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Add evaluation results and output files to model card
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---
language: code
tags:
- binary-classification
- model
- evaluation
metrics:
- average_precision: 0.69
- roc_auc: 0.80
- best threshold according to F1: 0.49
---
# Binary Classification Model
## Evaluation Results
**Average Precision:** 0.69
**ROC AUC:** 0.80
**best threshold according to F1: 0.49
## Visualizations
### Precision-Recall Curve
![Precision-Recall Curve](./pr_curve.png)
### ROC Curve
![ROC Curve](./roc_curve.png)
## Output Files and Directories
- ๐Ÿ“‚ `checkpoint-171/`
- `config.json`
- `model.safetensors`
- `preprocessor_config.json`
- `training_args.bin`