Update README.md

README.md

@@ -116,7 +116,7 @@ At 3 Billion model size, models trained on GneissWeb outperform those trained on
 **Figure 11:** Average evaluation score on High-Signal tasks versus the number of tokens at 3 Billion model size for 100 Billion tokens. The model trained on GneissWeb consistently outperforms the one trained on FineWeb.V1.1 throughout the training.
 This gain further increases at 7 Billion model size, models trained on GneissWeb outperform those trained on FineWeb.V1.1 by 2.04 percent points in terms of the average score computed on a set of 11 High-signal benchmarks (both zero-shot and few-shot), and 1.32 percent points on Extended benchmarks (both zero-shot and few-shot).
 
-<img src="fig12.jpg" alt="fig12.jpg" style="width:1400px;"/>
+<img src="fig12.jpg" alt="fig12.jpg" style="width:1000px;"/>
 
 **Figure 12:**  Comparison of Average Eval Scores on High Signal and Extended Eval Tasks at 7B model size.  Scores are averaged over 3 random seeds used for data sampling and are reported along with standard deviations.