config.json

{
  "_name_or_path": "/home/leonardo/data/huggingface/xlm-roberta-large-spanish-clinical",
  "architectures": [
    "XLMRobertaForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "B-Dose",
    "1": "I-Dose",
    "2": "B-Form",
    "3": "I-Form",
    "4": "B-Route",
    "5": "I-Route",
    "6": "B-Contraindicated",
    "7": "I-Contraindicated",
    "8": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "B-Contraindicated": 6,
    "B-Dose": 0,
    "B-Form": 2,
    "B-Route": 4,
    "I-Contraindicated": 7,
    "I-Dose": 1,
    "I-Form": 3,
    "I-Route": 5,
    "O": 8
  },
  "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": "4.27.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}