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": "9K111 Fagot",
    "1": "9K115-2 Metis-M",
    "2": "9M113 Konkurs",
    "3": "9M133 Kornet",
    "4": "BGM-71 TOW"
  },
  "label2id": {
    "9K111 Fagot": 0,
    "9K115-2 Metis-M": 1,
    "9M113 Konkurs": 2,
    "9M133 Kornet": 3,
    "BGM-71 TOW": 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"
}