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Update spaCy pipeline
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metadata
tags:
  - spacy
  - token-classification
  - text-classification
language:
  - en
model-index:
  - name: en_med12_trf_weakly_supervised
    results:
      - task:
          name: NER
          type: token-classification
        metrics:
          - name: NER Precision
            type: precision
            value: 0.9995091177
          - name: NER Recall
            type: recall
            value: 0.9983655976
          - name: NER F Score
            type: f_score
            value: 0.9989370304
Feature Description
Name en_med12_trf_weakly_supervised
Version 0.0.0
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 n/a
Author n/a

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 99.89
ENTS_P 99.95
ENTS_R 99.84
CATS_SCORE 100.00
CATS_MICRO_P 100.00
CATS_MICRO_R 100.00
CATS_MICRO_F 100.00
CATS_MACRO_P 100.00
CATS_MACRO_R 100.00
CATS_MACRO_F 100.00
CATS_MACRO_AUC 100.00
CATS_MACRO_AUC_PER_TYPE 0.00
TRANSFORMER_LOSS 18547.50
NER_LOSS 153097.22
TEXTCAT_LOSS 0.00