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mr4
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pii-detection-vi

Token Classification
Transformers
Safetensors
Vietnamese
bert
Vietnamese
Personal identification information
Analysis
Model card Files
xet
 Community
pii-detection-vi
File size: 5,012 Bytes
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{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "0",
    "1": "B-H\u1ecd v\u00e0 t\u00ean",
    "2": "I-H\u1ecd v\u00e0 t\u00ean",
    "3": "B-Gi\u1edbi t\u00ednh",
    "4": "I-Gi\u1edbi t\u00ednh",
    "5": "B-S\u1ed1 \u0111i\u1ec7n tho\u1ea1i",
    "6": "I-S\u1ed1 \u0111i\u1ec7n tho\u1ea1i",
    "7": "B-Email",
    "8": "I-Email",
    "9": "B-\u0110\u1ecba ch\u1ec9",
    "10": "I-\u0110\u1ecba ch\u1ec9",
    "11": "B-N\u01a1i l\u00e0m vi\u1ec7c",
    "12": "I-N\u01a1i l\u00e0m vi\u1ec7c",
    "13": "B-Ngh\u1ec7 nghi\u1ec7p",
    "14": "I-Ngh\u1ec7 nghi\u1ec7p",
    "15": "B-D\u00e2n t\u1ed9c",
    "16": "I-D\u00e2n t\u1ed9c",
    "17": "B-T\u00f4n gi\u00e1o",
    "18": "I-T\u00f4n gi\u00e1o",
    "19": "B-N\u01a1i sinh",
    "20": "I-N\u01a1i sinh",
    "21": "B-Qu\u00ea qu\u00e1n",
    "22": "I-Qu\u00ea qu\u00e1n",
    "23": "B-Qu\u1ed1c t\u1ecbnh",
    "24": "I-Qu\u1ed1c t\u1ecbnh",
    "25": "B-Nh\u00f3m m\u00e1u",
    "26": "I-Nh\u00f3m m\u00e1u",
    "27": "B-S\u1ed1 c\u0103n c\u01b0\u1edbc c\u00f4ng d\u00e2n",
    "28": "I-S\u1ed1 c\u0103n c\u01b0\u1edbc c\u00f4ng d\u00e2n",
    "29": "B-S\u1ed1 h\u1ed9 chi\u1ebfu",
    "30": "I-S\u1ed1 h\u1ed9 chi\u1ebfu",
    "31": "B-N\u01a1i \u1edf hi\u1ec7n t\u1ea1i",
    "32": "I-N\u01a1i \u1edf hi\u1ec7n t\u1ea1i",
    "33": "B-T\u00ecnh tr\u1ea1ng h\u00f4n nh\u00e2n",
    "34": "I-T\u00ecnh tr\u1ea1ng h\u00f4n nh\u00e2n",
    "35": "B-Ng\u00e0y sinh",
    "36": "I-Ng\u00e0y sinh",
    "37": "B-Ng\u00e0nh h\u1ecdc",
    "38": "I-Ng\u00e0nh h\u1ecdc",
    "39": "B-Tr\u01b0\u1eddng h\u1ecdc",
    "40": "I-Tr\u01b0\u1eddng h\u1ecdc",
    "41": "B-B\u1eb1ng c\u1ea5p",
    "42": "I-B\u1eb1ng c\u1ea5p",
    "43": "B-Ch\u1ee9c v\u1ee5",
    "44": "I-Ch\u1ee9c v\u1ee5",
    "45": "B-S\u1edf th\u00edch",
    "46": "I-S\u1edf th\u00edch",
    "47": "B-T\u00ednh c\u00e1ch",
    "48": "I-T\u00ednh c\u00e1ch",
    "49": "B-\u0110i\u1ec3m m\u1ea1nh",
    "50": "I-\u0110i\u1ec3m m\u1ea1nh",
    "51": "B-\u0110i\u1ec3m y\u1ebfu",
    "52": "I-\u0110i\u1ec3m y\u1ebfu",
    "53": "B-Tu\u1ed5i",
    "54": "I-Tu\u1ed5i",
    "55": "B-M\u1ee5c ti\u00eau, mong mu\u1ed1n",
    "56": "I-M\u1ee5c ti\u00eau, mong mu\u1ed1n"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "0": 0,
    "B-B\u1eb1ng c\u1ea5p": 41,
    "B-Ch\u1ee9c v\u1ee5": 43,
    "B-D\u00e2n t\u1ed9c": 15,
    "B-Email": 7,
    "B-Gi\u1edbi t\u00ednh": 3,
    "B-H\u1ecd v\u00e0 t\u00ean": 1,
    "B-M\u1ee5c ti\u00eau, mong mu\u1ed1n": 55,
    "B-Ngh\u1ec7 nghi\u1ec7p": 13,
    "B-Ng\u00e0nh h\u1ecdc": 37,
    "B-Ng\u00e0y sinh": 35,
    "B-Nh\u00f3m m\u00e1u": 25,
    "B-N\u01a1i l\u00e0m vi\u1ec7c": 11,
    "B-N\u01a1i sinh": 19,
    "B-N\u01a1i \u1edf hi\u1ec7n t\u1ea1i": 31,
    "B-Qu\u00ea qu\u00e1n": 21,
    "B-Qu\u1ed1c t\u1ecbnh": 23,
    "B-S\u1ed1 c\u0103n c\u01b0\u1edbc c\u00f4ng d\u00e2n": 27,
    "B-S\u1ed1 h\u1ed9 chi\u1ebfu": 29,
    "B-S\u1ed1 \u0111i\u1ec7n tho\u1ea1i": 5,
    "B-S\u1edf th\u00edch": 45,
    "B-Tr\u01b0\u1eddng h\u1ecdc": 39,
    "B-Tu\u1ed5i": 53,
    "B-T\u00ecnh tr\u1ea1ng h\u00f4n nh\u00e2n": 33,
    "B-T\u00ednh c\u00e1ch": 47,
    "B-T\u00f4n gi\u00e1o": 17,
    "B-\u0110i\u1ec3m m\u1ea1nh": 49,
    "B-\u0110i\u1ec3m y\u1ebfu": 51,
    "B-\u0110\u1ecba ch\u1ec9": 9,
    "I-B\u1eb1ng c\u1ea5p": 42,
    "I-Ch\u1ee9c v\u1ee5": 44,
    "I-D\u00e2n t\u1ed9c": 16,
    "I-Email": 8,
    "I-Gi\u1edbi t\u00ednh": 4,
    "I-H\u1ecd v\u00e0 t\u00ean": 2,
    "I-M\u1ee5c ti\u00eau, mong mu\u1ed1n": 56,
    "I-Ngh\u1ec7 nghi\u1ec7p": 14,
    "I-Ng\u00e0nh h\u1ecdc": 38,
    "I-Ng\u00e0y sinh": 36,
    "I-Nh\u00f3m m\u00e1u": 26,
    "I-N\u01a1i l\u00e0m vi\u1ec7c": 12,
    "I-N\u01a1i sinh": 20,
    "I-N\u01a1i \u1edf hi\u1ec7n t\u1ea1i": 32,
    "I-Qu\u00ea qu\u00e1n": 22,
    "I-Qu\u1ed1c t\u1ecbnh": 24,
    "I-S\u1ed1 c\u0103n c\u01b0\u1edbc c\u00f4ng d\u00e2n": 28,
    "I-S\u1ed1 h\u1ed9 chi\u1ebfu": 30,
    "I-S\u1ed1 \u0111i\u1ec7n tho\u1ea1i": 6,
    "I-S\u1edf th\u00edch": 46,
    "I-Tr\u01b0\u1eddng h\u1ecdc": 40,
    "I-Tu\u1ed5i": 54,
    "I-T\u00ecnh tr\u1ea1ng h\u00f4n nh\u00e2n": 34,
    "I-T\u00ednh c\u00e1ch": 48,
    "I-T\u00f4n gi\u00e1o": 18,
    "I-\u0110i\u1ec3m m\u1ea1nh": 50,
    "I-\u0110i\u1ec3m y\u1ebfu": 52,
    "I-\u0110\u1ecba ch\u1ec9": 10
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.50.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}