config.json

{
  "_name_or_path": "HeNLP/HeRo",
  "architectures": [
    "RobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "device_map": "dik",
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "S-ANG",
    "1": "B-ANG",
    "2": "I-ANG",
    "3": "E-ANG",
    "4": "S-DUC",
    "5": "B-DUC",
    "6": "I-DUC",
    "7": "E-DUC",
    "8": "B-EVE",
    "9": "E-EVE",
    "10": "S-EVE",
    "11": "I-EVE",
    "12": "S-FAC",
    "13": "B-FAC",
    "14": "E-FAC",
    "15": "I-FAC",
    "16": "S-GPE",
    "17": "B-GPE",
    "18": "E-GPE",
    "19": "I-GPE",
    "20": "S-LOC",
    "21": "B-LOC",
    "22": "E-LOC",
    "23": "I-LOC",
    "24": "O",
    "25": "S-ORG",
    "26": "B-ORG",
    "27": "E-ORG",
    "28": "I-ORG",
    "29": "B-PER",
    "30": "I-PER",
    "31": "E-PER",
    "32": "S-PER",
    "33": "B-WOA",
    "34": "E-WOA",
    "35": "I-WOA",
    "36": "S-WOA"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-ANG": 1,
    "B-DUC": 5,
    "B-EVE": 8,
    "B-FAC": 13,
    "B-GPE": 17,
    "B-LOC": 21,
    "B-ORG": 26,
    "B-PER": 29,
    "B-WOA": 33,
    "E-ANG": 3,
    "E-DUC": 7,
    "E-EVE": 9,
    "E-FAC": 14,
    "E-GPE": 18,
    "E-LOC": 22,
    "E-ORG": 27,
    "E-PER": 31,
    "E-WOA": 34,
    "I-ANG": 2,
    "I-DUC": 6,
    "I-EVE": 11,
    "I-FAC": 15,
    "I-GPE": 19,
    "I-LOC": 23,
    "I-ORG": 28,
    "I-PER": 30,
    "I-WOA": 35,
    "O": 24,
    "S-ANG": 0,
    "S-DUC": 4,
    "S-EVE": 10,
    "S-FAC": 12,
    "S-GPE": 16,
    "S-LOC": 20,
    "S-ORG": 25,
    "S-PER": 32,
    "S-WOA": 36
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "offload_folder": "os.path.join(path.parent.parent.absolute(), 'results/RoBERTa/model_and_tokenizer')",
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.35.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}