{
  "_name_or_path": "FacebookAI/xlm-roberta-large",
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "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": "Th\u1eddi Trang Nam",
    "1": "Th\u1eddi Trang N\u1eef",
    "2": "Th\u1eddi Trang Tr\u1ebb Em",
    "3": "Gi\u00e0y D\u00e9p N\u1eef",
    "4": "Gi\u00e0y D\u00e9p Nam",
    "5": "T\u00fai V\u00ed N\u1eef",
    "6": "Balo & T\u00fai V\u00ed Nam",
    "7": "Ph\u1ee5 Ki\u1ec7n & Trang S\u1ee9c N\u1eef",
    "8": "\u0110i\u1ec7n Tho\u1ea1i & Ph\u1ee5 Ki\u1ec7n",
    "9": "Thi\u1ebft B\u1ecb \u0110i\u1ec7n T\u1eed",
    "10": "M\u00e1y T\u00ednh & Laptop",
    "11": "M\u00e1y \u1ea2nh & M\u00e1y Quay Phim",
    "12": "Thi\u1ebft B\u1ecb \u0110i\u1ec7n Gia D\u1ee5ng",
    "13": "Nh\u00e0 C\u1eeda & \u0110\u1eddi S\u1ed1ng",
    "14": "Gi\u1eb7t Gi\u0169 & Ch\u0103m S\u00f3c Nh\u00e0 C\u1eeda",
    "15": "D\u1ee5ng C\u1ee5 & Thi\u1ebft B\u1ecb Ti\u1ec7n \u00cdch",
    "16": "S\u1eafc \u0110\u1eb9p",
    "17": "S\u1ee9c Kh\u1ecfe",
    "18": "M\u1eb9 & B\u00e9",
    "19": "\u0110\u1ed3 Ch\u01a1i",
    "20": "Th\u1ec3 Thao & Du L\u1ecbch",
    "21": "\u00d4 T\u00f4",
    "22": "Xe M\u00e1y",
    "23": "Xe \u0110\u1ea1p",
    "24": "B\u00e1ch H\u00f3a Online",
    "25": "Voucher & D\u1ecbch V\u1ee5",
    "26": "Nh\u00e0 S\u00e1ch Online",
    "27": "Ch\u0103m S\u00f3c Th\u00fa C\u01b0ng"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "Balo & T\u00fai V\u00ed Nam": 6,
    "B\u00e1ch H\u00f3a Online": 24,
    "Ch\u0103m S\u00f3c Th\u00fa C\u01b0ng": 27,
    "D\u1ee5ng C\u1ee5 & Thi\u1ebft B\u1ecb Ti\u1ec7n \u00cdch": 15,
    "Gi\u00e0y D\u00e9p Nam": 4,
    "Gi\u00e0y D\u00e9p N\u1eef": 3,
    "Gi\u1eb7t Gi\u0169 & Ch\u0103m S\u00f3c Nh\u00e0 C\u1eeda": 14,
    "M\u00e1y T\u00ednh & Laptop": 10,
    "M\u00e1y \u1ea2nh & M\u00e1y Quay Phim": 11,
    "M\u1eb9 & B\u00e9": 18,
    "Nh\u00e0 C\u1eeda & \u0110\u1eddi S\u1ed1ng": 13,
    "Nh\u00e0 S\u00e1ch Online": 26,
    "Ph\u1ee5 Ki\u1ec7n & Trang S\u1ee9c N\u1eef": 7,
    "S\u1eafc \u0110\u1eb9p": 16,
    "S\u1ee9c Kh\u1ecfe": 17,
    "Thi\u1ebft B\u1ecb \u0110i\u1ec7n Gia D\u1ee5ng": 12,
    "Thi\u1ebft B\u1ecb \u0110i\u1ec7n T\u1eed": 9,
    "Th\u1ec3 Thao & Du L\u1ecbch": 20,
    "Th\u1eddi Trang Nam": 0,
    "Th\u1eddi Trang N\u1eef": 1,
    "Th\u1eddi Trang Tr\u1ebb Em": 2,
    "T\u00fai V\u00ed N\u1eef": 5,
    "Voucher & D\u1ecbch V\u1ee5": 25,
    "Xe M\u00e1y": 22,
    "Xe \u0110\u1ea1p": 23,
    "\u00d4 T\u00f4": 21,
    "\u0110i\u1ec7n Tho\u1ea1i & Ph\u1ee5 Ki\u1ec7n": 8,
    "\u0110\u1ed3 Ch\u01a1i": 19
  },
  "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",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.48.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}