Update README.md

README.md

@@ -47,7 +47,7 @@ We evaluated our ablation models using lm-evaluation-harness on two categories
 
     **High-Signal tasks:**
 
-It is important to identify benchmarks that provide good signal at this relatively small scale. Similar to FineWeb, we used the following criteria for selecting the 11 High-Signal/Early-Signal tasks: accuracy above random guessing, accuracy monotonically increasing over training epochs, and small variance across runs. These are shown in Fig 3 and cover Commonsense Reasoning, Reading Comprehension, World Knowledge and Language Understanding task categories.  We used both the zero-shot as well as few-shot variations of these tasks.   
+ Similar to FineWeb, we used the following criteria for selecting the 11 High-Signal/Early-Signal tasks: accuracy above random guessing, accuracy monotonically increasing over training epochs, and small variance across runs. These are shown in Fig 3 and cover Commonsense Reasoning, Reading Comprehension, World Knowledge and Language Understanding task categories.  We used both the zero-shot as well as few-shot variations of these tasks.   
 
   
 <img src="HighSignal.png" alt="HighSignal.png" style="width:1000px;"/>