| # microsoft/codebert-base Script Detector | |
| ## Summary | |
| | Field | Value | | |
| | --- | --- | | |
| | Base model | `microsoft/codebert-base` | | |
| | Phase | `phase1` | | |
| | Target repo | `HID-APP/script-detector-microsoft-codebert-base` | | |
| | Datasets | `HID-APP/All-combined` | | |
| | Text column | `text` | | |
| | Epochs | 3.0000 | | |
| | Max length | 512 | | |
| | Train batch size | 4 | | |
| | Eval batch size | 8 | | |
| | Gradient accumulation steps | 4 | | |
| | Learning rate | 0.0000 | | |
| | Precision | fp16 | | |
| | Optimizer | adamw_torch | | |
| | Dataloader workers | 0 | | |
| | Gradient checkpointing | False | | |
| | Group by length | True | | |
| | LoRA enabled | False | | |
| ## Dataset Sources | |
| | Source | Type | Revision | Fingerprint | | |
| | --- | --- | --- | --- | | |
| | HID-APP/All-combined | huggingface | default | 81f16d3fdbb4f97d3574f5c78bce8ada7b15c9ccd625913daa095cae6d545d67 | | |
| ## Training And Validation History | |
| | Epoch | Step | Train Loss | Eval Loss | Accuracy | Precision | Recall | F1 | | |
| | --- | --- | --- | --- | --- | --- | --- | --- | | |
| | 1.0000 | 373 | 3.2531 | | | | | | | |
| | 1.0000 | 373 | | 0.5277 | 0.8353 | 0.8144 | 0.9806 | 0.8898 | | |
| | 2.0000 | 746 | 2.7352 | | | | | | | |
| | 2.0000 | 746 | | 0.5214 | 0.8291 | 0.8015 | 0.9943 | 0.8875 | | |