feat: add Video-MME 900 training entry (config + self-contained script)

2026-07-16 07:33:16 -04:00
parent a1c4e051e7
commit 5fdcd9b5aa
2 changed files with 155 additions and 0 deletions
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+# config/train_videomme.yaml
+# Video-MME 900 题自进化训练 —— 消费 video-split 冻结切分（global 三池）
+#
+# 数据来源: workspaces/video-split/pools.json（tier 感知 diag/val + val 功效修复）
+#   经 adhoc-baseline seed 携带进 workspace（WP2 接线）。
+# 训练前置: .env REDIS_CACHE_TTL 须为正整数（WP4 fail-loud）；见
+#   research-wiki/reviews/2026-07-16-preflight-final-review.md runbook。
+
+harness:
+  workspace_dir: "workspaces/train-videomme"
+  store_dir: store
+  mode: train
+  run_id: train_videomme_v1
+  concurrency: 24
+  max_steps: 40
+  skill_mode: auto
+  n_samples: 0
+  questions: "benchmarks/Video-MME"   # gate 指纹依赖加载全 900 题
+  skills_version: v1
+  prompts_version: v1
+  epochs: 3
+  # CE-Gate 参数（沿用 default.yaml）
+  gate_e_confirm: 20.0
+  gate_e_provisional: 3.0
+  gate_w_net_min: 2
+  gate_delta_min: 0.02
+  gate_lambda_dir: -0.642
+  gate_e_rollback: 10.0
+  gate_block: 8
+  gate_n_max: 40
+  gate_p_low: 0.05
+  gate_p_high: 0.95
+  gate_probe_quota: 0.2
+  gate_gamma_decay: 0.9
+  gate_cooldown_steps: 2
+  gate_guard_err: 0.10
+  # 进化参数
+  edit_budget_start: 5
+  edit_budget_end: 2
+  skill_update_mode: patch
+  appendix_consolidate_threshold: 6
+  # 池配置 —— global 冻结切分（diag/val/test 尺寸由 pools.json 冻结，以下采样旋钮加载时忽略）
+  pool_split_mode: global
+  diag_size: 210
+  diag_correct_ratio: 0.5
+  val_size: 90
+  val_correct_ratio: 0.5
+  test_size: 600
+  test_questions: "benchmarks/Video-MME"
+  # 可训练性预检（WP3）：val 单元 < eval_min_per_class 或 非test单元 < trainable_min_units 的题型剔除
+  eval_min_per_class: 2
+  trainable_min_units: 8
+  # mini-batch
+  batch_size: 10
+  min_class_per_batch: 2
+  batch_correct_ratio: 0.5
+  momentum_samples: 20
+  early_stop_patience: 2          # epoch 粒度（WP3）：连续 2 epoch 无 best 刷新即停
+  use_slow_momentum: true
+  run_holdout_eval: true          # 逐 epoch test 四向评估（WP3 去重版：baseline 推导 + 版本备忘录）
+  # 全 12 题型（不指定 task_types 子集，避免 I-4 语义偏差；微型类由预检自动剔除）
+
+embed:
+  backend: "local"
+  model_name: "BAAI/bge-base-zh-v1.5"
+  embed_dim: 768
+  device: "cuda"