24 lines
1.1 KiB
Markdown
24 lines
1.1 KiB
Markdown
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---
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license: apache-2.0
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base_model: Qwen/Qwen3-4B
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pipeline_tag: text-generation
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tags:
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- deepshopper
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- recommendation
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- fashion
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- outfit
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---
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# DeepShopper Reward V0 — AMZ bundle likelihood judge (Qwen3-4B)
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Reward **V0** for DeepShopper: a Qwen3-4B SFT'd to generate the matching outfit bundle
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for a natural-language need (`P(outfit | need)`). Used as a reward via **teacher-forced
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likelihood** of a candidate outfit (`100·exp(−mean NLL)`), with hard gates (invalid /
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duplicate / role-category).
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- **Data:** [`flavianv/apparel23-qwen32b-kept-outfits-with-products`](https://huggingface.co/datasets/flavianv/apparel23-qwen32b-kept-outfits-with-products) (AMZ Apparel'23 gold/kept bundles).
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- **Role:** in-distribution relative signal (SFT mapper ≫ zero-shot).
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- **Known limits:** likelihood ≠ quality; **gender-blind** and reasoning-blind; in-distribution (AMZ) only. Superseded for discrimination by the pairwise **V1** ([`flavianv/qwen4b-reward-pairwise-v1`](https://huggingface.co/flavianv/qwen4b-reward-pairwise-v1)).
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Code: https://github.com/clijo/reco-rl (branch outfit_bundle).
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