--- 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 |