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farizkuy
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ner_fine_tuned

Token Classification
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TensorBoard
Safetensors
bert
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ner_fine_tuned
File size: 2,104 Bytes 
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{
  "_name_or_path": "cahya/bert-base-indonesian-NER",
  "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": "B-CRD",
    "1": "B-DAT",
    "2": "B-EVT",
    "3": "B-FAC",
    "4": "B-GPE",
    "5": "B-LAN",
    "6": "B-LAW",
    "7": "B-LOC",
    "8": "B-MON",
    "9": "B-NOR",
    "10": "B-ORD",
    "11": "B-ORG",
    "12": "B-PER",
    "13": "B-PRC",
    "14": "B-PRD",
    "15": "B-QTY",
    "16": "B-REG",
    "17": "B-TIM",
    "18": "B-WOA",
    "19": "I-CRD",
    "20": "I-DAT",
    "21": "I-EVT",
    "22": "I-FAC",
    "23": "I-GPE",
    "24": "I-LAN",
    "25": "I-LAW",
    "26": "I-LOC",
    "27": "I-MON",
    "28": "I-NOR",
    "29": "I-ORD",
    "30": "I-ORG",
    "31": "I-PER",
    "32": "I-PRC",
    "33": "I-PRD",
    "34": "I-QTY",
    "35": "I-REG",
    "36": "I-TIM",
    "37": "I-WOA",
    "38": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-CRD": 0,
    "B-DAT": 1,
    "B-EVT": 2,
    "B-FAC": 3,
    "B-GPE": 4,
    "B-LAN": 5,
    "B-LAW": 6,
    "B-LOC": 7,
    "B-MON": 8,
    "B-NOR": 9,
    "B-ORD": 10,
    "B-ORG": 11,
    "B-PER": 12,
    "B-PRC": 13,
    "B-PRD": 14,
    "B-QTY": 15,
    "B-REG": 16,
    "B-TIM": 17,
    "B-WOA": 18,
    "I-CRD": 19,
    "I-DAT": 20,
    "I-EVT": 21,
    "I-FAC": 22,
    "I-GPE": 23,
    "I-LAN": 24,
    "I-LAW": 25,
    "I-LOC": 26,
    "I-MON": 27,
    "I-NOR": 28,
    "I-ORD": 29,
    "I-ORG": 30,
    "I-PER": 31,
    "I-PRC": 32,
    "I-PRD": 33,
    "I-QTY": 34,
    "I-REG": 35,
    "I-TIM": 36,
    "I-WOA": 37,
    "O": 38
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.41.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32000
}