[
  {
    "_note": "EfficientNetV2-S (ImageNet, torchvision). 20M params, 1280-dim output. Direct comparison to B7 unfrozen (0.9015 test AUC).",
    "run_name": "experiments/efficientnet/baseline_efficientnetv2_s",
    "reps": 3,
    "tower_overrides": {
      "img": {
        "args": {
          "backbone": "efficientnet_v2_s",
          "freeze_ratio": 0.0
        }
      }
    }
  },

  {
    "_note": "EfficientNetV2-S + freeze 0.4. Applies the lesson from refugelike_freeze_sweep — anchoring low-level filters from ImageNet pretraining.",
    "run_name": "experiments/efficientnet/baseline_efficientnetv2_s_freeze40",
    "reps": 3,
    "tower_overrides": {
      "img": {
        "args": {
          "backbone": "efficientnet_v2_s",
          "freeze_ratio": 0.4
        }
      }
    }
  },

  {
    "_note": "EfficientNetV2-M (53M params). Mid-size variant; tests whether extra capacity helps or overfits on PAPILA.",
    "run_name": "experiments/efficientnet/baseline_efficientnetv2_m",
    "reps": 3,
    "tower_overrides": {
      "img": {
        "args": {
          "backbone": "efficientnet_v2_m",
          "freeze_ratio": 0.0
        }
      }
    }
  }
]