config.json

{
  "_name_or_path": "facebook/deit-base-distilled-patch16-224",
  "architectures": [
    "DeiTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "adenocarcinoma",
    "1": "adenocarcinoma_left.lower.lobe_T2_N0_M0_Ib",
    "2": "large.cell.carcinoma",
    "3": "large.cell.carcinoma_left.hilum_T2_N2_M0_IIIa",
    "4": "normal",
    "5": "squamous.cell.carcinoma",
    "6": "squamous.cell.carcinoma_left.hilum_T1_N2_M0_IIIa"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "adenocarcinoma": "0",
    "adenocarcinoma_left.lower.lobe_T2_N0_M0_Ib": "1",
    "large.cell.carcinoma": "2",
    "large.cell.carcinoma_left.hilum_T2_N2_M0_IIIa": "3",
    "normal": "4",
    "squamous.cell.carcinoma": "5",
    "squamous.cell.carcinoma_left.hilum_T1_N2_M0_IIIa": "6"
  },
  "layer_norm_eps": 1e-12,
  "model_type": "deit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "patch_size": 16,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.44.2"
}