---
language:
- pt
- en
tags:
- aes
datasets:
- kamel-usp/aes_enem_dataset
base_model: google-bert/bert-base-multilingual-cased
metrics:
- accuracy
- qwk
model-index:
  - name: mbert_base-C4
    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: 0.17299898682877404
          - name: QWK
            type: qwk
            value: 0.28170809432759725
          - name: Weighted Macro F1
            type: f1
            value: 0.4091229461257213
---
# Model ID: mbert_base-C4
## Results
|                  |   test_data |
|:-----------------|------------:|
| eval_accuracy    |  0.5        |
| eval_RMSE        | 33.708      |
| eval_QWK         |  0.281708   |
| eval_Macro_F1    |  0.172999   |
| eval_Weighted_F1 |  0.409123   |
| eval_Micro_F1    |  0.5        |
| eval_HDIV        |  0.00724638 |