config.json

{
  "_name_or_path": "vinai/phobert-base-v2",
  "architectures": [
    "RobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-NAME",
    "2": "I-NAME",
    "3": "B-DATE",
    "4": "I-DATE",
    "5": "B-UNI",
    "6": "I-UNI",
    "7": "B-MAJ",
    "8": "I-MAJ",
    "9": "B-MAIL",
    "10": "I-MAIL",
    "11": "B-UNI_ABRREV",
    "12": "I-PHONE"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-DATE": 3,
    "B-MAIL": 9,
    "B-MAJ": 7,
    "B-NAME": 1,
    "B-UNI": 5,
    "B-UNI_ABBREV": 11,
    "I-DATE": 4,
    "I-MAIL": 10,
    "I-MAJ": 8,
    "I-NAME": 2,
    "I-PHONE": 12,
    "I-UNI": 6,
    "O": 0
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 258,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "tokenizer_class": "PhobertTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.36.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 64001
}