REALTIME_PROGRESS.md

🚀 Real-Time Progress - SkyPilot Fine-tuning

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

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📊 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/

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📝 How to Monitor

Check logs in real-time:

sky logs sky-33ba-marcos -f

Check status:

sky status

SSH to machine (while running):

sky ssh sky-33ba-marcos
# Inside:
cd ensemble-tts-annotation
watch -n 1 nvidia-smi  # Monitor GPU usage

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💰 Cost Tracking

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

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🎯 After This Completes

Next Steps:

1. Download model:

   sky scp sky-33ba-marcos:~/ensemble-tts-annotation/models/emotion/finetuned/ ./models/
   

2. Test locally:

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

3. Cleanup:

   sky down sky-33ba-marcos
   

4. Then run:

   • Multi-GPU test (optional)
   • OR Full Orpheus annotation (118k samples)

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📈 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