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  **_This is a scaled-up version of the Masked Language Model (MLM) checkpoint used in our preprint for the completions task._**
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- Trained with larger dataset of multiple initial conditions per system, with mixed periods as well. 12 layers with 12 attention heads each.
 
 
 
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  *Panda*: Patched Attention for Nonlinear Dynamics.
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  **_This is a scaled-up version of the Masked Language Model (MLM) checkpoint used in our preprint for the completions task._**
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+ Trained with larger dataset of multiple initial conditions per system, with mixed periods as well.
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+ Specifically, using 8 out of the 16 initial conditions (ICs) per system that we provide in our [skew-mixedp-ic16 dataset](https://huggingface.co/datasets/GilpinLab/skew-mixedp-ic16).
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+ We trained this model for 800k iterations, with per-device batch size 384, across 6 AMD MI100X GPUs.
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+ *Panda*: Patched Attention for Nonlinear Dynamics.
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  *Panda*: Patched Attention for Nonlinear Dynamics.
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