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@@ -74,11 +74,11 @@ Given than training models of size 7 Billion parameters require lot more compute
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  <img src="fig12.jpg" alt="fig12.jpg" style="width:1000px;"/>
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- **Figure7:** 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.
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  <img src="Fig18.png" alt="Fig18.png" style="width:1000px;"/>
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- **Figure 8:** Average evaluation score on High-Signal tasks versus the number of tokens at 7 Billion model size for 350 Billion tokens. The model trained on GneissWeb consistently outperforms the one trained on FineWeb.V1.1 throughout the training.
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  **Dataset Summary**
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  <img src="fig12.jpg" alt="fig12.jpg" style="width:1000px;"/>
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+ **Figure 5:** 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.
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  <img src="Fig18.png" alt="Fig18.png" style="width:1000px;"/>
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+ **Figure 6:** Average evaluation score on High-Signal tasks versus the number of tokens at 7 Billion model size for 350 Billion tokens. The model trained on GneissWeb consistently outperforms the one trained on FineWeb.V1.1 throughout the training.
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  **Dataset Summary**
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