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)。
81 lines
1.9 KiB
YAML
81 lines
1.9 KiB
YAML
# 补生 Video-MME 6 类缺失题型（180 题）
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# 原 360 题中有 6 类错误类型已归档，此配置只生成缺失的 6 类。
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# ── 建树模块 ──（与 question_gen_360.yaml 一致）
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tree:
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max_paragraphs_per_l2: 5
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l1_segment_duration: 600.0
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l2_clip_duration: 60.0
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l3_fps: 0.5
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l2_representative_frames: 6
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cache_dir: "cache/trees"
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concurrency: 16
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subtitle_inject: true
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srt_window_sec: 5.0
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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 ──（占位，出题不使用）
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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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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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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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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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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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early_stop_patience: 8
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use_slow_momentum: true
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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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dedup_threshold: 0.85
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retry_limit: 10
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heavy_sample_rate: 0.15
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output_dir: "store/questions/generated-v2-180补"
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per_type: 30 # 6 类 x 30 = 180 题
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concurrency: 24
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seed: 43 # 不同于原始 seed=42，避免生成相同题目
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