config.json

{
  "_name_or_path": "NlpHUST/ner-vietnamese-electra-base",
  "adaptive": true,
  "architectures": [
    "LSGElectraForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "auto_map": {
    "AutoConfig": "modeling_lsg_electra.LSGElectraConfig",
    "AutoModel": "modeling_lsg_electra.LSGElectraModel",
    "AutoModelForCausalLM": "modeling_lsg_electra.LSGElectraForCausalLM",
    "AutoModelForMaskedLM": "modeling_lsg_electra.LSGElectraForMaskedLM",
    "AutoModelForMultipleChoice": "modeling_lsg_electra.LSGElectraForMultipleChoice",
    "AutoModelForPreTraining": "modeling_lsg_electra.LSGElectraForPreTraining",
    "AutoModelForQuestionAnswering": "modeling_lsg_electra.LSGElectraForQuestionAnswering",
    "AutoModelForSequenceClassification": "modeling_lsg_electra.LSGElectraForSequenceClassification",
    "AutoModelForTokenClassification": "modeling_lsg_electra.LSGElectraForTokenClassification"
  },
  "base_model_prefix": "lsg",
  "block_size": 128,
  "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,
  "lsh_num_pre_rounds": 1,
  "mask_first_token": false,
  "max_position_embeddings": 1024,
  "model_type": "electra",
  "num_attention_heads": 12,
  "num_global_tokens": 1,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pool_with_global": true,
  "position_embedding_type": "absolute",
  "sparse_block_size": 128,
  "sparsity_factor": 2,
  "sparsity_type": "norm",
  "summary_activation": "gelu",
  "summary_last_dropout": 0.1,
  "summary_type": "first",
  "summary_use_proj": true,
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 62000
}