---
license: mit
metrics:
- accuracy
- precision
- recall
- f1
datasets:
- albertmartinez/OSDG
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."
---

# albertmartinez/bert-sdg-classification

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

## Training Hyperparameters

- Num_epoch = 10
- Learning rate = 5e-5
- Batch size = 16

### Training results

| epoch | eval_loss          | eval_accuracy      | eval_precision     | eval_recall        | eval_f1            |
|:-----:|:------------------:|:------------------:|:------------------:|:------------------:|:------------------:|
| 1     | 0.8289520740509033 | 0.7644437495113752 | 0.7640369944809821 | 0.7644437495113752 | 0.7554162181382816 |
| 2     | 0.7316043972969055 | 0.792432178875772  | 0.7973419054011932 | 0.792432178875772  | 0.7936523802626467 |
| 3     | 0.7474315762519836 | 0.7989992963802673 | 0.8003484834993271 | 0.7989992963802673 | 0.7980647892639322 |
| 4     | 0.9092283248901367 | 0.8023610351028067 | 0.8028028170382215 | 0.8023610351028067 | 0.8010556735181147 |
| 5     | 1.0973293781280518 | 0.8040028144789305 | 0.806116786873114  | 0.8040028144789305 | 0.8037135940426907 |
| 6     | 1.2260032892227173 | 0.8032210147760144 | 0.8046046540363118 | 0.8032210147760144 | 0.8009496362737498 |
| 7     | 1.3465653657913208 | 0.8082245328746775 | 0.8079189056438383 | 0.8082245328746775 | 0.8070935517356475 |
| 8     | 1.458662509918213  | 0.8132280509733406 | 0.8124031757212116 | 0.8132280509733406 | 0.8124964838774498 |
| 9     | 1.5251907110214233 | 0.8108044718943007 | 0.8112362484949358 | 0.8108044718943007 | 0.8097338645156864 |
| 10    | 1.50314199924469   | 0.8152607302009225 | 0.8143774938584517 | 0.8152607302009225 | 0.8144630791491494 |