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": "O",
    "1": "S\u1ea3n ph\u1ea9m",
    "2": "S\u1ed1 l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m",
    "3": "\u0110\u01a1n v\u1ecb s\u1ea3n ph\u1ea9m",
    "4": "M\u00e0u s\u1eafc s\u1ea3n ph\u1ea9m",
    "5": "M\u00e0u da",
    "6": "C\u00e2n n\u1eb7ng kh\u00e1ch h\u00e0ng",
    "7": "Cung m\u1ec7nh",
    "8": "Cung ho\u00e0ng \u0111\u1ea1o",
    "9": "Lo\u1ea1i da",
    "10": "Gi\u00e1 s\u1ea3n ph\u1ea9m",
    "11": "D\u00e1ng khu\u00f4n m\u1eb7t",
    "12": "\u0110\u1ed9 d\u00e0i t\u00f3c",
    "13": "M\u1eadt \u0111\u1ed9 t\u00f3c",
    "14": "Chi\u1ec1u cao kh\u00e1ch h\u00e0ng",
    "15": "M\u00e3 s\u1ea3n ph\u1ea9m",
    "16": "Kh\u1ed1i l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m",
    "17": "S\u1ed1 \u0111o v\u00f2ng",
    "18": "Chi\u1ec1u d\u00e0i s\u1ea3n ph\u1ea9m",
    "19": "Chi\u1ec1u r\u1ed9ng s\u1ea3n ph\u1ea9m"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "Chi\u1ec1u cao kh\u00e1ch h\u00e0ng": 14,
    "Chi\u1ec1u d\u00e0i s\u1ea3n ph\u1ea9m": 18,
    "Chi\u1ec1u r\u1ed9ng s\u1ea3n ph\u1ea9m": 19,
    "Cung ho\u00e0ng \u0111\u1ea1o": 8,
    "Cung m\u1ec7nh": 7,
    "C\u00e2n n\u1eb7ng kh\u00e1ch h\u00e0ng": 6,
    "D\u00e1ng khu\u00f4n m\u1eb7t": 11,
    "Gi\u00e1 s\u1ea3n ph\u1ea9m": 10,
    "Kh\u1ed1i l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m": 16,
    "Lo\u1ea1i da": 9,
    "M\u00e0u da": 5,
    "M\u00e0u s\u1eafc s\u1ea3n ph\u1ea9m": 4,
    "M\u00e3 s\u1ea3n ph\u1ea9m": 15,
    "M\u1eadt \u0111\u1ed9 t\u00f3c": 13,
    "O": 0,
    "S\u1ea3n ph\u1ea9m": 1,
    "S\u1ed1 l\u01b0\u1ee3ng s\u1ea3n ph\u1ea9m": 2,
    "S\u1ed1 \u0111o v\u00f2ng": 17,
    "\u0110\u01a1n v\u1ecb s\u1ea3n ph\u1ea9m": 3,
    "\u0110\u1ed9 d\u00e0i t\u00f3c": 12
  },
  "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": "4.44.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}