.md

README.md

@@ -127,7 +127,7 @@ All 3 models here are trained using the same configuration with differing FIM hy
 
 
 
-Here HumanEval-infilling is reported as Pass@10 with a temperature of 0.8 (such that 100 \* the score reported here = Pass@10 as a percentage), Lambada is reported as perplexity, and all other benchmarks report accuracy as a number between 0 and 1.
+Here HumanEval-infilling is reported as Pass@10 with a temperature of 0.8 (such that 100 times the score reported here = Pass@10 as a percentage), Lambada is reported as perplexity, and all other benchmarks report accuracy as a number between 0 and 1.
 
 
 These results are subject to change, but appear to indicate that AliBi with FIM does not enable infilling, while rotary positional embeddings do allow for infilling to be learned.