120 lines
3.7 KiB
JSON
120 lines
3.7 KiB
JSON
{
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"experiment": "ATI\u2013HO Q3 staged training and structural attribution audit",
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"created_utc": "2026-09-26T07:33:41Z",
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"device": "cuda",
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"torch_version": "2.14.0+cu130",
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"cuda_available": true,
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"cuda_version": "13.0",
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"gpu": "NVIDIA GeForce RTX 5070 Ti",
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"python": "3.14.7",
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"seeds": [
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42,
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3407,
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2026
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],
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"epochs_max": 12,
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"training_protocol": {
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"batch_size": 64,
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"early_stopping_patience": 3,
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"optimizer": "AdamW",
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"learning_rate": 0.0003,
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"weight_decay": 0.001,
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"gradient_clip_norm": 1.0,
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"training_mask_rates": [
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0.0,
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0.1,
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0.3,
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0.5,
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0.7
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],
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"training_mask_patterns": [
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"single",
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"sync",
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"partial",
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"async"
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],
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"validation_selection_scenarios": [
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"0.0/none",
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"0.3/single",
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"0.3/sync",
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"0.5/async"
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],
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"held_out_attachment4_touched_during_training": false
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},
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"ati_output": {
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"parameter_vector": "3 centered class logits + r_negative + r_positive",
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"intensity": "negative/positive magnitudes are 3*sigmoid(r); neutral class is exactly zero",
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"loss": "cross entropy + conditional magnitude SmoothL1 + 0.2*Huber(delta=0.25) + configured regularizers",
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"baseline_checkpoint_reuse": "No: retrain B0 and B1 on the fixed ATI split/mask schedule because existing Q2 checkpoints differ in seeds, batch size, and schedule.",
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"calibration_temperature": 1.0
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},
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"data": {
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"feature_file": "${FINAL_DATA_DIR}/attachment2/unaligned_50.pkl",
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"feature_sha256": "77eda14a06be9749a96c52ae45470c7cffcfa7219011eae391d231a0664c3762",
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"scaler_file": "experiments/q2/unaligned_deep_two_b128/unaligned_50_robust_stats.npz",
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"scaler_max_abs_difference_from_train_only_recompute": 0.0,
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"representation": "Q1 adapter Relative-Progress projection; 50 slots; not physical-time alignment",
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"adapter": "adapter.adapt_official_split; shared train-only robust scaler retained from Q2 V2",
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"dimensions": [
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768,
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74,
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35
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],
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"train_samples": 3395,
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"valid_samples": 728,
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"train_source_video_groups": 1528,
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"valid_source_video_groups": 239,
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"test_samples": 727,
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"test_source_video_groups": 381,
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"source_video_overlap_counts": {
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"train/valid": 0,
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"train/test": 0,
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"valid/test": 0
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},
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"adapter_audit": {
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"train": {
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"method": "shared_interval_overlap_on_normalized_progress",
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"coordinate_mode": "relative",
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"physical_time_alignment": false,
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"samples": 3395,
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"vision_length_conflict_samples": 618,
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"vision_tail_ambiguous_samples": 618,
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"nonzero_text_rows_outside_attention": 86078,
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"observed_target_rows": {
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"text": 169750,
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"audio": 169750,
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"vision": 163302
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},
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"mean_target_coverage": {
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"text": 1.0,
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"audio": 1.0,
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"vision": 0.9540337701314328
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},
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"quality_fields_available": false,
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"word_or_frame_timestamps_available": false
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},
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"valid": {
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"method": "shared_interval_overlap_on_normalized_progress",
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"coordinate_mode": "relative",
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"physical_time_alignment": false,
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"samples": 728,
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"vision_length_conflict_samples": 141,
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"vision_tail_ambiguous_samples": 141,
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"nonzero_text_rows_outside_attention": 17772,
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"observed_target_rows": {
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"text": 36400,
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"audio": 36400,
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"vision": 35315
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},
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"mean_target_coverage": {
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"text": 1.0,
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"audio": 1.0,
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"vision": 0.96090314748523
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},
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"quality_fields_available": false,
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"word_or_frame_timestamps_available": false
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}
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}
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}
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}
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