config.json

{
  "_name_or_path": "xlm-roberta-large",
  "architectures": [
    "XLMRobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "B-rating",
    "1": "I-rating",
    "2": "O",
    "3": "B-amenity",
    "4": "I-amenity",
    "5": "B-location",
    "6": "I-location",
    "7": "B-restaurant",
    "8": "I-restaurant",
    "9": "B-money",
    "10": "B-time",
    "11": "I-time",
    "12": "B-dish",
    "13": "I-dish",
    "14": "B-cuisine",
    "15": "I-money",
    "16": "I-cuisine"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "B-amenity": 3,
    "B-cuisine": 14,
    "B-dish": 12,
    "B-location": 5,
    "B-money": 9,
    "B-rating": 0,
    "B-restaurant": 7,
    "B-time": 10,
    "I-amenity": 4,
    "I-cuisine": 16,
    "I-dish": 13,
    "I-location": 6,
    "I-money": 15,
    "I-rating": 1,
    "I-restaurant": 8,
    "I-time": 11,
    "O": 2
  },
  "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,
  "type_vocab_size": 1,
  "vocab_size": 250002
}