AMITGUPTA1988/simple-self-supervised

Toward Self Supervised (planning notes)

Overview

Reading notes and an experiment sketch for Self Supervised. The repository emphasizes what still needs to be tested instead of manufacturing scores or release claims.

Comments and corrections can be left in the discussion tab.

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What is covered

• research question scope and likely confounders
• one proposed comparison against matched baselines
• evaluation context such as task-appropriate public benchmarks named in the main note
• reproducibility checks and open questions

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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.

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Changelog

• 2026-10-19 — initial upload
• 2026-10-20 — config and docs sync

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Environment

Item	Value
Python	>= 3.9
torch	2.x
safetensors	any recent
transformers	optional, for loaders

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Related work

References use a author-year citation style and will be consolidated once the reading list settles.

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Files

• review.md — primary artifact
• README.md — this documentation
• config.json — architecture configuration
• training_args.json — default experiment settings
• model.safetensors — initialization checkpoint

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License

Distributed under the cc0-1.0 license. External datasets keep their own terms — check them separately.