| # Span Identification Adapter | |
| This adapter was trained for span identification in Ukrainian news text. | |
| ## Usage | |
| ```python | |
| from adapters import AutoAdapterModel | |
| # Load base model | |
| model = AutoAdapterModel.from_pretrained("xlm-roberta-base") | |
| # Load this adapter | |
| adapter_name = model.load_adapter("dariast/span-identification-adapter", source="hf") | |
| # Add classification head (if not already present) | |
| model.add_tagging_head( | |
| adapter_name, | |
| num_labels=2, | |
| id2label={0: "NON-SPAN", 1: "SPAN"} | |
| ) | |
| # Activate adapter | |
| model.set_active_adapters(adapter_name) | |
| ``` | |
| ## Performance | |
| - Best F1 Score: 0.5849 | |
| - From 5-fold cross-validation | |
| - Trained on Ukrainian news span identification task | |