config.json

{
  "_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
  "architectures": [
    "SwinForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    2,
    2,
    6,
    2
  ],
  "drop_path_rate": 0.1,
  "embed_dim": 96,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "id2label": {
    "0": "0-10",
    "1": "10-20",
    "2": "20-30",
    "3": "30-40",
    "4": "40-50",
    "5": "50-60",
    "6": "60-70",
    "7": "70-80",
    "8": "80-90",
    "9": "90-100"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "0-10": "0",
    "10-20": "1",
    "20-30": "2",
    "30-40": "3",
    "40-50": "4",
    "50-60": "5",
    "60-70": "6",
    "70-80": "7",
    "80-90": "8",
    "90-100": "9"
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 4.0,
  "model_type": "swin",
  "num_channels": 3,
  "num_heads": [
    3,
    6,
    12,
    24
  ],
  "patch_size": 4,
  "path_norm": true,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.16.2",
  "use_absolute_embeddings": false,
  "window_size": 7
}