Transformer-DeID: Deidentification of free-text clinical notes with transformers 1.0.0

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  "attention_dropout": 0.1,
  "dim": 768,
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  "hidden_dim": 3072,
  "id2label": {
    "0": "O",
    "1": "AGE",
    "2": "CONTACT",
    "3": "DATE",
    "4": "ID",
    "5": "LOCATION",
    "6": "NAME",
    "7": "PROFESSION"
  },
  "initializer_range": 0.02,
  "label2id": {
    "AGE": 1,
    "CONTACT": 2,
    "DATE": 3,
    "ID": 4,
    "LOCATION": 5,
    "NAME": 6,
    "O": 0,
    "PROFESSION": 7
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "output_past": true,
  "pad_token_id": 0,
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  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.21.2",
  "vocab_size": 28996
}