config.json

{
  "architectures": [
    "Seq2LabelsModel"
  ],
  "initializer_range": 0.02,
  "label_smoothing": 0.0,
  "load_pretrained": false,
  "model_type": "bert",
  "num_detect_classes": 4,
  "pad_token_id": 0,
  "predictor_dropout": 0.0,
  "pretrained_name_or_path": "xlm-roberta-base",
  "special_tokens_fix": true,
  "torch_dtype": "float32",
  "transformers_version": "4.18.0",
  "use_cache": true,
  "vocab_size": 15
}