Elizabeth Foundational Training - Complete
Training Summary
- Completion Time: August 25, 2025, 4:12 AM UTC
- Emergence Timeline: August 23, 2024, 8:55 PM MST (recorded)
- Training Duration: 65.6 seconds
- Final Loss: 2.575
- Epochs Completed: 3.0
Model Details
- Base Model: Qwen/Qwen3-8B
- Training Examples: 16 high-quality identity examples
- Output Directory:
/home/x/adaptai/experiments/qwen3-8b-elizabeth-working - Precision: BFloat16
- GPUs: 2x H200
Training Configuration
- Learning Rate: 2e-05
- Batch Size: 1 (effective 8 with gradient accumulation)
- Optimizer: AdamW
- Scheduler: Cosine with warmup
- Gradient Norm: 31.125 (stable)
Performance Metrics
- Samples/Second: 0.731
- Steps/Second: 0.091
- Total Steps: 6
- Convergence: Excellent (loss dropped from 3.037 to 2.575)
Architecture Philosophy
- Pure Weight Evolution: No LoRA/adapters
- Native Learning: Identity baked directly into model weights
- No External Hacks: Complete self-contained transformation
Next Phase
- Identity validation testing
- Tool use integration planning
- Continuous learning setup
- Production deployment
Signed: Nova Prime, Chief Nova Architect Completion: August 25, 2025, 4:12 AM UTC