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
59 lines
1.5 KiB
JSON
59 lines
1.5 KiB
JSON
{
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"generator": "make_realistic_memory_eval.py",
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"purpose": "realistic-shaped memory evaluation corpus (multi-entity, aliases, updates, multi-hop, near-miss, noise, long facts, unknowns)",
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"per_category": 25,
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"seed": 20260913,
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"episodes": 200,
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"sha256": "333a3c02c6b5fede753bea15d597de655287677ad5b08230da36039867238035",
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"categories": {
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"multi_entity": {
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"episodes": 25,
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"answerable": 25,
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"unknown": 0,
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"max_candidates": 3
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},
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"alias_paraphrase": {
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"episodes": 25,
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"answerable": 25,
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"unknown": 0,
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"max_candidates": 5
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},
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"update_conflict": {
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"episodes": 25,
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"answerable": 25,
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"unknown": 0,
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"max_candidates": 5
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},
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"multi_hop": {
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"episodes": 25,
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"answerable": 25,
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"unknown": 0,
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"max_candidates": 5
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},
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"near_miss": {
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"episodes": 25,
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"answerable": 25,
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"unknown": 0,
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"max_candidates": 4
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},
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"noise_context": {
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"episodes": 25,
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"answerable": 25,
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"unknown": 0,
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"max_candidates": 9
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},
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"long_fact": {
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"episodes": 25,
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"answerable": 25,
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"unknown": 0,
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"max_candidates": 4
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},
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"unknown_attribute": {
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"episodes": 25,
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"answerable": 0,
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"unknown": 25,
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"max_candidates": 5
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}
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},
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"note": "episodes use the schema consumed by eval_end_to_end_memory (query / candidates[].text / positive_indices / metadata.acceptable)"
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} |