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@@ -238,8 +238,8 @@ For most of the task we used Accuracy, as they are framed as Multiple Choice que
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  ## **Results**
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- The model was evaluated using the LM Evaluation harness library from Eleuther AI. In order to reproduce our results please refer to our [fork](https://github.com/naiarapm/lm-evaluation-harness/tree/basqueglue) that includes the implementation for the mentioned datasets.
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  | Model | Size | XStory | Belebele | BasGLUE | EusProf | EusRead | EusTrivia | EusExams | Avg |
 
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  ## **Results**
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+ The model was evaluated using the LM Evaluation harness library from Eleuther AI.
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+ In order to reproduce our results please follow the instructions in Latxa's [Github repository](https://github.com/hitz-zentroa/latxa?tab=readme-ov-file#evaluation).
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  | Model | Size | XStory | Belebele | BasGLUE | EusProf | EusRead | EusTrivia | EusExams | Avg |