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@@ -41,9 +41,9 @@ Our main result
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  ![main_result.png](https://cdn-uploads.huggingface.co/production/uploads/62a8501e1c396da5716cfca2/MZw0c4TAnRPYNVdhru7Uo.png)
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  <p align="center">
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- *Performance of Lugha-Llama models and baselines on <a href="https://arxiv.org/abs/2406.03368"> [IrokoBench]</a>. Languages in italic
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  are not present in the continual pre-training data. †: We exclude the high-resource languages English (eng) and French (fra) from the average,
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- as they would otherwise skew the results due to strong English base models.*
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  </p>
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  ![main_result.png](https://cdn-uploads.huggingface.co/production/uploads/62a8501e1c396da5716cfca2/MZw0c4TAnRPYNVdhru7Uo.png)
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  <p align="center">
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+ <em>Performance of Lugha-Llama models and baselines on <a href="https://arxiv.org/abs/2406.03368"> [IrokoBench]</a>. Languages in italic
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  are not present in the continual pre-training data. †: We exclude the high-resource languages English (eng) and French (fra) from the average,
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+ as they would otherwise skew the results due to strong English base models.</em>
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  </p>
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