{
  "_name_or_path": "google/bit-50",
  "architectures": [
    "BitForImageClassification"
  ],
  "conv_layer": "std_conv",
  "depths": [
    3,
    4,
    6,
    3
  ],
  "drop_path_rate": 0.0,
  "embedding_dynamic_padding": false,
  "embedding_size": 64,
  "global_padding": null,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "Audemars Piguet",
    "1": "Breguet",
    "2": "Breitling",
    "3": "Maurice Lacroix",
    "4": "Omega",
    "5": "Patek Philippe",
    "6": "Rado",
    "7": "Rolex",
    "8": "Tissot",
    "9": "Vacheron Constantin"
  },
  "label2id": {
    "Audemars Piguet": 0,
    "Breguet": 1,
    "Breitling": 2,
    "Maurice Lacroix": 3,
    "Omega": 4,
    "Patek Philippe": 5,
    "Rado": 6,
    "Rolex": 7,
    "Tissot": 8,
    "Vacheron Constantin": 9
  },
  "layer_type": "preactivation",
  "model_type": "bit",
  "num_channels": 3,
  "num_groups": 32,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "output_stride": 32,
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.40.1",
  "width_factor": 1
}