chore: snapshot in-progress question-gen work before preflight fixes

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2026-07-16 04:12:21 -04:00
parent 11a5545f57
commit a4c429b247
39 changed files with 738 additions and 283 deletions
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# config/train_ar30.yaml
# Action Recognition 训练 — 基于 SubPattern 靶向生成的 30 题
# 对比基线: v2-360 的 AR 题(100% 单帧,训练无效)
# 本次: AR30 题(6 种失败子模式靶向,跨段时序)
harness:
workspace_dir: "workspaces/train-ar30"
store_dir: store
mode: train
run_id: train_ar30_v1
concurrency: 24
max_steps: 40
skill_mode: auto
n_samples: 0
questions: "generated-ar30"
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 — per_category 单题型
pool_split_mode: per_category
task_types:
- "Action Recognition"
train_ratio: 0.667
test_questions: "benchmarks/Video-MME"
run_holdout_eval: false
# mini-batch
batch_size: 10
min_class_per_batch: 2
batch_correct_ratio: 0.5
momentum_samples: 20
eval_min_per_class: 2
early_stop_patience: 4
test_size: 63
diag_size: 20
diag_correct_ratio: 0.5
val_size: 10
val_correct_ratio: 0.5
use_slow_momentum: true
embed:
backend: "local"
model_name: "BAAI/bge-base-zh-v1.5"
embed_dim: 768
device: "cuda"