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deid_bert_i2b2

Token Classification
Transformers
PyTorch
English
bert
deidentification
medical notes
ehr
phi
Inference Endpoints
Model card Files Community
2
deid_bert_i2b2
File size: 2,388 Bytes 
030c644
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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{
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "finetuning_task": "ner",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "B-AGE",
    "1": "B-DATE",
    "2": "B-EMAIL",
    "3": "B-HOSP",
    "4": "B-ID",
    "5": "B-LOC",
    "6": "B-OTHERPHI",
    "7": "B-PATIENT",
    "8": "B-PATORG",
    "9": "B-PHONE",
    "10": "B-STAFF",
    "11": "I-AGE",
    "12": "I-DATE",
    "13": "I-EMAIL",
    "14": "I-HOSP",
    "15": "I-ID",
    "16": "I-LOC",
    "17": "I-OTHERPHI",
    "18": "I-PATIENT",
    "19": "I-PATORG",
    "20": "I-PHONE",
    "21": "I-STAFF",
    "22": "L-AGE",
    "23": "L-DATE",
    "24": "L-EMAIL",
    "25": "L-HOSP",
    "26": "L-ID",
    "27": "L-LOC",
    "28": "L-OTHERPHI",
    "29": "L-PATIENT",
    "30": "L-PATORG",
    "31": "L-PHONE",
    "32": "L-STAFF",
    "33": "O",
    "34": "U-AGE",
    "35": "U-DATE",
    "36": "U-EMAIL",
    "37": "U-HOSP",
    "38": "U-ID",
    "39": "U-LOC",
    "40": "U-OTHERPHI",
    "41": "U-PATIENT",
    "42": "U-PATORG",
    "43": "U-PHONE",
    "44": "U-STAFF"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-AGE": 0,
    "B-DATE": 1,
    "B-EMAIL": 2,
    "B-HOSP": 3,
    "B-ID": 4,
    "B-LOC": 5,
    "B-OTHERPHI": 6,
    "B-PATIENT": 7,
    "B-PATORG": 8,
    "B-PHONE": 9,
    "B-STAFF": 10,
    "I-AGE": 11,
    "I-DATE": 12,
    "I-EMAIL": 13,
    "I-HOSP": 14,
    "I-ID": 15,
    "I-LOC": 16,
    "I-OTHERPHI": 17,
    "I-PATIENT": 18,
    "I-PATORG": 19,
    "I-PHONE": 20,
    "I-STAFF": 21,
    "L-AGE": 22,
    "L-DATE": 23,
    "L-EMAIL": 24,
    "L-HOSP": 25,
    "L-ID": 26,
    "L-LOC": 27,
    "L-OTHERPHI": 28,
    "L-PATIENT": 29,
    "L-PATORG": 30,
    "L-PHONE": 31,
    "L-STAFF": 32,
    "O": 33,
    "U-AGE": 34,
    "U-DATE": 35,
    "U-EMAIL": 36,
    "U-HOSP": 37,
    "U-ID": 38,
    "U-LOC": 39,
    "U-OTHERPHI": 40,
    "U-PATIENT": 41,
    "U-PATORG": 42,
    "U-PHONE": 43,
    "U-STAFF": 44
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "transformers_version": "4.6.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}