config.json

{
  "architectures": [
    "ConvNextForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    3,
    3,
    9,
    3
  ],
  "drop_path_rate": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "hidden_sizes": [
    96,
    192,
    384,
    768
  ],
  "id2label": {
    "0": "A",
    "1": "C",
    "2": "D",
    "3": "B"
  },
  "image_size": 512,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "A": 0,
    "B": 3,
    "C": 1,
    "D": 2
  },
  "layer_norm_eps": 1e-12,
  "layer_scale_init_value": 1e-06,
  "model_type": "convnext",
  "num_attention_heads": 12,
  "num_channels": 1,
  "num_hidden_layers": 12,
  "num_stages": 4,
  "patch_size": 16,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.20.1"
}