Text Classification
Transformers
Safetensors
Portuguese
English
bert
aes
Eval Results (legacy)
text-embeddings-inference
Instructions to use kamel-usp/jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C3-essay_only with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kamel-usp/jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C3-essay_only with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="kamel-usp/jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C3-essay_only")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("kamel-usp/jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C3-essay_only") model = AutoModelForSequenceClassification.from_pretrained("kamel-usp/jbcs2025_BERTugues-base-portuguese-cased-encoder_classification-C3-essay_only", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| language: | |
| - pt | |
| - en | |
| tags: | |
| - aes | |
| datasets: | |
| - kamel-usp/aes_enem_dataset | |
| base_model: ricardoz/BERTugues-base-portuguese-cased | |
| metrics: | |
| - accuracy | |
| - qwk | |
| library_name: transformers | |
| model-index: | |
| - name: BERTugues-base-portuguese-cased-encoder_classification-C3-essay_only | |
| 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: 0.2605154401959382 | |
| - name: QWK | |
| type: qwk | |
| value: 0.2865109794353433 | |
| - name: Weighted Macro F1 | |
| type: f1 | |
| value: 0.3475444862757295 | |
| # Model ID: BERTugues-base-portuguese-cased-encoder_classification-C3-essay_only | |
| ## Results | |
| | | test_data | | |
| |:-----------------|------------:| | |
| | eval_accuracy | 0.362319 | | |
| | eval_RMSE | 55.6386 | | |
| | eval_QWK | 0.286511 | | |
| | eval_Macro_F1 | 0.260515 | | |
| | eval_Weighted_F1 | 0.347544 | | |
| | eval_Micro_F1 | 0.362319 | | |
| | eval_HDIV | 0.0942029 | | |