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panda-72M

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@@ -8,7 +8,7 @@ This is a scaled-up version of the checkpoint originally presented in our prepri
 Trained with larger dataset of multiple initial conditions per system, with mixed periods as well.
 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)
-We trained this model with per-device batch size 384, across 6 AMD MI100X GPUs, for 800k iterations.
 *Panda*: Patched Attention for Nonlinear Dynamics.
 Paper abstract:

 Trained with larger dataset of multiple initial conditions per system, with mixed periods as well.
 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)
+We trained this model for 800k iterations, with per-device batch size 384, across 6 AMD MI100X GPUs.
 *Panda*: Patched Attention for Nonlinear Dynamics.
 Paper abstract: