{
  "_name_or_path": "google/mobilenet_v2_1.4_224",
  "architectures": [
    "MobileNetV2ForImageClassification"
  ],
  "classifier_dropout_prob": 0.2,
  "depth_divisible_by": 8,
  "depth_multiplier": 1.4,
  "expand_ratio": 6,
  "finegrained_output": true,
  "first_layer_is_expansion": true,
  "hidden_act": "relu6",
  "id2label": {
    "0": "Erythrodermic",
    "1": "Guttate",
    "2": "Inverse",
    "3": "Nail",
    "4": "Normal",
    "5": "Not Define",
    "6": "Palm Soles",
    "7": "Plaque",
    "8": "Psoriatic Arthritis",
    "9": "Pustular",
    "10": "Scalp",
    "11": "UPNormal"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Erythrodermic": 0,
    "Guttate": 1,
    "Inverse": 2,
    "Nail": 3,
    "Normal": 4,
    "Not Define": 5,
    "Palm Soles": 6,
    "Plaque": 7,
    "Psoriatic Arthritis": 8,
    "Pustular": 9,
    "Scalp": 10,
    "UPNormal": 11
  },
  "layer_norm_eps": 0.001,
  "min_depth": 8,
  "model_type": "mobilenet_v2",
  "num_channels": 3,
  "output_stride": 32,
  "problem_type": "single_label_classification",
  "semantic_loss_ignore_index": 255,
  "tf_padding": true,
  "torch_dtype": "float32",
  "transformers_version": "4.39.3"
}