config.json

{
  "architectures": [
    "ConvNextV2ForImageClassification"
  ],
  "depths": [
    3,
    3,
    27,
    3
  ],
  "drop_path_rate": 0.0,
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_sizes": [
    192,
    384,
    768,
    1536
  ],
  "id2label": {
    "0": "A1",
    "1": "A10",
    "2": "A11",
    "3": "A12",
    "4": "A13",
    "5": "A14",
    "6": "A15",
    "7": "A16",
    "8": "A17",
    "9": "A18",
    "10": "A19",
    "11": "A2",
    "12": "A20",
    "13": "A3",
    "14": "A4",
    "15": "A5",
    "16": "A6",
    "17": "A7",
    "18": "A8",
    "19": "A9"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "A1": 0,
    "A10": 1,
    "A11": 2,
    "A12": 3,
    "A13": 4,
    "A14": 5,
    "A15": 6,
    "A16": 7,
    "A17": 8,
    "A18": 9,
    "A19": 10,
    "A2": 11,
    "A20": 12,
    "A3": 13,
    "A4": 14,
    "A5": 15,
    "A6": 16,
    "A7": 17,
    "A8": 18,
    "A9": 19
  },
  "layer_norm_eps": 1e-12,
  "model_type": "convnextv2",
  "num_channels": 3,
  "num_stages": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "transformers_version": "5.3.0",
  "use_cache": false
}