config.json

{
  "_name_or_path": "microsoft/dit-large",
  "add_fpn": false,
  "architectures": [
    "BeitForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "auxiliary_channels": 256,
  "auxiliary_concat_input": false,
  "auxiliary_loss_weight": 0.4,
  "auxiliary_num_convs": 1,
  "drop_path_rate": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 1024,
  "id2label": {
    "0": "Billing",
    "1": "Diagnostics",
    "2": "Lab Reports",
    "3": "Office Visit",
    "4": "Operative Report",
    "5": "Orders",
    "6": "Other",
    "7": "Physical_Therapy_(PTOT)"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "Billing": 0,
    "Diagnostics": 1,
    "Lab Reports": 2,
    "Office Visit": 3,
    "Operative Report": 4,
    "Orders": 5,
    "Other": 6,
    "Physical_Therapy_(PTOT)": 7
  },
  "layer_norm_eps": 1e-12,
  "layer_scale_init_value": 0.1,
  "model_type": "beit",
  "num_attention_heads": 16,
  "num_channels": 3,
  "num_hidden_layers": 24,
  "out_features": [
    "stage3",
    "stage5",
    "stage7",
    "stage11"
  ],
  "out_indices": [
    3,
    5,
    7,
    11
  ],
  "patch_size": 16,
  "pool_scales": [
    1,
    2,
    3,
    6
  ],
  "problem_type": "single_label_classification",
  "reshape_hidden_states": true,
  "semantic_loss_ignore_index": 255,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4",
    "stage5",
    "stage6",
    "stage7",
    "stage8",
    "stage9",
    "stage10",
    "stage11",
    "stage12",
    "stage13",
    "stage14",
    "stage15",
    "stage16",
    "stage17",
    "stage18",
    "stage19",
    "stage20",
    "stage21",
    "stage22",
    "stage23",
    "stage24"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.37.2",
  "use_absolute_position_embeddings": true,
  "use_auxiliary_head": true,
  "use_mask_token": true,
  "use_mean_pooling": true,
  "use_relative_position_bias": false,
  "use_shared_relative_position_bias": false,
  "vocab_size": 8192
}