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{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "dtype": "float32",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Bi\u1ec3u hi\u1ec7n l\u00e2m s\u00e0ng ch\u01b0a ph\u00e2n lo\u1ea1i.",
    "1": "Bi\u1ec3u hi\u1ec7n: nhi\u1ec5m tr\u00f9ng.",
    "2": "Bi\u1ec3u hi\u1ec7n: tim m\u1ea1ch.",
    "3": "B\u1ec7nh l\u00fd n\u1ed9i khoa m\u00e3n t\u00ednh",
    "4": "Ch\u1ea5n th\u01b0\u01a1ng / Ngo\u1ea1i khoa",
    "5": "H\u1ed9i ch\u1ee9ng: h\u00f4 h\u1ea5p",
    "6": "H\u1ed9i ch\u1ee9ng: ti\u00eau ho\u00e1",
    "7": "H\u1ed9i ch\u1ee9ng: ti\u00eau ho\u00e1 tr\u00ean."
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Bi\u1ec3u hi\u1ec7n l\u00e2m s\u00e0ng ch\u01b0a ph\u00e2n lo\u1ea1i.": 0,
    "Bi\u1ec3u hi\u1ec7n: nhi\u1ec5m tr\u00f9ng.": 1,
    "Bi\u1ec3u hi\u1ec7n: tim m\u1ea1ch.": 2,
    "B\u1ec7nh l\u00fd n\u1ed9i khoa m\u00e3n t\u00ednh": 3,
    "Ch\u1ea5n th\u01b0\u01a1ng / Ngo\u1ea1i khoa": 4,
    "H\u1ed9i ch\u1ee9ng: h\u00f4 h\u1ea5p": 5,
    "H\u1ed9i ch\u1ee9ng: ti\u00eau ho\u00e1": 6,
    "H\u1ed9i ch\u1ee9ng: ti\u00eau ho\u00e1 tr\u00ean.": 7
  },
  "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",
  "problem_type": "single_label_classification",
  "transformers_version": "4.57.3",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}