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Flitto/
expertQA_llama3.3-70b_exp0_finance_seed2

safetensors

speech-to-sft

emnlp-2026-industry

meta-llama/Llama-3.3-70B-Instruct

finetune

cc-by-nc-4.0

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expertQA_llama3.3-70b_exp0_finance_seed2

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 0 (baseline (no refinement))
Domain	finance
Seed	2
Base model	meta-llama/Llama-3.3-70B-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_llama3.3-70b_exp0_finance_seed2

expertQA_llama3.3-70b_exp0_finance_seed2

Flitto/
expertQA_llama3.3-70b_exp0_finance_seed2