{
  "_name_or_path": "VietAI/vit5-base",
  "architectures": [
    "T5ForTokenClassification"
  ],
  "classifier_dropout": 0.0,
  "d_ff": 3072,
  "d_kv": 64,
  "d_model": 768,
  "decoder_start_token_id": 0,
  "dense_act_fn": "relu",
  "dropout_rate": 0.1,
  "eos_token_id": 1,
  "feed_forward_proj": "relu",
  "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_factor": 1.0,
  "is_encoder_decoder": true,
  "is_gated_act": false,
  "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_epsilon": 1e-06,
  "model_type": "t5",
  "n_positions": 512,
  "num_decoder_layers": 12,
  "num_heads": 12,
  "num_layers": 12,
  "output_past": true,
  "pad_token_id": 0,
  "relative_attention_max_distance": 128,
  "relative_attention_num_buckets": 32,
  "torch_dtype": "float32",
  "transformers_version": "4.44.0",
  "use_cache": true,
  "vocab_size": 36096
}