config.json

{
  "_name_or_path": "msi-dinat-mini-pretrain",
  "architectures": [
    "DinatForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    3,
    4,
    6,
    5
  ],
  "dilations": [
    [
      1,
      8,
      1
    ],
    [
      1,
      4,
      1,
      4
    ],
    [
      1,
      2,
      1,
      2,
      1,
      2
    ],
    [
      1,
      1,
      1,
      1,
      1
    ]
  ],
  "drop_path_rate": 0.2,
  "embed_dim": 64,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 512,
  "id2label": {
    "0": "0",
    "1": "1"
  },
  "initializer_range": 0.02,
  "kernel_size": 7,
  "label2id": {
    "0": "0",
    "1": "1"
  },
  "layer_norm_eps": 1e-05,
  "layer_scale_init_value": 0.0,
  "mlp_ratio": 3.0,
  "model_type": "dinat",
  "num_channels": 3,
  "num_heads": [
    2,
    4,
    8,
    16
  ],
  "num_layers": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "patch_size": 4,
  "path_norm": true,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.35.2"
}