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": "S\u0110T",
    "1": "O",
    "2": "M\u00e3 \u0111\u01a1n",
    "3": "Ng\u00e0y tr\u1eebu t\u01b0\u1ee3ng",
    "4": "STK",
    "5": "S\u0110T tr\u1eebu t\u01b0\u1ee3ng",
    "6": "Ng\u00e0y"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "M\u00e3 \u0111\u01a1n": 2,
    "Ng\u00e0y": 6,
    "Ng\u00e0y tr\u1eebu t\u01b0\u1ee3ng": 3,
    "O": 1,
    "STK": 4,
    "S\u0110T": 0,
    "S\u0110T 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": "4.44.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}