config.json

{
  "_name_or_path": "xlm-roberta-base",
  "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": 768,
  "id2label": {
    "0": "O",
    "1": "B-location",
    "2": "I-location",
    "3": "B-group",
    "4": "B-corporation",
    "5": "B-person",
    "6": "B-work of art",
    "7": "B-product",
    "8": "I-person",
    "9": "I-work of art",
    "10": "I-corporation",
    "11": "I-group",
    "12": "I-product"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-corporation": 4,
    "B-group": 3,
    "B-location": 1,
    "B-person": 5,
    "B-product": 7,
    "B-work of art": 6,
    "I-corporation": 10,
    "I-group": 11,
    "I-location": 2,
    "I-person": 8,
    "I-product": 12,
    "I-work of art": 9,
    "O": 0
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "type_vocab_size": 1,
  "vocab_size": 250002
}