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---
library_name: transformers
language:
- en
metrics:
- f1
- roc_auc
- accuracy
base_model:
- distilbert/distilbert-base-uncased
pipeline_tag: text-classification
---
# Dacon 악성 URL 분류 AI 경진대회
[링크]("https://dacon.io/competitions/official/236451/overview/description")

base_model : distilbert/distilbert-base-uncased
tune parameters
```plantext
batch_size : 64
epocs : 5
learning_rate : 2e-5
weight_decay : 0.01
```
# Model Training Results
| Step | Training Loss | Validation Loss | Accuracy | F1 Score |
|------|--------------|----------------|----------|----------|
| 200 | 0.024300 | 0.453651 | 0.929750 | 0.928860 |
| 400 | 0.016700 | 0.543543 | 0.917750 | 0.916868 |
| 600 | 0.007600 | 0.604909 | 0.921250 | 0.921414 |
| 800 | 0.008500 | 0.588405 | 0.922750 | 0.922533 |
| 1000 | 0.007300 | 0.618596 | 0.925500 | 0.925138 |
| 1200 | 0.006300 | 0.628956 | 0.923250 | 0.922644 |
----
2025.02.17 기준

- roc_auc_socre = 0.94
- `Dacon` 순위 24위 |