config.json

{
  "_name_or_path": "microsoft/swin-large-patch4-window12-384-in22k",
  "architectures": [
    "SwinForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    2,
    2,
    18,
    2
  ],
  "drop_path_rate": 0.1,
  "embed_dim": 192,
  "encoder_stride": 32,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 1536,
  "id2label": {
    "0": "Pleural_Thickening",
    "1": "Pneumothorax",
    "2": "Effusion",
    "3": "No Finding",
    "4": "Infiltration",
    "5": "Mass",
    "6": "Nodule",
    "7": "Emphysema",
    "8": "Edema",
    "9": "Fibrosis",
    "10": "Cardiomegaly",
    "11": "Atelectasis",
    "12": "Pneumonia",
    "13": "Hernia",
    "14": "Consolidation"
  },
  "image_size": 384,
  "initializer_range": 0.02,
  "label2id": {
    "Atelectasis": 11,
    "Cardiomegaly": 10,
    "Consolidation": 14,
    "Edema": 8,
    "Effusion": 2,
    "Emphysema": 7,
    "Fibrosis": 9,
    "Hernia": 13,
    "Infiltration": 4,
    "Mass": 5,
    "No Finding": 3,
    "Nodule": 6,
    "Pleural_Thickening": 0,
    "Pneumonia": 12,
    "Pneumothorax": 1
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 4.0,
  "model_type": "swin",
  "num_channels": 3,
  "num_heads": [
    6,
    12,
    24,
    48
  ],
  "num_layers": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "path_norm": true,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.41.1",
  "use_absolute_embeddings": false,
  "window_size": 12
}