OUTPUTS/cifnet-18-tiny-lr0.01-bottleneck/config.json

{
  "_name_or_path": "microsoft/resnet-18",
  "activation": "silu",
  "architectures": [
    "CifNetForImageClassification"
  ],
  "bottleneck_kwargs": {
    "reduction": 2
  },
  "depths": [
    2,
    2,
    2,
    2
  ],
  "embedding_kwargs": {
    "embedding_kernel_size_1": 7,
    "embedding_kernel_size_2": 2,
    "embedding_size": 64,
    "embedding_stride_1": 2,
    "embedding_stride_2": 2
  },
  "hidden_sizes": [
    128,
    128,
    128,
    128
  ],
  "id2label": {
    "0": "airplane",
    "1": "automobile",
    "2": "bird",
    "3": "cat",
    "4": "deer",
    "5": "dog",
    "6": "frog",
    "7": "horse",
    "8": "ship",
    "9": "truck"
  },
  "label2id": {
    "airplane": "0",
    "automobile": "1",
    "bird": "2",
    "cat": "3",
    "deer": "4",
    "dog": "5",
    "frog": "6",
    "horse": "7",
    "ship": "8",
    "truck": "9"
  },
  "layer_type": "bottleneck",
  "main_kernel_size": 3,
  "model_type": "resnet",
  "num_channels": 3,
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.39.2"
}