{
  "_name_or_path": "outputs",
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "finetuning_task": "image-classification",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "SMT",
    "1": "angiodysplasia",
    "2": "bleeding",
    "3": "diverticulum",
    "4": "erosion",
    "5": "erythema",
    "6": "foreign body",
    "7": "lymph follicle",
    "8": "lymphangiectasia",
    "9": "no_class",
    "10": "polyp-like",
    "11": "stenosis"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "SMT": "0",
    "angiodysplasia": "1",
    "bleeding": "2",
    "diverticulum": "3",
    "erosion": "4",
    "erythema": "5",
    "foreign body": "6",
    "lymph follicle": "7",
    "lymphangiectasia": "8",
    "no_class": "9",
    "polyp-like": "10",
    "stenosis": "11"
  },
  "layer_norm_eps": 1e-12,
  "model_type": "vit",
  "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": "4.27.0.dev0"
}