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Flitto/
expertQA_phi4-mini_exp1_2_medical_seed1

safetensors

speech-to-sft

emnlp-2026-industry

microsoft/Phi-4-mini-instruct

finetune

cc-by-nc-4.0

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expertQA_phi4-mini_exp1_2_medical_seed1

SFT checkpoint from the EMNLP 2026 Industry Track submission A Factorial Ablation of a Speech-to-SFT Pipeline: Differential Effects on Data Quality and Downstream Transfer.

Field	Value
Pipeline condition	Exp 1-2 (Phase 2 only — quality refinement)
Domain	medical
Seed	1
Base model	microsoft/Phi-4-mini-instruct
Training	LoRA (rank 16, α=32, QLoRA 4-bit, lr 2e-4, 3 epochs)
Upstream STT	In-house STT (paper main pipeline)
License	CC BY-NC 4.0 (research and non-commercial use only)

Intended use: research and non-commercial use only, matching the consent scope of the source audio.

Companion repository (code, configs, prompts, sample QA): https://github.com/flitto/speech-to-sft-ablation-paper

Flitto/expertQA_phi4-mini_exp1_2_medical_seed1

expertQA_phi4-mini_exp1_2_medical_seed1

Flitto/
expertQA_phi4-mini_exp1_2_medical_seed1