Dacon 악성 URL 분류 AI 경진대회
base_model : distilbert/distilbert-base-uncased
tune parameters
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 |
PS: 성능치 좋으나 아직 테스트를 하지 않은 상태라 추구 인퍼런스 필요
- Downloads last month
- 17
Inference Providers
NEW
This model is not currently available via any of the supported Inference Providers.
Model tree for UICHEOL-HWANG/malicious-url-detection
Base model
distilbert/distilbert-base-uncased