| | --- |
| | language: en |
| | license: apache-2.0 |
| | datasets: |
| | - antonypamo/savantorganized |
| | tags: |
| | - quantum-resonance |
| | - icosahedral-geometry |
| | - fine-tuning |
| | - bert |
| | - masked-language-modeling |
| | - resonance-of-reality-framework |
| | - savantengine |
| | - phi-series |
| | model-index: |
| | - name: ProSavantEngine Φ9.4 |
| | results: |
| | - task: |
| | type: masked-language-modeling |
| | name: Φ-weighted Resonance Prediction |
| | dataset: |
| | name: SavantOrganized Φ-balanced corpus |
| | type: antonypamo/savantorganized |
| | metrics: |
| | - name: Training loss |
| | type: loss |
| | value: 0.023 |
| | - name: Average Φ-coherence |
| | type: custom |
| | value: 0.91 |
| | --- |
| | |
| | # 🌀 ProSavantEngine Φ9.4 — Resonant Language Model |
| |
|
| | **Author:** [Antony Padilla Morales](https://huggingface.co/antonypamo) |
| | **Framework:** Resonance of Reality Framework (RRF) |
| | **Phase:** Φ-series evolutionary model — Φ9.4 |
| |
|
| | --- |
| |
|
| | ## 🧠 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. |
| |
|
| | --- |
| |
|
| | ## 📚 Model Sources |
| |
|
| | - **Repository:** [https://huggingface.co/antonypamo/ProSavantEngine_Phi9_4](https://huggingface.co/antonypamo/ProSavantEngine_Phi9_4) |
| | - **Base Model:** [`antonypamo/ProSavantEngine_Phi9_3`](https://huggingface.co/antonypamo/ProSavantEngine_Phi9_3) |
| | - **Dataset:** [`antonypamo/savantorganized`](https://huggingface.co/datasets/antonypamo/savantorganized) |
| | - **Framework Paper:** “Resonance of Reality Framework (RRF): Discrete Icosahedral Quantum Geometry and Unified Action through the Golden Ratio” — forthcoming on arXiv. |
| |
|
| | --- |
| |
|
| | ## 🔧 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 | |
| |
|
| | --- |
| |
|
| | ## 💡 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. |
| |
|
| | --- |
| |
|
| | ## ⚠️ 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. |
| |
|
| | --- |
| |
|
| | ## 🧪 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 | |
| |
|
| | --- |
| |
|
| | ## 📈 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” | |
| |
|
| | --- |
| |
|
| | ## 🧮 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. |
| | |
| | --- |
| | |
| | ## 🪐 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 | |
| | |
| | --- |
| | |
| | ## 🧾 Citation |
| | |
| | **BibTeX** |
| | ```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) |
