metadata
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-C5
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: 0.3161400322841001
- name: QWK
type: qwk
value: 0.5735521338377112
- name: Weighted Macro F1
type: f1
value: 0.3828592483419307
Model ID: mbert_base-C5
Results
| test_data | |
|---|---|
| eval_accuracy | 0.405797 |
| eval_RMSE | 51.8638 |
| eval_QWK | 0.573552 |
| eval_Macro_F1 | 0.31614 |
| eval_Weighted_F1 | 0.382859 |
| eval_Micro_F1 | 0.405797 |
| eval_HDIV | 0.0652174 |