Working Efficientformer implementation for Matching
Overview
This repository is a compact, custom PyTorch implementation of Efficientformer for Matching. The xlarge configuration is intended for code review, smoke tests, and small controlled experiments rather than as a production-ready pretrained release.
Default Experiment Recipe
The generated recipe uses adamw with a step schedule.
These values exist so the script runs end-to-end. A meaningful experiment needs its own tuning budget and at least three seeds.
Quick Check
python model.py --help
Inspect the script's __main__ block for its generated smoke-test example. Because this is a custom implementation, generic automatic loading APIs require an explicit adapter before use.
Repository Status
One Python module contains the model and a runnable example.
Generated configuration lives in config.json; the recipe in training_args.json.
The checkpoint is an initialization artifact and should not be read as a trained model.
Scores are deliberately absent.
Limitations
The checkpoint is untrained and unaudited. Treat the repository as an experimental starting point; anything learned from a future trained version must be documented separately.
Files
| File | Purpose |
|---|---|
model.py |
primary artifact |
README.md |
this documentation |
config.json |
architecture configuration |
training_args.json |
default experiment settings |
model.safetensors |
initialization checkpoint |
USE_POLICY.md |
use and redistribution notes |
License
Distributed under the cc-by-4.0 license. External datasets keep their own terms — check them separately.
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