chiarafkrd/flamingo-baseline

Flamingo for Contrastive

Overview

Working implementation of Flamingo for Contrastive using a large configuration. The repository focuses on transparent code and repeatable smoke tests; benchmark claims are deliberately omitted.

Feedback on the structure is welcome; the code is intentionally short.

Evaluation guidance

A first evaluation could use a task-specific held-out set. Report the metric across at least three seeds and include a matched-capacity baseline; keep logs and library versions with any published number.

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.

Default experiment recipe

Defaults: adam optimizer, constant warmup schedule. Treat these as starting points; a real run should sweep learning rate and batch size before drawing conclusions.

Repository status

• The Python file contains the model and runnable example or training entry point.
• config.json records the generated architecture settings.
• training_args.json records the default experiment recipe.
• model.safetensors is a valid initialization checkpoint for smoke tests; it is not presented as a trained benchmark checkpoint.
• No benchmark score is claimed in this repository.

Changelog

• 2026-10-16 — initial upload
• 2026-10-22 — config and docs sync

Citation

If this repository is useful for your work, a link back is appreciated. No formal citation is required yet.

Files

• 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
• examples/sample_usage.py — usage sketch

License

Distributed under the bsd-3-clause license. External datasets keep their own terms — check them separately.