ai-saas / saas-search

24 Apr, 2026

1 commit

  • 935f6e1b   coarse_rank 搜参结果 **参数列表（4 套）** ... Browse File » 
    - `baseline`（top771 最优，`seed_baseline`）
  - `es_bias: 10.0`, `es_exponent: 0.05`
  - `text_bias: 0.1`, `text_exponent: 0.35`, `text_translation_weight: 1.0`
  - `knn_text_weight: 1.0`, `knn_image_weight: 2.0`, `knn_tie_breaker: 0.3`
  - `knn_bias: 0.2`, `knn_exponent: 5.6`
  - `knn_text_bias: 0.2`, `knn_text_exponent: 0.0`
  - `knn_image_bias: 0.2`, `knn_image_exponent: 0.0`
- `54 条上得到的极端解`（`seed_legacy_bo234`）
  - `es_bias: 7.214`, `es_exponent: 0.2025`
  - `text_bias: 4.0`, `text_exponent: 1.584`, `text_translation_weight: 1.4441`
  - `knn_text_weight: 0.1`, `knn_image_weight: 5.6232`, `knn_tie_breaker: 0.021`
  - `knn_bias: 0.0019`, `knn_exponent: 11.8477`
  - `knn_text_bias: 2.3125`, `knn_text_exponent: 1.1547`
  - `knn_image_bias: 0.9641`, `knn_image_exponent: 5.8671`
- `bo_012`（`Primary_Metric_Score=0.485027`）
  - `es_bias: 6.6233`, `es_exponent: 0.2377`
  - `text_bias: 0.049`, `text_exponent: 0.4446`, `text_translation_weight: 1.6236`
  - `knn_text_weight: 1.0344`, `knn_image_weight: 1.3565`, `knn_tie_breaker: 0.212`
  - `knn_bias: 0.0052`, `knn_exponent: 4.4639`
  - `knn_text_bias: 0.1148`, `knn_text_exponent: 1.0926`
  - `knn_image_bias: 0.0114`, `knn_image_exponent: 5.2496`
- `bo_018`（`Primary_Metric_Score=0.484691`）
  - `es_bias: 8.8861`, `es_exponent: 0.2794`
  - `text_bias: 0.0189`, `text_exponent: 0.2`, `text_translation_weight: 1.7178`
  - `knn_text_weight: 1.7459`, `knn_image_weight: 4.2658`, `knn_tie_breaker: 0.2814`
  - `knn_bias: 0.001`, `knn_exponent: 1.4923`
  - `knn_text_bias: 4.0`, `knn_text_exponent: 0.9309`
  - `knn_image_bias: 0.01`, `knn_image_exponent: 5.8289`

**怎么找（可复现）**
- 从 `leaderboard.csv` 找（含分数+参数一行全）：`artifacts/search_evaluation/tuning_runs/coarse_fusion_clothing_top771_resilient_20260422T091650Z/leaderboard.csv`
  - 例：`rg '^2,bo_012,' artifacts/search_evaluation/tuning_runs/coarse_fusion_clothing_top771_resilient_20260422T091650Z/leaderboard.csv`
- 从 `trials.jsonl` 找（最权威，调参器实际写入的 params）：`artifacts/search_evaluation/tuning_runs/coarse_fusion_clothing_top771_resilient_20260422T091650Z/trials.jsonl`
  - 例：`rg '\"name\": \"bo_012\"' artifacts/search_evaluation/tuning_runs/coarse_fusion_clothing_top771_resilient_20260422T091650Z/trials.jsonl`
  - 例：`rg '\"name\": \"seed_legacy_bo234\"' artifacts/search_evaluation/tuning_runs/coarse_fusion_clothing_top771_resilient_20260422T091650Z/trials.jsonl`

**已补到 `config.yaml`**
- 我已把这 4 套参数作为“注释 presets”补在 `coarse_rank.fusion` 旁边：`config/config.yaml:236`
- 注意：你当前 `config/config.yaml` 里 `coarse_rank.fusion` 的生效值是 `knn_bias=0.6 / knn_exponent=0.4`，更像 `seed_low_knn_global`，不是本次大集最优的 baseline。
    tangwang