nicolauduran45
/

horizon-clusters-classifier

@@ -1,199 +1,87 @@
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 ---
 library_name: transformers
+license: apache-2.0
+base_model:
+- allenai/specter2_base
+pipeline_tag: text-classification
 ---
+# SPECTER2-base Multilabel Horizon Clusters Classifier
+This model is based on **[SPECTER2-base](https://huggingface.co/allenai/specter2_base)**, fine-tuned for multilabel classification of scientific publications into Horizon Europe clusters.
+---
+## Model Description
+- **Base model:** [allenai/specter2_base](https://huggingface.co/allenai/specter2_base)
+- **Task:** Multilabel classification (assigns one or more clusters per document)
+- **Labels:** 6 Horizon Europe clusters (see below)
+- **Languages:** English
+- **Input:** Title and abstract concatenated
+---
 ## Training Details
+- **Training framework:** Hugging Face Transformers (`Trainer`)
+- **Batch size:** 4
+- **Learning rate:** 2e-5
+- **Epochs:** 6
+- **Optimizer:** AdamW with weight decay 0.01
+- **Loss:** Binary Cross-Entropy with Logits
+- **Best model selection:** F1-score on validation set
+---
+## Clusters (Labels)
+- Civil Security for Society
+- Climate, Energy and Mobility
+- Culture, Creativity and Inclusive Society
+- Digital, Industry and Space
+- Food, Bioeconomy, Natural Resources, Agriculture and Environment
+- Health
+---
+## Evaluation Metrics
+| Epoch | Training Loss | Validation Loss | F1       | ROC AUC   | Accuracy |
+|-------|--------------|----------------|----------|-----------|----------|
+| 1     | No log       | 0.1774         | 0.910    | 0.9368    | 0.766    |
+| 2     | 0.0606       | 0.1849         | 0.921    | 0.9454    | 0.787    |
+| 3     | 0.0351       | 0.2071         | 0.919    | 0.9434    | 0.787    |
+| 4     | 0.0180       | 0.2191         | 0.921    | 0.9451    | 0.793    |
+| 5     | 0.0093       | 0.2295         | 0.921    | 0.9451    | 0.793    |
+| 6     | 0.0060       | 0.2307         | 0.921    | 0.9451    | 0.793    |
+**Best epoch:** 6 (highest F1 and accuracy, last improvement at epoch 4)
+- **Final validation loss:** 0.2307
+- **Final F1:** 0.9212
+- **Final ROC AUC:** 0.9451
+- **Final Accuracy:** 0.7927
+---
+## Per-Category Classification Report
+| Label                                                               | Precision | Recall | F1-score | Support |
+|---------------------------------------------------------------------|-----------|--------|----------|---------|
+| Civil Security for Society                                          | 0.97      | 0.79   | 0.87     | 39      |
+| Climate, Energy and Mobility                                       | 0.94      | 0.91   | 0.93     | 91      |
+| Culture, Creativity and Inclusive Society                           | 0.89      | 0.88   | 0.88     | 96      |
+| Digital, Industry and Space                                         | 0.93      | 0.92   | 0.93     | 214     |
+| Food, Bioeconomy, Natural Resources, Agriculture and Environment    | 0.89      | 0.97   | 0.93     | 75      |
+| Health                                                             | 0.96      | 0.96   | 0.96     | 73      |
+| **micro avg**                                                      | 0.93      | 0.91   | 0.92     | 588     |
+| **macro avg**                                                      | 0.93      | 0.91   | 0.92     | 588     |
+| **weighted avg**                                                   | 0.93      | 0.91   | 0.92     | 588     |
+| **samples avg**                                                    | 0.91      | 0.92   | 0.90     | 588     |
+---
+## License
+This model is licensed under the [Apache License 2.0](https://www.apache.org/licenses/LICENSE-2.0).