SciBERT fine-tuned on SDG data

SciBERT fine-tuned on a custom dataset to predict the correct SDG class based on a scientific publication abstract.

Data

The training set consisted of 630 pairs of (abstract, sdg) with a balanced class distribution. The test set contains 271 samples.

Performance

Metric Value
Accuracy 0.7528
F1 0.7465
Recall 0.7528
Precision 0.7507
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