config.json

{
  "architectures": [
    "ConvNextForImageClassification"
  ],
  "depths": [
    3,
    3,
    27,
    3
  ],
  "drop_path_rate": 0.0,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_sizes": [
    128,
    256,
    512,
    1024
  ],
  "id2label": {
    "0": "\u304a",
    "1": "\u304d",
    "2": "\u3059",
    "3": "\u3064",
    "4": "\u306a",
    "5": "\u306f",
    "6": "\u307e",
    "7": "\u3084",
    "8": "\u308c",
    "9": "\u3092"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "\u304a": 0,
    "\u304d": 1,
    "\u3059": 2,
    "\u3064": 3,
    "\u306a": 4,
    "\u306f": 5,
    "\u307e": 6,
    "\u3084": 7,
    "\u308c": 8,
    "\u3092": 9
  },
  "layer_norm_eps": 1e-12,
  "layer_scale_init_value": 1e-06,
  "model_type": "convnext",
  "num_channels": 3,
  "num_stages": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "transformers_version": "4.57.3"
}