---
language: en
tags:
  - job-classification
  - salary-prediction
  - experience-prediction
  - deberta
---

# JobPredictor1

Fine-tuned DeBERTa-v3-small model that predicts:
- **Expected years of experience** required for a job
- **Lower salary bound** (USD)
- **Upper salary bound** (USD)

## Input Format
```
[TITLE]: <job title> [DESC]: <job description>
```

## Outputs
| Output | Type | Description |
|---|---|---|
| expected_experience_years | int | Years of experience required |
| pay_lower | int | Lower salary bound (USD) |
| pay_upper | int | Upper salary bound (USD) |

## Normalization
Predictions are z-score normalized. Use `norm_stats.json` to denormalize:
```python
real_value = pred * norm_stats[col]["std"] + norm_stats[col]["mean"]
```

## Test Set Performance
| Metric | Value |
|---|---|
| Experience MAE | 0.57 years |
| Experience Within 1yr | 83.1% |
| Pay Lower MAE | $15,511 |
| Pay Lower Within $20k | 84.5% |
| Pay Upper MAE | $20,190 |
| Pay Upper Within $20k | 76.0% |

## Base Model
microsoft/deberta-v3-small