metadata
language:
- pt
- en
tags:
- aes
datasets:
- kamel-usp/aes_enem_dataset
base_model: neuralmind/bert-base-portuguese-cased
metrics:
- accuracy
- qwk
model-index:
- name: bertimbau_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: 0.36114488348530904
- name: QWK
type: qwk
value: 0.6258134490238612
- name: Weighted Macro F1
type: f1
value: 0.6545879036165807
Model ID: bertimbau_base-C4
Results
| test_data | |
|---|---|
| eval_accuracy | 0.644928 |
| eval_RMSE | 26.3752 |
| eval_QWK | 0.625813 |
| eval_Macro_F1 | 0.361145 |
| eval_Weighted_F1 | 0.654588 |
| eval_Micro_F1 | 0.644928 |
| eval_HDIV | 0.00724638 |