---
license: mit
tags:
  - cad
  - brep
  - machining-feature-recognition
  - graph-neural-network
---

# BrepMFR Model Weights

Model checkpoints for [BrepMFR](https://github.com/cad-results/BrepMFR) — machining feature recognition in B-rep models through deep learning and domain adaptation.

## Files

| Path | Description | F1 Score |
|------|-------------|----------|
| `trial1_ss/best-epoch41-f1_0.9476.ckpt` | Best overall (full dataset) | 0.9476 |
| `trial1_ss/last.ckpt` | Last epoch, full dataset | — |
| `trial1_ss1500/best-epoch46-f1_0.9455.ckpt` | Best, 1500 sample subset | 0.9455 |
| `trial1_ss1500/last.ckpt` | Last epoch, ss1500 | — |
| `trial1_ss1000/best-epoch28-f1_0.9146.ckpt` | Best, 1000 sample subset | 0.9146 |
| `trial1_finetune_ss/best-epoch26-f1_0.9356.ckpt` | Best finetuned | 0.9356 |
| `pipe_classifier/best-epoch64-f1_0.5517.ckpt` | Pipe classifier (different task) | 0.5517 |
| `face_seg_heavy/best-epoch43-f1_0.8626.ckpt` | Face segmentation (heavy arch) | 0.8626 |
| `brepsimplifier/f1_0.9415.ckpt` | BrepFormer for defeaturing | 0.9415 |

## Source Code

[https://github.com/cad-results/BrepMFR](https://github.com/cad-results/BrepMFR)