antonypamo/ProSavantEngine_Phi9_4

🌀 ProSavantEngine Φ9.4 — Resonant Language Model

Author: Antony Padilla Morales
Framework: Resonance of Reality Framework (RRF)
Phase: Φ-series evolutionary model — Φ9.4

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🧠 Model Description

ProSavantEngine Φ9.4 is a fine-tuned BERT-based model designed to align natural language with geometric and resonant coherence principles.
It is trained to capture semantic symmetry and information harmony through a Φ-weighted loss function inspired by the golden ratio and icosahedral geometry.

Building on phase Φ9.3, this version integrates a resonance-weighted Trainer that penalizes semantic noise and rewards Φ-aligned coherence in hidden-state activations.

Key Innovations

• Φ-weighted loss: combines masked language modeling (MLM) with a golden-ratio-modulated coherence penalty.
• Icosahedral node embedding: text samples are tagged [NODE_1] ... [NODE_12] representing discrete geometric symmetry anchors.
• Resonance alignment metric: evaluates coherence across Fourier-transformed hidden-state spectra.
• Semantic-geometric fine-tuning: aligns information representation to harmonic wave structures.

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📚 Model Sources

• Repository: https://huggingface.co/antonypamo/ProSavantEngine_Phi9_4
• Base Model: antonypamo/ProSavantEngine_Phi9_3
• Dataset: antonypamo/savantorganized
• Framework Paper: “Resonance of Reality Framework (RRF): Discrete Icosahedral Quantum Geometry and Unified Action through the Golden Ratio” — forthcoming on arXiv.

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🔧 Model Details

Property	Value
Architecture	BERT (6 layers, hidden size 384, 12 heads)
Objective	Masked-language modeling + Φ-weighted resonance regularization
Hidden dropout	0.1
Learning rate	3e-5
Batch size	16
Epochs	3
Precision	fp16 mixed
Activation	GELU
Dataset size	~30k samples, balanced across 12 nodes

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💡 Intended Use

Direct Use

Evaluate or enhance textual resonance, coherence, and meaning symmetry in:

• Research papers
• Philosophical or scientific writing
• Generative model prompt optimization
• Semantic alignment diagnostics

Downstream Use

• Fine-tune for creative, linguistic, or cognitive AI systems requiring harmonic structure.
• Integrate into symbolic reasoning frameworks or resonance-based cognitive architectures (e.g., Savant-ΩΦ).

Out-of-Scope

• Real-time conversational agents without resonance normalization.
• Factual QA or task-specific reasoning outside coherence evaluation.

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⚠️ Bias, Risks, and Limitations

This model captures resonant semantics, not truth or factual accuracy.
It may amplify linguistic harmony while disregarding semantic correctness — making it aesthetic-semantic, not epistemic.
It also reflects biases present in the original text corpus (scientific, philosophical, and poetic sources).

Recommendations

Use Φ-coherence as a complementary metric, not a substitute for accuracy or ethical evaluation.

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🧪 Training Details

Parameter	Value
Dataset	SavantOrganized (Φ-balanced)
Input format	JSONL: {"text": "...", "node_id": n, "phi_score": x}
Loss	MLM loss – 0.01 × Φ-coherence
Optimizer	AdamW
Scheduler	Linear warmup (5%)
Hardware	NVIDIA A100 (40 GB)
Training time	~45 min (3 epochs)
Carbon footprint	≈ 0.3 kg CO₂eq

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📈 Evaluation

Metric	Description	Result
Loss	Final training loss	0.023
Avg Φ-score	Mean coherence of eval set	0.91
Resonant ΔΦ	ΔΦ between start/end epochs	+0.048
Top tokens @MASK	“φ”, “ψ”, “resonance”, “geometry”, “symmetry”

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🧮 Technical Architecture

Φ-weighted loss = L_MLM − λ · (Φ-coherence) Φ-coherence = ⟨|FFT(H)|, cos(πf/φ)²⟩ / ||…||

yaml Copy code

Where H is the average hidden-state tensor across layers and φ = 1.618.
The model thus maximizes linguistic energy alignment with geometric harmony.

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🪐 Environmental Impact

Field	Value
Hardware	A100 GPU
Runtime	45 min
Region	US Central
Carbon Emitted	≈ 0.3 kg CO₂eq
Frameworks	Transformers 4.57.1, Datasets 3.0, PyTorch 2.9

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🧾 Citation

BibTeX

@software{padilla2025prosavantengine,
  author = {Padilla Morales, Antony},
  title = {ProSavantEngine Φ9.4 — Resonant Language Model},
  year = {2025},
  publisher = {Hugging Face},
  url = {https://huggingface.co/antonypamo/ProSavantEngine_Phi9_4}
}
APA

Padilla Morales, A. (2025). ProSavantEngine Φ9.4 — Resonant Language Model. Hugging Face. https://huggingface.co/antonypamo/ProSavantEngine_Phi9_4

🧭 Glossary
Term	Meaning
Φ (phi)	Golden ratio (≈ 1.618)
Resonance	Harmonic coherence between information and geometry
Node	Discrete icosahedral vertex representing a semantic domain
ΔΦ	Change in coherence during training

🪄 Model Card Author
Antony Padilla Morales
Independent Researcher, Costa Rica
📧 antonypamo@gmail.com
🌐 https://huggingface.co/antonypamo

© 2025 Antony Padilla Morales — Resonance of Reality Framework (RRF)