Blame for README.md

---
license: apache-2.0
library_name: pytorch
tags:
- structbench
- structural-engineering
- surrogate-model
- deforming_plate
---

# StructBench checkpoints: `deforming_plate`

Blessed reference checkpoints of the StructBench benchmark `deforming_plate`, 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/deforming_plate.md`](https://github.com/qilinli/StructBench/blob/v0.4.0/docs/benchmarks/deforming_plate.md).

| Row | Family | Scheme | Run commit | Run date | Bundle | Checkpoint | SHA-256 | Headline |
|---|---|---|---|---|---|---|---|---|
| MGN | mgn | autoregressive | `eb39994` | 2026-08-17 | `mgn-eb39994/` | `model-best-1750000.pt` | `5309491a0595e90678eed3bf0a8063e76754d6f52a94228c7c58fb1bc700bbf7` | test rollout_rel_l2_disp 0.5013 |

## 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/deforming-plate --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).