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": "-90 to -80",
    "1": "-80 to -70",
    "2": "-70 to -60",
    "3": "-60 to -50",
    "4": "-50 to -40",
    "5": "-40 to -30",
    "6": "-30 to -20",
    "7": "-20 to -10",
    "8": "-10 to 0",
    "9": "0 to 10",
    "10": "10 to 20",
    "11": "20 to 30",
    "12": "30 to 40",
    "13": "40 to 50",
    "14": "50 to 60",
    "15": "60 to 70",
    "16": "70 to 80",
    "17": "80 to 90"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "-10 to 0": 8,
    "-20 to -10": 7,
    "-30 to -20": 6,
    "-40 to -30": 5,
    "-50 to -40": 4,
    "-60 to -50": 3,
    "-70 to -60": 2,
    "-80 to -70": 1,
    "-90 to -80": 0,
    "0 to 10": 9,
    "10 to 20": 10,
    "20 to 30": 11,
    "30 to 40": 12,
    "40 to 50": 13,
    "50 to 60": 14,
    "60 to 70": 15,
    "70 to 80": 16,
    "80 to 90": 17
  },
  "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": "4.37.0"
}