{
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_bottleneck": false,
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "Melanoma",
    "1": "Melanocytic nevus",
    "2": "Basal cell carcinoma",
    "3": "Actinic keratosis",
    "4": "Benign keratosis",
    "5": "Dermatofibroma",
    "6": "Vascular lesion",
    "7": "Squamous cell carcinoma"
  },
  "label2id": {
    "Actinic keratosis": "3",
    "Basal cell carcinoma": "2",
    "Benign keratosis": "4",
    "Dermatofibroma": "5",
    "Melanocytic nevus": "1",
    "Melanoma": "0",
    "Squamous cell carcinoma": "7",
    "Vascular lesion": "6"
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.36.2"
}