config.json

{
  "_name_or_path": "kssteven/ibert-roberta-base",
  "architectures": [
    "IBertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "eos_token_id": 2,
  "force_dequant": "none",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-PER",
    "2": "I-PER",
    "3": "B-ORG",
    "4": "I-ORG",
    "5": "B-LOC",
    "6": "I-LOC",
    "7": "B-MISC",
    "8": "I-MISC"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-LOC": 5,
    "B-MISC": 7,
    "B-ORG": 3,
    "B-PER": 1,
    "I-LOC": 6,
    "I-MISC": 8,
    "I-ORG": 4,
    "I-PER": 2,
    "O": 0
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "ibert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "quant_mode": false,
  "tokenizer_class": "RobertaTokenizer",
  "torch_dtype": "float32",
  "transformers_version": "4.28.1",
  "type_vocab_size": 1,
  "vocab_size": 50265
}