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@@ -72,17 +72,12 @@ We build the Doge by doing Per-Training on [Smollm-Corpus](https://huggingface.c
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  | [Doge-20M](https://huggingface.co/SmallDoge/Doge-20M) | 25.4 | 0.03 | 29.8 | 58.4 | 27.3 | 25.6 | 50.2 | 142 |
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  | [Doge-60M](https://huggingface.co/SmallDoge/Doge-60M) | 26.4 | 0.2 | 37.9 | 61.4 | 31.5 | 28.0 | 50.8 | 62 |
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  | [Doge-160M](https://huggingface.co/SmallDoge/Doge-160M) | 29.2 | 4.8 | 44.4 | 70.1 | 43.4 | 34.4 | 52.2 | 28 |
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- | [Doge-320M](https://huggingface.co/SmallDoge/Doge-320M) | 33.8 | 9.4 | 52.1 | 73.9 | 52.7 | 37.9 | 55.3 | 16 |
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- > [!NOTE]
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- > All evaluations are done using five-shot settings, without additional training on the benchmarks.
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  **Procedure**:
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/loser_cheems/huggingface/runs/3uyc9a89)
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  **Environment**:
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  - Image: nvcr.io/nvidia/pytorch:24.12-py3
 
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  | [Doge-20M](https://huggingface.co/SmallDoge/Doge-20M) | 25.4 | 0.03 | 29.8 | 58.4 | 27.3 | 25.6 | 50.2 | 142 |
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  | [Doge-60M](https://huggingface.co/SmallDoge/Doge-60M) | 26.4 | 0.2 | 37.9 | 61.4 | 31.5 | 28.0 | 50.8 | 62 |
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  | [Doge-160M](https://huggingface.co/SmallDoge/Doge-160M) | 29.2 | 4.8 | 44.4 | 70.1 | 43.4 | 34.4 | 52.2 | 28 |
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+ | [Doge-320M](https://huggingface.co/SmallDoge/Doge-320M) | 35.6 | 9.4 | 55.4 | 73.9 | 52.7 | 37.9 | 59.3 | 16 |
 
 
 
 
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  **Procedure**:
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  [<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="150" height="24"/>](https://wandb.ai/loser_cheems/huggingface/runs/3uyc9a89)
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  **Environment**:
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  - Image: nvcr.io/nvidia/pytorch:24.12-py3