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ner-education-hcmut

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ner-education-hcmut
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{
  "_name_or_path": "NlpHUST/ner-vietnamese-electra-base",
  "architectures": [
    "ElectraForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "embedding_size": 768,
  "finetuning_task": "ner",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-LOCATION",
    "1": "B-MISCELLANEOUS",
    "2": "B-ORGANIZATION",
    "3": "B-PERSON",
    "4": "I-LOCATION",
    "5": "I-MISCELLANEOUS",
    "6": "I-ORGANIZATION",
    "7": "I-PERSON",
    "8": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-LOCATION": 0,
    "B-MISCELLANEOUS": 1,
    "B-ORGANIZATION": 2,
    "B-PERSON": 3,
    "I-LOCATION": 4,
    "I-MISCELLANEOUS": 5,
    "I-ORGANIZATION": 6,
    "I-PERSON": 7,
    "O": 8
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "electra",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "summary_activation": "gelu",
  "summary_last_dropout": 0.1,
  "summary_type": "first",
  "summary_use_proj": true,
  "torch_dtype": "float32",
  "transformers_version": "4.42.4",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 62000
}