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-C3
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: 0.15672242946179116
- name: QWK
type: qwk
value: 0.2641316569559441
- name: Weighted Macro F1
type: f1
value: 0.1613437300185681
Model ID: mbert_base-C3
Results
test_data | |
---|---|
eval_accuracy | 0.231884 |
eval_RMSE | 60.2411 |
eval_QWK | 0.264132 |
eval_Macro_F1 | 0.156722 |
eval_Weighted_F1 | 0.161344 |
eval_Micro_F1 | 0.231884 |
eval_HDIV | 0.0942029 |