en_med12_trf / README.md
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metadata
tags:
  - spacy
  - token-classification
  - text-classification
language:
  - en
model-index:
  - name: en_med12_trf
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.8398220245
          - name: NER Recall
            type: recall
            value: 0.8445190157
          - name: NER F Score
            type: f_score
            value: 0.842163971
Feature Description
Name en_med12_trf
Version 1
spaCy >=3.4.1,<3.5.0
Default Pipeline transformer, ner, textcat
Components transformer, ner, textcat
Vectors 0 keys, 0 unique vectors (0 dimensions)
Sources n/a
License Apache License, Version 2.0
Author Karl Renius

Label Scheme

View label scheme (14 labels for 2 components)
Component Labels
ner Denominator_Unit, Denominator_Value, Dose_Form, Medication_Name, NDC, Numerator_Unit, Numerator_Value, Product_Package_Type, Product_Package_Type_Value, Quantity_Factor_Unit, Quantity_Factor_Unit_Value, Quantity_Factor_Value
textcat OTHER, MEDICATION

Accuracy

Type Score
ENTS_F 84.22
ENTS_P 83.98
ENTS_R 84.45
CATS_SCORE 93.88
CATS_MICRO_P 89.78
CATS_MICRO_R 97.98
CATS_MICRO_F 93.70
CATS_MACRO_P 90.29
CATS_MACRO_R 97.93
CATS_MACRO_F 93.88
CATS_MACRO_AUC 98.53
CATS_MACRO_AUC_PER_TYPE 0.00
TRANSFORMER_LOSS 152780.09
NER_LOSS 69513.43
TEXTCAT_LOSS 1868.30