iomgaa
8958eee11b
config/train_videomme.yaml 同时收录待入库的实验配置变更(run_id v2 / concurrency 32 / batch_size 40)。tests/integration/test_v3_contract_e2e.py 的 run_id 断言按 Task 5 显式契约同步修正(原断言依赖旧隐式实例注入)。
98 lines
2.7 KiB
YAML
98 lines
2.7 KiB
YAML
# config/default.yaml
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# 科研实验配置默认值来源（会在实验中反复扫动/对比的参数）。
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# 工程配置（少变、敏感）由 .env / pydantic-settings 管理，不在此文件。
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# 优先级: CLI args > 此文件。CLI 仅用于单次临时覆盖。
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# ── 建树模块 ──
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tree:
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max_paragraphs_per_l2: 5
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l1_segment_duration: 600.0 # L1 段时长（秒）
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l2_clip_duration: 60.0 # L2 clip 时长（秒）
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l3_fps: 0.5 # L3 帧提取频率（帧/秒）
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l2_representative_frames: 6 # L2 VLM 描述用的代表帧数
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cache_dir: "cache/trees"
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concurrency: 16 # asyncio Semaphore 上限
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subtitle_inject: true # 建树时是否注入 SRT 字幕
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srt_window_sec: 5.0 # 字幕匹配时间窗口（前后各 N 秒）
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# ── Embedding ──
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embed:
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backend: "local"
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model_name: "BAAI/bge-base-zh-v1.5"
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embed_dim: 768
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device: "cuda"
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# ── Harness 自进化循环 ──
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harness:
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workspace_dir: "workspaces/default"
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store_dir: store
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mode: infer
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concurrency: 24
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max_steps: 40
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skill_mode: auto
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n_samples: 0
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questions: "benchmarks/Video-MME"
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skills_version: v1
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prompts_version: v1
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epochs: 1
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# CE-Gate 参数
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gate_e_confirm: 20.0
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gate_e_provisional: 3.0
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gate_w_net_min: 2
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gate_delta_min: 0.02
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gate_lambda_dir: -0.642
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gate_e_rollback: 10.0
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gate_n_max: 40
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gate_p_low: 0.05
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gate_p_high: 0.95
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gate_probe_quota: 0.2
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gate_gamma_decay: 0.9
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gate_cooldown_steps: 2
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gate_guard_err: 0.10
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# 进化参数
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edit_budget_start: 5
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edit_budget_end: 2
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skill_update_mode: patch
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appendix_consolidate_threshold: 6
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# 数据池
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diag_size: 200
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diag_correct_ratio: 0.5
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val_size: 30
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val_correct_ratio: 0.5
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test_size: 60
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# mini-batch
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batch_size: 15
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min_class_per_batch: 2
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batch_correct_ratio: 0.5
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momentum_samples: 20
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eval_min_per_class: 2
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trainable_min_units: 8
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early_stop_patience: 8
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use_slow_momentum: true
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# 池构建策略
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pool_split_mode: global # global | per_category
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train_ratio: 0.667 # per_category 模式下 train/(train+val) 比例
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test_questions: "benchmarks/Video-MME" # test 池的题目来源
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# ── 出题管线 v2 ──
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question_gen_v2:
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family_ratios:
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retrieval: 0.30
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reasoning: 0.25
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enumeration: 0.20
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visual: 0.15
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spatial: 0.10
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gate:
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blind_answer_model: "gpt-4.1-mini"
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leak_test_model: "gpt-4.1-mini"
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key_verify_model: "gpt-4.1-mini"
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multi_true_model: "gpt-4.1-mini"
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dedup_threshold: 0.85
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retry_limit: 3
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heavy_sample_rate: 0.15
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heavy_agent_model: "gpt-4.1-mini"
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output_dir: "store/questions/generated-v2"
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per_type: 20 # 12 类 x 20 = 240 题（设计 §3 硬约束）
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concurrency: 4
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seed: 42
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