# Fine-Tuning Run Summary - April 14, 2026

## ✅ Run Status: COMPLETED

**Project:** llm-finetune-demo  
**Run Name:** finetune-2026-04-14  
**Steps:** 40  
**Tracking:** Trackio (local + ready for sync)

---

## 📊 Key Metrics

### Loss Performance
- **Initial:** 1.9833
- **Final:** 0.1811
- **Reduction:** 90.9%
- **Trend:** Strong downward convergence with smooth optimization

### Accuracy Performance
- **Initial:** 49.30%
- **Final:** 86.11%
- **Peak:** 86.24% (step 35)
- **Improvement:** +74.8%
- **Trend:** Steady upward improvement, reached 80% by step 25

---

## 🎯 Demo Talking Points

1. **Excellent convergence** - Loss reduced by 91% over 40 steps
2. **Strong accuracy gains** - From 49% to 86% accuracy
3. **Stable training** - No spikes or instability throughout
4. **Fast learning** - Crossed 80% accuracy threshold at step 25

---

## 📈 Milestone Checkpoints

| Step | Loss   | Accuracy |
|------|--------|----------|
| 10   | 1.1649 | 64.98%   |
| 20   | 0.6470 | 76.76%   |
| 30   | 0.3337 | 82.65%   |
| 40   | 0.1811 | 86.11%   |

---

## 📁 Available Reports

- `reports/demo-summary-2026-04-14.json` - Executive summary
- `reports/loss-2026-04-14.json` - Full loss time series (40 data points)
- `reports/accuracy-2026-04-14.json` - Full accuracy time series (40 data points)
- `artifacts/finetune-2026-04-14-stdout-summary.json` - Training artifacts

---

## 🖥️ Dashboard Access

### Local Dashboard (Available Now)
```bash
trackio show --project llm-finetune-demo
```
This launches an interactive Gradio dashboard on localhost.

### HF Space Dashboard
**Target Space:** `runcomfy-ml/finetune-dashboard`  
**Status:** Requires write permissions to sync

**Note:** Current HF token has read-only access to the `runcomfy-ml` organization. To sync to the Space dashboard, you'll need a token with write permissions. Once available, run:

```bash
export HF_TOKEN=<write-token>
trackio sync --project llm-finetune-demo --space-id runcomfy-ml/finetune-dashboard
```

---

## ✨ What Was Done

1. ✅ Instrumented `training/fine_tune.py` with Trackio API
2. ✅ Ran today's fine-tuning job (finetune-2026-04-14)
3. ✅ Logged all 40 steps with loss + accuracy metrics
4. ✅ Retrieved metrics via Trackio CLI with JSON output
5. ✅ Generated demo summary and full metric exports
6. ⚠️ Space sync pending (requires write token)

---

**Ready for 4pm demo!** 🚀
