config.json

{
  "_name_or_path": "timm/resnet18.a1_in1k",
  "architecture": "resnet18",
  "architectures": [
    "TimmWrapperForImageClassification"
  ],
  "finetuning_task": "image-classification",
  "id2label": {
    "0": "angular_leaf_spot",
    "1": "bean_rust",
    "2": "healthy"
  },
  "initializer_range": 0.02,
  "label2id": {
    "angular_leaf_spot": "0",
    "bean_rust": "1",
    "healthy": "2"
  },
  "model_name": "timm/resnet18.a1_in1k",
  "model_type": "timm_wrapper",
  "num_classes": 1000,
  "num_features": 512,
  "pretrained_cfg": {
    "classifier": "fc",
    "crop_mode": "center",
    "crop_pct": 0.95,
    "custom_load": false,
    "first_conv": "conv1",
    "fixed_input_size": false,
    "input_size": [
      3,
      224,
      224
    ],
    "interpolation": "bicubic",
    "mean": [
      0.485,
      0.456,
      0.406
    ],
    "num_classes": 1000,
    "origin_url": "https://github.com/huggingface/pytorch-image-models",
    "paper_ids": "arXiv:2110.00476",
    "pool_size": [
      7,
      7
    ],
    "std": [
      0.229,
      0.224,
      0.225
    ],
    "tag": "a1_in1k",
    "test_crop_pct": 1.0,
    "test_input_size": [
      3,
      288,
      288
    ]
  },
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.46.0.dev0"
}