config.json

{
  "_name_or_path": "facebook/convnextv2-tiny-1k-224",
  "architectures": [
    "ConvNextV2ForImageClassification"
  ],
  "depths": [
    3,
    3,
    9,
    3
  ],
  "drop_path_rate": 0.0,
  "hidden_act": "gelu",
  "hidden_sizes": [
    96,
    192,
    384,
    768
  ],
  "id2label": {
    "0": "Abstract_Pattern",
    "1": "Check_Pattern",
    "2": "Color_Block_Pattern",
    "3": "Embellished_Pattern",
    "4": "Embroider_Pattern",
    "5": "Geometric_pattern",
    "6": "Graphic_Pattern",
    "7": "Lace_Pattern",
    "8": "Polka_Dot_Pattern",
    "9": "Stripes_Pattern"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Abstract_Pattern": 0,
    "Check_Pattern": 1,
    "Color_Block_Pattern": 2,
    "Embellished_Pattern": 3,
    "Embroider_Pattern": 4,
    "Geometric_pattern": 5,
    "Graphic_Pattern": 6,
    "Lace_Pattern": 7,
    "Polka_Dot_Pattern": 8,
    "Stripes_Pattern": 9
  },
  "layer_norm_eps": 1e-12,
  "model_type": "convnextv2",
  "num_channels": 3,
  "num_stages": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.44.0"
}