---
license: apache-2.0
language:
  - en
tags:
  - focus-patrol
  - qwen2.5
  - classification
pipeline_tag: text-generation
---

# Focus Patrol — Fine-tuned Qwen2.5-0.5B v7

Fine-tuned for 3-label browser tab classification: **focus**, **neutral**, **distraction**.

**Test accuracy: 90%** | **Validation accuracy: 80%**

## Training

- **Base model**: Qwen/Qwen2.5-0.5B-Instruct
- **Method**: PEFT LoRA (r=16, alpha=32)
- **Data**: 156 labeled browsing examples (136 train + 20 validation)
- **Epochs**: 5 (early stopping at epoch 3)
- **Hardware**: Apple Silicon MPS

## Usage with Transformers.js

```javascript
import { pipeline } from '@huggingface/transformers';

const classifier = await pipeline('text-generation', 'rogeriobayer/focus-patrol-qwen2.5-0.5b-v7', {
    dtype: 'q4',
    device: 'webgpu',
});

const result = await classifier(prompt, {
    max_new_tokens: 64,
    temperature: 0.3,
    do_sample: true,
    return_full_text: false,
});
```

## Performance

| Label | Test Accuracy | Validation Accuracy |
|-------|-------------|-------------------|
| Focus | 80% | 100% |
| Neutral | 100% | 73% |
| Distraction | 100% | 83% |
| **Overall** | **90%** | **80%** |

## Training Report

See [TRAINING_REPORT.md](https://github.com/rogeriobayer/focus-patrol/blob/main/focus-patrol-ai/TRAINING_REPORT.md) for full details.