config.json

{
  "_name_or_path": "microsoft/swinv2-tiny-patch4-window16-256",
  "architectures": [
    "Swinv2ForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    2,
    2,
    6,
    2
  ],
  "drop_path_rate": 0.1,
  "embed_dim": 96,
  "encoder_stride": 32,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": 20,
    "1": 1,
    "2": 18,
    "3": 16,
    "4": 14,
    "5": 3,
    "6": 8,
    "7": 22,
    "8": 19,
    "9": 25,
    "10": 9,
    "11": 12,
    "12": 32,
    "13": 33,
    "14": 21,
    "15": 35,
    "16": 6,
    "17": 26,
    "18": 15,
    "19": 10,
    "20": 24,
    "21": 17,
    "22": 27,
    "23": 36,
    "24": 11,
    "25": 13,
    "26": 5,
    "27": 30,
    "28": 31,
    "29": 4,
    "30": 0,
    "31": 28,
    "32": 29,
    "33": 2,
    "34": 23,
    "35": 34,
    "36": 7
  },
  "image_size": 256,
  "initializer_range": 0.02,
  "label2id": {
    "0": 30,
    "1": 1,
    "2": 33,
    "3": 5,
    "4": 29,
    "5": 26,
    "6": 16,
    "7": 36,
    "8": 6,
    "9": 10,
    "10": 19,
    "11": 24,
    "12": 11,
    "13": 25,
    "14": 4,
    "15": 18,
    "16": 3,
    "17": 21,
    "18": 2,
    "19": 8,
    "20": 0,
    "21": 14,
    "22": 7,
    "23": 34,
    "24": 20,
    "25": 9,
    "26": 17,
    "27": 22,
    "28": 31,
    "29": 32,
    "30": 27,
    "31": 28,
    "32": 12,
    "33": 13,
    "34": 35,
    "35": 15,
    "36": 23
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 4.0,
  "model_type": "swinv2",
  "num_channels": 3,
  "num_heads": [
    3,
    6,
    12,
    24
  ],
  "num_layers": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "path_norm": true,
  "pretrained_window_sizes": [
    0,
    0,
    0,
    0
  ],
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.39.3",
  "use_absolute_embeddings": false,
  "window_size": 16
}