config.json

{
  "_name_or_path": "microsoft/resnet-50",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_bottleneck": false,
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "Acacia",
    "1": "Coconut",
    "2": "Dau",
    "3": "Dita",
    "4": "Ilang-ilang",
    "5": "Macarthur",
    "6": "Mango",
    "7": "Mulawin",
    "8": "Narra",
    "9": "Palmera",
    "10": "Royal Palm",
    "11": "Santol",
    "12": "Tabebuia"
  },
  "label2id": {
    "Acacia": 0,
    "Coconut": 1,
    "Dau": 2,
    "Dita": 3,
    "Ilang-ilang": 4,
    "Macarthur": 5,
    "Mango": 6,
    "Mulawin": 7,
    "Narra": 8,
    "Palmera": 9,
    "Royal Palm": 10,
    "Santol": 11,
    "Tabebuia": 12
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.45.2"
}