WpyQwq
643e22ecb9
- 引入 MemoryRouterXL 与 v5/v6 流式多线程训练/编码管线 - 修复 prepare_memory_router_dataset 候选池重建缺陷（mega 家族 3568x 加速，输出逐字节相同） - 修复 v5 被破坏的拒答与多跳标签（train 未知样本 319 -> 16319，multi_hop 平均正例 1.00 -> 2.00） - 同存储预算下 V2-128 v6 逐轴 22/22 通过：Top-1 41.12% -> 94.62%，未知拒答 0.00% -> 100.00% - 记录三条被实测推翻的显然优化（logits_to_keep=1 反而慢 55%、XL 容量未带来收益） - 记忆手术跨架构可移植性 14/14，读写关闭时与原生模型逐位相同
48 lines
1.0 KiB
JSON
48 lines
1.0 KiB
JSON
{
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"built_at": "2026-09-12T13:15:04Z",
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"attributes": [
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"主管姓名",
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"入职年份",
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"出生城市",
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"办公城市",
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"午餐偏好",
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"咖啡口味",
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"团队名称",
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"客户名称",
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"宿舍楼号",
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"工位楼层",
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"常住城市",
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"常用编辑器",
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"手机尾号",
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"档案标识",
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"紧急联系人姓氏",
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"设备型号",
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"课程名称",
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"起床时间",
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"运动习惯",
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"通勤方式",
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"邮箱域名",
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"阅读工具",
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"项目代号",
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"默认语言"
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],
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"classes": 24,
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"chance_pct": 4.17,
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"train_queries": 1200,
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"eval_queries": 300,
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"attribute_accuracy_train_pct": 100.0,
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"attribute_accuracy_eval_pct": 100.0,
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"attribute_accuracy_eval_answerable_pct": 100.0,
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"coverage_rule": {
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"answerable_covered_pct": 100.0,
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"abstention_covered_pct": 0.0,
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"unknown_refusal_pct": 100.0,
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"known_false_refusal_pct": 0.0,
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"counts": {
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"tp": 50,
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"fn": 0,
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"fp": 0,
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"tn": 250
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}
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}
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} |