config.json

{
  "_name_or_path": "microsoft/resnet-50",
  "architectures": [
    "ResNetForImageClassification"
  ],
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsample_in_first_stage": false,
  "embedding_size": 64,
  "hidden_act": "relu",
  "hidden_sizes": [
    256,
    512,
    1024,
    2048
  ],
  "id2label": {
    "0": "angry1",
    "1": "happy1",
    "2": "neutral1",
    "3": "sad1"
  },
  "label2id": {
    "angry1": "0",
    "happy1": "1",
    "neutral1": "2",
    "sad1": "3"
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.24.0"
}