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connorboyle
/
bert-ner-i2b2

Token Classification
Transformers
PyTorch
Safetensors
bert
Inference Endpoints
Model card Files Community
1
bert-ner-i2b2
File size: 2,437 Bytes 
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{
  "_name_or_path": "bert-base-cased",
  "architectures": [
    "BertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": [
    "O",
    "B-AGE",
    "I-AGE",
    "B-BIOID",
    "I-BIOID",
    "B-CITY",
    "I-CITY",
    "B-COUNTRY",
    "I-COUNTRY",
    "B-DATE",
    "I-DATE",
    "B-DEVICE",
    "I-DEVICE",
    "B-DOCTOR",
    "I-DOCTOR",
    "B-EMAIL",
    "I-EMAIL",
    "B-FAX",
    "I-FAX",
    "B-HEALTHPLAN",
    "I-HEALTHPLAN",
    "B-HOSPITAL",
    "I-HOSPITAL",
    "B-IDNUM",
    "I-IDNUM",
    "B-LOCATION-OTHER",
    "I-LOCATION-OTHER",
    "B-MEDICALRECORD",
    "I-MEDICALRECORD",
    "B-ORGANIZATION",
    "I-ORGANIZATION",
    "B-PATIENT",
    "I-PATIENT",
    "B-PHONE",
    "I-PHONE",
    "B-PROFESSION",
    "I-PROFESSION",
    "B-STATE",
    "I-STATE",
    "B-STREET",
    "I-STREET",
    "B-URL",
    "I-URL",
    "B-USERNAME",
    "I-USERNAME",
    "B-ZIP",
    "I-ZIP"
  ],
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-AGE": 1,
    "B-BIOID": 3,
    "B-CITY": 5,
    "B-COUNTRY": 7,
    "B-DATE": 9,
    "B-DEVICE": 11,
    "B-DOCTOR": 13,
    "B-EMAIL": 15,
    "B-FAX": 17,
    "B-HEALTHPLAN": 19,
    "B-HOSPITAL": 21,
    "B-IDNUM": 23,
    "B-LOCATION-OTHER": 25,
    "B-MEDICALRECORD": 27,
    "B-ORGANIZATION": 29,
    "B-PATIENT": 31,
    "B-PHONE": 33,
    "B-PROFESSION": 35,
    "B-STATE": 37,
    "B-STREET": 39,
    "B-URL": 41,
    "B-USERNAME": 43,
    "B-ZIP": 45,
    "I-AGE": 2,
    "I-BIOID": 4,
    "I-CITY": 6,
    "I-COUNTRY": 8,
    "I-DATE": 10,
    "I-DEVICE": 12,
    "I-DOCTOR": 14,
    "I-EMAIL": 16,
    "I-FAX": 18,
    "I-HEALTHPLAN": 20,
    "I-HOSPITAL": 22,
    "I-IDNUM": 24,
    "I-LOCATION-OTHER": 26,
    "I-MEDICALRECORD": 28,
    "I-ORGANIZATION": 30,
    "I-PATIENT": 32,
    "I-PHONE": 34,
    "I-PROFESSION": 36,
    "I-STATE": 38,
    "I-STREET": 40,
    "I-URL": 42,
    "I-USERNAME": 44,
    "I-ZIP": 46,
    "O": 0
  },
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.12.5",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}