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V7 FINAL: FASE1+FASE2 completed (10000 samples, 20 punishments)
V7 fixes:
- AdvancedSOMAugmenter.fit(): torch.no_grad() wrapper (OOM fix + .item() fix)
- V7Fase2Integrator.post_chunk_hook: defensive int/float, traceback logging
- V7Fase2Integrator._compute_adaptive_dpo: kls.neuron_label fix (was kls.som.neuron_labels)
- SimpleBBPETokenizer: pure alias to BBPETokenizer (no duplicate impl)
- train_v6_5_v2.py: SKIP_FASE1 support for FASE2 resume
Results:
- FASE1: 8000 samples (8 datasets, Kohonen only)
- FASE2: 2000 samples (BrunoN-Dev/corpus-ptbr-v1, punishment active)
- V7 augmenter: 10 fit() calls, 0 errors
- V7 DPO: 20 triggers, 0 errors
- SOM: dead 92.6%->56%, TE 0.87->0.39, VE 0.98
Cleanup:
- Deleted 1 misplaced/old files from HF root
- Uploaded 18 files to correct paths
