config.json

{
  "architectures": [
    "DebertaV2ForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.2,
  "hidden_size": 1024,
  "id2label": {
    "0": "O",
    "1": "B-DNA",
    "2": "B-RNA",
    "3": "B-cell_line",
    "4": "B-cell_type",
    "5": "B-protein",
    "6": "I-DNA",
    "7": "I-RNA",
    "8": "I-cell_line",
    "9": "I-cell_type",
    "10": "I-protein"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "B-DNA": 1,
    "B-RNA": 2,
    "B-cell_line": 3,
    "B-cell_type": 4,
    "B-protein": 5,
    "I-DNA": 6,
    "I-RNA": 7,
    "I-cell_line": 8,
    "I-cell_type": 9,
    "I-protein": 10,
    "O": 0
  },
  "layer_norm_eps": 1e-07,
  "legacy": true,
  "max_position_embeddings": 512,
  "max_relative_positions": -1,
  "model_type": "deberta-v2",
  "norm_rel_ebd": "layer_norm",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "pooler_dropout": 0,
  "pooler_hidden_act": "gelu",
  "pooler_hidden_size": 1024,
  "pos_att_type": [
    "p2c",
    "c2p"
  ],
  "position_biased_input": false,
  "position_buckets": 256,
  "relative_attention": true,
  "share_att_key": true,
  "torch_dtype": "bfloat16",
  "transformers_version": "4.53.2",
  "type_vocab_size": 0,
  "vocab_size": 128100
}