metadata

datasets:
  - albertmartinez/OSDG
license: mit
metrics:
  - accuracy
  - precision
  - recall
  - f1
pipeline_tag: text-classification
widget:
  - text: >-
      Between the Social and the Spatial - Exploring Multiple Dimensions of
      Poverty and Social Exclusion, Ashgate. Poverty in Europe and the USA,
      Exchanging Official Measurement Methods”, Maastricht Graduate School of
      Governance Working Paper 2007/005. Monitoring Absolute and Relative
      Poverty, ‘Not Enough’ Is Not the Same as ‘Much Less’”, Review of Income
      and Wealth, 57(2), 247-269. Poverty and Social Exclusion in Britain, The
      Policy Press, Bristol.
  - text: >-
      A circular economy is a way of achieving sustainable consumption and
      production, as well as nature positive outcomes.
model-index:
  - name: albertmartinez/bert-multilingual-sdg-classification
    results:
      - task:
          type: text-generation
          name: Text Generation
        dataset:
          name: albertmartinez/OSDG
          type: albertmartinez/OSDG
          split: test
        metrics:
          - type: accuracy
            value: 0.8063482135876788
            name: accuracy

albertmartinez/bert-multilingual-sdg-classification

This model (BERT) is for classifying text with respect to the United Nations sustainable development goals (SDG).

Training results

epoch	eval_loss	eval_accuracy	eval_precision	eval_recall	eval_f1
1	0.932697594165802	0.7336408412164803	0.7360917875267202	0.7336408412164803	0.7251914694909984
2	0.7605898976325989	0.777343444609491	0.7831176862515112	0.777343444609491	0.777992037469195
3	0.7255606651306152	0.7918849190837307	0.7922937492519824	0.7918849190837307	0.7897436793752113
4	0.7620322108268738	0.782581502619029	0.791463371337951	0.782581502619029	0.7836557631495363
5	0.7925569415092468	0.7989211164099758	0.7987793726148532	0.7989211164099758	0.7976319242111907
6	0.8901194930076599	0.8008756156672661	0.8026922096228485	0.8008756156672661	0.7999251604304751
7	0.9644309878349304	0.797044797122977	0.7998531076533889	0.797044797122977	0.7979133030034837
8	1.0754749774932861	0.8050973340630131	0.8031314135784893	0.8050973340630131	0.8026788633046699
9	1.1106163263320923	0.8066609334688453	0.806263013139723	0.8066609334688453	0.8061921653404509
10	1.1396784782409668	0.8066609334688453	0.8056981354865757	0.8066609334688453	0.8059943909432397