By Gaurab Das. This standalone model merges the improved PriceLab LoRA adapter into Qwen3-0.6B. It estimates historical whole-dollar USD prices from English product descriptions; it does not search current listings. Release: improved fine-tuned version, merged into standalone float32 weights. Local merge verification matched all 104 comparison cases; see verification.json. Gaurab’s PriceLab project includes dataset auditing and preprocessing, completion-only QLoRA training, traditional baselines, investigation of repeated predictions, validation-based selection, evaluation and an interactive comparison application. This is adaptation of an existing pretrained model, not foundation-model pretraining. Credit Qwen for the base model, Ed Donner for the prepared data, and McAuley Lab for Amazon Reviews 2023: Hou et al. (2024), Bridging Language and Items for Retrieval and Recommendation, arXiv:2403.03952. — Base revision: c1899de289a04d12100db370d81485cdf75e47ca. — Dataset revision: 057ae6b7731e35538897c976e391e76fbb729006. — Retained examples: 19,991 training, 999 validation, 1,000 test. — Whole-dollar targets use Python rounding (nearest integer, ties to even). — Initial version: one…
Модальности:
Генерация текста
Области применения:
Диалог / чат
Задача: Генерация текста
Автор: gaurabdas
Теги: qwen3, qlora, merged, product-pricing, educational, conversational, en, text-generation-inference
Лайков: 3 | Загрузок: 167
Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
