config.json

{
  "_name_or_path": "microsoft/resnet-50",
  "_num_labels": 5,
  "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": "10_just_a_pure_cotton_quilt",
    "1": "11_cover_the_quilt_with_only_the_head_exposed",
    "2": "12_just_a_pure_face",
    "3": "13_cover_the_quilt_to_expose_the_head_and_shoulders",
    "4": "14_has_nothing_to_do_with_11_and_13_above"
  },
  "label2id": {
    "10_just_a_pure_cotton_quilt": 0,
    "11_cover_the_quilt_with_only_the_head_exposed": 1,
    "12_just_a_pure_face": 2,
    "13_cover_the_quilt_to_expose_the_head_and_shoulders": 3,
    "14_has_nothing_to_do_with_11_and_13_above": 4
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "problem_type": "single_label_classification",
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.36.1"
}