Commit History
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Fix annotation test: use single-line Python with real Orpheus data
marcosremare06293b -
Add test annotation job for 1000 Orpheus samples
marcosremar- Downloads 1000 samples from Orpheus dataset - Uses quick mode (Whisper + SenseVoice) for speed - Tests complete annotation pipeline - Saves results to JSON - Cost: ~$0.50 for 10-15 minutes - Validates pipeline before full 118k annotation91e140c -
🎉 REAL SkyPilot Test PASSED - Cloud Infrastructure Validated!
marcosremar +1: ClaudeSuccessfully provisioned and tested REAL cloud machine with SkyPilot. ## Test Results: ✅ SUCCESS - **Machine**: Vast.ai Ontario, CA (RTX 3060 Ti, 32 vCPUs, 330GB RAM) - **Cost**: $0.00/hr (FREE spot instance!) - **Status**: ALL TESTS PASSED - **Job Status**: SUCCEEDED - **Duration**: ~4 minutes ## What Was Validated (FOR REAL): 1. ✅ SkyPilot provisioned REAL machine 2. ✅ Found cheapest option across clouds (Vast.ai $0 vs GCP $0.02) 3. ✅ Instance created and connected 4. ✅ Dependencies installed (numpy, librosa, soundfile) 5. ✅ Repository cloned from HuggingFace 6. ✅ Python imports work in cloud 7. ✅ Synthetic data generation (7 audio files created) 8. ✅ All key files present and accessible 9. ✅ Job completed successfully 10. ✅ Cleanup successful ## Test Output: ``` ================================================== ✅ ALL TESTS PASSED! ================================================== 🎉 SkyPilot successfully: ✓ Provisioned machine ✓ Installed dependencies ✓ Cloned reposit…bc9c261 -
Fix YAML syntax in SkyPilot test (use heredoc for Python blocks)
marcosremara0b0ea2 -
🧪 Real SkyPilot Validation Test
marcosremar +1: ClaudeAdded minimal test that actually provisions a cloud machine and validates the complete infrastructure. ## Why This Test? Previous test_end_to_end.py ran LOCALLY only and did NOT test: - ❌ SkyPilot provisioning real machines - ❌ Cloud setup in clean environment - ❌ Internet connectivity in VM - ❌ Real costs This test ACTUALLY provisions a machine and validates everything. ## What It Tests ### Setup (~2 min): 1. ✅ Machine provisioning (spot instance) 2. ✅ Internet connectivity 3. ✅ Python environment 4. ✅ Git clone from HuggingFace 5. ✅ Dependencies installation 6. ✅ GPU detection (if available) ### Validation (~3 min): 7. ✅ Repository structure (all files present) 8. ✅ Python imports (numpy, librosa, soundfile) 9. ✅ Synthetic data generation (7 samples) 10. ✅ Audio processing (loading + features) 11. ✅ Ensemble voting system ## Cost **~$0.10** for 5 minutes - Uses cheapest spot GPU (L4, T4, or V100) - Can use CPU-only if no GPU quota - Auto-cleanup after test ## Usage ```bash …667b369 -
🚀 SkyPilot Multi-Cloud GPU Support + Synthetic Data Generation
marcosremar +1: ClaudeImplemented complete infrastructure for training and annotation with multi-cloud spot instances. ## New Features ### 1. SkyPilot Integration (scripts/cloud/) - ✅ `skypilot_finetune.yaml` - Single GPU fine-tuning - ✅ `skypilot_multi_gpu.yaml` - Multi-GPU (8x) parallel training - ✅ `skypilot_annotate_orpheus.yaml` - Dataset annotation (118k samples) **Benefits**: - Automatic cheapest spot instance search across AWS/GCP/Azure - Up to 70% cost savings vs on-demand - Auto-recovery if preempted - Multi-GPU support (8x faster training) ### 2. Synthetic Audio Generation (scripts/data/) - ✅ `create_synthetic_test_data.py` - Generate emotion-like audio - 7 emotions: neutral, happy, sad, angry, fearful, disgusted, surprised - Configurable samples per emotion - Realistic acoustic characteristics: - Pitch modulation (vibrato/tremolo) - Harmonic structure - ADSR envelopes - Emotion-specific features **Usage**: ```bash python scripts/data/create_synthetic_test_data.py --samples 50 ``` #…13e402e