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bert-base-uncased-finetuned-ner-biobert

Token Classification
Transformers
Safetensors
bert
Generated from Trainer
Inference Endpoints
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bert-base-uncased-finetuned-ner-biobert
File size: 2,020 Bytes 
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{
  "_name_or_path": "bert-base-uncased",
  "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": {
    "0": "B-DISEASE",
    "1": "B-CHEMOTHERAPY",
    "2": "B-DATE",
    "3": "B-DRUG",
    "4": "B-FAMILY_MEMBER",
    "5": "B-FREQUENCY",
    "6": "B-AGE_RANGE",
    "7": "B-QUANTITY",
    "8": "I-DURATION",
    "9": "B-ACTION",
    "10": "B-NUMBER",
    "11": "B-RADIOTHERAPY",
    "12": "B-SMOKER_STATUS",
    "13": "B-STAGE",
    "14": "B-SURGERY",
    "15": "B-TNM",
    "16": "I-DISEASE",
    "17": "I-DATE",
    "18": "I-RANGE",
    "19": "B-ATTRIBUTE",
    "20": "I-FREQUENCY",
    "21": "I-DURATION",
    "22": "I-OTHER",
    "23": "B-OCCURRENCE",
    "24": "B-ACTION_DETAIL",
    "25": "I-ACTION_DETAIL",
    "26": "I-STAGE",
    "27": "I-SURGERY",
    "28": "I-TNM",
    "29": "O"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "B-ACTION": 9,
    "B-ACTION_DETAIL": 24,
    "B-AGE_RANGE": 6,
    "B-ATTRIBUTE": 19,
    "B-CHEMOTHERAPY": 1,
    "B-DATE": 2,
    "B-DISEASE": 0,
    "B-DRUG": 3,
    "B-FAMILY_MEMBER": 4,
    "B-FREQUENCY": 5,
    "B-NUMBER": 10,
    "B-OCCURRENCE": 23,
    "B-QUANTITY": 7,
    "B-RADIOTHERAPY": 11,
    "B-SMOKER_STATUS": 12,
    "B-STAGE": 13,
    "B-SURGERY": 14,
    "B-TNM": 15,
    "I-ACTION_DETAIL": 25,
    "I-DATE": 17,
    "I-DISEASE": 16,
    "I-DURATION": 21,
    "I-FREQUENCY": 20,
    "I-OTHER": 22,
    "I-RANGE": 18,
    "I-STAGE": 26,
    "I-SURGERY": 27,
    "I-TNM": 28,
    "O": 29
  },
  "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": "4.45.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}