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@@ -127,3 +127,8 @@ A batch size of 1536 was used.
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  ## Evaluation results
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  When fine-tuned on downstream tasks, this model achieves the following results:
 
 
 
 
 
 
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  ## Evaluation results
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  When fine-tuned on downstream tasks, this model achieves the following results:
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+ | rank | da_rank | no_rank | sv_rank | dansk | angry_tweets | scala_da | scandiqa_da | norne_nb | norne_nn | norec | scala_nb | scala_nn | norquad | suc3 | swerec | scala_sv | scandiqa_sv |
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+ |-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|-|
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+ | 1.3 | 1.33 | 1.34 | 1.23 | 74.16 | 51.2 | 73.87 | 49.34 | 92.01 | 87.17 | 60.11 | 72.85 | 65.56 | 60.38 | 82.65 | 77.25 | 77.9 | 49.64 |
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+ As by (2024/03/26) it is ranked #2 after GPT-4.