config.json

{
  "_name_or_path": "dicta-il/dictabert",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "ORG",
    "1": "MISC",
    "2": "FAC",
    "3": "TTL",
    "4": "LOC",
    "5": "GPE",
    "6": "INFORMAL",
    "7": "ANG",
    "8": "TIMEX",
    "9": "DUC",
    "10": "PER",
    "11": "O",
    "12": "EVE",
    "13": "WOA"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "ORG": 0,
    "MISC": 1,
    "PER": 10,
    "O": 11,
    "EVE": 12,
    "WOA": 13,
    "FAC": 2,
    "TTL": 3,
    "LOC": 4,
    "GPE": 5,
    "INFORMAL": 6,
    "ANG": 7,
    "TIMEX": 8,
    "DUC": 9
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "newmodern": true,
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.42.4",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 128000
}