{
  "experiment": "ATI–HO Q3 staged training and structural attribution audit",
  "created_utc": "2026-09-26T07:33:41Z",
  "device": "cuda",
  "torch_version": "2.14.0+cu130",
  "cuda_available": true,
  "cuda_version": "13.0",
  "gpu": "NVIDIA GeForce RTX 5070 Ti",
  "python": "3.14.7",
  "seeds": [
    42,
    3407,
    2026
  ],
  "epochs_max": 12,
  "training_protocol": {
    "batch_size": 64,
    "early_stopping_patience": 3,
    "optimizer": "AdamW",
    "learning_rate": 0.0003,
    "weight_decay": 0.001,
    "gradient_clip_norm": 1.0,
    "training_mask_rates": [
      0.0,
      0.1,
      0.3,
      0.5,
      0.7
    ],
    "training_mask_patterns": [
      "single",
      "sync",
      "partial",
      "async"
    ],
    "validation_selection_scenarios": [
      "0.0/none",
      "0.3/single",
      "0.3/sync",
      "0.5/async"
    ],
    "held_out_attachment4_touched_during_training": false
  },
  "ati_output": {
    "parameter_vector": "3 centered class logits + r_negative + r_positive",
    "intensity": "negative/positive magnitudes are 3*sigmoid(r); neutral class is exactly zero",
    "loss": "cross entropy + conditional magnitude SmoothL1 + 0.2*Huber(delta=0.25) + configured regularizers",
    "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.",
    "calibration_temperature": 1.0
  },
  "data": {
    "feature_file": "/home/gloamxun/modeling_zhaocui/E题数据/附件2-数据集特征文件/unaligned_50.pkl",
    "feature_sha256": "77eda14a06be9749a96c52ae45470c7cffcfa7219011eae391d231a0664c3762",
    "scaler_file": "/home/gloamxun/modeling_zhaocui/final/experiments/q2/unaligned_deep_two_b128/unaligned_50_robust_stats.npz",
    "scaler_max_abs_difference_from_train_only_recompute": 0.0,
    "representation": "Q1 adapter Relative-Progress projection; 50 slots; not physical-time alignment",
    "adapter": "final.adapter.adapt_official_split; shared train-only robust scaler retained from Q2 V2",
    "dimensions": [
      768,
      74,
      35
    ],
    "train_samples": 3395,
    "valid_samples": 728,
    "train_source_video_groups": 1528,
    "valid_source_video_groups": 239,
    "test_samples": 727,
    "test_source_video_groups": 381,
    "source_video_overlap_counts": {
      "train/valid": 0,
      "train/test": 0,
      "valid/test": 0
    },
    "adapter_audit": {
      "train": {
        "method": "shared_interval_overlap_on_normalized_progress",
        "coordinate_mode": "relative",
        "physical_time_alignment": false,
        "samples": 3395,
        "vision_length_conflict_samples": 618,
        "vision_tail_ambiguous_samples": 618,
        "nonzero_text_rows_outside_attention": 86078,
        "observed_target_rows": {
          "text": 169750,
          "audio": 169750,
          "vision": 163302
        },
        "mean_target_coverage": {
          "text": 1.0,
          "audio": 1.0,
          "vision": 0.9540337701314328
        },
        "quality_fields_available": false,
        "word_or_frame_timestamps_available": false
      },
      "valid": {
        "method": "shared_interval_overlap_on_normalized_progress",
        "coordinate_mode": "relative",
        "physical_time_alignment": false,
        "samples": 728,
        "vision_length_conflict_samples": 141,
        "vision_tail_ambiguous_samples": 141,
        "nonzero_text_rows_outside_attention": 17772,
        "observed_target_rows": {
          "text": 36400,
          "audio": 36400,
          "vision": 35315
        },
        "mean_target_coverage": {
          "text": 1.0,
          "audio": 1.0,
          "vision": 0.96090314748523
        },
        "quality_fields_available": false,
        "word_or_frame_timestamps_available": false
      }
    }
  }
}