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-C1
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: 0.44138845418188133
- name: QWK
type: qwk
value: 0.6742722265932337
- name: Weighted Macro F1
type: f1
value: 0.6413771139990777
Model ID: bertimbau_base-C1
Results
test_data | |
---|---|
eval_accuracy | 0.644928 |
eval_RMSE | 26.3752 |
eval_QWK | 0.674272 |
eval_Macro_F1 | 0.441388 |
eval_Weighted_F1 | 0.641377 |
eval_Micro_F1 | 0.644928 |
eval_HDIV | 0.00724638 |