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CoCo_PyVulDet_NER

Token Classification
Transformers
PyTorch
roberta
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xet
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CoCo_PyVulDet_NER
File size: 1,197 Bytes 
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{
  "_name_or_path": "microsoft/codebert-base",
  "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-rce",
    "2": "I-rce",
    "3": "B-oob",
    "4": "I-oob",
    "5": "B-xss",
    "6": "I-xss",
    "7": "B-sql",
    "8": "I-sql",
    "9": "B-iiv",
    "10": "I-iiv",
    "11": "B-pat",
    "12": "I-pat"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-iiv": 9,
    "B-oob": 3,
    "B-pat": 11,
    "B-rce": 1,
    "B-sql": 7,
    "B-xss": 5,
    "I-iiv": 10,
    "I-oob": 4,
    "I-pat": 12,
    "I-rce": 2,
    "I-sql": 8,
    "I-xss": 6,
    "O": 0
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.29.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}