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pucpr
/
clinicalnerpt-quantitative

Token Classification
Transformers
PyTorch
Portuguese
bert
Inference Endpoints
Model card Files Community
1
lisaterumi commited on
Commit
f6c05b2
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1 Parent(s): f4ebe87

readme

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Files changed (1) hide show
  1. config.json +7 -7
config.json CHANGED
@@ -1,6 +1,6 @@
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  {
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  "_name_or_path": "pucpr/biobertpt-all",
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- "_num_labels": 2,
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  "architectures": [
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  "BertForTokenClassification"
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  ],
@@ -12,16 +12,16 @@
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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- "0": "LABEL_0",
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- "1": "LABEL_1",
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- "2": "LABEL_2"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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- "LABEL_0": 0,
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- "LABEL_1": 1,
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- "LABEL_2": 2
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,
 
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  {
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  "_name_or_path": "pucpr/biobertpt-all",
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+ "_num_labels": 3,
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  "architectures": [
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  "BertForTokenClassification"
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  ],
 
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  "hidden_dropout_prob": 0.1,
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  "hidden_size": 768,
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  "id2label": {
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+ "0": "O",
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+ "1": "B-QuantitativeConcept",
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+ "2": "I-QuantitativeConcept"
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  },
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  "initializer_range": 0.02,
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  "intermediate_size": 3072,
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  "label2id": {
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+ "O": 0,
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+ "B-QuantitativeConcept": 1,
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+ "I-QuantitativeConcept": 2
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  },
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  "layer_norm_eps": 1e-12,
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  "max_position_embeddings": 512,