config.json

{
  "_name_or_path": "google/vit-base-patch16-224-in21k",
  "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": "advertisement",
    "1": "budget",
    "10": "presentation",
    "11": "questionnaire",
    "12": "resume",
    "13": "scientific publication",
    "14": "scientific report",
    "15": "specification",
    "2": "email",
    "3": "file folder",
    "4": "form",
    "5": "handwritten",
    "6": "invoice",
    "7": "letter",
    "8": "memo",
    "9": "news article"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "advertisement": "0",
    "budget": "1",
    "email": "2",
    "file folder": "3",
    "form": "4",
    "handwritten": "5",
    "invoice": "6",
    "letter": "7",
    "memo": "8",
    "news article": "9",
    "presentation": "10",
    "questionnaire": "11",
    "resume": "12",
    "scientific publication": "13",
    "scientific report": "14",
    "specification": "15"
  },
  "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": "4.45.2"
}