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AdamRoch/qwen3-0.6b-nfl-play-normalizer-qlora
qwen3-0.6b-nfl-play-normalizer-qlora is a machine learning model from AdamRoch. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for peft. The card lists the license as apache-2.0.
This repository contains a LoRA adapter, not a merged standalone model. Load it onto Qwen/Qwen3-0.6B at revision c1899de289a04d12100db370d81485cdf75e47ca.
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Updated Aug 21, 2026
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From the Hugging Face model README
This repository contains a LoRA adapter, not a merged standalone model. Load it onto Qwen/Qwen3-0.6B at revision c1899de289a04d12100db370d81485cdf75e47ca.
The adapter trained for one epoch on a deterministic 25,000-record subset of the approved real 2019-2022 nflverse corpus. It used 4-bit NF4 QLoRA on a Tesla T4, seed 20260819, batch size 1, gradient accumulation 8, and learning rate 2e-4.
Both rows used the same 30 frozen 2023 descriptions, system instruction, deterministic generation, and strict no-repair scorer.
| Model | Exact records | Valid JSON | Valid schema |
|---|---|---|---|
| Untuned Qwen3 0.6B | 0 / 30 | 0 / 30 | 0 / 30 |
| This QLoRA adapter | 27 / 30 | 30 / 30 | 30 / 30 |
The adapter reached 27/30 exact records, below the project's 95% promotion bar. It was not evaluated on the frozen 2024 confirmation set or untouched 2025 final set. Do not claim production readiness or final generalization from this discovery result.
The training-data manifest, evaluation aggregate metrics, and runtime configurations are included under metadata/. Source code revision: ef79750cb0ab2155ccd0169362ff625e8a8d7517. Training data derives from CC BY 4.0 nflverse releases and requires attribution.