{
  "name": "CAM-AH",
  "full_name": "Cross-Attention-Multimodal-Ambivalence-Hesitation",
  "task": "video-level binary classification (1 = ambivalence/hesitancy present)",
  "members": [
    "members/20260711_191444/best-epoch=00-val_ap=0.8790.ckpt",
    "members/20260711_191555/best-epoch=00-val_ap=0.8749.ckpt",
    "members/20260711_191626/best-epoch=01-val_ap=0.8639.ckpt",
    "members/20260711_191656/best-epoch=00-val_ap=0.8769.ckpt",
    "members/20260711_191725/best-epoch=01-val_ap=0.8747.ckpt"
  ],
  "seeds": [42, 1, 2, 3, 4],
  "state_dict_prefix": "model.",
  "combine": "mean of per-video sigmoid probabilities",
  "threshold": 0.595,
  "threshold_note": "Fixed decision threshold used in the best official submission (predict 1 if mean probability >= 0.595). Overrides the per-member thresholds stored in each trainer_state.json.",
  "architecture": {
    "dim_a": 320,
    "dim_b": 768,
    "dim_tab": 74,
    "common_dim": 512,
    "num_heads": 8,
    "dropout": 0.3,
    "pool": "attention",
    "tab_fusion": "token",
    "use_tabular": true,
    "num_outputs": 1
  },
  "inputs": {
    "window": {"size_s": 5.0, "hop_s": 2.5},
    "feat_a": "librosa prosodic features per window (80 features x 4 stats = 320-d)",
    "feat_b": "cardiffnlp/twitter-roberta-base-emotion, masked mean pool + L2 norm, max_length 128 (768-d)",
    "feat_tab": "74 support features per window: question type (7) + acoustic hesitation (18) + textual A/H cues (49)",
    "key_padding_mask": "(B, T) bool, True = padded window"
  },
  "training": {
    "train_splits": ["train", "val"],
    "n_train_videos": 902,
    "monitor_split": "test (internal, 525 videos)",
    "monitor": "val_ap (max)",
    "optimizer": "AdamW",
    "lr": 3e-4,
    "weight_decay": 0.05,
    "gradient_clip_val": 1.0,
    "batch_size": 32,
    "max_epochs": 400,
    "early_stopping_patience": 20
  },
  "results": {
    "official_private_test": {"n_videos": 152, "macro_f1": 0.745595, "average_precision": 0.818211, "threshold": 0.595},
    "internal_test_525": {"average_precision": 0.877}
  }
}