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nhanv
/
ner_cv

Token Classification
Transformers
PyTorch
deberta-v2
Generated from Trainer
Inference Endpoints
Model card Files Community
1
ner_cv
File size: 2,609 Bytes 
dd20389
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "_name_or_path": "microsoft/deberta-v3-base",
  "architectures": [
    "DebertaV2ForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "finetuning_task": "ner",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-Company",
    "1": "B-Date",
    "2": "B-Degree",
    "3": "B-Education",
    "4": "B-Email",
    "5": "B-Experiments",
    "6": "B-Gender",
    "7": "B-Institution",
    "8": "B-Job",
    "9": "B-Language",
    "10": "B-Location",
    "11": "B-Name",
    "12": "B-Overall",
    "13": "B-Phone",
    "14": "B-Position",
    "15": "B-Program",
    "16": "B-Project",
    "17": "B-Skill",
    "18": "B-Training",
    "19": "I-Company",
    "20": "I-Date",
    "21": "I-Degree",
    "22": "I-Education",
    "23": "I-Email",
    "24": "I-Experiments",
    "25": "I-Gender",
    "26": "I-Institution",
    "27": "I-Job",
    "28": "I-Language",
    "29": "I-Location",
    "30": "I-Name",
    "31": "I-Overall",
    "32": "I-Phone",
    "33": "I-Position",
    "34": "I-Program",
    "35": "I-Project",
    "36": "I-Skill",
    "37": "I-Training",
    "38": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-Company": 0,
    "B-Date": 1,
    "B-Degree": 2,
    "B-Education": 3,
    "B-Email": 4,
    "B-Experiments": 5,
    "B-Gender": 6,
    "B-Institution": 7,
    "B-Job": 8,
    "B-Language": 9,
    "B-Location": 10,
    "B-Name": 11,
    "B-Overall": 12,
    "B-Phone": 13,
    "B-Position": 14,
    "B-Program": 15,
    "B-Project": 16,
    "B-Skill": 17,
    "B-Training": 18,
    "I-Company": 19,
    "I-Date": 20,
    "I-Degree": 21,
    "I-Education": 22,
    "I-Email": 23,
    "I-Experiments": 24,
    "I-Gender": 25,
    "I-Institution": 26,
    "I-Job": 27,
    "I-Language": 28,
    "I-Location": 29,
    "I-Name": 30,
    "I-Overall": 31,
    "I-Phone": 32,
    "I-Position": 33,
    "I-Program": 34,
    "I-Project": 35,
    "I-Skill": 36,
    "I-Training": 37,
    "O": 38
  },
  "layer_norm_eps": 1e-07,
  "max_position_embeddings": 512,
  "max_relative_positions": -1,
  "model_type": "deberta-v2",
  "norm_rel_ebd": "layer_norm",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_dropout": 0,
  "pooler_hidden_act": "gelu",
  "pooler_hidden_size": 768,
  "pos_att_type": [
    "p2c",
    "c2p"
  ],
  "position_biased_input": false,
  "position_buckets": 256,
  "relative_attention": true,
  "share_att_key": true,
  "torch_dtype": "float32",
  "transformers_version": "4.22.2",
  "type_vocab_size": 0,
  "vocab_size": 128100
}