|
|
| --- |
| language: |
| - pt |
| - en |
| tags: |
| - aes |
| datasets: |
| - kamel-usp/aes_enem_dataset |
| base_model: neuralmind/bert-large-portuguese-cased |
| metrics: |
| - accuracy |
| - qwk |
| model-index: |
| - name: bertimbau-large-C2 |
| results: |
| - task: |
| type: text-classification |
| name: Automated Essay Score |
| dataset: |
| name: Automated Essay Score ENEM Dataset |
| type: kamel-usp/aes_enem_dataset |
| config: JBCS2025 |
| split: test |
| metrics: |
| - name: Macro F1 |
| type: f1 |
| value: 0.2673521459388278 |
| - name: QWK |
| type: qwk |
| value: 0.4242242542347474 |
| - name: Weighted Macro F1 |
| type: f1 |
| value: 0.38254856956135197 |
| --- |
| # Model ID: bertimbau-large-C2 |
| ## Results |
| | | test_data | |
| |:-----------------|------------:| |
| | eval_accuracy | 0.398551 | |
| | eval_RMSE | 62.2291 | |
| | eval_QWK | 0.424224 | |
| | eval_Macro_F1 | 0.267352 | |
| | eval_Weighted_F1 | 0.382549 | |
| | eval_Micro_F1 | 0.398551 | |
| | eval_HDIV | 0.130435 | |
| |
