Update README.md

README.md

@@ -64,7 +64,7 @@ We evaluated our ablation models using lm-evaluation-harness on two categories
  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="High-signal_new.png" alt="High-signal_new.png" style="width:1000px;"/>
+<img src="High_new_highRes.png" alt="High_new_highRes.png" style="width:1000px;"/>
                                         
 **Figure 3:**  High Signal Tasks — provide good signal at relatively small scale (of 1.4B models trained on 35B to 100B tokens)