config.json

{
  "architectures": [
    "ConvNextV2ForImageClassification"
  ],
  "depths": [
    3,
    3,
    9,
    3
  ],
  "drop_path_rate": 0.0,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_sizes": [
    96,
    192,
    384,
    768
  ],
  "id2label": {
    "0": "Atelectasis",
    "1": "Cardiomegaly",
    "2": "Consolidation",
    "3": "Edema",
    "4": "Enlarged Cardiomediastinum",
    "5": "Fracture",
    "6": "Lung Lesion",
    "7": "Lung Opacity",
    "8": "No Finding",
    "9": "Pleural Effusion",
    "10": "Pleural Other",
    "11": "Pneumonia",
    "12": "Pneumothorax",
    "13": "Support Devices"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Atelectasis": 0,
    "Cardiomegaly": 1,
    "Consolidation": 2,
    "Edema": 3,
    "Enlarged Cardiomediastinum": 4,
    "Fracture": 5,
    "Lung Lesion": 6,
    "Lung Opacity": 7,
    "No Finding": 8,
    "Pleural Effusion": 9,
    "Pleural Other": 10,
    "Pneumonia": 11,
    "Pneumothorax": 12,
    "Support Devices": 13
  },
  "layer_norm_eps": 1e-12,
  "model_type": "convnextv2",
  "num_channels": 3,
  "num_stages": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "problem_type": "multi_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "transformers_version": "4.56.0.dev0"
}