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mdeberta-ner-ghtk-cs-new-data-3090-8Nov-1

Token Classification
Transformers
Safetensors
deberta-v2
Generated from Trainer
Inference Endpoints
Model card Files Community
mdeberta-ner-ghtk-cs-new-data-3090-8Nov-1
File size: 2,344 Bytes 
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{
  "_name_or_path": "microsoft/mdeberta-v3-base",
  "architectures": [
    "DebertaV2ForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Email",
    "1": "O",
    "2": "S\u0110T",
    "3": "M\u00e3 \u0111\u01a1n",
    "4": "Ti\u1ec1n",
    "5": "Ph\u01b0\u01a1ng th\u1ee9c thanh to\u00e1n",
    "6": "Gi\u1edd",
    "7": "Ng\u00e0y tr\u1eebu t\u01b0\u1ee3ng",
    "8": "\u0110\u01a1n v\u1ecb \u0111o",
    "9": "CCCD - CMT",
    "10": "STK",
    "11": "Ng\u00e2n h\u00e0ng",
    "12": "Ca",
    "13": "S\u1ea3n ph\u1ea9m c\u1ee5 th\u1ec3",
    "14": "Ng\u00e0y",
    "15": "T\u00ean ng\u01b0\u1eddi",
    "16": "Kh\u1ed1i l\u01b0\u1ee3ng",
    "17": "\u0110\u1ecba ch\u1ec9 c\u1ee5 th\u1ec3",
    "18": "S\u0110T tr\u1eebu t\u01b0\u1ee3ng",
    "19": "\u0110\u1ecba ch\u1ec9 tr\u1eebu t\u01b0\u1ee3ng",
    "20": "S\u1ea3n ph\u1ea9m tr\u1eebu t\u01b0\u1ee3ng"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "CCCD - CMT": 9,
    "Ca": 12,
    "Email": 0,
    "Gi\u1edd": 6,
    "Kh\u1ed1i l\u01b0\u1ee3ng": 16,
    "M\u00e3 \u0111\u01a1n": 3,
    "Ng\u00e0y": 14,
    "Ng\u00e0y tr\u1eebu t\u01b0\u1ee3ng": 7,
    "Ng\u00e2n h\u00e0ng": 11,
    "O": 1,
    "Ph\u01b0\u01a1ng th\u1ee9c thanh to\u00e1n": 5,
    "STK": 10,
    "S\u0110T": 2,
    "S\u0110T tr\u1eebu t\u01b0\u1ee3ng": 18,
    "S\u1ea3n ph\u1ea9m c\u1ee5 th\u1ec3": 13,
    "S\u1ea3n ph\u1ea9m tr\u1eebu t\u01b0\u1ee3ng": 20,
    "Ti\u1ec1n": 4,
    "T\u00ean ng\u01b0\u1eddi": 15,
    "\u0110\u01a1n v\u1ecb \u0111o": 8,
    "\u0110\u1ecba ch\u1ec9 c\u1ee5 th\u1ec3": 17,
    "\u0110\u1ecba ch\u1ec9 tr\u1eebu t\u01b0\u1ee3ng": 19
  },
  "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": "4.45.0",
  "type_vocab_size": 0,
  "vocab_size": 251000
}