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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Base model
allenai/scibert_scivocab_cased