--- license: cc0-1.0 tags: - research-notes - self-supervised --- # Research notes: Self Supervised ## Overview A structured set of research notes on **Self Supervised**, with concrete evaluation references and open questions. Plans and hypotheses are kept separate from completed results. Expect rough edges — this is a working sketch, not a polished release. --- ## Scope and limitations Exploratory by design: no benchmark claims, no completed ablations, no released code, no trained checkpoint. The references are a starting point for verification, not evidence that the study has run. --- ## What is covered + the scope of the research question and likely confounders + a proposed comparison with matched baselines + concrete evaluation context such as task-appropriate public benchmarks named in the main note + reproducibility checks, failure modes, and open questions + topic-relevant references --- ## Open questions + which baselines are actually comparable under matched capacity? + what is the minimum data exposure for a meaningful signal? + which confounders would invalidate a naive comparison? --- ## Acknowledgments This repo borrows ideas freely from public reference implementations; credit to their authors. --- ## Citation If this repository is useful for your work, a link back is appreciated. No formal citation is required yet. --- ## How to read this repository Read `summary.md` first. Anything labeled as a plan or hypothesis is not a result. Future results should ship with dataset versions, commands, seeds, hardware and raw logs. --- ## Files + `summary.md` — primary artifact + `README.md` — this documentation + `config.json` — architecture configuration + `training_args.json` — default experiment settings + `model.safetensors` — initialization checkpoint --- ## License Distributed under the **cc0-1.0** license. External datasets keep their own terms — check them separately.