
# Model Training Summary

## Data Splitting
- **Split Ratio**: 80:20 (Training:Test)

## Label Mapping
```python
label_mapping = {'non-severe': 0, 'severe': 1}
```

## Training Loss Over Iterations

| Step | Training Loss |
|------|---------------|
| 500  | 0.518800      |
| 1000 | 0.321000      |
| 1500 | 0.210000      |
| 2000 | 0.120900      |

## Evaluation Metrics

- **Accuracy**: 0.8452921586436573
- **Precision**: 0.8686567164179104
- **Recall**: 0.909375
- **F1-score**: 0.8885496183206106
- **MCC (Matthews Correlation Coefficient)**: 0.637922907223529

## Confusion Matrix

```
[[ 755  308]
 [ 203 2037]]
```
{"language": ["en"], "datasets": ["AliArshad/Bugzilla_Eclipse_Bug_Reports_Dataset"], "metrics": ["accuracy"], "pipeline_tag": "text-classification"}
transformers safetensors gpt2 text-classification en dataset:AliArshad/Bugzilla_Eclipse_Bug_Reports_Dataset autotrain_compatible endpoints_compatible has_space text-generation-inference region:us