# 🚀 Real-Time Progress - SkyPilot Fine-tuning

**Status**: ⏳ IN PROGRESS
**Started**: 2025-12-02 13:00 UTC
**Cluster**: sky-33ba-marcos

---

## 📊 Current Job: Fine-tuning

### Machine Provisioned:
```
Provider: Vast.ai (Czechia, CZ, EU)
Instance: A100 SXM4
vCPUs: 32 cores
RAM: 64GB
GPU: A100 (1x)
Cost: $0.00/hr ✨ FREE!
```

### What's Running:
1. ✅ Machine provisioned
2. ⏳ Installing dependencies (torch, transformers, librosa)
3. ⏳ Cloning repository
4. ⏳ Creating synthetic data (50 samples/emotion)
5. ⏳ Preparing dataset
6. ⏳ Fine-tuning emotion2vec (10 epochs)
7. ⏳ Testing model

### Estimated Time:
- Setup: ~5min
- Data generation: ~1min
- Fine-tuning: ~20-30min
- Testing: ~2min
- **Total**: ~30-40min

### Expected Output:
```
✅ Fine-tuning complete!
Model saved to: models/emotion/emotion2vec_finetuned_synthetic/
```

---

## 📝 How to Monitor

### Check logs in real-time:
```bash
sky logs sky-33ba-marcos -f
```

### Check status:
```bash
sky status
```

### SSH to machine (while running):
```bash
sky ssh sky-33ba-marcos
# Inside:
cd ensemble-tts-annotation
watch -n 1 nvidia-smi  # Monitor GPU usage
```

---

## 💰 Cost Tracking

| Item | Cost |
|------|------|
| Validation test | $0.00 |
| Fine-tuning (current) | $0.00 (Vast.ai spot) |
| **Total so far** | **$0.00** ✨ |

---

## 🎯 After This Completes

### Next Steps:
1. **Download model**:
   ```bash
   sky scp sky-33ba-marcos:~/ensemble-tts-annotation/models/emotion/finetuned/ ./models/
   ```

2. **Test locally**:
   ```python
   from ensemble_tts import EnsembleAnnotator

   annotator = EnsembleAnnotator(mode='balanced', device='cuda')
   result = annotator.annotate('audio.wav')
   ```

3. **Cleanup**:
   ```bash
   sky down sky-33ba-marcos
   ```

4. **Then run**:
   - Multi-GPU test (optional)
   - OR Full Orpheus annotation (118k samples)

---

## 📈 Progress Updates

### ✅ Job Completed - Partial Success

**Time**: 2025-12-02 13:03 UTC
**Duration**: 3 minutes
**Status**: ✅ SUCCEEDED (com erro no model loading)

#### What Worked ✅
- ✅ Machine provisioned (A100 SXM4, 32 vCPUs, 64GB RAM)
- ✅ Dependencies installed (torch, transformers, librosa)
- ✅ Repository cloned
- ✅ **350 synthetic samples created** (50/emotion)
- ✅ **Dataset prepared** (data/prepared/synthetic_prepared)

#### Issues Found ❌
- ❌ emotion2vec model loading failed
- ❌ Model requires `funasr` library (not standard transformers)
- ❌ Fine-tuning didn't execute
- ❌ Model testing failed

#### Next Steps 🔧
1. Update emotion2vec implementation to use compatible wav2vec2
2. Re-run fine-tuning with corrected code
3. Or: Install funasr for native emotion2vec support

**Last update**: 2025-12-02 13:07 UTC - Completed with model loading error