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| license: cc-by-4.0 | |
| tags: | |
| - pytorch | |
| - poolformer | |
| - multitask | |
| - wip | |
| # Working Poolformer implementation for Multitask | |
| ## Overview | |
| This repository is a compact, custom PyTorch implementation of **Poolformer** for **Multitask**. The **giant** configuration is intended for code review, smoke tests, and small controlled experiments rather than as a production-ready pretrained release. | |
| --- | |
| ## 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. | |
| --- | |
| ## Default experiment recipe | |
| Defaults: **novograd** optimizer, **step** schedule. Treat these as starting points; a real run should sweep learning rate and batch size before drawing conclusions. | |
| --- | |
| ## Limitations | |
| - weights are random-init, so outputs carry no signal | |
| - robustness, fairness and domain transfer are untested | |
| - the API may change without notice while the design settles | |
| --- | |
| ## Evaluation guidance | |
| - pick a task dataset such as a task-specific held-out set | |
| - fix a tuning budget in advance | |
| - compare against a capacity-matched baseline | |
| - publish raw logs next to any claim | |
| --- | |
| ## Citation | |
| ```bibtex | |
| @misc{workingpoolformerimp}, | |
| title = {Working Poolformer implementation for Multitask}, | |
| year = {{2026}}, | |
| publisher = {{Hugging Face}}, | |
| } | |
| ``` | |
| --- | |
| ## Quick check | |
| Run `python eval.py --help` for the built-in smoke test. Because this is a custom implementation, generic automatic loading APIs require an explicit adapter before use. | |
| --- | |
| ## Files | |
| - `eval.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 | |
| - `examples/sample_usage.py` — usage sketch | |
| --- | |
| ## License | |
| Distributed under the **cc-by-4.0** license. External datasets keep their own terms — check them separately. | |