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@@ -31,8 +31,8 @@ With these datasets, we achieve the following scores on the JGLUE benchmark:
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  | jnli-1.1-0.3 | 0.504 | 0.48 |
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  | marc_ja-1.1-0.3 | 0.936 | 0.959 |
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- We achieved these scores by using the [lm-evaluation-harness](https://github.com/Stability-AI/lm-evaluation-harness) from Stability AI.
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  ```bash
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  MODEL_ARGS=pretrained=lightblue/openorca_stx,use_accelerate=True
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  TASK="jsquad-1.1-0.3,jcommonsenseqa-1.1-0.3,jnli-1.1-0.3,marc_ja-1.1-0.3"
 
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  | jnli-1.1-0.3 | 0.504 | 0.48 |
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  | marc_ja-1.1-0.3 | 0.936 | 0.959 |
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+ We achieved these scores by using the [lm-evaluation-harness](https://github.com/Stability-AI/lm-evaluation-harness) from Stability AI using the below commands:
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  ```bash
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  MODEL_ARGS=pretrained=lightblue/openorca_stx,use_accelerate=True
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  TASK="jsquad-1.1-0.3,jcommonsenseqa-1.1-0.3,jnli-1.1-0.3,marc_ja-1.1-0.3"