{
  "_name_or_path": "microsoft/resnet-101",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    23,
    3
  ],
  "downsample_in_bottleneck": false,
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "blue_stain",
    "1": "crack",
    "2": "crazing",
    "3": "dead_knot",
    "4": "inclusion",
    "5": "knot_with_crack",
    "6": "live_knot",
    "7": "marrow",
    "8": "patches",
    "9": "pitted_surface",
    "10": "resin",
    "11": "rolled_in_scale",
    "12": "scratches",
    "13": "steel_defect"
  },
  "label2id": {
    "blue_stain": 0,
    "crack": 1,
    "crazing": 2,
    "dead_knot": 3,
    "inclusion": 4,
    "knot_with_crack": 5,
    "live_knot": 6,
    "marrow": 7,
    "patches": 8,
    "pitted_surface": 9,
    "resin": 10,
    "rolled_in_scale": 11,
    "scratches": 12,
    "steel_defect": 13
  },
  "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": "4.38.2"
}