config.json

{
  "_name_or_path": "microsoft/resnet-50",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "Agaricus",
    "1": "Amanita",
    "10": "Suillus",
    "2": "Boletus",
    "3": "Cortinarius",
    "4": "Entoloma",
    "5": "Exidia",
    "6": "Hygrocybe",
    "7": "Inocybe",
    "8": "Lactarius",
    "9": "Russula"
  },
  "label2id": {
    "Agaricus": "0",
    "Amanita": "1",
    "Boletus": "2",
    "Cortinarius": "3",
    "Entoloma": "4",
    "Exidia": "5",
    "Hygrocybe": "6",
    "Inocybe": "7",
    "Lactarius": "8",
    "Russula": "9",
    "Suillus": "10"
  },
  "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": "4.32.1"
}