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rmihaylov
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bert-base-ner-theseus-bg

Token Classification
Transformers
PyTorch
Bulgarian
bert
torch
Model card Files Community
1
bert-base-ner-theseus-bg
File size: 2,088 Bytes 
0a6b5f7
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "/content/drive/MyDrive/ColabModels/MBERT_NER_THESEUS/pytorch_model/",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "by_layer_is_trainable": {
    "0": true,
    "1": true,
    "10": true,
    "11": true,
    "12": true,
    "13": true,
    "14": true,
    "15": true,
    "16": true,
    "17": true,
    "18": true,
    "19": true,
    "2": true,
    "20": true,
    "21": true,
    "22": true,
    "23": true,
    "3": true,
    "4": true,
    "5": true,
    "6": true,
    "7": true,
    "8": true,
    "9": true
  },
  "classifier_dropout": null,
  "cls_trainable": true,
  "directionality": "bidi",
  "embedding_postprocessor_trainable": true,
  "embeddings_layer_norm_trainable": true,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "[PAD]",
    "2": "[SEP]",
    "3": "B-PRO",
    "4": "I-PRO",
    "5": "B-PER",
    "6": "I-PER",
    "7": "B-ORG",
    "8": "I-ORG",
    "9": "B-LOC",
    "10": "I-LOC",
    "11": "B-EVT",
    "12": "I-EVT"
  },
  "init_optimizer_variables": true,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-EVT": 11,
    "B-LOC": 9,
    "B-ORG": 7,
    "B-PER": 5,
    "B-PRO": 3,
    "I-EVT": 12,
    "I-LOC": 10,
    "I-ORG": 8,
    "I-PER": 6,
    "I-PRO": 4,
    "O": 0,
    "[PAD]": 1,
    "[SEP]": 2
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 6,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_trainable": true,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "position_embeddings_trainable": true,
  "token_type_trainable": true,
  "torch_dtype": "float32",
  "transformer_trainable": true,
  "transformers_version": "4.18.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547,
  "word_embeddings_trainable": true
}