config.json

{
  "_name_or_path": "Celal11/resnet-50-finetuned-FER2013-0.003",
  "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": "angry",
    "1": "disgust",
    "2": "fear",
    "3": "happy",
    "4": "neutral",
    "5": "sad",
    "6": "surprise"
  },
  "label2id": {
    "angry": 0,
    "disgust": 1,
    "fear": 2,
    "happy": 3,
    "neutral": 4,
    "sad": 5,
    "surprise": 6
  },
  "layer_type": "bottleneck",
  "model_type": "resnet",
  "num_channels": 3,
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.20.1"
}