---
license: mit
tags:
- deberta
- text-complexity
- onnx
- regression
library_name: transformers
---

# MoA Complexity Regressor v2

DeBERTa-v3-small fine-tuned for text complexity scoring (regression).

## Metrics
- **MAE**: 0.0418
- **R2**: 0.954
- **Effort Accuracy**: 85.5%

## Effort Tiers
| Score Range | Label |
|------------|-------|
| 0.00-0.08 | trivial |
| 0.08-0.18 | light |
| 0.18-0.32 | moderate |
| 0.32-0.52 | heavy |
| 0.52-0.72 | intensive |
| 0.72-1.00 | extreme |

## Usage
Load the ONNX model with onnxruntime, tokenize input with DeBERTa-v3-small tokenizer.