Instructions to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16 with PEFT:
from peft import PeftModel from transformers import AutoModelForSequenceClassification base_model = AutoModelForSequenceClassification.from_pretrained("microsoft/phi-4") model = PeftModel.from_pretrained(base_model, "kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16") - Notebooks
- Google Colab
- Kaggle
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Download README.md from kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16: direct link, hf CLI and curl.
- Browser
- Download file 1.16 kB
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https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16/resolve/main/README.md
- Command line
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hf download hf://kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16/README.md
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curl -L -o README.md https://huggingface.co/kamel-usp/jbcs2025_phi-4-phi4_classification_lora-C2-essay_only-r16/resolve/main/README.md
1.16 kB
| language: | |
| - pt | |
| - en | |
| tags: | |
| - aes | |
| datasets: | |
| - kamel-usp/aes_enem_dataset | |
| base_model: microsoft/phi-4 | |
| metrics: | |
| - accuracy | |
| - qwk | |
| library_name: peft | |
| model-index: | |
| - name: phi-4-phi4_classification_lora-C2-essay_only-r16 | |
| 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: 0.1892660616537021 | |
| - name: QWK | |
| type: qwk | |
| value: 0.2093965776043229 | |
| - name: Weighted Macro F1 | |
| type: f1 | |
| value: 0.2273939139620625 | |
| # Model ID: phi-4-phi4_classification_lora-C2-essay_only-r16 | |
| ## Results | |
| | | test_data | | |
| |:-----------------|------------:| | |
| | eval_accuracy | 0.23913 | | |
| | eval_RMSE | 72.8707 | | |
| | eval_QWK | 0.209397 | | |
| | eval_Macro_F1 | 0.189266 | | |
| | eval_Weighted_F1 | 0.227394 | | |
| | eval_Micro_F1 | 0.23913 | | |
| | eval_HDIV | 0.144928 | | |