Update README.md

README.md

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 **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).
 
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 **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.
 
 **Figure 13:** Average evaluation score on High-Signal tasks versus the number of tokens at 7 Billion model size for 100 Billion tokens. The model trained on GneissWeb consistently outperforms the one trained on FineWeb.V1.1 throughout the training.