config.json

{
  "_name_or_path": "microsoft/deberta-v3-small",
  "architectures": [
    "DebertaV2ForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "presentation",
    "1": "budget",
    "2": "scientific publication",
    "3": "letter",
    "4": "invoice",
    "5": "handwritten",
    "6": "email",
    "7": "questionnaire",
    "8": "memo",
    "9": "specification",
    "10": "resume",
    "11": "file folder",
    "12": "form",
    "13": "scientific report",
    "14": "news article",
    "15": "advertisement"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "advertisement": 15,
    "budget": 1,
    "email": 6,
    "file folder": 11,
    "form": 12,
    "handwritten": 5,
    "invoice": 4,
    "letter": 3,
    "memo": 8,
    "news article": 14,
    "presentation": 0,
    "questionnaire": 7,
    "resume": 10,
    "scientific publication": 2,
    "scientific report": 13,
    "specification": 9
  },
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "max_relative_positions": -1,
  "model_type": "deberta-v2",
  "norm_rel_ebd": "layer_norm",
  "num_attention_heads": 12,
  "num_hidden_layers": 6,
  "pad_token_id": 0,
  "pooler_dropout": 0,
  "pooler_hidden_act": "gelu",
  "pooler_hidden_size": 768,
  "pos_att_type": [
    "p2c",
    "c2p"
  ],
  "position_biased_input": false,
  "position_buckets": 256,
  "relative_attention": true,
  "share_att_key": true,
  "torch_dtype": "float32",
  "transformers_version": "4.36.0",
  "type_vocab_size": 0,
  "vocab_size": 128100
}