ShuKe777/ensemble-cf-v2

AI model by ShuKe777

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把一份家庭画像和一段月末市场摘要,答成三道投资决策题的 Laya checkpoint。编码器是 jhu-clsp/mmBERT-base(MIT,约 322M)的全量微调,上面是 Laya 0.4.2 的决策头。权重是 fp16。 这不是生成模型,也不能用 AutoModel.frompretrained 推理。加载入口是 laya.agent.Agent。 很多人时用 predictbatch,同一组 questions 打在一个 batch 上。maxlen 是 1024,headmaxlen 是 256。v2 精简 persona 在这个长度里不截断。 三道题合成一个人的目标持仓时,项目里的折算是: 期望权益金额是 资产 × P(持有) × E[比例|持有],再乘行业权重。资产档代表值是 0.5 万、3 万、12.5 万、35 万、100 万元。 state 是两段英文文本拼起来的: 20 个行业由申万一级合并而来,选项顺序就是 questions.json 里的顺序:农业、食品饮料、煤炭石油、钢铁有色、化工、建筑建材、房地产、机械、电力设备与新能源、国防、汽车、电子、计算机与通信、传媒、医药、银行、非银金融、家电纺服、零售服务、公用交通。 起点是 Laya multilingual(同一份 mmBERT-base)。scripts/finetunelaya.py 调用 laya.train.finetune,损失是软交叉熵 soft-ce,不是默认的 rlcd。编码器不冻结。每个 epoch 打乱 choice 题的选项顺序,避免学到位置先验。 四个 epoch 的训练损失是…

ShuKe777/ensemble-cf-v2 on Hugging Face A short preview, not the full document.

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  1. ensemble-cf-v2
  2. 用法
  3. 输入
  4. 训练
  5. 留出评估
  6. 限度
  7. 文件

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ShuKe777/ensemble-cf-v2 is a task-unspecified model repository published by ShuKe777 on Hugging Face. A library was not reported.

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Reported safetensors parameters
321,908,998
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License
mit
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Not gated by Hugging Face
Created
2026-10-15T06:21:25.000Z
Last modified
2026-10-15T06:32:57.000Z

Compatibility and lineage

Reported languages: en

Reported base models: jhu-clsp/mmBERT-base

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