This model is able to classify texts related to United Nations sustainable development goals (SDG) in multiple languages.
This text classification model was developed by fine-tuning the bert-base-uncased pre-trained model. The training data for this fine-tuned model was sourced from the publicly available OSDG Community Dataset (OSDG-CD) at
https://zenodo.org/record/5550238#.ZBulfcJByF4.
This model was made as part of academic research at Deakin University. The goal was to make a transformer-based SDG text classification model that anyone could use. Only the first 16 UN SDGs supported. The primary model details are highlighted below:
This is a fine-tuned model and therefore requires no further training.
The training data includes text from 1.4 titles and abstracts of academic research papers, labeled with SDG Goals and Targets, according to an initial validated query.
Data evaluated by 244 domain expert senior researchers.
See evaluation report on the training data here:
https://doi.org/10.5281/zenodo.4917107See evaluation report on the model here:
https://doi.org/10.5281/zenodo.5603019
