| license: apache-2.0 | |
| library_name: pytorch | |
| tags: | |
| - structbench | |
| - structural-engineering | |
| - surrogate-model | |
| - wave_propagation_1d | |
| # StructBench checkpoints: `wave_propagation_1d` | |
| Blessed reference checkpoints of the StructBench benchmark `wave_propagation_1d`, published with code release `v0.4.0` (ADR-0074 clause 8). Each folder holds what running and checking the model needs: the registered checkpoint, the resolved `config.json`, the normalisation statistics when the model uses them, the `metrics-<split>.json` of the scored splits, and a `SHA256SUMS` covering those files. The results registry that reads these numbers is the benchmark's landing page, [`docs/benchmarks/wave_propagation_1d.md`](https://github.com/qilinli/StructBench/blob/v0.4.0/docs/benchmarks/wave_propagation_1d.md). | |
| | Row | Family | Scheme | Run commit | Run date | Bundle | Checkpoint | SHA-256 | Headline | | |
| |---|---|---|---|---|---|---|---|---| | |
| | CGN | cgn | autoregressive | `48046ea` | 2026-07-10 | `cgn-48046ea/` | `model-best-050000.pt` | `2139335fb0cb2f6cccaf9be69e69cced369deb6eda80f6970b292deeba07dc0a` | test_interp rollout_rel_l2_disp 0.3507 | | |
| ## Use | |
| Download a folder and evaluate it with the StructBench CLI, which rebuilds the simulator from the folder's own `config.json` (the evaluation overwrites the downloaded `metrics-<split>.json`; keep a copy to compare): | |
| ```bash | |
| hf download StructBench/wave-propagation-1d --revision v0.4.0 --local-dir bundles | |
| structbench-train --mode rollout --out bundles/<bundle> --data-root <canonical cases> | |
| ``` | |
| Verify a file against `SHA256SUMS` before trusting it. Code and benchmark definitions: https://github.com/qilinli/StructBench (Apache-2.0). | |