config.json

{
  "_name_or_path": "microsoft/swin-base-patch4-window12-384",
  "architectures": [
    "SwinForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    2,
    2,
    18,
    2
  ],
  "drop_path_rate": 0.1,
  "embed_dim": 128,
  "encoder_stride": 32,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 1024,
  "id2label": {
    "0": "Araneus_diadematus",
    "1": "Argiope_argentata",
    "2": "Argiope_aurantia",
    "3": "Argiope_bruennichi",
    "4": "Argiope_trifasciata",
    "5": "Dolomedes_tenebrosus",
    "6": "Gasteracantha_cancriformis",
    "7": "Latrodectus_geometricus",
    "8": "Leucauge_venusta",
    "9": "Menemerus_bivittatus",
    "10": "Misumena_vatia",
    "11": "Nephila_pilipes",
    "12": "Phidippus_audax",
    "13": "Pisaura_mirabilis",
    "14": "Pisaurina_mira",
    "15": "Platycryptus_undatus",
    "16": "Salticus_scenicus",
    "17": "Steatoda_nobilis",
    "18": "Steatoda_triangulosa",
    "19": "Trichonephila_clavipes"
  },
  "image_size": 384,
  "initializer_range": 0.02,
  "label2id": {
    "Araneus_diadematus": 0,
    "Argiope_argentata": 1,
    "Argiope_aurantia": 2,
    "Argiope_bruennichi": 3,
    "Argiope_trifasciata": 4,
    "Dolomedes_tenebrosus": 5,
    "Gasteracantha_cancriformis": 6,
    "Latrodectus_geometricus": 7,
    "Leucauge_venusta": 8,
    "Menemerus_bivittatus": 9,
    "Misumena_vatia": 10,
    "Nephila_pilipes": 11,
    "Phidippus_audax": 12,
    "Pisaura_mirabilis": 13,
    "Pisaurina_mira": 14,
    "Platycryptus_undatus": 15,
    "Salticus_scenicus": 16,
    "Steatoda_nobilis": 17,
    "Steatoda_triangulosa": 18,
    "Trichonephila_clavipes": 19
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 4.0,
  "model_type": "swin",
  "num_channels": 3,
  "num_heads": [
    4,
    8,
    16,
    32
  ],
  "num_layers": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "path_norm": true,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.33.3",
  "use_absolute_embeddings": false,
  "window_size": 12
}