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--- |
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library_name: transformers |
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license: apache-2.0 |
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datasets: |
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- SmallDoge/SmallCorpus |
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language: |
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- en |
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- zh |
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pipeline_tag: text-generation |
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--- |
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# **Doge 40M checkpoint** |
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Doge uses `wsd_scheduler` as the training scheduler, which divides the learning rate into three stages: `warmup`, `stable`, and `decay`. It allows us to continue training on any new dataset from any checkpoint in the `stable stage` without spikes in training. |
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Here are the initial learning rates required to continue training at each checkpoint: |
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- **[Doge-40M](https://huggingface.co/SmallDoge/Doge-40M-checkpoint): 8e-3** |
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- [Doge-40M-MoE](https://huggingface.co/SmallDoge/Doge-40M-MoE-checkpoint): 8e-3 |
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| Model | Learning Rate | Schedule | Warmup Steps | Stable Steps | |
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|-------|---------------|----------|--------------|--------------| |
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| [Doge-40M](https://huggingface.co/SmallDoge/Doge-40M-checkpoint) | 8e-3 | wsd_scheduler | 2000 | 4000 | |
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| [Doge-40M-MoE](https://huggingface.co/SmallDoge/Doge-40M-MoE-checkpoint) | 8e-3 | wsd_scheduler | 2000 | 4000 | |
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