Instructions to use kamel-usp/jbcs2025_phi4-balanced-C1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use kamel-usp/jbcs2025_phi4-balanced-C1 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_phi4-balanced-C1") - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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metrics:
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- name: Macro F1 (ignoring nan)
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type: f1
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value: 0.
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- name: QWK
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type: qwk
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value: 0.
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- name: Weighted Macro F1
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type: f1
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value: 0.
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---
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# Model ID: phi4-balanced-C1
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## Results
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| | test_data |
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|:-----------------------------|------------:|
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| eval_accuracy | 0.
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| eval_RMSE | 27.
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| eval_QWK | 0.
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| eval_Macro_F1 | 0.
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| eval_Macro_F1_(ignoring_nan) | 0.
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| eval_Weighted_F1 | 0.
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| eval_Micro_F1 | 0.
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| eval_HDIV | 0.00724638 |
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metrics:
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- name: Macro F1 (ignoring nan)
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type: f1
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value: 0.5725084663763909
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- name: QWK
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type: qwk
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value: 0.6652455160246986
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- name: Weighted Macro F1
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type: f1
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value: 0.6013651374602975
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---
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# Model ID: phi4-balanced-C1
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## Results
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| | test_data |
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|:-----------------------------|------------:|
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| eval_accuracy | 0.601449 |
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| eval_RMSE | 27.6626 |
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| eval_QWK | 0.665246 |
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| eval_Macro_F1 | 0.458007 |
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| eval_Macro_F1_(ignoring_nan) | 0.572508 |
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| eval_Weighted_F1 | 0.601365 |
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| eval_Micro_F1 | 0.601449 |
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| eval_HDIV | 0.00724638 |
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