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varsha12
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BERT_DNRTI

Token Classification
Transformers
PyTorch
bert
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xet
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BERT_DNRTI
File size: 2,000 Bytes 
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{
  "_num_labels": 24,
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": null,
  "do_sample": false,
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  "eos_token_id": null,
  "finetuning_task": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-Tool",
    "1": "O",
    "2": "I-SecTeam",
    "3": "B-Way",
    "4": "I-Time",
    "5": "I-Exp",
    "6": "I-OffAct",
    "7": "B-Geo",
    "8": "I-Geo",
    "9": "B-Org",
    "10": "B-Features",
    "11": "B-Exp",
    "12": "B-Time",
    "13": "B-SecTeam",
    "14": "B-OffAct",
    "15": "I-Way",
    "16": "I-HackOrg",
    "17": "I-Purp",
    "18": "I-Org",
    "19": "B-HackOrg",
    "20": "I-Features",
    "21": "I-Tool",
    "22": "B-Purp",
    "23": "PAD"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "is_decoder": false,
  "is_encoder_decoder": false,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
    "LABEL_11": 11,
    "LABEL_12": 12,
    "LABEL_13": 13,
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    "LABEL_15": 15,
    "LABEL_16": 16,
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    "LABEL_2": 2,
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    "LABEL_3": 3,
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    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "layer_norm_eps": 1e-12,
  "length_penalty": 1.0,
  "max_length": 20,
  "max_position_embeddings": 512,
  "min_length": 0,
  "model_type": "bert",
  "no_repeat_ngram_size": 0,
  "num_attention_heads": 12,
  "num_beams": 1,
  "num_hidden_layers": 12,
  "num_return_sequences": 1,
  "output_attentions": false,
  "output_hidden_states": false,
  "output_past": true,
  "pad_token_id": 0,
  "pruned_heads": {},
  "repetition_penalty": 1.0,
  "temperature": 1.0,
  "top_k": 50,
  "top_p": 1.0,
  "torchscript": false,
  "type_vocab_size": 2,
  "use_bfloat16": false,
  "vocab_size": 30522
}