config.json

{
  "_name_or_path": "AutoTrain",
  "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": 768,
  "id2label": {
    "0": "A",
    "1": "B",
    "10": "K",
    "11": "L",
    "12": "M",
    "13": "N",
    "14": "O",
    "15": "P",
    "16": "Q",
    "17": "R",
    "18": "S",
    "19": "T",
    "2": "C",
    "20": "U",
    "21": "V",
    "22": "W",
    "23": "X",
    "24": "Y",
    "25": "Z",
    "3": "D",
    "4": "E",
    "5": "F",
    "6": "G",
    "7": "H",
    "8": "I",
    "9": "J"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "A": "0",
    "B": "1",
    "C": "2",
    "D": "3",
    "E": "4",
    "F": "5",
    "G": "6",
    "H": "7",
    "I": "8",
    "J": "9",
    "K": "10",
    "L": "11",
    "M": "12",
    "N": "13",
    "O": "14",
    "P": "15",
    "Q": "16",
    "R": "17",
    "S": "18",
    "T": "19",
    "U": "20",
    "V": "21",
    "W": "22",
    "X": "23",
    "Y": "24",
    "Z": "25"
  },
  "layer_norm_eps": 1e-12,
  "layer_scale_init_value": 0.1,
  "max_length": 128,
  "model_type": "beit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "out_indices": [
    3,
    5,
    7,
    11
  ],
  "padding": "max_length",
  "patch_size": 16,
  "pool_scales": [
    1,
    2,
    3,
    6
  ],
  "problem_type": "single_label_classification",
  "semantic_loss_ignore_index": 255,
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "use_absolute_position_embeddings": false,
  "use_auxiliary_head": true,
  "use_mask_token": false,
  "use_mean_pooling": true,
  "use_relative_position_bias": true,
  "use_shared_relative_position_bias": false,
  "vocab_size": 8192
}