- 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
22 lines
633 B
JSON
22 lines
633 B
JSON
{
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"package": "qwen3_5_4b_natural_memory_v2",
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"router": "checkpoints\\router_replay_v7_v2_128\\memory_router_v2.pt",
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"cases": 16,
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"note": "blend 0.00 is the historical behaviour (packaged retriever only); 1.00 is the trained router only",
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"results": {
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"0.00": {
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"router": "blend=0.00",
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"cases": 16,
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"accuracy_pct": 68.75,
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"wrong_attribute_pct": 18.75,
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"read_pct": 93.75,
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"cases_with_rule_hits": 6,
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"stop_reasons": {
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"evidence_found": 15,
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"router_abstained": 1
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},
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"mean_records_selected": 6.0625,
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"seconds": 81.1
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}
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}
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} |