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aprm-sft-snorkel-finance
mzio/aprm-sft-snorkel-finance
aprm-sft-snorkel-finance is a machine learning model from mzio. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
LoRA adapters (r8a16, base Qwen/Qwen3-4B-Instruct-2507) from Act-PRM supervised fine-tuning on tau2-bench snorkelfinancesplit. Variants: actionsonly (baseline), expertthoughts (oracle), thoughts{policy,base}[last] (Ac…
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Updated Aug 30, 2026
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At a glance
- Access
- Public
- Created
- Jul 30, 2026
- Updated
- Aug 30, 2026
- SHA
- b54f1508
Model card
From the Hugging Face model README
Act-PRM SFT LoRA checkpoints — tau2 snorkel_finance_split
LoRA adapters (r8_a16, base Qwen/Qwen3-4B-Instruct-2507) from Act-PRM supervised fine-tuning on tau2-bench snorkel_finance_split. Variants: actions_only (baseline), expert_thoughts (oracle), thoughts_{policy,base}[_last] (Act-PRM inferred thoughts), each in hide-observations and full-context regimes. Adapters live under snorkel_finance_split/<variant_regime>/.
Held-out action-only eval (lower PPL / higher acc = better next-action fit)
| variant_regime | action-only PPL | action-acc |
|---|---|---|
| thoughts_policy_adamw30_lr1e_3_adamw_nb100_heldout | 1.629 | 0.871 |
See the project for methodology (Act-PRM: infer latent thoughts behind action-only demos via offline EM).
- Created
- Jul 30, 2026
- Updated
- Aug 30, 2026