config.json

{
  "_name_or_path": "nghuyong/ernie-2.0-base-en",
  "architectures": [
    "ErnieForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-DNA",
    "10": "I-RNA",
    "2": "I-DNA",
    "3": "B-protein",
    "4": "I-protein",
    "5": "B-cell_type",
    "6": "I-cell_type",
    "7": "B-cell_line",
    "8": "I-cell_line",
    "9": "B-RNA"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-DNA": "1",
    "B-RNA": "9",
    "B-cell_line": "7",
    "B-cell_type": "5",
    "B-protein": "3",
    "I-DNA": "2",
    "I-RNA": "10",
    "I-cell_line": "8",
    "I-cell_type": "6",
    "I-protein": "4",
    "O": "0"
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 512,
  "model_type": "ernie",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "task_type_vocab_size": 3,
  "torch_dtype": "float32",
  "transformers_version": "4.35.2",
  "type_vocab_size": 4,
  "use_cache": true,
  "use_task_id": false,
  "vocab_size": 30522
}