---
license: cc-by-4.0
datasets:
- deinal/spacecast-data
tags:
- space
- plasma
- physics
---

# Models Pretrained on the Vlasiator Dataset for Ion-kinetic Plasma Emulation

The models have been produced using [spacecast](https://github.com/fmihpc/spacecast). The repository contains the following:
```
model_weights/
├── forecasts/                    - Directory containing example forecasts for each run
├── metrics/                      - Evaluation metrics for each model variation in csv format
├── plots/                        - Evaluation figures showcasing RMSE, CRPS, SSR scores and qualitative results
├── graph_efm_simple.ckpt         - Pretrained Graph-EFM model with simple graph, 12 proc layers and 256 latent dim
├── graph_efm_multiscale.ckpt     - Pretrained Graph-EFM model with multiscale graph, 12 proc layers and 256 latent dim
├── graph_efm_hierarchical.ckpt   - Pretrained Graph-EFM model with hierarchical graph, 6 proc layers and 256 latent dim
├── graph_fm_simple.ckpt          - Pretrained Graph-FM model with simple graph, 12 proc layers and 256 latent dim
├── graph_fm_multiscale.ckpt      - Pretrained Graph-FM model with multiscale graph, 12 proc layers and 256 latent dim
└── graph_fm_hierarchical.ckpt    - Pretrained Graph-FM model with hierarchical graph, 6 proc layers and 256 latent dim
```

In the `forecast` directory you will find 50 second forecasts for each of the for runs in [spacecast-data](https://huggingface.co/datasets/deinal/spacecast-data). The models used to produce these are `graph_efm_simple.ckpt` and `graph_fm_simple.ckpt`. Test set metrics are available in `metrics`. For a full evaluation including visualization of the example forecasts see the `plots` directory.