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@@ -22,7 +22,7 @@ This llama model was trained 2x faster with [Unsloth](https://github.com/unsloth
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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  ### Evaluation
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- - **ViMMRC test set:** 0.8221 accuracy
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  ### Training results
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@@ -35,7 +35,7 @@ This llama model was trained 2x faster with [Unsloth](https://github.com/unsloth
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  | 1.240900 | 0.833031 | 1200 | 2.592396 |
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  | 1.069600 | 0.831216 | 1440 | 2.697354 |
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  | 0.860700 | 0.827586 | 1680 | 2.827819 |
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- | 0.767000 | 0.834846 | 1920 | 2.826283 |
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  | 0.677900 | 0.822142 | 2160 | 2.965557 |
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  | 0.594500 | 0.822142 | 2400 | 2.979151 |
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  | 0.514500 | 0.820327 | 2640 | 3.109596 |
 
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  [<img src="https://raw.githubusercontent.com/unslothai/unsloth/main/images/unsloth%20made%20with%20love.png" width="200"/>](https://github.com/unslothai/unsloth)
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  ### Evaluation
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+ - **ViMMRC test set:** 0.8385 accuracy
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  ### Training results
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  | 1.240900 | 0.833031 | 1200 | 2.592396 |
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  | 1.069600 | 0.831216 | 1440 | 2.697354 |
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  | 0.860700 | 0.827586 | 1680 | 2.827819 |
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+ | 0.767000 | 0.838475 | 1920 | 2.826283 |
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  | 0.677900 | 0.822142 | 2160 | 2.965557 |
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  | 0.594500 | 0.822142 | 2400 | 2.979151 |
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  | 0.514500 | 0.820327 | 2640 | 3.109596 |