config.json

{
  "_name_or_path": "AutoTrain",
  "architectures": [
    "ConvNextForImageClassification"
  ],
  "depths": [
    3,
    3,
    27,
    3
  ],
  "drop_path_rate": 0.0,
  "hidden_act": "gelu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "Female_0-19",
    "1": "Female_20-29",
    "2": "Female_30-39",
    "3": "Female_40-69",
    "4": "Female_70+",
    "5": "Male_0-19",
    "6": "Male_20-29",
    "7": "Male_30-39",
    "8": "Male_40-69",
    "9": "Male_70+"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Female_0-19": "0",
    "Female_20-29": "1",
    "Female_30-39": "2",
    "Female_40-69": "3",
    "Female_70+": "4",
    "Male_0-19": "5",
    "Male_20-29": "6",
    "Male_30-39": "7",
    "Male_40-69": "8",
    "Male_70+": "9"
  },
  "layer_norm_eps": 1e-12,
  "layer_scale_init_value": 1e-06,
  "max_length": 128,
  "model_type": "convnext",
  "num_channels": 3,
  "num_stages": 4,
  "padding": "max_length",
  "patch_size": 4,
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.25.1"
}