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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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- HuggingFaceTB/smollm-corpus |
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language: |
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- en |
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pipeline_tag: text-generation |
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--- |
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# **Doge 160M 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 of the training. |
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Here are the initial learning rates required to continue training at each checkpoint: |
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- **[Doge-20M](https://huggingface.co/SmallDoge/Doge-20M-checkpoint)**: 8e-3 |
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- **[Doge-60M](https://huggingface.co/SmallDoge/Doge-60M-checkpoint)**: 6e-3 |
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- **[Doge-160M](https://huggingface.co/SmallDoge/Doge-160M-checkpoint)**: 4e-3 |
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- **[Doge-320M](https://huggingface.co/SmallDoge/Doge-320M-checkpoint)**: 2e-3 |
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| Model | Learning Rate | Schedule | Warmup Steps | Stable Steps | |
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|-------|---------------|----------|--------------|--------------| |
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| [Doge-20M](https://huggingface.co/SmallDoge/Doge-20M-checkpoint) | 8e-3 | wsd_scheduler | 800 | 6400 | |
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| [Doge-60M](https://huggingface.co/SmallDoge/Doge-60M-checkpoint) | 6e-3 | wsd_scheduler | 1600 | 12800 | |
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| [Doge-160M](https://huggingface.co/SmallDoge/Doge-160M-checkpoint) | 4e-3 | wsd_scheduler | 2400 | 19200 | |
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| [Doge-320M](https://huggingface.co/SmallDoge/Doge-320M-checkpoint) | 2e-3 | wsd_scheduler | 3200 | 25600 | |
