config.json

{
  "architectures": [
    "SwinForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    2,
    2,
    18,
    2
  ],
  "drop_path_rate": 0.1,
  "dtype": "float32",
  "embed_dim": 128,
  "encoder_stride": 32,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 1024,
  "id2label": {
    "0": "Altocumulus",
    "1": "Cirrocumulus",
    "2": "Contrails",
    "3": "cirriform clouds",
    "4": "clear sky",
    "5": "cumulonimbus clouds",
    "6": "cumulus clouds",
    "7": "high cumuliform clouds",
    "8": "stratiform clouds",
    "9": "stratocumulus clouds"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Altocumulus": "0",
    "Cirrocumulus": "1",
    "Contrails": "2",
    "cirriform clouds": "3",
    "clear sky": "4",
    "cumulonimbus clouds": "5",
    "cumulus clouds": "6",
    "high cumuliform clouds": "7",
    "stratiform clouds": "8",
    "stratocumulus clouds": "9"
  },
  "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"
  ],
  "transformers_version": "4.57.1",
  "use_absolute_embeddings": false,
  "window_size": 7
}