focus-patrol-qwen2.5-0.5b-v7/README.md

license, language, tags, pipeline_tag

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

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 for full details.