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Model: rogeriobayer/focus-patrol-qwen2.5-0.5b-v7
Source: Original Platform

README.md

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+---
+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.