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README.md
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@@ -164,8 +164,7 @@ Each model is trained on 100 billion tokens using the following hyperparameters:
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| Maximum Learning rate | 3e-4 |
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| Final Learning rate | 3e-5 |
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*For [OpenLLM-France/luciole-ablation-1B-en0.33-fr0.66](https://huggingface.co/OpenLLM-France/luciole-ablation-1B-en0.33-fr0.66), we added a warmup of 500 steps.
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### Compute Infrastructure
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Each model was trained on 64 H100 GPUs
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| Maximum Learning rate | 3e-4 |
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| Final Learning rate | 3e-5 |
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*For [OpenLLM-France/luciole-ablation-1B-en0.33-fr0.66](https://huggingface.co/OpenLLM-France/luciole-ablation-1B-en0.33-fr0.66) and [OpenLLM-France/luciole-ablation-1B-en0.80-fr0.20](https://huggingface.co/OpenLLM-France/luciole-ablation-1B-en0.80-fr0.20), we added a warmup of 500 steps.
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### Compute Infrastructure
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Each model was trained on 64 H100 GPUs
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