Archive verified research artifact: effective_config.json
Browse files
artifacts/experiments/runs/gate-search-mira-mmqa_ti-transfer_p2_r1-s17/effective_config.json
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{
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"adaptations": [
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"Qwen3-8B frozen decoder; SigLIP2 vision; BGE text embeddings",
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"Shared Qwen3-VL source extraction plus Qwen3-8B confidence sidecar",
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"Dataset candidate pools; no external prior KG",
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"Canonical normalized string map; no unverified coreference resolution",
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"ScienceQA protected question image for SCOPE source selection",
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"FP32 evaluation, TF32 disabled; custom MMQA resplit",
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"Shared question-specific candidate graph filtered by the MIRA confidence policy before textual-graph baselines; not the original corpus-wide benchmark graph",
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"Separate QA training per dataset; shared visual foundation checkpoint is declared external/common training for this comparison",
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"MIRA Eq.25 text-prefix K/V are independent linear adapters, distinct from HieraSlot Eq.12/13 shared slot adapters. Dimensions map frozen 768-d embeddings to Qwen hidden size then native GQA.",
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"Gold evidence with no retained matching slot contributes no contrastive positive and beta=0; no replacement by a pseudo-positive."
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],
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"aliases": {},
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"blockers": [],
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"checkpoint_selection": "Separate training per dataset; ScienceQA accuracy; MMQA list F1, tie list EM; tie earlier epoch; val_selection only",
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"compiler_identity": "source-closed-confidence-siglip-v1",
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"confidence": {
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"alpha": 0.5,
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"conflict_weight": 0.2,
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"threshold": 0.5
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},
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"confidence_coefficient_origin": "Declared reconstruction choices, not published numerical defaults; tune only on development before freeze.",
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"conflict_rules": {
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"exclusive_objects": {},
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"relation_negations": [
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[
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"is",
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"is not"
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],
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[
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"has",
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"does not have"
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],
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[
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"can",
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"cannot"
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]
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]
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},
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"counts": {
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"mmqa_ti": {
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"train": 10645,
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"val_selection": 1065
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},
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"scienceqa": {
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"train": 12726,
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"val_selection": 3393
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}
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},
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"datasets": [
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"mmqa_ti"
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],
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"decoder": {
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"do_sample": false,
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"dtype": "bfloat16",
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"enable_thinking": false,
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"max_answer_tokens": 256,
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"max_new_tokens": 256,
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"max_prompt_tokens": 512,
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"prefix_native_input_rmsnorm": true,
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"reserved_prefix_positions": 256
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},
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"exact_original_replication": false,
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"external_knowledge": "none-v1 (controlled adaptation)",
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"fidelity_label": "controlled adaptation; not native exact reproduction",
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"gate": {
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"equation": "paper Eq.21 additive, no interaction substitution",
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"threshold": 0.6,
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"top_k": 16
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},
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"implementation_status": "implemented",
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"method": "mira",
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"relation_aliases": {},
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"retrieval": {
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"dense_top_k": 4,
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"edge_base_cost": 0.15,
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| 78 |
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"edge_degree_cost": 0.02,
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| 79 |
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"edge_length_cost": 0.001,
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| 80 |
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"edge_offtopic_cost": 0.5,
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| 81 |
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"max_hops": 2,
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| 82 |
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"max_triples_per_source": 4,
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| 83 |
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"node_relation_weight": 0.5,
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"node_text_weight": 1.0,
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| 85 |
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"offtopic_threshold": 0.5,
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| 86 |
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"pcst_max_edges": 24,
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"reranker_top_k": 4
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},
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"run_scope": "development only; full GPU integration and benchmark quality pending",
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"seeds": [
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17,
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42,
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2026
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],
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"selector": {
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"budget": 0.75,
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"conflict_penalty": 0.1,
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"cost_penalty": 0.05
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},
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"training": {
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"beta_max": 0.2,
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"epochs": 3,
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"gate_learning_rate": 1e-06,
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"grad_clip": 1.0,
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"gradient_accumulation": 4,
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| 106 |
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"lambda_gate": 0.0,
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| 107 |
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"lambda_gen": 0.6,
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"lambda_retr": 0.4,
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"learning_rate": 3e-05,
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| 110 |
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"temperature_nce": 0.07,
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| 111 |
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"warmup_epochs": 0,
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| 112 |
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"weight_decay": 0.01
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},
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"version": "methods-v1",
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| 115 |
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"vision": {
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| 116 |
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"all_candidate_images": true,
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| 117 |
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"max_image_tokens": 64,
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| 118 |
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"pooled_grid": 2
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},
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"visual_adapter": "experiments/runs/foundation/adapter.pt"
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}
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