config.json

{
  "_name_or_path": "FacebookAI/xlm-roberta-large",
  "architectures": [
    "XLMRobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "Email",
    "1": "O",
    "2": "Ph\u01b0\u01a1ng th\u1ee9c thanh to\u00e1n",
    "3": "M\u00e3 \u0111\u01a1n",
    "4": "Ti\u1ec1n",
    "5": "\u0110\u1ecba ch\u1ec9 tr\u1eebu t\u01b0\u1ee3ng",
    "6": "Ca",
    "7": "Ng\u00e0y tr\u1eebu t\u01b0\u1ee3ng",
    "8": "Gi\u1edd",
    "9": "\u0110\u01a1n v\u1ecb \u0111o",
    "10": "T\u00ean ng\u01b0\u1eddi",
    "11": "\u0110\u1ecba ch\u1ec9 c\u1ee5 th\u1ec3",
    "12": "STK",
    "13": "Ng\u00e2n h\u00e0ng",
    "14": "S\u0110T tr\u1eebu t\u01b0\u1ee3ng",
    "15": "S\u1ea3n ph\u1ea9m c\u1ee5 th\u1ec3",
    "16": "Ng\u00e0y",
    "17": "Kh\u1ed1i l\u01b0\u1ee3ng",
    "18": "S\u1ea3n ph\u1ea9m tr\u1eebu t\u01b0\u1ee3ng"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "Ca": 6,
    "Email": 0,
    "Gi\u1edd": 8,
    "Kh\u1ed1i l\u01b0\u1ee3ng": 17,
    "M\u00e3 \u0111\u01a1n": 3,
    "Ng\u00e0y": 16,
    "Ng\u00e0y tr\u1eebu t\u01b0\u1ee3ng": 7,
    "Ng\u00e2n h\u00e0ng": 13,
    "O": 1,
    "Ph\u01b0\u01a1ng th\u1ee9c thanh to\u00e1n": 2,
    "STK": 12,
    "S\u0110T tr\u1eebu t\u01b0\u1ee3ng": 14,
    "S\u1ea3n ph\u1ea9m c\u1ee5 th\u1ec3": 15,
    "S\u1ea3n ph\u1ea9m tr\u1eebu t\u01b0\u1ee3ng": 18,
    "Ti\u1ec1n": 4,
    "T\u00ean ng\u01b0\u1eddi": 10,
    "\u0110\u01a1n v\u1ecb \u0111o": 9,
    "\u0110\u1ecba ch\u1ec9 c\u1ee5 th\u1ec3": 11,
    "\u0110\u1ecba ch\u1ec9 tr\u1eebu t\u01b0\u1ee3ng": 5
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.40.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}