README.md

---
language: en
tags:
  - job-classification
  - salary-prediction
  - experience-prediction
  - deberta
---
# JobPredictor1
Fine-tuned DeBERTa-v3-base model that predicts:
- **Expected years of experience** required for a job
- **Expected salary** (USD)

## Input Format
```
[LOCATION] <Remote | United States (State) | Country> [TITLE]: <job title> [DESC]: <job description>
```

## Outputs
| Output | Type | Description |
|---|---|---|
| expected_experience_years | int | Years of experience required |
| expected_salary | int | Expected salary (USD) |

## Normalization
Experience is z-score normalized:
```python
real_value = pred * norm_stats["expected_experience_years"]["std"] + norm_stats["expected_experience_years"]["mean"]
```
Salary is log1p + z-score normalized:
```python
real_salary = np.expm1(pred * norm_stats["expected_salary"]["std"] + norm_stats["expected_salary"]["mean"])
```

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

## Base Model
microsoft/deberta-v3-base